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Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
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they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Multivariate Statistical Analysis of Water Chemistry in Evaluating the  

Broader source: Energy.gov (indexed) [DOE]

Multivariate Statistical Analysis of Water Chemistry in Evaluating Multivariate Statistical Analysis of Water Chemistry in Evaluating the Origin of Contamination in Many Devils Wash, Shiprock, New Mexico Multivariate Statistical Analysis of Water Chemistry in Evaluating the Origin of Contamination in Many Devils Wash, Shiprock, New Mexico Multivariate Statistical Analysis of Water Chemistry in Evaluating the Origin of Contamination in Many Devils Wash, Shiprock, New Mexico Multivariate Statistical Analysis of Water Chemistry in Evaluating the Origin of Contamination in Many Devils Wash, Shiprock, New Mexico More Documents & Publications Application of Environmental Isotopes to the Evaluation of the Origin of Contamination in a Desert Arroyo: Many Devils Wash, Shiprock, New Mexico Natural Contamination from the Mancos Shale

2

Characterization of Nuclear Fuel using Multivariate Statistical Analysis  

SciTech Connect (OSTI)

Various combinations of reactor type and fuel composition have been characterized using principle components analysis (PCA) of the concentrations of 9 U and Pu isotopes in the 10 fuel as a function of burnup. The use of PCA allows the reduction of the 9-dimensional data (isotopic concentrations) into a 3-dimensional approximation, giving a visual representation of the changes in nuclear fuel composition with burnup. Real-world variation in the concentrations of {sup 234}U and {sup 236}U in the fresh (unirradiated) fuel was accounted for. The effects of reprocessing were also simulated. The results suggest that, 15 even after reprocessing, Pu isotopes can be used to determine both the type of reactor and the initial fuel composition with good discrimination. Finally, partial least squares discriminant analysis (PSLDA) was investigated as a substitute for PCA. Our results suggest that PLSDA is a better tool for this application where separation between known classes is most important.

Robel, M; Robel, M; Robel, M; Kristo, M J; Kristo, M J

2007-11-27T23:59:59.000Z

3

Statistical process control based on Multivariate Image Analysis: A new proposal for monitoring and defect detection  

Science Journals Connector (OSTI)

Abstract The monitoring, fault detection and visualization of defects are a strategic issue for product quality. This paper presents a novel methodology based on the integration of textural Multivariate Image Analysis (MIA) and multivariate statistical process control (MSPC) for process monitoring. The proposed approach combines MIA and p-control charts, as well as T2 and RSS images for defect location and visualization. Simulated images of steel plates are used to illustrate the monitoring performance of it. Both approaches are also applied on real clover images.

J.M. Prats-Montalbán; A. Ferrer

2014-01-01T23:59:59.000Z

4

An Application of Multivariate Statistical Analysis for Query-Driven Visualization  

SciTech Connect (OSTI)

Abstract?Driven by the ability to generate ever-larger, increasingly complex data, there is an urgent need in the scientific community for scalable analysis methods that can rapidly identify salient trends in scientific data. Query-Driven Visualization (QDV) strategies are among the small subset of techniques that can address both large and highly complex datasets. This paper extends the utility of QDV strategies with a statistics-based framework that integrates non-parametric distribution estimation techniques with a new segmentation strategy to visually identify statistically significant trends and features within the solution space of a query. In this framework, query distribution estimates help users to interactively explore their query's solution and visually identify the regions where the combined behavior of constrained variables is most important, statistically, to their inquiry. Our new segmentation strategy extends the distribution estimation analysis by visually conveying the individual importance of each variable to these regions of high statistical significance. We demonstrate the analysis benefits these two strategies provide and show how they may be used to facilitate the refinement of constraints over variables expressed in a user's query. We apply our method to datasets from two different scientific domains to demonstrate its broad applicability.

Gosink, Luke J.; Garth, Christoph; Anderson, John C.; Bethel, E. Wes; Joy, Kenneth I.

2010-03-01T23:59:59.000Z

5

Multivariate calibration applied to the quantitative analysis of infrared spectra  

SciTech Connect (OSTI)

Multivariate calibration methods are very useful for improving the precision, accuracy, and reliability of quantitative spectral analyses. Spectroscopists can more effectively use these sophisticated statistical tools if they have a qualitative understanding of the techniques involved. A qualitative picture of the factor analysis multivariate calibration methods of partial least squares (PLS) and principal component regression (PCR) is presented using infrared calibrations based upon spectra of phosphosilicate glass thin films on silicon wafers. Comparisons of the relative prediction abilities of four different multivariate calibration methods are given based on Monte Carlo simulations of spectral calibration and prediction data. The success of multivariate spectral calibrations is demonstrated for several quantitative infrared studies. The infrared absorption and emission spectra of thin-film dielectrics used in the manufacture of microelectronic devices demonstrate rapid, nondestructive at-line and in-situ analyses using PLS calibrations. Finally, the application of multivariate spectral calibrations to reagentless analysis of blood is presented. We have found that the determination of glucose in whole blood taken from diabetics can be precisely monitored from the PLS calibration of either mind- or near-infrared spectra of the blood. Progress toward the non-invasive determination of glucose levels in diabetics is an ultimate goal of this research. 13 refs., 4 figs.

Haaland, D.M.

1991-01-01T23:59:59.000Z

6

Hybrid least squares multivariate spectral analysis methods  

DOE Patents [OSTI]

A set of hybrid least squares multivariate spectral analysis methods in which spectral shapes of components or effects not present in the original calibration step are added in a following estimation or calibration step to improve the accuracy of the estimation of the amount of the original components in the sampled mixture. The "hybrid" method herein means a combination of an initial classical least squares analysis calibration step with subsequent analysis by an inverse multivariate analysis method. A "spectral shape" herein means normally the spectral shape of a non-calibrated chemical component in the sample mixture but can also mean the spectral shapes of other sources of spectral variation, including temperature drift, shifts between spectrometers, spectrometer drift, etc. The "shape" can be continuous, discontinuous, or even discrete points illustrative of the particular effect.

Haaland, David M. (Albuquerque, NM)

2002-01-01T23:59:59.000Z

7

Augmented Classical Least Squares Multivariate Spectral Analysis  

DOE Patents [OSTI]

A method of multivariate spectral analysis, termed augmented classical least squares (ACLS), provides an improved CLS calibration model when unmodeled sources of spectral variation are contained in a calibration sample set. The ACLS methods use information derived from component or spectral residuals during the CLS calibration to provide an improved calibration-augmented CLS model. The ACLS methods are based on CLS so that they retain the qualitative benefits of CLS, yet they have the flexibility of PLS and other hybrid techniques in that they can define a prediction model even with unmodeled sources of spectral variation that are not explicitly included in the calibration model. The unmodeled sources of spectral variation may be unknown constituents, constituents with unknown concentrations, nonlinear responses, non-uniform and correlated errors, or other sources of spectral variation that are present in the calibration sample spectra. Also, since the various ACLS methods are based on CLS, they can incorporate the new prediction-augmented CLS (PACLS) method of updating the prediction model for new sources of spectral variation contained in the prediction sample set without having to return to the calibration process. The ACLS methods can also be applied to alternating least squares models. The ACLS methods can be applied to all types of multivariate data.

Haaland, David M. (Albuquerque, NM); Melgaard, David K. (Albuquerque, NM)

2005-07-26T23:59:59.000Z

8

Augmented Classical Least Squares Multivariate Spectral Analysis  

DOE Patents [OSTI]

A method of multivariate spectral analysis, termed augmented classical least squares (ACLS), provides an improved CLS calibration model when unmodeled sources of spectral variation are contained in a calibration sample set. The ACLS methods use information derived from component or spectral residuals during the CLS calibration to provide an improved calibration-augmented CLS model. The ACLS methods are based on CLS so that they retain the qualitative benefits of CLS, yet they have the flexibility of PLS and other hybrid techniques in that they can define a prediction model even with unmodeled sources of spectral variation that are not explicitly included in the calibration model. The unmodeled sources of spectral variation may be unknown constituents, constituents with unknown concentrations, nonlinear responses, non-uniform and correlated errors, or other sources of spectral variation that are present in the calibration sample spectra. Also, since the various ACLS methods are based on CLS, they can incorporate the new prediction-augmented CLS (PACLS) method of updating the prediction model for new sources of spectral variation contained in the prediction sample set without having to return to the calibration process. The ACLS methods can also be applied to alternating least squares models. The ACLS methods can be applied to all types of multivariate data.

Haaland, David M. (Albuquerque, NM); Melgaard, David K. (Albuquerque, NM)

2005-01-11T23:59:59.000Z

9

Inspection of surface defects in copper strip using multivariate statistical approach and SVM  

Science Journals Connector (OSTI)

The surface quality would directly influence the capability and quality of the final product, but there is little domestic research focused on surface defects inspection for copper strip based on automated visual inspection. According to the gradual change of intensity levels of copper strips surface defect, a defect detection algorithm is proposed using wavelet-based multivariate statistical analysis. First, the image is divided into several sub-images, namely statistical units, and then each unit is further decomposed into multiple wavelet processing units. Then each wavelet processing unit is decomposed by 1D db4 wavelet function. Then, multivariate statistics of Hotelling T² are applied to distinguish the existence of defects and classify the defects using support vector machine (SVM). During SVM design, the authors used cross-validation method to get the best parameters and then used the parameters to train and test the samples. Finally, the defect detection performance of the proposed approach is compared with the traditional method based on greyscale. Experimental results demonstrate that the proposed method has better performance on identification, especially its application in the ripple defects can achieve a 96.7% probability of detecting the existence of micro defects, which was poor in common algorithms.

Xue-Wu Zhang; Fang Gong; Li-Zhong Xu

2012-01-01T23:59:59.000Z

10

Apparatus and system for multivariate spectral analysis  

DOE Patents [OSTI]

An apparatus and system for determining the properties of a sample from measured spectral data collected from the sample by performing a method of multivariate spectral analysis. The method can include: generating a two-dimensional matrix A containing measured spectral data; providing a weighted spectral data matrix D by performing a weighting operation on matrix A; factoring D into the product of two matrices, C and S.sup.T, by performing a constrained alternating least-squares analysis of D=CS.sup.T, where C is a concentration intensity matrix and S is a spectral shapes matrix; unweighting C and S by applying the inverse of the weighting used previously; and determining the properties of the sample by inspecting C and S. This method can be used by a spectrum analyzer to process X-ray spectral data generated by a spectral analysis system that can include a Scanning Electron Microscope (SEM) with an Energy Dispersive Detector and Pulse Height Analyzer.

Keenan, Michael R. (Albuquerque, NM); Kotula, Paul G. (Albuquerque, NM)

2003-06-24T23:59:59.000Z

11

E-Print Network 3.0 - automatic multivariable analysis Sample...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

K. (1999). A fast... A MULTIVARIATE OUTLIER DETECTION METHOD P. Filzmoser Department of Statistics and Probability... of multivariate outliers is proposed which accounts for the...

12

Combining multivariate analysis and cost analysis in outdoor recreation planning  

Science Journals Connector (OSTI)

Abstract In this paper we examine the usefulness of combining multivariate analysis and costs analysis in recreation planning. Although these approaches have sometimes been developed in previous recreation studies, they have never been combined in this way. We apply this approach to a regional beach planning policy called the “Beach Plan”, in Aquitaine, south-western France. A multivariate procedure is used to assess the current environmental and social conditions of the 91 beaches included in the Plan. It reveals some connections between the variables we selected at the inventory step and leads to the definition of four homogeneous clusters of sites. We also identify possible social inequities. We find that the partition obtained by the cluster analysis does not coincide with the classification defined in the Plan. This confirms the necessity of an iterative process between inventory and implementation steps. We then examine the cost consequences of the implementation of the Plan. To do so, we define “total incremental cost functions” which enable us to evaluate the cost impacts of introducing sites in the Plan. We show that the application of the strict efficiency criterion may lead to several socially undesirable effects. We therefore propose an alternative integration path, called the “no social cost” path, after combining results provided by the multivariate analysis and the cost analysis. Management implications • At the inventory stage of recreation planning, multivariate analyses provide a synoptic description of recreational activities, out of a large quantity of data. Multiple correspondence analysis is a factorial method designed to deal with categorical variables • The combination of physical and socioeconomic data is of great help to decision makers in defining new social objectives in recreational planning. • By identifying possible correlations between the variables, multivariate analyses provide a better understanding of the functioning of sites. In the French case for instance, the level of use and the management effort are much more discriminating than the environmental characteristics of the beaches. • Cost analysis aims at giving full account of the variability of management costs at the site level. Several drivers are identified accordingly. • Cost analysis is also a means to compare several strategies for implementing the plan. In the present case, ranking the sites according to a “pure efficiency” criterion may be appealing because it allows for the introduction of 66 sites (out of the 91) into the planning process at a zero overall cost. • The selection rule based on the efficiency criterion tends to increase social and economic inequalities between the municipalities. Another selection rule (hereafter called the “no social costs”) may reduce such undesirable effects.

Jeoffrey Dehez; Sandrine Lyser

2014-01-01T23:59:59.000Z

13

Determination of the Country of Origin of Farm-Raised Shrimp (Family Penaeide) Using Trace Metal Profiling and Multivariate Statistics  

Science Journals Connector (OSTI)

Determination of the Country of Origin of Farm-Raised Shrimp (Family Penaeide) Using Trace Metal Profiling and Multivariate Statistics ... The proximity of the sample data to either centroid was used by SAS statistical software to calculate the probability of membership. ... countrystatisticBCuZnRbSrMnFeBaTiAsSeSr/Ba ...

Ralph G. Smith; Carson A. Watts

2009-08-28T23:59:59.000Z

14

A comparative multivariate analysis of household energy requirements in Australia, Brazil, Denmark, India and Japan  

Science Journals Connector (OSTI)

In this paper, we appraise sustainable household consumption from a global perspective. Using per capita energy requirements as an indicator of environmental pressure, we focus on the importance of income growth in a cross-country analysis. Our analysis is supported by a detailed within-country analysis encompassing five countries, in which we assess the importance of various socioeconomic-demographic characteristics of household energy requirements. We bring together family expenditure survey data, input–output tables, and energy statistics in a multivariate analysis. Instead of a uniform Kuznet's curve, we find that the effect of increasing income varies considerably across countries, even when controlling for socioeconomic and demographic variations. The latter variables show similar influences, but differing importance across countries.

Manfred Lenzen; Mette Wier; Claude Cohen; Hitoshi Hayami; Shonali Pachauri; Roberto Schaeffer

2006-01-01T23:59:59.000Z

15

DAMOCO: MATLAB toolbox for multivariate data analysis, based on coupled oscillators approach  

E-Print Network [OSTI]

DAMOCO: MATLAB toolbox for multivariate data analysis, based on coupled oscillators approach This manual describes the collection of MATLAB programs for multivariate data analysis, based on modeling.agnld.uni-potsdam.de/~mros/damoco.html. 1 Introduction DAMOCO means Data Analysis with Models Of Coupled Oscillators. This MATLAB toolbox

Potsdam, Universität

16

Independent Statistics & Analysis  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

& Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 Quarterly Coal Distribution Report April - June 2014 This report was prepared by the U.S. Energy...

17

Sloshing in the LNG shipping industry: risk modelling through multivariate heavy-tail analysis  

E-Print Network [OSTI]

Sloshing in the LNG shipping industry: risk modelling through multivariate heavy-tail analysis In the liquefied natural gas (LNG) shipping industry, the phenomenon of slosh- ing can lead to the occurrence in the LNG shipping industry. KEYWORDS: Sloshing, multivariate heavy-tail distribution, asymptotic depen

18

Systematic wavelength selection for improved multivariate spectral analysis  

DOE Patents [OSTI]

Methods and apparatus for determining in a biological material one or more unknown values of at least one known characteristic (e.g. the concentration of an analyte such as glucose in blood or the concentration of one or more blood gas parameters) with a model based on a set of samples with known values of the known characteristics and a multivariate algorithm using several wavelength subsets. The method includes selecting multiple wavelength subsets, from the electromagnetic spectral region appropriate for determining the known characteristic, for use by an algorithm wherein the selection of wavelength subsets improves the model's fitness of the determination for the unknown values of the known characteristic. The selection process utilizes multivariate search methods that select both predictive and synergistic wavelengths within the range of wavelengths utilized. The fitness of the wavelength subsets is determined by the fitness function F=.function.(cost, performance). The method includes the steps of: (1) using one or more applications of a genetic algorithm to produce one or more count spectra, with multiple count spectra then combined to produce a combined count spectrum; (2) smoothing the count spectrum; (3) selecting a threshold count from a count spectrum to select these wavelength subsets which optimize the fitness function; and (4) eliminating a portion of the selected wavelength subsets. The determination of the unknown values can be made: (1) noninvasively and in vivo; (2) invasively and in vivo; or (3) in vitro.

Thomas, Edward V. (2828 Georgia NE., Albuquerque, NM 87110); Robinson, Mark R. (1603 Solano NE., Albuquerque, NM 87110); Haaland, David M. (809 Richmond Dr. SE., Albuquerque, NM 87106)

1995-01-01T23:59:59.000Z

19

Oil price and financial markets: Multivariate dynamic frequency analysis  

Science Journals Connector (OSTI)

Abstract The aim of this paper is to study the degree of interdependence between oil price and stock market index into two groups of countries: oil-importers and oil-exporters. To this end, we propose a new empirical methodology allowing a time-varying dynamic correlation measure between the stock market index and the oil price series. We use the frequency approach proposed by Priestley and Tong (1973), that is the evolutionary co-spectral analysis. This method allows us to distinguish between short-run and medium-run dependence. In order to complete our study by analysing long-run dependence, we use the cointegration procedure developed by Engle and Granger (1987). We find that interdependence between the oil price and the stock market is stronger in exporters? markets than in the importers? ones.

Anna Creti; Zied Ftiti; Khaled Guesmi

2014-01-01T23:59:59.000Z

20

Spectral compression algorithms for the analysis of very large multivariate images  

DOE Patents [OSTI]

A method for spectrally compressing data sets enables the efficient analysis of very large multivariate images. The spectral compression algorithm uses a factored representation of the data that can be obtained from Principal Components Analysis or other factorization technique. Furthermore, a block algorithm can be used for performing common operations more efficiently. An image analysis can be performed on the factored representation of the data, using only the most significant factors. The spectral compression algorithm can be combined with a spatial compression algorithm to provide further computational efficiencies.

Keenan, Michael R. (Albuquerque, NM)

2007-10-16T23:59:59.000Z

Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Statistical Analysis of EXTREMES in GEOPHYSICS  

E-Print Network [OSTI]

Statistical Analysis of EXTREMES in GEOPHYSICS Zwiers FW and Kharin VV. 1998. Changes in the extremes of the climate simulated by CCC GCM2 under CO2 dou- bling. J. Climate 11:2200­2222. http://www.ral.ucar.edu/staff/ericg/readinggroup.html #12;Outline · Some background on Extreme Value Statistics ­ Extremal Types Theorem ­ Max

Gilleland, Eric

22

Spatial compression algorithm for the analysis of very large multivariate images  

DOE Patents [OSTI]

A method for spatially compressing data sets enables the efficient analysis of very large multivariate images. The spatial compression algorithms use a wavelet transformation to map an image into a compressed image containing a smaller number of pixels that retain the original image's information content. Image analysis can then be performed on a compressed data matrix consisting of a reduced number of significant wavelet coefficients. Furthermore, a block algorithm can be used for performing common operations more efficiently. The spatial compression algorithms can be combined with spectral compression algorithms to provide further computational efficiencies.

Keenan, Michael R. (Albuquerque, NM)

2008-07-15T23:59:59.000Z

23

KINETIC ANALYSIS OF HIGH-NITROGEN ENERGETIC MATERIALS USING MULTIVARIATE NONLINEAR REGRESSION  

SciTech Connect (OSTI)

New high-nitrogen energetic materials were synthesized by Hiskey and Naud. J. Opfermann reported a new tool for finding the probable model of the complex reactions using multivariate non-linear regression analysis of DSC and TGA data from several measurements run at different heating rates. This study is to take the kinetic parameters from the different steps and discover which reaction step is responsible for the runaway reaction by comparing predicted results from the Frank-Kamenetsckii equation with the critical temperature found experimentally using the modified Henkin test.

Campbell, M. S. (Mary Stinecipher); Rabie, R. L. (Ronald L.); Diaz-Acosta, I. (Irina); Pulay, P. (Peter)

2001-01-01T23:59:59.000Z

24

Independent Statistics & Analysis Drilling Productivity Report  

U.S. Energy Information Administration (EIA) Indexed Site

Independent Statistics & Analysis Independent Statistics & Analysis Drilling Productivity Report The six regions analyzed in this report accounted for nearly 90% of domestic oil production growth and virtually all domestic natural gas production growth during 2011-12. December 2013 For key tight oil and shale gas regions U.S. Energy Information Administration Contents Year-over-year summary 2 Bakken 3 Eagle Ford 4 Haynesville 5 Marcellus 6 Niobrara 7 Permian 8 Explanatory notes 9 Sources 10 Bakken Marcellus Niobrara Haynesville Eagle Ford Permian U. S. Energy Information Administration | Drilling Productivity Report 0 400 800 1,200 1,600 2,000 Bakken Eagle Ford Haynesville

25

STATISTICAL ANALYSIS OF PROTEIN FOLDING KINETICS  

E-Print Network [OSTI]

STATISTICAL ANALYSIS OF PROTEIN FOLDING KINETICS AARON R. DINNER New Chemistry Laboratory for Protein Folding: Advances in Chemical Physics, Volume 120. Edited by Richard A. Friesner. Series Editors Experimental and theoretical studies have led to the emergence of a unified general mechanism for protein

Dinner, Aaron

26

Multivariate analysis and prediction of wind turbine response to varying wind field characteristics based on machine learning  

E-Print Network [OSTI]

Multivariate analysis and prediction of wind turbine response to varying wind field characteristics characteristics have a significant impact on the structural response and the lifespan of wind turbines. This paper presents a machine learning approach towards analyzing and predicting the response of wind turbine

Stanford University

27

Phytologia (February 2013) 95(1)42 Multivariate detection of hybridization using conifer terpenes II: Analysis of terpene inheritance  

E-Print Network [OSTI]

Phytologia (February 2013) 95(1)42 Multivariate detection of hybridization using conifer terpenes II: Analysis of terpene inheritance patterns in Pseudotsuga menziesii F1 hybrids Robert P. Adams of Pseudotsuga menziesii var. menziesii and var. glauca and their hybrids were examined and utilized to examine

Adams, Robert P.

28

Review of statistical energy analysis hypotheses in vibroacoustics  

Science Journals Connector (OSTI)

...articles 1009 1 191 177 Review of statistical energy analysis hypotheses in vibroacoustics T...rain-on-the-roof excitation, diffuse field and modal energy equipartition hypotheses when using statistical energy analysis (SEA). A first example of a simply...

2014-01-01T23:59:59.000Z

29

Statistical Hot Channel Analysis for the NBSR  

SciTech Connect (OSTI)

A statistical analysis of thermal limits has been carried out for the research reactor (NBSR) at the National Institute of Standards and Technology (NIST). The objective of this analysis was to update the uncertainties of the hot channel factors with respect to previous analysis for both high-enriched uranium (HEU) and low-enriched uranium (LEU) fuels. Although uncertainties in key parameters which enter into the analysis are not yet known for the LEU core, the current analysis uses reasonable approximations instead of conservative estimates based on HEU values. Cumulative distribution functions (CDFs) were obtained for critical heat flux ratio (CHFR), and onset of flow instability ratio (OFIR). As was done previously, the Sudo-Kaminaga correlation was used for CHF and the Saha-Zuber correlation was used for OFI. Results were obtained for probability levels of 90%, 95%, and 99.9%. As an example of the analysis, the results for both the existing reactor with HEU fuel and the LEU core show that CHFR would have to be above 1.39 to assure with 95% probability that there is no CHF. For the OFIR, the results show that the ratio should be above 1.40 to assure with a 95% probability that OFI is not reached.

Cuadra A.; Baek J.

2014-05-27T23:59:59.000Z

30

Multivariate recurrence network analysis for characterizing horizontal oil-water two-phase flow  

Science Journals Connector (OSTI)

Characterizing complex patterns arising from horizontal oil-water two-phase flows is a contemporary and challenging problem of paramount importance. We design a new multisector conductance sensor and systematically carry out horizontal oil-water two-phase flow experiments for measuring multivariate signals of different flow patterns. We then infer multivariate recurrence networks from these experimental data and investigate local cross-network properties for each constructed network. Our results demonstrate that a cross-clustering coefficient from a multivariate recurrence network is very sensitive to transitions among different flow patterns and recovers quantitative insights into the flow behavior underlying horizontal oil-water flows. These properties render multivariate recurrence networks particularly powerful for investigating a horizontal oil-water two-phase flow system and its complex interacting components from a network perspective.

Zhong-Ke Gao; Xin-Wang Zhang; Ning-De Jin; Norbert Marwan; Jürgen Kurths

2013-09-13T23:59:59.000Z

31

Seismic Attribute Analysis Using Higher Order Statistics  

E-Print Network [OSTI]

Seismic data processing depends on mathematical and statistical tools such as convolution, crosscorrelation and stack that employ second-order statistics (SOS). Seismic signals are non-Gaussian and therefore contain information beyond SOS. One...

Greenidge, Janelle Candice

2009-05-15T23:59:59.000Z

32

Understanding Manufacturing Energy Use Through Statistical Analysis  

E-Print Network [OSTI]

. The methodology uses as few as 60 data points that are relatively easy for most plants to obtain. Multivariable change- point models of electricity and natural gas use as functions of outdoor air temperature and production data are then developed... that describes average non-weather related energy use, such as electricity use for lighting and plug loads or natural gas use for cooking and domestic hot water. Tau, ? , is the base outdoor air temperature used to compute the heating or cooling degree days...

Kissock, J. K.; Seryak, J.

2004-01-01T23:59:59.000Z

33

Statistical analysis for Higgs boson searches  

Science Journals Connector (OSTI)

Statistical inference is used to translate the outcome of the searches for a Higgs boson into statements about evidence or exclusion of...

Giovanni Petrucciani

2013-01-01T23:59:59.000Z

34

Statistical Analysis of Transient Cycle Test Results in a 40...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Analysis of Transient Cycle Test Results in a 40 CFR Part 1065 Engine Dynamometer Test Cell Statistical Analysis of Transient Cycle Test Results in a 40 CFR Part 1065 Engine...

35

Framework for Statistical Analysis of Homogeneous Multicore Power Grid Networks  

E-Print Network [OSTI]

Framework for Statistical Analysis of Homogeneous Multicore Power Grid Networks Guanglei Liu the feasibility of such a framework. 1 Index Terms ­ Multicore, Power Grid Network, Statistical Analysis, Process voltage. It has become the number one concern in the design of multicore power grid network. Due

Fan, Jeffrey

36

Multivariate analysis of exhaust emissions from heavy-duty diesel fuels  

SciTech Connect (OSTI)

Particulate and gaseous exhaust emission phases from running 10 diesel fuels on two makes of heavy-duty diesel engines were analyzed with respect to 63 chemical descriptors. Measurements for one of the fuels were also made in the presence of an exhaust aftertreatment device. The variables included 28 polycyclic aromatic compounds (PAC), regulated pollutants (CO, HC, NO{sub x}, particles), and 19 other organic and inorganic exhaust emission components. Principal components analysis (PCA) was applied for the statistical exploration of the obtained data. In addition, relationships between chemical (12 variables) and physical (12 variables) parameters of the fuels to the exhaust emissions were derived using partial least squares (PLS) regression. Both PCA and PLS models were derived for the engine makes separately. The PCA showed that the most descriptive exhaust emission factors from these diesel fuels included fluoranthene as a representative of PAC, the regulated pollutants, sulfates, methylated pyrenes, and monoaromatics. Exhaust emissions were significantly decreased in the presence of an exhaust aftertreatment device. Both engine makes exhibited similar patterns of exhaust emissions. Discrepancies were observed for the exhaust emissions of CO{sub 2} and oil-derived soluble organic fractions, owing to differences in engine design. The PLS analysis showed a good correlation of exhaust emission of the regulated pollutants and PAC with the contents of PAC in the fuels and the fuel aromaticity. 41 refs., 6 figs., 6 tabs.

Sjoegren, M.; Ulf, R.; Li, H.; Westerholm, R. [Stockholm Univ. (Sweden)

1996-01-01T23:59:59.000Z

37

Statistical Power Grid Analysis by Variational Subspace Method  

Science Journals Connector (OSTI)

In this chapter, we present a novel scalable statistical simulation approach for large power grid network analysis considering process variations[92]....varETBR..., is based on the recently proposed ETBR method[9...

Ruijing Shen; Sheldon X.-D. Tan; Hao Yu

2012-01-01T23:59:59.000Z

38

Statistical Evaluation of Rough Set Dependency Analysis Ivo Dntsch1  

E-Print Network [OSTI]

Statistical Evaluation of Rough Set Dependency Analysis Ivo Düntsch1 School of Information authorship implied #12;Summary Rough set data analysis (RSDA) has recently become a frequently studied databases; it is, however, not clear from within the methods of rough set analysis, whether the extracted

Düntsch, Ivo

39

Extracting Coal Ash Content from Laser-Induced Breakdown Spectroscopy (LIBS) Spectra by Multivariate Analysis  

Science Journals Connector (OSTI)

Laser-induced breakdown spectroscopy (LIBS) combined with partial least squares (PLS) analysis has been applied for the quantitative analysis of the ash content of coal in this...

Yao, Shunchun; Lu, Jidong; Dong, Meirong; Chen, Kai; Li, Junyan; Li, Jun

2011-01-01T23:59:59.000Z

40

Multivariate analysis of spatial patterns: a unified approach to local and global structures  

E-Print Network [OSTI]

.g., principal component analysis, correspondence analysis) can then be used to detect total, local and global to write a total variance decomposition into local and global components, and to propose a unified view and the global one (with the same point of view as in Legendre, 1993), the total variability being decomposed

Thioulouse, Jean

Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Multivariate Probabilistic Analysis and Predictability of Medium-Range Ensemble Weather Forecasts  

Science Journals Connector (OSTI)

Ensemble weather forecasting has been operational for two decades now. However, the related uncertainty analysis in terms of probabilistic postprocessing still focuses on single variables, grid points, or stations. Inevitable dependencies in space ...

Jessica Keune; Christian Ohlwein; Andreas Hense

2014-11-01T23:59:59.000Z

42

Statistical Error analysis of Nucleon-Nucleon phenomenological potentials  

E-Print Network [OSTI]

Nucleon-Nucleon potentials are commonplace in nuclear physics and are determined from a finite number of experimental data with limited precision sampling the scattering process. We study the statistical assumptions implicit in the standard least squares fitting procedure and apply, along with more conventional tests, a tail sensitive quantile-quantile test as a simple and confident tool to verify the normality of residuals. We show that the fulfilment of normality tests is linked to a judicious and consistent selection of a nucleon-nucleon database. These considerations prove crucial to a proper statistical error analysis and uncertainty propagation. We illustrate these issues by analyzing about 8000 proton-proton and neutron-proton scattering published data. This enables the construction of potentials meeting all statistical requirements necessary for statistical uncertainty estimates in nuclear structure calculations.

R. Navarro Perez; J. E. Amaro; E. Ruiz Arriola

2014-06-10T23:59:59.000Z

43

Statistics  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Statistics Statistics 1 32. STATISTICS Revised April 1998 by F. James (CERN); February 2000 by R. Cousins (UCLA); October 2001, October 2003, and August 2005 by G. Cowan (RHUL). This chapter gives an overview of statistical methods used in High Energy Physics. In statistics we are interested in using a given sample of data to make inferences about a probabilistic model, e.g., to assess the model's validity or to determine the values of its parameters. There are two main approaches to statistical inference, which we may call frequentist and Bayesian. In frequentist statistics, probability is interpreted as the frequency of the outcome of a repeatable experiment. The most important tools in this framework are parameter estimation, covered in Section 32.1, and statistical tests, discussed in Section 32.2. Frequentist confidence intervals, which are constructed so as to cover the true value of

44

Multivariate Analysis of Spectral Measurements for the Characterization of Semiconductor Processes  

E-Print Network [OSTI]

simulation software, and verifying this model against experimentally measured thermal behavior in CMP. Thesis as comprehensive analysis and comparison of two innovative sensors, optical reflectance and IR thermography is shown to be useful for characterizing thermal behavior and energy flow in the CMP process. This thesis

Boning, Duane S.

45

CORRELATIVE AND MULTIVARIATE ANALYSIS OF INCREASED RADON CONCENTRATION IN UNDERGROUND LABORATORY  

Science Journals Connector (OSTI)

......regression methods for the indoor radon measurements. Nucl. Technol. Radiat. Prot. (2014) 29(1):17-23. 4 Brun R. , Rademakers F. ROOT-an object oriented data analysis framework. Nucl. Inst. Methods Phys. Res. A (1997) 389:81. 5 Hoecker......

Dimitrije M. Maleti?; Vladimir I. Udovi?i?; Radomir M. Banjanac; Dejan R. Jokovi?; Aleksandar L. Dragi?; Nikola B. Veselinovi?; Jelena Filipovi?

2014-07-01T23:59:59.000Z

46

Statistical Analysis of Protein Folding Kinetics Aaron R. Dinner  

E-Print Network [OSTI]

Statistical Analysis of Protein Folding Kinetics Aaron R. Dinner , Sung-Sau So ¡ , and Martin and theoretical studies over several years have led to the emergence of a unified general mechanism for protein folding that serves as a framework for the design and interpretation of research in this area [1

Dinner, Aaron

47

Feature-Based Statistical Analysis of Combustion Simulation Data  

SciTech Connect (OSTI)

We present a new framework for feature-based statistical analysis of large-scale scientific data and demonstrate its effectiveness by analyzing features from Direct Numerical Simulations (DNS) of turbulent combustion. Turbulent flows are ubiquitous and account for transport and mixing processes in combustion, astrophysics, fusion, and climate modeling among other disciplines. They are also characterized by coherent structure or organized motion, i.e. nonlocal entities whose geometrical features can directly impact molecular mixing and reactive processes. While traditional multi-point statistics provide correlative information, they lack nonlocal structural information, and hence, fail to provide mechanistic causality information between organized fluid motion and mixing and reactive processes. Hence, it is of great interest to capture and track flow features and their statistics together with their correlation with relevant scalar quantities, e.g. temperature or species concentrations. In our approach we encode the set of all possible flow features by pre-computing merge trees augmented with attributes, such as statistical moments of various scalar fields, e.g. temperature, as well as length-scales computed via spectral analysis. The computation is performed in an efficient streaming manner in a pre-processing step and results in a collection of meta-data that is orders of magnitude smaller than the original simulation data. This meta-data is sufficient to support a fully flexible and interactive analysis of the features, allowing for arbitrary thresholds, providing per-feature statistics, and creating various global diagnostics such as Cumulative Density Functions (CDFs), histograms, or time-series. We combine the analysis with a rendering of the features in a linked-view browser that enables scientists to interactively explore, visualize, and analyze the equivalent of one terabyte of simulation data. We highlight the utility of this new framework for combustion science; however, it is applicable to many other science domains.

Bennett, J; Krishnamoorthy, V; Liu, S; Grout, R; Hawkes, E; Chen, J; Pascucci, V; Bremer, P T

2011-11-18T23:59:59.000Z

48

Globalisation effect of productivity and quality dimensions on capacity utilisation through multivariate confirmatory analysis  

Science Journals Connector (OSTI)

Traditional productivity dimensions such as output, effectiveness and rate of utilisation are not helpful for identifying the underlying problems and opportunities for productivity and quality improvement in a textile fabrication industry. More competition and drive for profits are forcing companies to implementation of theory of constraints (TOC), total productive maintenance (TPM) and quality function deployment (QFD) have led to significant productivity improvements individual equipment particularly textile fabric industry. Keeping and viewing all declining productivity and quality dimensional aspects in mind, this paper presents logical and well structured robust framework and results were wrapped up after implementing framework in various industries. Data were received examined and analysed from various experts, field specialist and engineer for productivity and quality dimensions (PQD). An empirical analysis is used and determined fuzzy RPN on PQDs. The proposed methodology has been implemented in textile industry and results are wrapped out.

Annamalai Sivakumar; Kalliannan Saravanan; Palanisamy Navaneethakrishnan; Rathanasamy Raja Sekar

2012-01-01T23:59:59.000Z

49

Preliminary statistical analysis and provenance trends in Desmoinesian sandstones from central and eastern Oklahoma  

SciTech Connect (OSTI)

Desmoinesian sandstones from the northeast Oklahoma platform and from the Anadarko and McAlester basins record a complex interaction between mid-Pennsylvanian source-area tectonism and cyclic sedimentation patterns associated with transgressions and regressions. Framework grain summaries for 67 thin sections from sandstones of the Cherokee Group (Bartlesville, Red Fork, Skinner, and Prue) were subjected to multivariate statistical analysis to establish regional compositional trends for provenance analysis. R-mode cluster and correspondence analyses were used to determine the contributing effect (total variance) of key framework grains. Fragments of monocrystalline and polycrystalline quartz, chert, metamorphic rock, and limestone contribute most to the variation in the grain population. Q-mode cluster and correspondence analyses were used to identify three distinct petrofacies. Petrofacies I is rich in monocrystalline quartz (86 to 98%) and contains rare mica and rock fragments. Petrofacies II is also rich in monocrystalline quartz (66 to 86%) and contains as much as 15% metamorphic and sedimentary rock fragments. Petrofacies III is compositionally heterogeneous and contains fragments of polycrystalline and monocrystalline quartz, mica, chert, and metamorphic and sedimentary rocks. Quantitative analyses indicate that Desmoinesian sandstones were derived from complex sedimentary and metamorphic source areas. Petrofacies I sandstones are restricted to the southwestern part of the Anadarko basin and the northeast Oklahoma platform, whereas petrofacies II and III sandstones are distributed throughout the study area. The distribution of petrofacies within the region suggests a model of source-area interaction and cratonic sediment recycling.

Dyman, T.S.

1987-05-01T23:59:59.000Z

50

Statistical Analysis of Abnormal Electric Power Grid Behavior  

Science Journals Connector (OSTI)

Pacific Northwest National Laboratory is developing a technique to analyze Phasor Measurement Unit data to identify typical patterns, atypical events, and precursors to a blackout or other undesirable event. The technique combines data-driven multivariate ...

Thomas A. Ferryman; Brett G. Amidan

2010-01-01T23:59:59.000Z

51

Statistical Analysis of Abnormal Electric Power Grid Behavior  

SciTech Connect (OSTI)

Pacific Northwest National Laboratory is developing a technique to analyze Phasor Measurement Unit data to identify typical patterns, atypical events and precursors to a blackout or other undesirable event. The approach combines a data-driven multivariate analysis with an engineering-model approach. The method identifies atypical events, provides a plane English description of the event, and the capability to use drill-down graphics for detailed investigations. The tool can be applied to the entire grid, individual organizations (e.g. TVA, BPA), or specific substations (e.g., TVA_CUMB). The tool is envisioned for (1) event investigations, (2) overnight processing to generate a Morning Report that characterizes the previous days activity with respect to previous activity over the previous 10-30 days, and (3) potentially near-real-time operation to support the grid operators. This paper presents the current status of the tool and illustrations of its application to real world PMU data collected in three 10-day periods in 2007.

Ferryman, Thomas A.; Amidan, Brett G.

2010-10-30T23:59:59.000Z

52

Some test statistics for use in multistate survival analysis  

Science Journals Connector (OSTI)

......Semi-Markov model|Summary Kruskal-Wallis statistic|Survival data| Biometrika...Semi-Markov model; Summary Kruskal-Wallis statistic; Survival data. 1...statistic for each table is the Kruskal-Wallis statistic. This is calculated......

F. Y. HSIEH; JOHN CROWLEY; DOUGLASS C. TORMEY

1983-04-01T23:59:59.000Z

53

ATP binding to a multisubunit enzyme: statistical thermodynamics analysis  

E-Print Network [OSTI]

Due to inter-subunit communication, multisubunit enzymes usually hydrolyze ATP in a concerted fashion. However, so far the principle of this process remains poorly understood. In this study, from the viewpoint of statistical thermodynamics, a simple model is presented. In this model, we assume that the binding of ATP will change the potential of the corresponding enzyme subunit, and the degree of this change depends on the state of its adjacent subunits. The probability of enzyme in a given state satisfies the Boltzmann's distribution. Although it looks much simple, this model can fit the recent experimental data of chaperonin TRiC/CCT well. From this model, the dominant state of TRiC/CCT can be obtained. This study provided a new way to understand biophysical processes by statistical thermodynamics analysis.

Yunxin Zhang

2012-03-22T23:59:59.000Z

54

ATP binding to a multisubunit enzyme: statistical thermodynamics analysis  

E-Print Network [OSTI]

Due to inter-subunit communication, multisubunit enzymes usually hydrolyze ATP in a concerted fashion. However, so far the principle of this process remains poorly understood. In this study, from the viewpoint of statistical thermodynamics, a simple model is presented. In this model, we assume that the binding of ATP will change the potential of the corresponding enzyme subunit, and the degree of this change depends on the state of its adjacent subunits. The probability of enzyme in a given state satisfies the Boltzmann's distribution. Although it looks much simple, this model can fit the recent experimental data of chaperonin TRiC/CCT well. From this model, the dominant state of TRiC/CCT can be obtained. This study provided a new way to understand biophysical processes by statistical thermodynamics analysis.

Zhang, Yunxin

2012-01-01T23:59:59.000Z

55

Wheeler, Conrad, and Figliozzi 1 A Statistical Analysis of Bicycle Rider Performance  

E-Print Network [OSTI]

Wheeler, Conrad, and Figliozzi 1 A Statistical Analysis of Bicycle Rider Performance: The impact) A Statistical Analysis of Bicycle Rider Performance: The impact of gender on riders' performance at signalized;Wheeler, Conrad, and Figliozzi 2 A Statistical Analysis of Bicycle Rider Performance: The impact of gender

Bertini, Robert L.

56

Statistical analysis of cascading failures in power grids  

SciTech Connect (OSTI)

We introduce a new microscopic model of cascading failures in transmission power grids. This model accounts for automatic response of the grid to load fluctuations that take place on the scale of minutes, when optimum power flow adjustments and load shedding controls are unavailable. We describe extreme events, caused by load fluctuations, which cause cascading failures of loads, generators and lines. Our model is quasi-static in the causal, discrete time and sequential resolution of individual failures. The model, in its simplest realization based on the Directed Current description of the power flow problem, is tested on three standard IEEE systems consisting of 30, 39 and 118 buses. Our statistical analysis suggests a straightforward classification of cascading and islanding phases in terms of the ratios between average number of removed loads, generators and links. The analysis also demonstrates sensitivity to variations in line capacities. Future research challenges in modeling and control of cascading outages over real-world power networks are discussed.

Chertkov, Michael [Los Alamos National Laboratory; Pfitzner, Rene [Los Alamos National Laboratory; Turitsyn, Konstantin [Los Alamos National Laboratory

2010-12-01T23:59:59.000Z

57

Quantitative Analysis of Constituents in Heavy Fuel Oil by 1H Nuclear Magnetic Resonance (NMR) Spectroscopy and Multivariate Data Analysis  

Science Journals Connector (OSTI)

This applies in particular to the shipping industry. ... The fuel oil samples were collected during the bunkering of the oil in various ports around the world and sent to Lloyd’s Register’s Fuel Oil Bunker Analysis and Advisory Service (FOBAS) for detailed physicochemical characterization. ... The mixture of two incompatible fuels leads to extensive formation of solid material, with devastating effects in the case where the precipitation takes place in the engine or tank of a HFO-powered ship or power plant. ...

Katrine Ellemann Nielsen; Jens Dittmer; Anders Malmendal; Niels Chr. Nielsen

2008-11-05T23:59:59.000Z

58

Multivariate Extremes Dependence Comparison Stochastic Tail Order Back to Multivariate Extremes Dependence Comparison of Multivariate  

E-Print Network [OSTI]

Multivariate Extremes Dependence Comparison Stochastic Tail Order Back to Multivariate Extremes Dependence Comparison of Multivariate Extremes Haijun Li Department of Mathematics Washington State University IWAP12, Jerusalem Haijun Li Dependence Comparison of Multivariate Extremes IWAP12, Jerusalem 1

Li, Haijun

59

Statistical errors in the fractal analysis of flame boundaries  

SciTech Connect (OSTI)

A high speed tomographic technique is used to evaluate the effect of spatial resolution, and requirements for statistical convergence on the fractal analysis of a turbulent, premixed, stoichiometric methane/air flame at high Damkoehler number. The gas velocity at the nozzle exit is 5 m/s, the turbulence intensity is 7%, the integral length scale 3 mm and hence the turbulence Reynolds number is 70. The light source is a copper vapor laser which produces 20ns, 5 mJ pulses at a 4KHz repetition rate. Cylindrical lenses transform the 38mm circular laser beam to a sheet 50 mm high and 0.6 mm thick. A high speed Fastax camera is used to record the tomographic images formed by the scattering of light from oil droplets seeded in the reactant flow. The films are digitized and the flame front extracted from the images by a thresholding technique. Digitization noise, which appears in the fractal plots at approximately twice the pixel resolution, can obscure the inner cutoff. Simple smoothing can remove this problem if the spatial resolution is sufficient. At insufficient resolution smoothing produces plausible resolutes are produced which in fact erroneous. If the inner cutoff is ambiguous the range over which the fractal dimension is determined will be unclear. The wide distribution of fractal dimensions obtained from the individual images indicates the necessity of ensemble averaging the fractal plots if reliable statistical results are to be obtained. 8 refs., 6 figs.

Shepherd, I.G.; Cheng, R.K.

1990-10-01T23:59:59.000Z

60

Wavelet analysis in ecology and epidemiology: impact of statistical tests  

Science Journals Connector (OSTI)

...and epidemiology: impact of statistical tests Bernard Cazelles 1 2 Kevin Cazelles 1 Mario...epidemiological time series. Statistical hypothesis tests are conducted on associated wavelet quantities...illustrates the need for the adequate statistical test of the wavelet spectrum before extracting...

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
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to obtain the most current and comprehensive results.


61

Statistical Analysis of Tank 5 Floor Sample Results  

SciTech Connect (OSTI)

Sampling has been completed for the characterization of the residual material on the floor of Tank 5 in the F-Area Tank Farm at the Savannah River Site (SRS), near Aiken, SC. The sampling was performed by Savannah River Remediation (SRR) LLC using a stratified random sampling plan with volume-proportional compositing. The plan consisted of partitioning the residual material on the floor of Tank 5 into three non-overlapping strata: two strata enclosed accumulations, and a third stratum consisted of a thin layer of material outside the regions of the two accumulations. Each of three composite samples was constructed from five primary sample locations of residual material on the floor of Tank 5. Three of the primary samples were obtained from the stratum containing the thin layer of material, and one primary sample was obtained from each of the two strata containing an accumulation. This report documents the statistical analyses of the analytical results for the composite samples. The objective of the analysis is to determine the mean concentrations and upper 95% confidence (UCL95) bounds for the mean concentrations for a set of analytes in the tank residuals. The statistical procedures employed in the analyses were consistent with the Environmental Protection Agency (EPA) technical guidance by Singh and others [2010]. Savannah River National Laboratory (SRNL) measured the sample bulk density, nonvolatile beta, gross alpha, and the radionuclide1, elemental, and chemical concentrations three times for each of the composite samples. The analyte concentration data were partitioned into three separate groups for further analysis: analytes with every measurement above their minimum detectable concentrations (MDCs), analytes with no measurements above their MDCs, and analytes with a mixture of some measurement results above and below their MDCs. The means, standard deviations, and UCL95s were computed for the analytes in the two groups that had at least some measurements above their MDCs. The identification of distributions and the selection of UCL95 procedures generally followed the protocol in Singh, Armbya, and Singh [2010]. When all of an analyte's measurements lie below their MDCs, only a summary of the MDCs can be provided. The measurement results reported by SRNL are listed, and the results of this analysis are reported. The data were generally found to follow a normal distribution, and to be homogenous across composite samples.

Shine, E. P.

2013-01-31T23:59:59.000Z

62

Statistical Analysis Of Tank 5 Floor Sample Results  

SciTech Connect (OSTI)

Sampling has been completed for the characterization of the residual material on the floor of Tank 5 in the F-Area Tank Farm at the Savannah River Site (SRS), near Aiken, SC. The sampling was performed by Savannah River Remediation (SRR) LLC using a stratified random sampling plan with volume-proportional compositing. The plan consisted of partitioning the residual material on the floor of Tank 5 into three non-overlapping strata: two strata enclosed accumulations, and a third stratum consisted of a thin layer of material outside the regions of the two accumulations. Each of three composite samples was constructed from five primary sample locations of residual material on the floor of Tank 5. Three of the primary samples were obtained from the stratum containing the thin layer of material, and one primary sample was obtained from each of the two strata containing an accumulation. This report documents the statistical analyses of the analytical results for the composite samples. The objective of the analysis is to determine the mean concentrations and upper 95% confidence (UCL95) bounds for the mean concentrations for a set of analytes in the tank residuals. The statistical procedures employed in the analyses were consistent with the Environmental Protection Agency (EPA) technical guidance by Singh and others [2010]. Savannah River National Laboratory (SRNL) measured the sample bulk density, nonvolatile beta, gross alpha, and the radionuclide, elemental, and chemical concentrations three times for each of the composite samples. The analyte concentration data were partitioned into three separate groups for further analysis: analytes with every measurement above their minimum detectable concentrations (MDCs), analytes with no measurements above their MDCs, and analytes with a mixture of some measurement results above and below their MDCs. The means, standard deviations, and UCL95s were computed for the analytes in the two groups that had at least some measurements above their MDCs. The identification of distributions and the selection of UCL95 procedures generally followed the protocol in Singh, Armbya, and Singh [2010]. When all of an analyte's measurements lie below their MDCs, only a summary of the MDCs can be provided. The measurement results reported by SRNL are listed in Appendix A, and the results of this analysis are reported in Appendix B. The data were generally found to follow a normal distribution, and to be homogenous across composite samples.

Shine, E. P.

2012-08-01T23:59:59.000Z

63

STATISTICAL ANALYSIS OF TANK 5 FLOOR SAMPLE RESULTS  

SciTech Connect (OSTI)

Sampling has been completed for the characterization of the residual material on the floor of Tank 5 in the F-Area Tank Farm at the Savannah River Site (SRS), near Aiken, SC. The sampling was performed by Savannah River Remediation (SRR) LLC using a stratified random sampling plan with volume-proportional compositing. The plan consisted of partitioning the residual material on the floor of Tank 5 into three non-overlapping strata: two strata enclosed accumulations, and a third stratum consisted of a thin layer of material outside the regions of the two accumulations. Each of three composite samples was constructed from five primary sample locations of residual material on the floor of Tank 5. Three of the primary samples were obtained from the stratum containing the thin layer of material, and one primary sample was obtained from each of the two strata containing an accumulation. This report documents the statistical analyses of the analytical results for the composite samples. The objective of the analysis is to determine the mean concentrations and upper 95% confidence (UCL95) bounds for the mean concentrations for a set of analytes in the tank residuals. The statistical procedures employed in the analyses were consistent with the Environmental Protection Agency (EPA) technical guidance by Singh and others [2010]. Savannah River National Laboratory (SRNL) measured the sample bulk density, nonvolatile beta, gross alpha, radionuclide, inorganic, and anion concentrations three times for each of the composite samples. The analyte concentration data were partitioned into three separate groups for further analysis: analytes with every measurement above their minimum detectable concentrations (MDCs), analytes with no measurements above their MDCs, and analytes with a mixture of some measurement results above and below their MDCs. The means, standard deviations, and UCL95s were computed for the analytes in the two groups that had at least some measurements above their MDCs. The identification of distributions and the selection of UCL95 procedures generally followed the protocol in Singh, Armbya, and Singh [2010]. When all of an analyte's measurements lie below their MDCs, only a summary of the MDCs can be provided. The measurement results reported by SRNL are listed in Appendix A, and the results of this analysis are reported in Appendix B. The data were generally found to follow a normal distribution, and to be homogeneous across composite samples.

Shine, E.

2012-03-14T23:59:59.000Z

64

Statistical Assessment of Variability of Terminal Restriction Fragment Length Polymorphism Analysis Applied to Complex Microbial Communities  

Science Journals Connector (OSTI)

...communities. The statistical analysis was carried out at successive...batch bubble column reactor inoculated with activated...length polymorphism data analysis. Appl. Environ. Microbiol...length polymorphism analysis. Environ. Microbiol...F. Widmer. 2008. Reliability for detecting composition...

Pierre Rossi; François Gillet; Emmanuelle Rohrbach; Nouhou Diaby; Christof Holliger

2009-09-11T23:59:59.000Z

65

{chi}{sup 2} versus median statistics in supernova type Ia data analysis  

SciTech Connect (OSTI)

In this paper we compare the performances of the {chi}{sup 2} and median likelihood analysis in the determination of cosmological constraints using type Ia supernovae data. We perform a statistical analysis using the 307 supernovae of the Union 2 compilation of the Supernova Cosmology Project and find that the {chi}{sup 2} statistical analysis yields tighter cosmological constraints than the median statistic if only supernovae data is taken into account. We also show that when additional measurements from the cosmic microwave background and baryonic acoustic oscillations are considered, the combined cosmological constraints are not strongly dependent on whether one applies the {chi}{sup 2} statistic or the median statistic to the supernovae data. This indicates that, when complementary information from other cosmological probes is taken into account, the performances of the {chi}{sup 2} and median statistics are very similar, demonstrating the robustness of the statistical analysis.

Barreira, A. [Centro de Fisica do Porto, Rua do Campo Alegre 687, 4169-007 Porto (Portugal); Departamento de Fisica da Faculdade de Ciencias da Universidade do Porto, Rua do Campo Alegre 687, 4169-007 Porto (Portugal); Avelino, P. P. [Departamento de Fisica da Faculdade de Ciencias da Universidade do Porto, Rua do Campo Alegre 687, 4169-007 Porto (Portugal); Centro de Astrofisica da Universidade do Porto, Rua das Estrelas, 4150-762 Porto (Portugal)

2011-10-15T23:59:59.000Z

66

Signal Probability Based Statistical Timing Analysis University of California, San Diego  

E-Print Network [OSTI]

Signal Probability Based Statistical Timing Analysis Bao Liu University of California, San Diego propose sig- nal probability (i.e., the logic one occurrence probability on a net) based statistical estimation tech- niques are categorized as (1) static, (2) statistical, and (3) simulation and testing based

Liu, Bao

67

Submitted to Environmental and Ecological Statistics A Methodology for Assessing Departure of Current Plant Communities from Historical  

E-Print Network [OSTI]

Submitted to Environmental and Ecological Statistics 1 A Methodology for Assessing Departure to Environmental and Ecological Statistics 2 Keywords multivariate statistical analysis, outliers, principal.fireplan.gov) for reducing fire hazard and restoring forest health. Through this vehicle, the Departments of Agriculture

Steele, Brian

68

Canadian National Energy Use Database: Statistics and Analysis | Open  

Open Energy Info (EERE)

Canadian National Energy Use Database: Statistics and Analysis Canadian National Energy Use Database: Statistics and Analysis Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Canadian National Energy Use Database: Statistics and Analysis Focus Area: Energy Efficiency Topics: Potentials & Scenarios Website: oee.nrcan.gc.ca/corporate/statistics/neud/dpa/home.cfm?attr=24 Equivalent URI: cleanenergysolutions.org/content/canadian-national-energy-use-database Language: "English,French" is not in the list of possible values (Abkhazian, Achinese, Acoli, Adangme, Adyghe; Adygei, Afar, Afrihili, Afrikaans, Afro-Asiatic languages, Ainu, Akan, Akkadian, Albanian, Aleut, Algonquian languages, Altaic languages, Amharic, Angika, Apache languages, Arabic, Aragonese, Arapaho, Arawak, Armenian, Aromanian; Arumanian; Macedo-Romanian, Artificial languages, Assamese, Asturian; Bable; Leonese; Asturleonese, Athapascan languages, Australian languages, Austronesian languages, Avaric, Avestan, Awadhi, Aymara, Azerbaijani, Balinese, Baltic languages, Baluchi, Bambara, Bamileke languages, Banda languages, Bantu (Other), Basa, Bashkir, Basque, Batak languages, Beja; Bedawiyet, Belarusian, Bemba, Bengali, Berber languages, Bhojpuri, Bihari languages, Bikol, Bini; Edo, Bislama, Blin; Bilin, Blissymbols; Blissymbolics; Bliss, Bosnian, Braj, Breton, Buginese, Bulgarian, Buriat, Burmese, Caddo, Catalan; Valencian, Caucasian languages, Cebuano, Celtic languages, Central American Indian languages, Central Khmer, Chagatai, Chamic languages, Chamorro, Chechen, Cherokee, Cheyenne, Chibcha, Chichewa; Chewa; Nyanja, Chinese, Chinook jargon, Chipewyan; Dene Suline, Choctaw, Chuukese, Chuvash, Classical Newari; Old Newari; Classical Nepal Bhasa, Classical Syriac, Coptic, Cornish, Corsican, Cree, Creek, Creoles and pidgins , Crimean Tatar; Crimean Turkish, Croatian, Cushitic languages, Czech, Dakota, Danish, Dargwa, Delaware, Dinka, Divehi; Dhivehi; Maldivian, Dogri, Dogrib, Dravidian languages, Duala, Dutch; Flemish, Dyula, Dzongkha, Eastern Frisian, Efik, Egyptian (Ancient), Ekajuk, Elamite, English, Erzya, Esperanto, Estonian, Ewe, Ewondo, Fang, Fanti, Faroese, Fijian, Filipino; Pilipino, Finnish, Finno-Ugrian languages, Fon, French, Friulian, Fulah, Ga, Gaelic; Scottish Gaelic, Galibi Carib, Galician, Ganda, Gayo, Gbaya, Geez, Georgian, German, Germanic languages, Gilbertese, Gondi, Gorontalo, Gothic, Grebo, Greek, Modern, Guarani, Gujarati, Gwich'in, Haida, Haitian; Haitian Creole, Hausa, Hawaiian, Hebrew, Herero, Hiligaynon, Himachali languages; Western Pahari languages, Hindi, Hiri Motu, Hittite, Hmong; Mong, Hungarian, Hupa, Iban, Icelandic, Ido, Igbo, Ijo languages, Iloko, Inari Sami, Indic languages, Indo-European languages, Indonesian, Ingush, Interlingue; Occidental, Inuktitut, Inupiaq, Iranian languages, Irish, Iroquoian languages, Italian, Japanese, Javanese, Judeo-Arabic, Judeo-Persian, Kabardian, Kabyle, Kachin; Jingpho, Kalaallisut; Greenlandic, Kalmyk; Oirat, Kamba, Kannada, Kanuri, Kara-Kalpak, Karachay-Balkar, Karelian, Karen languages, Kashmiri, Kashubian, Kawi, Kazakh, Khasi, Khoisan languages, Khotanese; Sakan, Kikuyu; Gikuyu, Kimbundu, Kinyarwanda, Kirghiz; Kyrgyz, Klingon; tlhIngan-Hol, Komi, Kongo, Konkani, Korean, Kosraean, Kpelle, Kru languages, Kuanyama; Kwanyama, Kumyk, Kurdish, Kurukh, Kutenai, Ladino, Lahnda, Lamba, Land Dayak languages, Lao, Latin, Latvian, Lezghian, Limburgan; Limburger; Limburgish, Lingala, Lithuanian, Lojban, Lower Sorbian, Lozi, Luba-Katanga, Luba-Lulua, Luiseno, Lule Sami, Lunda, Luo (Kenya and Tanzania), Lushai, Luxembourgish; Letzeburgesch, Macedonian, Madurese, Magahi, Maithili, Makasar, Malagasy, Malay, Malayalam, Maltese, Manchu, Mandar, Mandingo, Manipuri, Manobo languages, Manx, Maori, Mapudungun; Mapuche, Marathi, Mari, Marshallese, Marwari, Masai, Mayan languages, Mende, Mi'kmaq; Micmac, Minangkabau, Mirandese, Mohawk, Moksha, Mon-Khmer languages, Mongo, Mongolian, Mossi, Multiple languages, Munda languages, N'Ko, Nahuatl languages, Nauru, Navajo; Navaho, Ndebele, North; North Ndebele, Ndebele, South; South Ndebele, Ndonga, Neapolitan, Nepal Bhasa; Newari, Nepali, Nias, Niger-Kordofanian languages, Nilo-Saharan languages, Niuean, North American Indian languages, Northern Frisian, Northern Sami, Norwegian, Nubian languages, Nyamwezi, Nyankole, Nyoro, Nzima, Occitan (post 1500); Provençal, Ojibwa, Oriya, Oromo, Osage, Ossetian; Ossetic, Otomian languages, Pahlavi, Palauan, Pali, Pampanga; Kapampangan, Pangasinan, Panjabi; Punjabi, Papiamento, Papuan languages, Pedi; Sepedi; Northern Sotho, Persian, Philippine languages, Phoenician, Pohnpeian, Polish, Portuguese, Prakrit languages, Pushto; Pashto, Quechua, Rajasthani, Rapanui, Rarotongan; Cook Islands Maori, Romance languages, Romanian; Moldavian; Moldovan, Romansh, Romany, Rundi, Russian, Salishan languages, Samaritan Aramaic, Sami languages, Samoan, Sandawe, Sango, Sanskrit, Santali, Sardinian, Sasak, Scots, Selkup, Semitic languages, Serbian, Serer, Shan, Shona, Sichuan Yi; Nuosu, Sicilian, Sidamo, Sign Languages, Siksika, Sindhi, Sinhala; Sinhalese, Sino-Tibetan languages, Siouan languages, Skolt Sami, Slave (Athapascan), Slavic languages, Slovak, Slovenian, Sogdian, Somali, Songhai languages, Soninke, Sorbian languages, Sotho, Southern, South American Indian (Other), Southern Altai, Southern Sami, Spanish; Castilian, Sranan Tongo, Sukuma, Sumerian, Sundanese, Susu, Swahili, Swati, Swedish, Swiss German; Alemannic; Alsatian, Syriac, Tagalog, Tahitian, Tai languages, Tajik, Tamashek, Tamil, Tatar, Telugu, Tereno, Tetum, Thai, Tibetan, Tigre, Tigrinya, Timne, Tiv, Tlingit, Tok Pisin, Tokelau, Tonga (Nyasa), Tonga (Tonga Islands), Tsimshian, Tsonga, Tswana, Tumbuka, Tupi languages, Turkish, Turkmen, Tuvalu, Tuvinian, Twi, Udmurt, Ugaritic, Uighur; Uyghur, Ukrainian, Umbundu, Uncoded languages, Undetermined, Upper Sorbian, Urdu, Uzbek, Vai, Venda, Vietnamese, Volapük, Votic, Wakashan languages, Walamo, Walloon, Waray, Washo, Welsh, Western Frisian, Wolof, Xhosa, Yakut, Yao, Yapese, Yiddish, Yoruba, Yupik languages, Zande languages, Zapotec, Zaza; Dimili; Dimli; Kirdki; Kirmanjki; Zazaki, Zenaga, Zhuang; Chuang, Zulu, Zuni) for this property.

69

Detection of Mammalian Virulence Determinants in Highly Pathogenic Avian Influenza H5N1 Viruses: Multivariate Analysis of Published Data  

Science Journals Connector (OSTI)

...Kong 1997 outbreak isolates...statistical model to describe...the NCBI Flu database...Hence, the model and wider...Hong Kong outbreak has reemerged...2005. Avian flu H5N1 virus outbreak in migratory...graphical models. Science...

S. J. Lycett; M. J. Ward; F. I. Lewis; A. F. Y. Poon; S. L. Kosakovsky Pond; A. J. Leigh Brown

2009-07-22T23:59:59.000Z

70

Robust Retrospective Multiple Change-point for Multivariate Data  

E-Print Network [OSTI]

on a test statistic that generalizes the well- known Kruskal-Wallis procedure to the multivariate setting noise levels and/or high-dimensional data. Keywords: Change-point estimation, multivariate data, Kruskal-Wallis as to deal with multiple change-points (in analogy with the way the classical Kruskal-Wallis test generalizes

Paris-Sud XI, Université de

71

Thermal hydraulic limits analysis using statistical propagation of parametric uncertainties  

SciTech Connect (OSTI)

The MIT Research Reactor (MITR) is evaluating the conversion from highly enriched uranium (HEU) to low enrichment uranium (LEU) fuel. In addition to the fuel element re-design, a reactor power upgraded from 6 MW to 7 MW is proposed in order to maintain the same reactor performance of the HEU core. Previous approach in analyzing the impact of engineering uncertainties on thermal hydraulic limits via the use of engineering hot channel factors (EHCFs) was unable to explicitly quantify the uncertainty and confidence level in reactor parameters. The objective of this study is to develop a methodology for MITR thermal hydraulic limits analysis by statistically combining engineering uncertainties with an aim to eliminate unnecessary conservatism inherent in traditional analyses. This method was employed to analyze the Limiting Safety System Settings (LSSS) for the MITR, which is the avoidance of the onset of nucleate boiling (ONB). Key parameters, such as coolant channel tolerances and heat transfer coefficients, were considered as normal distributions using Oracle Crystal Ball to calculate ONB. The LSSS power is determined with 99.7% confidence level. The LSSS power calculated using this new methodology is 9.1 MW, based on core outlet coolant temperature of 60 deg. C, and primary coolant flow rate of 1800 gpm, compared to 8.3 MW obtained from the analytical method using the EHCFs with same operating conditions. The same methodology was also used to calculate the safety limit (SL) for the MITR, conservatively determined using onset of flow instability (OFI) as the criterion, to verify that adequate safety margin exists between LSSS and SL. The calculated SL is 10.6 MW, which is 1.5 MW higher than LSSS. (authors)

Chiang, K. Y. [Nuclear Science and Engineering Dept., Massachusetts Inst. of Technology, 77 Massachusetts Ave, Cambridge, MA 02139 (United States); Hu, L. W. [Nuclear Reactor Laboratory, Massachusetts Inst. of Technology, Cambridge, MA 02139 (United States); Forget, B. [Nuclear Science and Engineering Dept., Massachusetts Inst. of Technology, 77 Massachusetts Ave, Cambridge, MA 02139 (United States)

2012-07-01T23:59:59.000Z

72

A model of the statistical power of comparative genome sequence analysis  

E-Print Network [OSTI]

A model of the statistical power of comparative genome sequence analysis Sean R. Eddy Howard Hughes genome sequence analysis is powerful, but sequencing genomes is expensive. It is desirable to be able to predict how many genomes are needed to achieve a particular statistical power in comparative analyses

Eddy, Sean

73

Comparison of Statistical Analysis Plans in Randomize-All Phase III Trials with a Predictive Biomarker  

Science Journals Connector (OSTI)

...statistical analysis plans in randomize-all phase...case where established standard treatments are already...generally advisable to plan for randomize-all phase...T. Nonaka Writing, review, and/or revision of...statistical analysis plans for randomize-all phase...

Shigeyuki Matsui; Yuki Choai; and Takahiro Nonaka

2014-06-01T23:59:59.000Z

74

Color face recognition based on statistically orthogonal analysis of projection transforms  

Science Journals Connector (OSTI)

In this paper, we propose a novel color face feature extraction approach named statistically orthogonal analysis (SOA). It in turn calculates the projection transforms of the red, green and blue color component image sets by using the Fisher criterion, ... Keywords: color face recognition, feature extraction, projection transform, statistically orthogonal analysis (SOA)

Jiangyue Man; Xiaoyuan Jing; Qian Liu; Yongfang Yao; Kun Li; Jingyu Yang

2011-12-01T23:59:59.000Z

75

STAMP: statistical analysis of taxonomic and functional profiles  

Science Journals Connector (OSTI)

......White et al., 2009) are provided for comparing profiles organized into two groups. STAMP implements the ANOVA and Kruskal-Wallis H-test for comparing three or more groups of profiles. Statistically significant features can be further examined......

Donovan H. Parks; Gene W. Tyson; Philip Hugenholtz; Robert G. Beiko

2014-11-01T23:59:59.000Z

76

Application of statistical learning theory to plankton image analysis  

E-Print Network [OSTI]

A fundamental problem in limnology and oceanography is the inability to quickly identify and map distributions of plankton. This thesis addresses the problem by applying statistical machine learning to video images collected ...

Hu, Qiao, Ph. D. Massachusetts Institute of Technology

2006-01-01T23:59:59.000Z

77

STAMP: statistical analysis of taxonomic and functional profiles  

Science Journals Connector (OSTI)

......package that provides statistical hypothesis tests and exploratory plots for analysing taxonomic and functional profiles. It supports tests for comparing pairs of samples or samples...assessment of the biological relevancy of test results. A user-friendly graphical interface......

Donovan H. Parks; Gene W. Tyson; Philip Hugenholtz; Robert G. Beiko

2014-11-01T23:59:59.000Z

78

Combining multivariate analysis and monosaccharide composition modeling to identify plant cell wall variations by Fourier Transform Near Infrared spectroscopy.  

E-Print Network [OSTI]

19. Wetzel DL: Near-infrared reflectance analysis - sleepertreatments of raw near-infrared signal in the measurement ofusing transmittance near-infrared spectroscopy. J Agric Food

2011-01-01T23:59:59.000Z

79

Combining multivariate analysis and monosaccharide composition modeling to identify plant cell wall variations by Fourier Transform Near Infrared spectroscopy  

E-Print Network [OSTI]

19. Wetzel DL: Near-infrared reflectance analysis - sleepertreatments of raw near-infrared signal in the measurement ofusing transmittance near-infrared spectroscopy. J Agric Food

2011-01-01T23:59:59.000Z

80

A SASR macro for the multivariate extension of the Kruskal-Wallis test including multiple comparisons: Randomization and ?2 criteria  

Science Journals Connector (OSTI)

In a multi-group experimental design where interest is in a univariate response, the nonparametric Kruskal-Wallis test [Kruskal and Wallis (1952)] provides a potentially more powerful alternative to the parametric one-way analysis of variance when the assumptions of normality are in question. For multivariate response, Puri and Sen (1966) proposed a generalization of the Kruskal-Wallis test that is a nonparametric analog of the one-way multivariate analysis of variance and can be used when multivariate response data are measured on at least an ordinal scale. Large sample theory suggests that the multivariate Kruskal-Wallis statistic is approximately distributed as chi-square, but in small samples the behavior of the statistic warrants conditioning on the observed data and using randomization theory to tabulate the exact distribution. We have written a SAS [SAS Institute, Inc. (1985)] macro that computes the probability values and tabulates the exact distribution for the univariate and multivariate Kruskal-Wallis test that will be useful to applied statisticians.

Warren L. May; William D. Johnson

1997-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Statistical Inference for Exploratory Data Analysis and Model Diagnostics  

E-Print Network [OSTI]

Wharton School, University of Pennsylvania, 2 Iowa State University, 3 Fred Hutchinson Cancer Research thinking. Keywords: permutation tests, rotation tests, statistical graphics, visual data mining, simulation analytic activities that rely primarily on visual displays and only secondarily on numeric summaries. EDA

Buja, Andreas

82

Sequential Logistic Principal Component Analysis (SLPCA): Dimensional Reduction in Streaming Multivariate Binary-State System  

E-Print Network [OSTI]

Sequential Logistic Principal Component Analysis (SLPCA):variables, which is called Logistic PCA (LPCA). We extendPCA can be viewed as Logistic PCA (LPCA). In this work, we

Kang, Zhaoyi; Spanos, Costas J

2014-01-01T23:59:59.000Z

83

A Statistical Framework for the Functional Analysis of Metagenomes  

SciTech Connect (OSTI)

Metagenomic studies consider the genetic makeup of microbial communities as a whole, rather than their individual member organisms. The functional and metabolic potential of microbial communities can be analyzed by comparing the relative abundance of gene families in their collective genomic sequences (metagenome) under different conditions. Such comparisons require accurate estimation of gene family frequencies. They present a statistical framework for assessing these frequencies based on the Lander-Waterman theory developed originally for Whole Genome Shotgun (WGS) sequencing projects. They also provide a novel method for assessing the reliability of the estimations which can be used for removing seemingly unreliable measurements. They tested their method on a wide range of datasets, including simulated genomes and real WGS data from sequencing projects of whole genomes. Results suggest that their framework corrects inherent biases in accepted methods and provides a good approximation to the true statistics of gene families in WGS projects.

Sharon, Itai; Pati, Amrita; Markowitz, Victor; Pinter, Ron Y.

2008-10-01T23:59:59.000Z

84

An Integrated Display and Analysis Methodology for Multivariable Radar Data BRENDA A. DOLAN AND STEVEN A. RUTLEDGE  

E-Print Network [OSTI]

products such as bulk hydrometeor identification and Doppler-derived winds to be viewed in real time-depth analysis using radar products, such as Doppler-derived wind vectors and hydrometeor identification, has identification, and rainfall rate. The software was successfully tested during the summers of 2004 and 2005

Rutledge, Steven

85

Defect site prediction based upon statistical analysis of fault signatures  

E-Print Network [OSTI]

Good failure analysis is the ability to determine the site of a circuit defect quickly and accurately. We propose a method for defect site prediction that is based on a site's probability of excitation, making no assumptions about the type...

Trinka, Michael Robert

2004-09-30T23:59:59.000Z

86

A Statistics-Based Method For The Short-Wave Infrared Spectral Analysis Of  

Open Energy Info (EERE)

Statistics-Based Method For The Short-Wave Infrared Spectral Analysis Of Statistics-Based Method For The Short-Wave Infrared Spectral Analysis Of Altered Rocks- An Example From The Acoculco Caldera, Eastern Trans-Mexican Volcanic Belt Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: A Statistics-Based Method For The Short-Wave Infrared Spectral Analysis Of Altered Rocks- An Example From The Acoculco Caldera, Eastern Trans-Mexican Volcanic Belt Details Activities (0) Areas (0) Regions (0) Abstract: We propose a simple graphic and statistical method for processing short-wave infrared (SWIR) reflectivity spectra of alteration minerals, which classifies spectra according to their shape and absorption features, thus obtaining groups of spectra equivalent to mineral assemblages. It also permits selection of fewer samples for further mineralogical verification.

87

A Model of the Statistical Power of Comparative Genome Sequence Analysis  

E-Print Network [OSTI]

A Model of the Statistical Power of Comparative Genome Sequence Analysis Sean R. Eddy Howard Hughes, Missouri, United States of America Comparative genome sequence analysis is powerful, but sequencing genomes is expensive. It is desirable to be able to predict how many genomes are needed for comparative genomics

Eddy, Sean

88

Statistical Analysis of Power Grid Networks Considering Lognormal Leakage Current Variations  

E-Print Network [OSTI]

1 Statistical Analysis of Power Grid Networks Considering Lognormal Leakage Current Variations drop variations of on-chip power grid networks, considering log-normal leakage current variations of random processes. Different from the existing Hermite PC based method for power grid analysis, which

Fan, Jeffrey

89

Statistical Analysis of Spatial Point Patterns on Deep Seismic Reflection Data: A Preliminary Test  

E-Print Network [OSTI]

Statistical Analysis of Spatial Point Patterns on Deep Seismic Reflection Data: A Preliminary Test analysis may provide a new tool for analysing spatial variations in reflection data. Key Words: Deep The purpose of this paper is to present spatial point pattern analyses of seismic reflection data in an effort

Schmidt, Volker

90

Statistical techniques applied to aerial radiometric surveys (STAARS): principal components analysis user's manual. [NURE program  

SciTech Connect (OSTI)

A Principal Components Analysis (PCA) has been written to aid in the interpretation of multivariate aerial radiometric data collected by the US Department of Energy (DOE) under the National Uranium Resource Evaluation (NURE) program. The variations exhibited by these data have been reduced and classified into a number of linear combinations by using the PCA program. The PCA program then generates histograms and outlier maps of the individual variates. Black and white plots can be made on a Calcomp plotter by the application of follow-up programs. All programs referred to in this guide were written for a DEC-10. From this analysis a geologist may begin to interpret the data structure. Insight into geological processes underlying the data may be obtained.

Koch, C.D.; Pirkle, F.L.; Schmidt, J.S.

1981-01-01T23:59:59.000Z

91

Macdonald Polynomials and Multivariable Basic Hypergeometric Series  

E-Print Network [OSTI]

We study Macdonald polynomials from a basic hypergeometric series point of view. In particular, we show that the Pieri formula for Macdonald polynomials and its recently discovered inverse, a recursion formula for Macdonald polynomials, both represent multivariable extensions of the terminating very-well-poised 6-phi-5 summation formula. We derive several new related identities including multivariate extensions of Jackson's very-well-poised 8-phi-7 summation. Motivated by our basic hypergeometric analysis, we propose an extension of Macdonald polynomials to Macdonald symmetric functions indexed by partitions with complex parts. These appear to possess nice properties.

Michael J. Schlosser

2007-03-30T23:59:59.000Z

92

A Statistical Analysis Of Bottom-Hole Temperature Data In The Hinton Area  

Open Energy Info (EERE)

A Statistical Analysis Of Bottom-Hole Temperature Data In The Hinton Area A Statistical Analysis Of Bottom-Hole Temperature Data In The Hinton Area Of West-Central Alberta Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: A Statistical Analysis Of Bottom-Hole Temperature Data In The Hinton Area Of West-Central Alberta Details Activities (0) Areas (0) Regions (0) Abstract: Considerable differences in the spread of bottom-hole temperature values from petroleum exploration well logs plotted as a function of depth are observed over a region of west-central Alberta. The spatial variation of the spread is investigated, and it is found to be greater toward the Rocky Mountain disturbed belt in the west. The spatial variation there does not seem to correspond directly to local topography, and may be partly due

93

Statistics of Extremes in Oil Spill Risk Analysis  

Science Journals Connector (OSTI)

The results of this study are very useful for oil spill risk assessment, contingency planning, and environmental impact statements on oil exploration, development, and production. ... Catastrophic oil spills, which are defined in this study as oil spills of over 1 MMbbl in volume, are rare events with potentially very high costs for society and the environment. ... To study the sensitivity of the modeled GEV distribution to parameters and observational data, three cases are investigated and compared: (1) DWH case (this is the benchmark case with 49 years of oil spill records from 1964 to 2012, including the DWH spill; the results are already presented in Figures 2–4), (2) no DWH case (this is the case of assuming that DWH did not happen in 2010, and the second largest spill in 2010, which is 123 bbl, is used in the analysis), and (3) 10 MMbbl case (this is the case of assuming that a spill of 10 MMbbl happened in 2013, and there are a total of 50 annual maxima from 1964 to 2013). ...

Zhen-Gang Ji; Walter R. Johnson; Geoffrey L. Wikel

2014-08-09T23:59:59.000Z

94

AIAA-2003-0867 STATISTICAL ANALYSIS OF INFLOW AND STRUCTURAL RESPONSE DATA  

E-Print Network [OSTI]

AIAA-2003-0867 1 STATISTICAL ANALYSIS OF INFLOW AND STRUCTURAL RESPONSE DATA FROM THE LIST PROGRAM, University of Texas at Austin, Austin, TX 78712 2 Wind Energy Technology Department, Sandia National is gathering inflow and structural response data on a modified version of the Micon 65/13 wind turbine

Manuel, Lance

95

Transient Analysis of Data Traffic in Cognitive Radio Networks: A Non-equilibrium Statistical  

E-Print Network [OSTI]

efficiency of spectrum utilization. In cognitive radio systems, a secondary user (without license) can access a licensed spectrum channel if there is no primary user (with license) transmitting over this channel. When1 Transient Analysis of Data Traffic in Cognitive Radio Networks: A Non-equilibrium Statistical

Li, Husheng

96

Video Traffic Analysis of H.264/AVC and Extensions: Single-Layer Statistics  

E-Print Network [OSTI]

1 Video Traffic Analysis of H.264/AVC and Extensions: Single-Layer Statistics Geert Van der Auwera and Prasanth T. David and Martin Reisslein I. INTRODUCTION We examine the video traffic generated by the H.264/MPEG­4 Advanced Video Coding (H.264/AVC for brevity) standard [1], also known as H.264/MPEG-4 Part 10

Reisslein, Martin

97

ECOGRAPHY 25: 553557, 2002 Integrating the statistical analysis of spatial data in ecology  

E-Print Network [OSTI]

ECOGRAPHY 25: 553­557, 2002 Integrating the statistical analysis of spatial data in ecology A. M of spatial data in ecology. ­ Ecography 25: 553­557. In many areas of ecology there is an increasing emphasis on spatial relationships. Often ecologists are interested in new ways of analyzing data with the objective

Liebhold, Andrew

98

Statistical analysis of wind energy in Chile David Watts a,b,*, Danilo Jara a  

E-Print Network [OSTI]

Data Bank Statistical analysis of wind energy in Chile David Watts a,b,*, Danilo Jara December 2010 Keywords: Wind Wind speed Energy Capacity factor Electricity Chile a b s t r a c t Bearing role in any future national energy generation matrix. With a view to understanding the local wind

Catholic University of Chile (Universidad Católica de Chile)

99

The development and implementation of an interactive microcomputer package for the statistical analysis of industrial experiments  

E-Print Network [OSTI]

. However, the scope of potential applications is relatively narrow, since the program can not be used to investigate the effects of multiple factors in general factorial experiments. 2. Watchtel s Analysis of Variance Code f 2] This program conducts a... of menu- driven quality control statistical templates for Lotus 1-2- 3. The templates include control charts, ANOVA, regression, curve fitting, chi-square tests, t-tests, and F significance tests' No methodologies are included for the analysis...

Patel, D. D

2012-06-07T23:59:59.000Z

100

Development of Statistical Energy Analysis Tools for Toyota Motor Engineering & Manufacturing  

E-Print Network [OSTI]

Development of Statistical Energy Analysis Tools for Toyota Motor Engineering & Manufacturing Duke University | Bass Connections in Energy IETC | May 21, 2014 Jason Chen, Robert Collins, Gary Gao, Daniel Schaffer, Jill Wu ESL-IE-14...-05-06 Proceedings of the Thrity-Sixth Industrial Energy Technology Conference New Orleans, LA. May 20-23, 2014 Presentation Agenda ? Project introduction and goals ? Duke team’s energy consumption models ? Analysis of Toyota’s current consumption model ? Duke vs...

Chen, J; Collins, Ro.; Gao, G.; Schaffer, D.; Wu, J.

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

A cross-national analysis of eHealth in the European Union: Some policy and research directions  

Science Journals Connector (OSTI)

This study analyzes the relationship among eHealth profiles across 27 European Union Member States. It builds on prior research that uses multivariate statistical methods to provide a cross-country analysis on two dimensions: ICT penetration and availability ...

Wendy L. Currie, Jonathan J. M. Seddon

2014-09-01T23:59:59.000Z

102

Statistical simulation procedures  

E-Print Network [OSTI]

. Ringer This thesis investicates methods for estimating statistical distribution functions which cannot be easily solved by theoretical techniques. The stratified Ilonte Carlo procedure of Ringer and Suharto [11j is extended to the multivariate case... and applied to two probIems, one practical, the other theoretical. This procedure Is shown to be more precise than simple Monte Carlo simula- t. i on. numerical method proposed by Soserville [12j is also extended to the multivariate case, and compared...

Tremelling, Robert Norman

2012-06-07T23:59:59.000Z

103

A Multivariate Moving Average Control Chart for Photovoltaic Processes  

E-Print Network [OSTI]

Abstract—For the electrical metrics that describe photovoltaic cell performance are inherently multivariate in nature, use of a univariate, or one variable, statistical process control chart can have important limitations. Development of a comprehensive process control strategy is known to be significantly beneficial to reducing process variability that ultimately drives up the manufacturing cost photovoltaic cells. The multivariate moving average or MMA chart, is applied to the electrical metrics of photovoltaic cells to illustrate the improved sensitivity on process variability this method of control charting offers. The result show the ability of the MMA chart to expand to as any variables as needed, suggests an application with multiple photovoltaic electrical metrics being used in concert to determine the processes state of control. Keywords—The multivariate moving average control chart, Photovoltaic processes control, Multivariate system. I.

Chunchom Pongchavalit

104

Bayesian statistics applied to neutron activation data for reactor flux spectrum analysis  

Science Journals Connector (OSTI)

Abstract In this paper, we present a statistical method, based on Bayesian statistics, to analyze the neutron flux spectrum from the activation data of different isotopes. The experimental data were acquired during a neutron activation experiment performed at the TRIGA Mark II reactor of Pavia University (Italy) in four irradiation positions characterized by different neutron spectra. In order to evaluate the neutron flux spectrum, subdivided in energy groups, a system of linear equations, containing the group effective cross sections and the activation rate data, has to be solved. However, since the system’s coefficients are experimental data affected by uncertainties, a rigorous statistical approach is fundamental for an accurate evaluation of the neutron flux groups. For this purpose, we applied the Bayesian statistical analysis, that allows to include the uncertainties of the coefficients and the a priori information about the neutron flux. A program for the analysis of Bayesian hierarchical models, based on Markov Chain Monte Carlo (MCMC) simulations, was used to define the problem statistical model and solve it. The first analysis involved the determination of the thermal, resonance-intermediate and fast flux components and the dependence of the results on the Prior distribution choice was investigated to confirm the reliability of the Bayesian analysis. After that, the main resonances of the activation cross sections were analyzed to implement multi-group models with finer energy subdivisions that would allow to determine the neutron flux groups, their uncertainties and correlations with good accuracy. The results were then compared with the ones obtained from the Monte Carlo simulations of the reactor fluxes performed with the MCNP code, finding in general a good agreement.

Davide Chiesa; Ezio Previtali; Monica Sisti

2014-01-01T23:59:59.000Z

105

Delineation of Estuarine Management Areas Using Multivariate Geostatistics:? The Case of Sado Estuary  

Science Journals Connector (OSTI)

IMAR, Department of Exact and Technological Sciences of the Portuguese Distance Learning University, R. Escola Politecnica 147, 1269-001 Lisbon, Portugal, Biomedware, Inc., 516 North State Street, Ann Arbor, Michigan 48104-1236, ISEGI/CEGI, Institute for Statistics and Information Management of the New University of Lisbon, 1070-124 Lisbon, Portugal, and IMAR, Faculty of Science and Technology of the New University of Lisbon, 2829-516 Caparica, Portugal ... Estuarine manage ment areas were delineated using three different approaches that combine geostatistical prediction and multivariate statistical analysis (see Figure 1): ... Method 3. A hybrid approach that combines the discriminant analysis of method 2 with the indicator kriging used in method 1. ...

Sandra Caeiro; Pierre Goovaerts; Marco Painho; M. Helena Costa

2003-08-14T23:59:59.000Z

106

Modular multivariable control improves hydrocracking  

SciTech Connect (OSTI)

Modular multivariable control (MMC), a system of interconnected, single process variable controllers, can be a user-friendly, reliable and cost-effective alternative to centralized, large-scale multivariable control packages. MMC properties and features derive directly from the properties of the coordinated controller which, in turn, is based on internal model control technology. MMC was applied to a hydrocracking unit involving two process variables and three controller outputs. The paper describes modular multivariable control, MMC properties, tuning considerations, application at the DCS level, constraints handling, and process application and results.

Chia, T.L.; Lefkowitz, I. [ControlSoft, Inc., Cleveland, OH (United States); Tamas, P.D. [Marathon Oil Co., Robinson, IL (United States)

1996-10-01T23:59:59.000Z

107

Multivariable analysis of the effects of Li, H{sub 2}, and pH on PWR primary water stress corrosion cracking. Final report  

SciTech Connect (OSTI)

The effects of Li, pH and H, on primary water stress corrosion cracking (PWSCC) of Alloy 600 were investigated for temperatures between 320 and 330{degrees}C. Specimens included in the study were reverse U-bends (RUBs) made from several different heats of Alloy 600. The characteristic life, {eta}, which represents the time until 63.2% of the population initiates PWSCC, was computed using a modified Weibull statistical analysis algorithm and was analyzed for effects of the water chemistry variables previously mentioned. It was determined that the water chemistry variables are less sensitive than the metallurgical characteristics defined by the heat, heat treatment and initial stress state of the specimen (diameter and style of RUB); the maximum impact of chemistry effects was 0.13 to 0.59 standard deviations compared to a range of three (3) standard deviations for all variables. A first-order model was generated to estimate the effect of changes in pH, Li and H, concentrations on the characteristic life. The characteristic time to initiate cracks, {eta}, is not sensitive to Li and H{sub 2} concentrations in excess of 3.5 ppm and 25 ml/kg, respectively. Below these values, (1) {eta} decreases by {approximately}20% when [Li] is increased from 0.7 to 3.5 ppm; (2) {eta} decreases by {approximately}9% when [H{sub 2}] is increased from 13.1 to 25.0 ml/kg; and (3) {eta} decreases by {approximately}14% when pH is increased from 7.0 to 7.4, in each case holding the other two variables constant.

Eason, E.D.; Merton, A.A.; Wright, J.E.

1996-05-01T23:59:59.000Z

108

HotPatch Web Gateway: Statistical Analysis of Unusual Patches on Protein Surfaces  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

HotPatch finds unusual patches on the surface of proteins, and computes just how unusual they are (patch rareness), and how likely each patch is to be of functional importance (functional confidence (FC).) The statistical analysis is done by comparing your protein's surface against the surfaces of a large set of proteins whose functional sites are known. Optionally, HotPatch can also write a script that will display the patches on the structure, when the script is loaded into some common molecular visualization programs. HotPatch generates complete statistics (functional confidence and patch rareness) on the most significant patches on your protein. For each property you choose to analyze, you'll receive an email to which will be attached a PDB-format file in which atomic B-factors (temp. factors) are replaced by patch indices; and the PDB file's Header Remarks will give statistical scores and a PDB-format file in which atomic B-factors are replaced by the raw values of the property used for patch analysis (for example, hydrophobicity instead of hydrophobic patches). [Copied with edits from http://hotpatch.mbi.ucla.edu/

Pettit, Frank K.; Bowie, James U.(DOE-Molecular Biology Institute)

109

Multivariate analysis applied to clinical analysis data.  

E-Print Network [OSTI]

??Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial Folate, vitamin B12, iron and hemoglobin are essential for metabolic functions in the… (more)

Tavares, Nuno Filipe Ramalho da Cunha

2014-01-01T23:59:59.000Z

110

Statistical and risk analysis for the measured and predicted axial response of 100 piles  

E-Print Network [OSTI]

of Committee) cu. Har y M. Coyl (Member) J rey D. Hart (Member) Donald McDonald (Head of Department) May 1986 ABSTRACT Statistical and Risk Analysis for the Measured and Predicted Axial Response of 100 Piles (December 1985) Dario Perdomo, B. S... encouragement and financial support. Sincere thanks are expressed to Dr. Jean-Louis Briaud and Nr. Larry Tucker i'or their guidance and advice throughout the course of this research. The assistance of Dr. Harry Coyle and Dr. Jeffrey Hart are also...

Perdomo, Dario

1986-01-01T23:59:59.000Z

111

Applications of Minkowski Functionals to the Statistical Analysis of Dark Matter Models  

E-Print Network [OSTI]

A new method for the statistical analysis of 3D point processes, based on the family of Minkowski functionals, is explained and applied to modelled galaxy distributions generated by a toy-model and cosmological simulations of the large-scale structure in the Universe. These measures are sensitive to both, geometrical and topological properties of spatial patterns and appear to be very effective in discriminating different point processes. Moreover by the means of conditional subsampling, different building blocks of large-scale structures like sheets, filaments and clusters can be detected and extracted from a given distribution.

Michael Platzoeder; Thomas Buchert

1995-09-04T23:59:59.000Z

112

A Statistical Analysis of Characteristics of Mesoscale Convective System Mountain Initiation Location Clusters in the Arkansas-Red River Basin  

E-Print Network [OSTI]

A Statistical Analysis of Characteristics of Mesoscale Convective System Mountain Initiation Location Clusters in the Arkansas-Red River Basin By Elisabeth F. Callen Submitted to the graduate degree program in Geography and the Graduate... ____________________________________ David Mechem Date Defended: November 9, 2012 ii The Thesis Committee for Elisabeth F. Callen certifies that this is the approved version of the following thesis: A Statistical Analysis of Characteristics of Mesoscale Convective...

Callen, Elisabeth F.

2012-12-31T23:59:59.000Z

113

Search for the God Particle Single Channel Analysis Data Collection & Processing Full Analysis Bayesian Analysis? The Role of Statistics  

E-Print Network [OSTI]

uci Search for the God Particle Single Channel Analysis Data Collection & Processing Full Analysis Search for the God Particle 2 Single Channel Analysis 3 Data Collection & Processing 4 Full Analysis 5 of a Higgs Boson #12;uci Search for the God Particle Single Channel Analysis Data Collection & Processing

Wolfe, Patrick J.

114

Challenges in Biomarker Discovery: Combining Expert Insights with Statistical Analysis of Complex Omics Data  

SciTech Connect (OSTI)

The advent of high throughput technologies capable of comprehensive analysis of genes, transcripts, proteins and other significant biological molecules has provided an unprecedented opportunity for the identification of molecular markers of disease processes. However, it has simultaneously complicated the problem of extracting meaningful signatures of biological processes from these complex datasets. The process of biomarker discovery and characterization provides opportunities both for purely statistical and expert knowledge-based approaches and would benefit from improved integration of the two. Areas covered In this review we will present examples of current practices for biomarker discovery from complex omic datasets and the challenges that have been encountered. We will then present a high-level review of data-driven (statistical) and knowledge-based methods applied to biomarker discovery, highlighting some current efforts to combine the two distinct approaches. Expert opinion Effective, reproducible and objective tools for combining data-driven and knowledge-based approaches to biomarker discovery and characterization are key to future success in the biomarker field. We will describe our recommendations of possible approaches to this problem including metrics for the evaluation of biomarkers.

McDermott, Jason E.; Wang, Jing; Mitchell, Hugh D.; Webb-Robertson, Bobbie-Jo M.; Hafen, Ryan P.; Ramey, John A.; Rodland, Karin D.

2013-01-01T23:59:59.000Z

115

A DETAILED STATISTICAL ANALYSIS OF THE MASS PROFILES OF GALAXY CLUSTERS  

SciTech Connect (OSTI)

The distribution of mass in the halos of galaxies and galaxy clusters has been probed observationally, theoretically, and in numerical simulations, yet there is still confusion about which of several suggested parameterized models is the better representation, and whether these models are universal. We use the temperature and density profiles of the intracluster medium as measured by X-ray observations of 11 relaxed galaxy clusters to investigate mass models for the halo using a thorough Bayesian statistical analysis. We make careful comparisons between two- and three-parameter models, including the issue of a universal third parameter. We find that, of the two-parameter models, the Navarro-Frenk-White (NFW) is the best representation, but we also find moderate statistical evidence that a generalized three-parameter NFW model with a freely varying inner slope is preferred, despite penalizing against the extra degree of freedom. There is a strong indication that this inner slope needs to be determined for each cluster individually, i.e., some clusters have central cores and others have steep cusps. The mass-concentration relation of our sample is in reasonable agreement with predictions based on numerical simulations.

Host, Ole [Department of Physics and Astronomy, University College London, Gower Street, London, WC1E 6BT (United Kingdom); Hansen, Steen H. [Dark Cosmology Centre, Niels Bohr Institute, University of Copenhagen, Juliane Maries Vej 30, DK-2100 Copenhagen (Denmark)

2011-07-20T23:59:59.000Z

116

A statistical analysis of avalanching heat transport in stationary enhanced core confinement regimes  

SciTech Connect (OSTI)

We present a statistical analysis of heat transport in stationary enhanced confinement regimes obtained from flux-driven gyrofluid simulations. The probability density functions of heat flux in improved confinement regimes, characterized by the Nusselt number, show significant deviation from Gaussian, with a markedly fat tail, implying the existence of heat avalanches. Two types of avalanching transport are found to be relevant to stationary states, depending on the degree of turbulence suppression. In the weakly suppressed regime, heat avalanches occur in the form of quasi-periodic (QP) heat pulses. Collisional relaxation of zonal flow is likely to be the origin of these QP heat pulses. This phenomenon is similar to transient limit cycle oscillations observed prior to edge pedestal formation in recent experiments. On the other hand, a spectral analysis of heat flux in the strongly suppressed regime shows the emergence of a 1/f (f is the frequency) band, suggesting the presence of self-organized criticality (SOC)-like episodic heat avalanches. This episodic 1/f heat avalanches have a long temporal correlation and constitute the dominant transport process in this regime.

Tokunaga, S.; Jhang, Hogun; Kim, S. S. [WCI Center for Fusion Theory, National Fusion Research Institute, 52, Yeoeun-dong, Yusung-Gu, Daejon (Korea, Republic of); Diamond, P. H. [WCI Center for Fusion Theory, National Fusion Research Institute, 52, Yeoeun-dong, Yusung-Gu, Daejon (Korea, Republic of); Center for Astrophysics and Space Sciences and Department of Physics, University of California San Diego, La Jolla, California 92093-0429 (United States)

2012-09-15T23:59:59.000Z

117

Statistical energy analysis limits for acoustic radiation car: an alternative approach  

Science Journals Connector (OSTI)

Due to a new pass?by noise regulation Vehicle exterior noise will have to be reduced in the coming years. This may be achieved by optimizing underbody and underhood absorption and screening apertures. There is then a need for numerical techniques able to predict sound reduction related to acoustic absorption and transmission loss changes. Through a work supported by ADEME and headed by PSA energy?based predictive techniques such as Analytical Statistical Energy Analysis (ASEA) and discretized Energy Flow Analysis (DEFA) were tested against the actual physical problem to be solved through a series of benchmarks. Both theories are compared across several simple acoustic problems. It is concluded that both methods do not fit to the initial acoustic optimization requirement due to their intrinsic assumptions that restrict their applicative range. More fitted numerical techniques are now investigated: among new candidates the Virtual SEA (VSEA) technique that allows the creation of a numerical model of coupled acoustic cavities from the finite element global modes without the serious limitations of ASEA and a matrix approach based on Craigh?Bampton substructuration of the cavities.

Gérard Borello; Alex Borello; Julien Primus; Laurent Gagliardini

2008-01-01T23:59:59.000Z

118

Neurogenomics in the mouse model : multivariate statistical methods and analyses  

E-Print Network [OSTI]

Irwin, Inc. , Illinois. Rademakers R, Sleegers K, Theuns J,2001; Melchor et al. 2003; Rademakers et al. 2005; Jacobs et

Zapala, Matthew Alan

2007-01-01T23:59:59.000Z

119

Comparison of multivariate methods for inferential modeling of soil carbon using visible/near-infrared spectra  

E-Print Network [OSTI]

Comparison of multivariate methods for inferential modeling of soil carbon using visible/near-infrared Diffuse reflectance spectroscopy Visible/near-infrared spectroscopy Multivariate calibration Pre-processing transformations In order to reduce costs and time in the analysis of soil properties, visible/near-infrared

Grunwald, Sabine

120

Derivation of statistical energy analysis from radiative Laboratoire de Tribologie et Dynamique des Syst`emes CNRS  

E-Print Network [OSTI]

assumption is equivalent to the equirepartition of energy in the modal approach. This equivalenceDerivation of statistical energy analysis from radiative exchanges A. LE BOT Laboratoire de to be uncorrelated leading to the additivity of energy. Inside all subsystems, the energy density is the sum

Paris-Sud XI, Université de

Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Statistical analysis of Multi-Material Components using Dual Energy CT Christoph Heinzl, Johann Kastner, Torsten Moller, and Eduard Groller  

E-Print Network [OSTI]

-scan fusion, the statistical analysis step computes probability volumes of the fused data using a local-ray computed tomography (3DCT). 3DCT is a non-touching and non-destructive method, which allows a fast char: Photograph (a) and principle scheme (b) of an industrial 3D X-ray computed tomography system. General design

122

Statistical Analysis of Baseline Load Models for Non-Residential Buildings  

SciTech Connect (OSTI)

Policymakers are encouraging the development of standardized and consistent methods to quantify the electric load impacts of demand response programs. For load impacts, an essential part of the analysis is the estimation of the baseline load profile. In this paper, we present a statistical evaluation of the performance of several different models used to calculate baselines for commercial buildings participating in a demand response program in California. In our approach, we use the model to estimate baseline loads for a large set of proxy event days for which the actual load data are also available. Measures of the accuracy and bias of different models, the importance of weather effects, and the effect of applying morning adjustment factors (which use data from the day of the event to adjust the estimated baseline) are presented. Our results suggest that (1) the accuracy of baseline load models can be improved substantially by applying a morning adjustment, (2) the characterization of building loads by variability and weather sensitivity is a useful indicator of which types of baseline models will perform well, and (3) models that incorporate temperature either improve the accuracy of the model fit or do not change it.

Coughlin, Katie; Piette, Mary Ann; Goldman, Charles; Kiliccote, Sila

2008-11-10T23:59:59.000Z

123

A Discussion of Statistical Methods for Design and Analysis of Microarray Experiments for Plant Scientists  

Science Journals Connector (OSTI)

...consistent with the hypothesis that host-specific resistance evolved from the recognition and prevention of the pathogens...scientific endeavors. Much of my essay has focused on elementary concepts in statistics that many readers will undoubtedly...

Dan Nettleton

124

Monitoring variability of multivariate processes  

Science Journals Connector (OSTI)

The paper focuses on determining changes in process variability of multivariate processes. The problem is compounded by the fact that any of the elements in the variance-covariance matrix of variables could change, leading to a change in the process variability. While it may not be feasible to maintain individual control charts for each element of the variance-covariance matrix, some aggregate measure of the variability criteria could be monitored to initially determine if a change has occurred in the process variability. A couple of aggregate measures are proposed and the performance of these suggested measures is explored through a simulation procedure. Compared to the traditional method, which monitors the determinant of the variance-covariance matrix, these alternatives perform well. The performance measure used is the mean time to first detection of a change in the process variability.

Amitava Mitra; Mark Clark

2014-01-01T23:59:59.000Z

125

Asymptotic Analysis of Multivariate Tail Conditional Expectations  

E-Print Network [OSTI]

instruments so that the resulting position (X) - X is acceptable to regulators/supervisors. The coherent risk related to various coherent risk measures. In the univari- ate case, the tail conditional expectation is asymptotically proportional to the value-at-risk, a popular risk measure. The focus of this paper

Li, Haijun

126

Asymptotic Analysis of Multivariate Tail Conditional Expectations  

E-Print Network [OSTI]

instruments so that the resulting position (X) - X is acceptable to regulators/supervisors. The coherent risk and are closely related to various coherent risk measures. In the univari- ate case, the tail conditional expectation is asymptotically proportional to the value-at-risk, a popular risk measure. The focus

Li, Haijun

127

Permutation Entropy and Statistical Complexity Analysis of Turbulence in Laboratory Plasmas and the Solar Wind  

E-Print Network [OSTI]

The Bandt-Pompe permutation entropy and the Jensen-Shannon statistical complexity are used to analyze fluctuating time series of three different plasmas: the magnetohydrodynamic (MHD) turbulence in the plasma wind tunnel of the Swarthmore Spheromak Experiment (SSX), drift-wave turbulence of ion saturation current fluctuations in the edge of the Large Plasma Device (LAPD) and fully-developed turbulent magnetic fluctuations of the solar wind taken from the WIND spacecraft. The entropy and complexity values are presented as coordinates on the CH plane for comparison among the different plasma environments and other fluctuation models. The solar wind is found to have the highest permutation entropy and lowest statistical complexity of the three data sets analyzed. Both laboratory data sets have larger values of statistical complexity, suggesting these systems have fewer degrees of freedom in their fluctuations, with SSX magnetic fluctuations having slightly less complexity than the LAPD edge fluctuations. The CH ...

Weck, Peter J; Brown, Michael R; Wicks, Robert T

2014-01-01T23:59:59.000Z

128

Statistical Analysis of Microgravity Two-Phase Slug Flow via the Drift Flux Model  

E-Print Network [OSTI]

. The result was a statistically consistent microgravity slug flow data base consisting of 220 data points from 8 different experiments and the associated values for the concentration parameter, Co, and drift velocity, u_(gj). A key component for this model...

Larsen, Benjamin A

2014-05-01T23:59:59.000Z

129

Statistical Analysis of LifeData with Masked CauseofFailure  

E-Print Network [OSTI]

, a detailed Failure Mode Effect Analysis (FMEA) can be carried out in a routine manner. In reliability been pursued under the general heading of Failure Mode Effect Analysis (FMEA) when the exact causes

Basu, Sanjib

130

Statistical analysis of aerosol species, trace gasses, and meteorology in Chicago  

E-Print Network [OSTI]

possible pollutant sources. Keywords Atmospheric aerosols . Canonical correlation analysis . Chicago air pollution studies involve collection and anal- ysis of atmospheric aerosols and concurrent meteorol- ogy) and principal component analysis (PCA) were applied to atmospheric aerosol and trace gas concentrations

O'Brien, Timothy E.

131

Statistical Modeling of Daily Energy Consumption in Commercial Buildings Using Multiple Regression and Principal Component Analysis  

E-Print Network [OSTI]

, for example Jolliffer, 1986; Van Rijckevorsel and de Leeuw, 1988; FlUry, 1988; Jackson, 1991; Daultrey, 1976) is a statistical technique useful for describing and summarizing data. It takes a group of "n" variables and re-expresses them as another set... if T and RH are known (Zaikong et al., 1985); (5) solar radiation SOL; and, (6) wind speed WIND. Weather independent variables include: (l) time schedules: regular (weekdays, weekends, holidays) and stochastic; (2) lighting loads; (3) occupant loads...

Reddy, T. A.; Claridge, D.; Wu, J.

132

ST4241: Design and Analysis of Clinical Trials Department of Statistics & Applied Probability  

E-Print Network [OSTI]

-Smirnov test, Mann-Whitney-Wilcoxon test and Kruskal-Wallis test. Chen Zehua ST4241: Design and Analysis

Chen, Zehua

133

ST3232: Design and Analysis of Experiments Department of Statistics & Applied Probability  

E-Print Network [OSTI]

-parametric method -- Kruskal-Wallis test for one-way layout data. Chen Zehua ST3232: Design and Analysis

Chen, Zehua

134

Statistical analysis of operational reliability for electric pump units CN 60–180 of VVER-1000 reactors with root estimation methods  

Science Journals Connector (OSTI)

We consider the problem of processing statistical data obtained during the operation of pumping units CN 60–180 operating as standard equipment of the VVER-1000 reactors. Data for analysis was taken from the indu...

A. V. Antonov; V. A. Chepurko; N. G. Zyulyaeva…

2010-07-01T23:59:59.000Z

135

A study of in-cylinder combustion processes by using high speed multi-spectral infrared imaging and a robust statistical analysis method.  

E-Print Network [OSTI]

??Combustion processes in a spark-ignition engine were studied by using a high speed multi-spectral infrared camera system and a new robust statistical analysis method. Among… (more)

VanderVeer, Joseph R.

2008-01-01T23:59:59.000Z

136

Statistical analysis of surface lineaments and fractures for characterizing naturally fractured reservoirs  

SciTech Connect (OSTI)

Thirty-six sets of surface lineaments and fractures mapped from satellite images and/or aerial photos from parts of the Mid-continent and Colorado Plateau regions were collected, digitized, and statistically analyzed in order to obtain the probability distribution functions of natural fractures for characterizing naturally fractured reservoirs. The orientations and lengths of the surface linear features were calculated using the digitized coordinates of the two end points of each individual linear feature. The spacing data of the surface linear features within an individual set were, obtained using a new analytical sampling technique. Statistical analyses were then performed to find the best-fit probability distribution functions for the orientation, length, and spacing of each data set. Twenty-five hypothesized probability distribution functions were used to fit each data set. A chi-square goodness-of-fit test was used to rank the significance of each fit. A distribution which provides the lowest chi-square goodness-of-fit value was considered the best-fit distribution. The orientations of surface linear features were best-fitted by triangular, normal, or logistic distributions; the lengths were best-fitted by PearsonVI, PearsonV, lognormal2, or extreme-value distributions; and the spacing data were best-fitted by lognormal2, PearsonVI, or lognormal distributions. These probability functions can be used to stochastically characterize naturally fractured reservoirs.

Guo, Genliang; George, S.A.; Lindsey, R.P.

1997-08-01T23:59:59.000Z

137

Steven J. Schwager Department of Biological Statistics and Computational Biology  

E-Print Network [OSTI]

BTRY 3010, Biological Statistics I BTRY 4080 (408), Theory of Probability BTRY 4090 (409), Theory of Multivariate Normal Outliers. (1982) Ann. Statist. 10:943-954. (with B.H. Margolin) 2. Run ProbabilitiesSteven J. Schwager Department of Biological Statistics and Computational Biology and Department

Keinan, Alon

138

Rebound 2007: Analysis of U.S. Light-Duty Vehicle Travel Statistics  

SciTech Connect (OSTI)

U.S. national time series data on vehicle travel by passenger cars and light trucks covering the period 1966 2007 are used to test for the existence, size and stability of the rebound effect for motor vehicle fuel efficiency on vehicle travel. The data show a statistically significant effect of gasoline price on vehicle travel but do not support the existence of a direct impact of fuel efficiency on vehicle travel. Additional tests indicate that fuel price effects have not been constant over time, although the hypothesis of symmetry with respect to price increases and decreases is not rejected. Small and Van Dender (2007) model of a declining rebound effect with income is tested and similar results are obtained.

Greene, David L [ORNL

2010-01-01T23:59:59.000Z

139

ST3232: Design and Analysis of Experiments Department of Statistics & Applied Probability  

E-Print Network [OSTI]

. The Kruskal-Wallis test is used when the number of levels is more than 2. Chen Zehua ST3232: Design.58/0.9997 = 2.5808. The p-value is 0.1082. Chen Zehua ST3232: Design and Analysis of Experiments #12;Kruskal-Wallis and Analysis of Experiments #12;Kruskal-Wallis test (cont.) Under null hypothesis that there is no difference

Chen, Zehua

140

Development of a thermobalance and analysis of lignites by thermogravimetric and statistical methods  

E-Print Network [OSTI]

. It is used to heat homes, to produce steam to drive turbines which run our industries and pro- duce our electricity, to form coke which is then used in the production of iron and steel, and to produce coal gas which is then burned or turned into some new... deal of time. Now that TA allows for a rapid determination of the proximate analysis of a coal or coke, a quick method for predicting Q is possible. The method used in this research for relating Q to prox- imate analysis data is presented here...

Ferguson, James Allen

2012-06-07T23:59:59.000Z

Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Improving Thermal Model Prediction Through Statistical Analysis of Irradiation and Post-Irradiation Data from AGR Experiments  

SciTech Connect (OSTI)

As part of the Research and Development program for Next Generation High Temperature Reactors (HTR), a series of irradiation tests, designated as Advanced Gas-cooled Reactor (AGR), have been defined to support development and qualification of fuel design, fabrication process, and fuel performance under normal operation and accident conditions. The AGR tests employ fuel compacts placed in a graphite cylinder shrouded by a steel capsule and instrumented with thermocouples (TC) embedded in graphite blocks enabling temperature control. The data representing the crucial test fuel conditions (e.g., temperature, neutron fast fluence, and burnup) while impossible to obtain from direct measurements are calculated by physics and thermal models. The irradiation and post-irradiation examination (PIE) experimental data are used in model calibration effort to reduce the inherent uncertainty of simulation results. This paper is focused on fuel temperature predicted by the ABAQUS code’s finite element-based thermal models. The work follows up on a previous study, in which several statistical analysis methods were adapted, implemented in the NGNP Data Management and Analysis System (NDMAS), and applied for improving qualification of AGR-1 thermocouple data. The present work exercises the idea that the abnormal trends of measured data observed from statistical analysis may be caused by either measuring instrument deterioration or physical mechanisms in capsules that may have shifted the system thermal response. As an example, the uneven reduction of the control gas gap in Capsule 5 revealed by the capsule metrology measurements in PIE helps justify the reduction in TC readings instead of TC drift. This in turn prompts modification of thermal model to better fit with experimental data, thus help increase confidence, and in other word reduce model uncertainties in thermal simulation results of the AGR-1 test.

Dr. Binh T. Pham; Grant L. Hawkes; Jeffrey J. Einerson

2012-10-01T23:59:59.000Z

142

DAnTE: a statistical tool for quantitative analysis of -omics data  

Science Journals Connector (OSTI)

......employing the Shapiro-Wilks test and features two non-parametric hypothesis tests (Wilcoxon rank sum test and Kruskal-Wallis test) when the normality assumption fails to hold. 3 SUMMARY DAnTE is designed as a complete downstream analysis......

Ashoka D. Polpitiya; Wei-Jun Qian; Navdeep Jaitly; Vladislav A. Petyuk; Joshua N. Adkins; David G. Camp; II; Gordon A. Anderson; Richard D. Smith

2008-07-01T23:59:59.000Z

143

Multivariate Optical Computation for Predictive Spectroscopy  

E-Print Network [OSTI]

Multivariate Optical Computation for Predictive Spectroscopy Matthew P. Nelson, Jeffrey F. Aust, J Research Council of Canada, Ottawa, Ontario, Canada K1A 0R6 A novel optical approach to predicting chemical into the structure of a set of paired optical filters. Light passing through the paired filters produces an analog

Myrick, Michael Lenn

144

Statistical analysis of patent data relating to the organic Rankine cycle  

Science Journals Connector (OSTI)

Abstract This study analyzed patent data to explore the technological developments based on the organic Rankine cycle (ORC), which is one of the most economical and efficient methods for converting low-grade thermal energy into electricity. The patent data were obtained from the Thomson Innovation commercial database, which contains patent information from various countries and offices. After querying, filtering, and organizing the results into patent families in accordance with International Patent Documentation Center guidelines, this study analyzed data on 304 ORC-related patents. The results show that the number of patent applications increased gradually before 2006, and then rapidly from 2009 to 2011, primarily because of contributions from patent applications in China (CN) and the Republic of Korea (KR). The present findings indicate that 2009 is an important year regarding developments in ORC systems and the number of patent applications. Furthermore, the assignees from the United States (US) were the most prominent contributors. However, the most patent applications were filed in CN, indicating that the market for ORC systems in CN might offer the most potential for future development. This study also examined the top ten patent assignees, as well as the trends of the number of patent applications, size of patent families, and frequency of patent citations. The results show that all of the top ten assignees were from the US, CN, and KR. Moreover, most of them filed their patent applications in recent years, particularly after 2008. The results further indicate that the most active assignee is currently General Electric Company (US). In addition, the top five patent families and the five most frequently cited patents are briefly reviewed and discussed. The patent data analysis results indicate that the technology life cycle status of the ORC is currently in the growth stage.

Ben-Ran Fu; Sung-Wei Hsu; Chih-Hsi Liu; Yu-Ching Liu

2014-01-01T23:59:59.000Z

145

New oil modified acrylic polymer for pH sensitive drug release: Experimental results and statistical analysis  

E-Print Network [OSTI]

We report results of an experimental study, complemented by detailed statistical analysis of the experimental data, on the development of a more effective control method of drug delivery using a pH sensitive acrylic polymer. New copolymers based on acrylic acid and fatty acid are constructed from dodecyl castor oil and a tercopolymer based on methyl methacrylate, acrylic acid and acryl amide were prepared using this new approach. Water swelling characteristics of fatty acid, acrylic acid copolymer and tercopolymer respectively in acid and alkali solutions have been studied by a step-change method. The antibiotic drug cephalosporin and paracetamol have also been incorporated into the polymer blend through dissolution with the release of the antibiotic drug being evaluated in bacterial stain media and buffer solution. Our results show that the rate of release of paracetamol getss affected by the pH factor and also by the nature of polymer blend. Our experimental data have later been statistically analyzed to quantify the precise nature of polymer decay rates on the pH density of the relevant polymer solvents. The time evolution of the polymer decay rates indicate a marked transition from a linear to a strictly non-linear regime depending on the whether the chosen sample is a general copolymer (linear) or a tercopolymer (non-linear). Non-linear data extrapolation techniques have been used to make probabilistic predictions about the variation in weight percentages of retained polymers at all future times, thereby quantifying the degree of efficacy of the new method of drug delivery.

N. Panja; A. K. Chattopadhyay

2014-12-05T23:59:59.000Z

146

The price of electricity from private power producers: Stage 2, Expansion of sample and preliminary statistical analysis  

SciTech Connect (OSTI)

The market for long-term bulk power is becoming increasingly competitive and mature. Given that many privately developed power projects have been or are being developed in the US, it is possible to begin to evaluate the performance of the market by analyzing its revealed prices. Using a consistent method, this paper presents levelized contract prices for a sample of privately developed US generation properties. The sample includes 26 projects with a total capacity of 6,354 MW. Contracts are described in terms of their choice of technology, choice of fuel, treatment of fuel price risk, geographic location, dispatchability, expected dispatch niche, and size. The contract price analysis shows that gas technologies clearly stand out as the most attractive. At an 80% capacity factor, coal projects have an average 20-year levelized price of $0.092/kWh, whereas natural gas combined cycle and/or cogeneration projects have an average price of $0.069/kWh. Within each technology type subsample, however, there is considerable variation. Prices for natural gas combustion turbines and one wind project are also presented. A preliminary statistical analysis is conducted to understand the relationship between price and four categories of explanatory factors including product heterogeneity, geographic heterogeneity, economic and technological change, and other buyer attributes (including avoided costs). Because of residual price variation, we are unable to accept the hypothesis that electricity is a homogeneous product. Instead, the analysis indicates that buyer value still plays an important role in the determination of price for competitively-acquired electricity.

Comnes, G.A.; Belden, T.N.; Kahn, E.P.

1995-02-01T23:59:59.000Z

147

Sequential Monte Carlo EM for multivariate probit models  

Science Journals Connector (OSTI)

Multivariate probit models have the appealing feature of capturing some of the dependence structure between the components of multidimensional binary responses. The key for the dependence modelling is the covariance matrix of an underlying latent multivariate ... Keywords: Adaptive sequential Monte Carlo, Maximum likelihood, Monte Carlo EM, Multivariate probit

Giusi Moffa; Jack Kuipers

2014-04-01T23:59:59.000Z

148

Accelerated Articles Design and Testing of a Multivariate Optical  

E-Print Network [OSTI]

#12;Accelerated Articles Design and Testing of a Multivariate Optical Element: The First Demonstration of Multivariate Optical Computing for Predictive Spectroscopy O. Soyemi, D. Eastwood, L. Zhang, H Street, Suite 102, Lincoln, Nebraska 68508 A demonstration of multivariate optical computing is presented

Myrick, Michael Lenn

149

Practical Experiments in Statistics  

Science Journals Connector (OSTI)

An simple and inexpensive experiment in radioactive decay that can be applied to any field that requires a knowledge of statistics; the primary goal is to familiarize students with probability distributions. ... A Didactic Experience of Statistical Analysis for the Determination of Glycine in a Nonaqueous Medium Using ANOVA and a Computer Program ...

Craig A. Stone; Lorin D. Mumaw

1995-01-01T23:59:59.000Z

150

Relationship between Solar Energetic Particles and Properties of Flares and CMEs: Statistical Analysis of Solar Cycle 23 Events  

E-Print Network [OSTI]

A statistical analysis of the relationship between solar energetic particles (SEPs) and properties of solar flares and coronal mass ejections (CMEs) is presented. SEP events during solar cycle 23 are selected which are associated with solar flares originating on the visible hemisphere of the Sun and at least of magnitude M1. Taking into account all flares and CMEs that occurred during this period, the probability for the occurrence of an SEP event near Earth is determined. A strong rise of this probability is observed for increasing flare intensities, more western locations, larger CME speeds and halo CMEs. The correlations between the proton peak flux and these solar parameters are derived for a low (>10 MeV) and high (>60 MeV) energy range excluding any flux enhancement due to the passage of fast interplanetary shocks. The obtained correlation coefficients are: 0.55+-0.07 (0.63+-0.06) with flare intensity and 0.56+-0.08 (0.40+-0.09) with the CME speed for E>10 MeV (E>60 MeV). For both energy ranges, the cor...

Dierckxsens, M; Dalla, S; Patsou, I; Marsh, M S; Crosby, N B; Malandraki, O; Tsiropoula, G

2014-01-01T23:59:59.000Z

151

Independent Statistics & Analysis  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Table Format and Sources The Electric Power sector in this report includes electric utilities, independent power producers, and electric utility combined heat and power plants....

152

Multivariate optimization of production systems: The time dimension  

SciTech Connect (OSTI)

Traditional analysis of oil and gas production systems treats individual nodes one at a time. This only calculates a feasible solution which is not necessarily optimal. Multivariate optimization is able to determine the most profitable configuration, including all variables simultaneously. The optimization can also find the optimal recovery over a period of time, rather than just at a single instant as in traditional methods. This report describes the development of multivariate optimization for situations in which the decision variables may change as a function of time. For example, instead of estimating a tubing size which is optimal over the life of the project, this approach determines a series of optimal tubing sizes which may change from year to year. Examples show that under an optimal strategy, tubing size can be changed only infrequently while still increasing profitability of a project. The methods used in this work considered the special requirements of objectives which are not smooth functions of their decision variables. The physical problems considered included artificial lift production systems.

Ravindran, N.; Horne, R.N.

1993-04-01T23:59:59.000Z

153

Dynamic Graphics in a GIS: Exploring and An-alyzing Multivariate Spatial Data Using Linked  

E-Print Network [OSTI]

Dynamic Graphics in a GIS: Exploring and An- alyzing Multivariate Spatial Data Using Linked of the data set. Two examples of data that are inherently spatial can be seen in the next section: one information with the ground-based sample. Spatial data analysis is largely concerned with lookingfor trends

Symanzik, Jürgen

154

Phytologia (August 2012) 94(2) 253 MULTIVARIATE DETECTION OF HYBRIDIZATION  

E-Print Network [OSTI]

Phytologia (August 2012) 94(2) 253 MULTIVARIATE DETECTION OF HYBRIDIZATION USING CONIFER TERPENES I: ANALYSIS OF TERPENE INHERITANCE PATTERNS IN CRYPTOMERIA JAPONICA F1 HYBRIDS Robert P. Adams Biology. Kumotooshi were analyzed, along with their 22 hybrids. The compositions of leaf oils of cv. Haava and cv

Adams, Robert P.

155

Mathematics & Statistics Coop Program Students from the Mathematics & Statistics Coop Program have conducted work terms in the fields of actuarial  

E-Print Network [OSTI]

Mathematics & Statistics Coop Program Students from the Mathematics & Statistics Coop Program have design and data analysis, medical imaging, mathematical finance and statistical modeling. They have of Mathematics & Statistics Coop Work Terms Duties: Performed data mapping and analysis activities Derived

Hitchcock, Adam P.

156

33. Statistics 1 33. STATISTICS  

E-Print Network [OSTI]

inference, which we may call frequentist and Bayesian. In frequentist statistics, probability is interpreted probability, are treated in Section 33.3.2. Note that in frequentist statistics one does not define a probability for a hypothesis or for a parameter. Frequentist statistics provides the usual tools for reporting

157

36. Statistics 1 36. STATISTICS  

E-Print Network [OSTI]

inference, which we may call frequentist and Bayesian. In frequentist statistics, probability is interpreted probability, are treated in Section 36.3.2. Note that in frequentist statistics one does not define a probability for a hypothesis or for a parameter. Frequentist statistics provides the usual tools for reporting

158

Statistics Track (B.A.) and Statistics Minor General summary  

E-Print Network [OSTI]

to solve problems in the real world. Students interested in jobs or grad school in statistics or actuarial of the statistics programs: 1. Extremely practical real-world application of quantitative analysis 2. Information.S. in statistics at the U.S. Department of Energy Of particular note, actuaries are the stat/math brains behind

Bogaerts, Steven

159

Multivariate Receptor Models and Model Uncertainty  

E-Print Network [OSTI]

, Man-Suk Oh2 , and Peter Guttorp1 1. National Research Center for Statistics and the Environment University of Washington Seattle, WA 98195 2. Department of Statistics Ewha Women's University Seoul 120; Model identifiability; Number of sources; Posterior Model Probability; Marginal likelihood. #12;1 1

Washington at Seattle, University of

160

Cluster Statistics  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Genepool Memory Heatmaps Usage Statistics UGE Scheduler Cycle Time File storage and IO Data Management Supported Systems FAQ Performance and Optimization Genepool Completed Jobs...

Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Statistical Survival Analysis of Fish and Wildlife Tagging Studies; SURPH.1 Manual - Analysis of Release-Recapture Data for Survival Studies, 1994 Technical Manual.  

SciTech Connect (OSTI)

Program SURPH is the culmination of several years of research to develop a comprehensive computer program to analyze survival studies of fish and wildlife populations. Development of this software was motivated by the advent of the PIT-tag (Passive Integrated Transponder) technology that permits the detection of salmonid smolt as they pass through hydroelectric facilities on the Snake and Columbia Rivers in the Pacific Northwest. Repeated detections of individually tagged smolt and analysis of their capture-histories permits estimates of downriver survival probabilities. Eventual installation of detection facilities at adult fish ladders will also permit estimation of ocean survival and upstream survival of returning salmon using the statistical methods incorporated in SURPH.1. However, the utility of SURPH.1 far exceeds solely the analysis of salmonid tagging studies. Release-recapture and radiotelemetry studies from a wide range of terrestrial and aquatic species have been analyzed using SURPH.1 to estimate discrete time survival probabilities and investigate survival relationships. The interactive computing environment of SURPH.1 was specifically developed to allow researchers to investigate the relationship between survival and capture processes and environmental, experimental and individual-based covariates. Program SURPH.1 represents a significant advancement in the ability of ecologists to investigate the interplay between morphologic, genetic, environmental and anthropogenic factors on the survival of wild species. It is hoped that this better understanding of risk factors affecting survival will lead to greater appreciation of the intricacies of nature and to improvements in the management of wild resources. This technical report is an introduction to SURPH.1 and provides a user guide for both the UNIX and MS-Windows{reg_sign} applications of the SURPH software.

Smith, Steven G.; Skalski, John R.; Schelechte, J. Warren [Univ. of Washington, Seattle, WA (United States). Center for Quantitative Science

1994-12-01T23:59:59.000Z

162

Laboratory tests, statistical analysis and correlations for regained permeability and breakthrough time in unconsolidated sands for improved drill-in fluid cleanup practices  

E-Print Network [OSTI]

LABORATORY TESTS) STATISTICAL ANALYSIS AND CORRELATIONS FOR REGAINED PERMEABILITY AND BREAKTHROUGH TIME IN UNCONSOLIDATED SANDS FOR IMPROVED DRILL-IN FLUID CLEANUP PRACTICES A Thesis GERARDO ENRIQUE SERRANO Submitted to the Office of Graduate... AND BREAKTHROUGH TIME IN UNCONSOLIDATED SANDS FOR IMPROVED DRILL-IN FLUID CLEANUP PRACTICES A Thesis by GERARDO ENRIQUE SERRANO Submitted to Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Approved...

Serrano, Gerardo Enrique

2012-06-07T23:59:59.000Z

163

Rank test for multivariate two sample data using projection pursuit.  

E-Print Network [OSTI]

??Construction of an asymptotically distribution free test for the hypothesis that two multivariate random samples are identically distributed has been a topic among many statisticians… (more)

Gunathilaka, Unawatuna Gamage

2007-01-01T23:59:59.000Z

164

Applying bottom-up analysis to identify the system boundaries of non-energy use data in international energy statistics  

Science Journals Connector (OSTI)

Data on the non-energy use of fossil fuels in energy statistics are subject to major uncertainties. We apply a simple bottom-up methodology to recalculate non-energy use for the entire world and for the 50 countries with the highest consumption of fossil fuels for non-energy purposes. We quantify worldwide non-energy use in the year 2000 to be 24±2 exajoules (EJ), thereby accounting for 6% of the global total primary energy supply (TPES). Our bottom-up estimates are in line with data from international energy statistics for the entire world and for 14 individual countries. Our estimates exceed official non-energy use data for 22 countries, whereas they are lower than official data in the case of 14 countries. Inconsistent system boundaries of non-energy use data in international energy statistics can explain parts of the observed deviations. We regard our bottom-up methodology as reliable albeit being attached with uncertainties. We recommend its use for energy statisticians and greenhouse gas (GHG) inventory makers to generate a shortlist of countries, for which efforts should be made to clarify and improve the quality of non-energy use data in national and international energy statistics.

M. Weiss; M.L. Neelis; M.C. Zuidberg; M.K. Patel

2008-01-01T23:59:59.000Z

165

Multivariable Mendelian randomization: the use of pleiotropic genetic variants to estimate causal effects  

E-Print Network [OSTI]

what you need, pages 113–220. Princeton University Press, 2009. [17] Burgess S, Butterworth A, Thompson S. Mendelian randomization analysis with multiple genetic variants using summarized data. Genetic Epidemiology 2013; 37(7):658–665. 20 [18] Thompson... . Common variants associated with plasma triglycerides and risk for coronary artery disease. Nature Genetics 2013;45:1345–1352. [20] Burgess S, Freitag D, Khan H, Gorman D, Thompson S. Using multivariable Mendelian randomization to disentangle the causal...

Burgess, Stephen; Thompson, Simon G.

2014-01-01T23:59:59.000Z

166

A statistical analysis of well production rates from UK oil and gas fields – Implications for carbon capture and storage  

Science Journals Connector (OSTI)

Abstract The number of wells required to dispose of global CO2 emissions by injection into geological formations is of interest as a key indicator of feasible deployment rate, scale and cost. Estimates have largely been driven by forecasts of sustainable injection rate from mathematical modelling of the CO2 injection process. Recorded fluid production rates from oil and gas fields can be considered an observable analogue in this respect. The article presents statistics concerning Cumulative average Bulk fluid Production (CBP) rates per well for 104 oil and gas fields from the UK offshore region. The term bulk fluid production is used here to describe the composite volume of oil, gas and water produced at reservoir conditions. Overall, the following key findings are asserted: (1) CBP statistics for UK offshore oil and gas fields are similar to those observed for CO2 injection projects worldwide. (2) 50% probability of non-exceedance (PNE) for CBP for oil and gas fields without water flood is around 0.35 Mt/yr/well of CO2 equivalent. (3) There is negligible correlation between reservoir transmissivity and CBP. (4) Study of net and gross CBP for water flood fields suggest a 50% PNE that brine co-production during CO2 injection could lead to a 20% reduction in the number of wells required.

Simon A. Mathias; Jon G. Gluyas; Eric J. Mackay; Ward H. Goldthorpe

2013-01-01T23:59:59.000Z

167

Residential solar home resale analysis  

SciTech Connect (OSTI)

One of the determinants of the market acceptance of solar technologies in the residential housing sector is the value placed upon the solar property at the time of resale. The resale factor is shown to be an important economic parameter when net benefits of the solar design are considered over a typical ownership cycle rather than the life cycle of the system. Although a study of solar resale in Davis, Ca, indicates that those particular homes have been appreciating in value faster than nonsolar market comparables, no study has been made that would confirm this conclusion for markets in other geograhical locations with supporting tests of statistical significance. The data to undertake such an analysis is available through numerous local sources; however, case by case data collection is prohibitively expensive. A recommended alternative approach is to make use of real estate market data firms who compile large data bases and provide multi-variate statistical analysis packages.

Noll, S.A.

1980-01-01T23:59:59.000Z

168

1979 DOE statistical symposium  

SciTech Connect (OSTI)

The 1979 DOE Statistical Symposium was the fifth in the series of annual symposia designed to bring together statisticians and other interested parties who are actively engaged in helping to solve the nation's energy problems. The program included presentations of technical papers centered around exploration and disposal of nuclear fuel, general energy-related topics, and health-related issues, and workshops on model evaluation, risk analysis, analysis of large data sets, and resource estimation.

Gardiner, D.A.; Truett T. (comps. and eds.)

1980-09-01T23:59:59.000Z

169

Stochastic Estimation of Multi-Variable Human Ankle Mechanical Impedance  

E-Print Network [OSTI]

This article presents preliminary stochastic estimates of the multi-variable human ankle mechanical impedance. We employed Anklebot, a rehabilitation robot for the ankle, to provide torque perturbations. Time histories of ...

Rastgaar Aagaah, Mohammad

170

Watts, Qian, and Tracey 1 Multivariate OI correlation functions  

E-Print Network [OSTI]

Watts, Qian, and Tracey 1 APPENDIX Multivariate OI correlation functions The optimal interpolation to indicate its dependent variable. #12; Watts, Qian, and Tracey 2 As an example of using this extension

Rhode Island, University of

171

Department of Statistics STATISTICS COLLOQUIUM  

E-Print Network [OSTI]

for Partical Astrophysics Probing Cosmic Acceleration with the Dark Energy Survey: Statistical Challenges remains a mys- tery. The Dark Energy Survey (DES) aims to address the questions: why is the expansion speeding up? Is cosmic acceleration due to dark energy or does it require a modification of Einstein

Stephens, Matthew

172

JGI - Statistics  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Statistics Statistics FY 2014 Overall Sequencing Progress, Updated Quarterly Quarter Total Bases (trillions) Operating Hours Goal Actual Total* Actual % of Goal Goal (hours)** Actual Total Actual % Goal Q1 2014 15,000 18.827 126% 2,164 2208 102% Q2 2014 17,000 2,117 Q3 2014 18,000 2,140 Q4 2014 18,000 2,164 FY 2014 Total 68,000 18.827 28% 8,585 2208 26% * Includes Illumina HiSeq, MiSeq and PacBio sequencing platforms. ** Operating Hour target is based on 98% of the total available hours. FY 2013 Overall Sequencing Progress, Updated Quarterly Quarter Total Bases (Billions) Operating Hours Goal Actual Total* Actual % of Goal Goal (hours)** Actual Total Actual % Goal Q1 2013 15,000 20,004 133% 2,164 2,208 102%

173

Statistical switching overvoltage analysis of the first B. C. Hydro phase shifting transformer using the electromagnetic transients program  

SciTech Connect (OSTI)

A 400 MVA 230 kV phase shifting transformer (PST) is to be installed in the Nelway Substation of the British Columbia Hydro (B.C. Hydro) transmission network. This will be the first PST in the B.C. Hydro system. The Nelway PST is to mitigate the problems associated with the inadvertent loop-flows through the interconnections between the B.C. Hydro and the Bonneville Power Administration (BPA) systems. Phase shifting transformers for similar purposes are being planned or installed throughout the Western Systems Coordinating Council (WSCC). Due to the design and construction of the PST, a detailed analysis of the switching overvoltages for insulation coordination is required. This analysis employs the application of the electromagnetic transients program (EMTP). The analysis is presented in this paper.

Lee, K.C.; Poon, K.P. (British Columbia Hydro and Power Authority, Vancouver, BC (Canada))

1990-11-01T23:59:59.000Z

174

Multivariate Calibration Models for Sorghum Composition using...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

M.A.; Agblevor, F.; Collins, M.; Johnson, D.K. "Compositional Analysis of Biomass Feedstocks by Near Infrared Reflectance Spectroscopy." Biomass and Bioenergy (11:5), 1996;...

175

Statistical analysis of the induced Basel 2006 earthquake sequence: introducing a probability-based monitoring approach for Enhanced Geothermal Systems  

Science Journals Connector (OSTI)

......uncertainty. In contrast to the standard hazard assessment, which is...implies that beforehand, a plan of action must be agreed upon...et al, 2009a. Deep heat mining basel: seismic risk analysis...point-process modeling: a review, Pure appl. Geophys., 155......

C. E. Bachmann; S. Wiemer; J. Woessner; S. Hainzl

2011-08-01T23:59:59.000Z

176

Mathematical and geological approaches to minimizing the data requirements for statistical analysis of hydraulic conductivity. Technical completion report  

SciTech Connect (OSTI)

Field scale heterogeneity has been recognized as a dominant control on solute dispersion in groundwater. Numerous random field models exist for quantifying heterogeneity and its influence on solute transport. Minimizing data requirements in model selection and subsequent parameterization will be necessary for efficient application of quantitative models in contaminated subsurface environments. In this study, a detailed quantitative sedimentological study is performed to address the issue of incorporating geologic information into the geostatistical characterization process. A field air-minipermeameter is developed for rapid in-situ measurements. The field study conducted on an outcrop of fluvial/interfluvial deposits of the Pliocene- Pleistocene Sierra Ladrones Formation in the Albuquerque Basin of central New Mexico. Architectural element analysis is adopted for mapping and analysis of depositional environment. Geostatistical analysis is performed at two scales. At the architectural element scale, geostatistical analysis of assigned mean log-permeabilities of a 0.16 km{sup 2} peninsular region indicates that the directions of maximum and minimum correlation correspond to the directions of the large-scale depositional processes. At the facies scale, permeability is found to be adequately represented as a log-normal process. Log-permeability within individual lithofacies appears uncorrelated. The overall correlation structure at the facies scale is found to be a function of the mean log-permeability and spatial distribution of the individual lithofacies. Based on field observations of abrupt spatial changes in lithology and hydrologic properties, an algorithm for simulating multi-dimensional discrete Markov random fields. Finally, a conceptual model is constructed relating the information inferred from dimensional environment analysis to the various random fields of heterogeneity.

Phillips, F.M.; Wilson, J.L.; Gutjahr, A.L.; Love, D.W.; Davis, J.M.; Lohmann, R.C.; Colarullo, S.J.; Gotkowitz, M.B.

1992-12-01T23:59:59.000Z

177

A Multivariate Analysis of Freeway Speed and Headway Data  

E-Print Network [OSTI]

key process is the generation of entry vehicle speeds and vehicle arrival times. It is helpful to find desirable mathematical distributions to model individual speed and headway values, because the individual vehicle speed and arrival time...

Zou, Yajie

2013-11-11T23:59:59.000Z

178

Statistics of Molecular Ensemble Blinking Fluorescence  

Science Journals Connector (OSTI)

Statistics of Molecular Ensemble Blinking Fluorescence ... Theoretical expressions suitable for statistical analysis of fluorescence of M molecules are derived. ... Therefore the probability of finding two photons at the same time equals zero. ...

I. S. Osad’ko; A. L. Shchukina

2010-05-19T23:59:59.000Z

179

Statistical Digest No. 70 Fishery Statistics of  

E-Print Network [OSTI]

. These statistics include data on the volume and value of landed catches, employment, quantity of gear operatedStatistical Digest No. 70 Statistics of the United States 1976 Washington National Marine Fisheries Service #12;#12;Statistical Digest No. 70 Fishery Statistics of the United States

180

Parallel auto-correlative statistics with VTK.  

SciTech Connect (OSTI)

This report summarizes existing statistical engines in VTK and presents both the serial and parallel auto-correlative statistics engines. It is a sequel to [PT08, BPRT09b, PT09, BPT09, PT10] which studied the parallel descriptive, correlative, multi-correlative, principal component analysis, contingency, k-means, and order statistics engines. The ease of use of the new parallel auto-correlative statistics engine is illustrated by the means of C++ code snippets and algorithm verification is provided. This report justifies the design of the statistics engines with parallel scalability in mind, and provides scalability and speed-up analysis results for the autocorrelative statistics engine.

Pebay, Philippe Pierre [Kitware, France; Bennett, Janine Camille

2013-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Thresholding Multivariate Regression and Generalized Principal Components  

E-Print Network [OSTI]

the high-dimensional data matrices have been extensively researched for uncorrelated and independent situations, they are much less so for the transposable data matrices. A generalization of principal component analysis and the related weighted least...

Sun, Ranye

2014-03-17T23:59:59.000Z

182

Statistical analysis of COMPTEL maximum likelihood-ratio distributions: evidence for a signal from previously undetected AGN  

SciTech Connect (OSTI)

The maximum likelihood-ratio method is frequently used in COMPTEL analysis to determine the significance of a point source at a given location. In this paper we do not consider whether the likelihood-ratio at a particular location indicates a detection, but rather whether distributions of likelihood-ratios derived from many locations depart from that expected for source free data. We have constructed distributions of likelihood-ratios by reading values from standard COMPTEL maximum-likelihood ratio maps at positions corresponding to the locations of different categories of AGN. Distributions derived from the locations of Seyfert galaxies are indistinguishable, according to a Kolmogorov-Smirnov test, from those obtained from ''random'' locations, but differ slightly from those obtained from the locations of flat spectrum radio loud quasars, OVVs, and BL Lac objects. This difference is not due to known COMPTEL sources, since regions near these sources are excluded from the analysis. We suggest that it might arise from a number of sources with fluxes below the COMPTEL detection threshold.

Williams, O. R.; Bennett, K.; Much, R. [Astrophysics Division, ESTEC, P.O. Box 299, NL-2200 AG Noordwijk (Netherlands); Schoenfelder, V. [Max-Planck Institut fuer Extraterrestrische Physik, P.O. Box 1603, 85740 Garching (Germany); Blom, J. J. [SRON-Utrecht, Sorbonnelaan 2, NL-3584 CA Utrecht (Netherlands); Ryan, J. [Space Science Center, Univ. of New Hampshire, Durham New Hampshire 03824 (United States)

1997-05-10T23:59:59.000Z

183

18.441 Statistical Inference, Spring 2002  

E-Print Network [OSTI]

Reviews probability and introduces statistical inference. Point and interval estimation. The maximum likelihood method. Hypothesis testing. Likelihood-ratio tests and Bayesian methods. Nonparametric methods. Analysis of ...

Hardy, Michael

184

Poisson Statistics by Dr. James E. Parks  

E-Print Network [OSTI]

of this experiment are: (1) to study the Poisson probability distribution as it is applied to counting statistics, (2 on statistical analysis. However, for the measurement of a small number of events, the probability distributionPoisson Statistics by Dr. James E. Parks Department of Physics and Astronomy 401 Nielsen Physics

Dai, Pengcheng

185

Multivariate sexual selection in a rapidly evolving speciation phenotype  

Science Journals Connector (OSTI)

...New York, NY: Rand, McNally and Co. 2 West-Eberhard...x ) 4 Panhuis, TM , R Butlin, M Zuk, and T...Laupala cerasina. Proc. R. Soc. Lond. B 267...Hunt, MD Jennions, and R Brooks. 2006 Complex multivariate...x ) 53 Stinchcombe, JR , AF Agrawal, PA Hohenlohe...

2013-01-01T23:59:59.000Z

186

ess5011 Robert J. Serfling MULTIVARIATE SYMMETRY AND  

E-Print Network [OSTI]

ess5011 Robert J. Serfling MULTIVARIATE SYMMETRY AND ASYMMETRY Robert J. Serfling University by modern group theory. 1 #12;ess5011 Robert J. Serfling Here we focus on the notion of symmetry and s independently distributed as chi-square with m degrees of freedom. 2 #12;ess5011 Robert J. Serfling An important

Serfling, Robert

187

Tail Risk of Multivariate Regular Variation Third Revision, May 2010  

E-Print Network [OSTI]

that the resulting position (X) - X is acceptable to regulators/supervisors. The general theory of coherent riskTail Risk of Multivariate Regular Variation Harry Joe Haijun Li Third Revision, May 2010 Abstract Tail risk refers to the risk associated with extreme values and is often affected by extremal

Li, Haijun

188

SMITH NORMAL FORM OF A MULTIVARIATE MATRIX ASSOCIATED WITH PARTITIONS  

E-Print Network [OSTI]

SMITH NORMAL FORM OF A MULTIVARIATE MATRIX ASSOCIATED WITH PARTITIONS CHRISTINE BESSENRODT polynomials, and by determining not only the deter- minant but also the Smith normal form of these matrices. A priori the Smith form need not exist but its existence follows from the explicit computation

189

Multivariate classification of infrared spectra of cell and tissue samples  

DOE Patents [OSTI]

Multivariate classification techniques are applied to spectra from cell and tissue samples irradiated with infrared radiation to determine if the samples are normal or abnormal (cancerous). Mid and near infrared radiation can be used for in vivo and in vitro classifications using at least different wavelengths.

Haaland, David M. (Albuquerque, NM); Jones, Howland D. T. (Albuquerque, NM); Thomas, Edward V. (Albuquerque, NM)

1997-01-01T23:59:59.000Z

190

Weather data analysis based on typical weather sequence analysis. Application: energy building simulation  

E-Print Network [OSTI]

In building studies dealing about energy efficiency and comfort, simulation software need relevant weather files with optimal time steps. Few tools generate extreme and mean values of simultaneous hourly data including correlation between the climatic parameters. This paper presents the C++ Runeole software based on typical weather sequences analysis. It runs an analysis process of a stochastic continuous multivariable phenomenon with frequencies properties applied to a climatic database. The database analysis associates basic statistics, PCA (Principal Component Analysis) and automatic classifications. Different ways of applying these methods will be presented. All the results are stored in the Runeole internal database that allows an easy selection of weather sequences. The extreme sequences are used for system and building sizing and the mean sequences are used for the determination of the annual cooling loads as proposed by Audrier-Cros (Audrier-Cros, 1984). This weather analysis was tested with the datab...

David, Mathieu; Garde, Francois; Boyer, Harry

2014-01-01T23:59:59.000Z

191

Effects of \\{PAHs\\} and dioxins on the earthworm Eisenia andrei: A multivariate approach for biomarker interpretation  

Science Journals Connector (OSTI)

Abstract In this study, a battery of biomarkers was utilised to evaluate the stress syndrome induced in the earthworm Eisenia andrei by exposure to environmentally realistic concentrations of benzo[a]pyrene (B[a]P) and 2,3,7,8-tetrachlorodibenzo-para-dioxin (TCDD) in OECD soil. The set of tests was then employed to assess the toxicity of field soils contaminated with organic xenobiotic compounds (such as PAHs, dioxins and PCBs). The results highlighted an impairment of immune and metabolic functions and genotoxic damage in worms exposed also to lower bioavailable concentrations of toxic chemicals. Multivariate analysis of biomarker data showed that all different contaminated soils had a detrimental effect on the earthworms. A separation between temporal and concentration factors was also evident for B[a]P and TCDD treatments; and field contaminated soils were further differentiated reflecting a diverse contamination. Multivariate analysis also demonstrated that lysosomal membrane stability can be considered a prognostic indicator for worm health status.

Susanna Sforzini; Michael N. Moore; Marta Boeri; Mauro Bencivenga; Aldo Viarengo

2015-01-01T23:59:59.000Z

192

FISHERY STATISTICS UNITED STATES  

E-Print Network [OSTI]

FISHERY STATISTICS OF THE UNITED STATES 1973 STATISTICAL DIGEST NO. 67 Prepared by STATISTICS a review of the fishery statistics for the year 1973 . These statistics include data on the volume and value of landings of fishery products, employment 1n the fish- eries, quantity of gear operated, number

193

FISHERY STATISTICS UNITED STATES  

E-Print Network [OSTI]

FISHERY STATISTICS OF THE UNITED STATES 1971 STATISTICAL DIGEST NO. 65 Prepared by STATISTICS ry statistics for the year 1971 . These statistics include data on the volume and value of landings of fishery products, employment in the fishe ries, quantity of gear operated, number of fishing craft e

194

Big-Data RHEED analysis for understanding epitaxial film growth processes  

SciTech Connect (OSTI)

Reflection high energy electron diffraction (RHEED) has by now become a standard tool for in-situ monitoring of film growth by pulsed laser deposition and molecular beam epitaxy. Yet despite the widespread adoption and wealth of information in RHEED image, most applications are limited to observing intensity oscillations of the specular spot, and much additional information on growth is discarded. With ease of data acquisition and increased computation speeds, statistical methods to rapidly mine the dataset are now feasible. Here, we develop such an approach to the analysis of the fundamental growth processes through multivariate statistical analysis of RHEED image sequence. This approach is illustrated for growth of LaxCa1-xMnO3 films grown on etched (001) SrTiO3 substrates, but is universal. The multivariate methods including principal component analysis and k-means clustering provide insight into the relevant behaviors, the timing and nature of a disordered to ordered growth change, and highlight statistically significant patterns. Fourier analysis yields the harmonic components of the signal and allows separation of the relevant components and baselines, isolating the assymetric nature of the step density function and the transmission spots from the imperfect layer-by-layer (LBL) growth. These studies show the promise of big data approaches to obtaining more insight into film properties during and after epitaxial film growth. Furthermore, these studies open the pathway to use forward prediction methods to potentially allow significantly more control over growth process and hence final film quality.

Vasudevan, Rama K [ORNL; Tselev, Alexander [ORNL; Baddorf, Arthur P [ORNL; Kalinin, Sergei V [ORNL

2014-01-01T23:59:59.000Z

195

Usage Statistics By Group  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Usage Statistics Usage Statistics Genepool Cluster Statistics Period: daily weekly monthly quarter yearly 2year Utilization By Group Jobs Pending Last edited: 2013-09-26 18:21:13...

196

Multivariate Skew-t Distributions in Econometrics and Environmetrics  

E-Print Network [OSTI]

The syntax for fitting multivariate skew-t regression. . . . . . . . . . 81 22 The syntax for obtaining predictions. . . . . . . . . . . . . . . . . . . 81 23 The syntax for producing goodness-of-fit plots. . . . . . . . . . . . . 81 24 Probability plot... of the participants. In this case, Y ? is subject to incidental truncation or sample selection (e.g., Greene 2008). The problem of sample-selection or, more specifically, sample-selection bias, arises when Y ? and U? are correlated and, thus, must be modeled...

Marchenko, Yulia V.

2012-02-14T23:59:59.000Z

197

An integrated multivariate approach for optimisation of IT/IS investment in conventional power plants  

Science Journals Connector (OSTI)

Several organisations are seeking to determine the impact of Information Technology (IT)/Information Systems (IS) investments on their performance measures. Industrial units such as power plants are not exempt from this issue. This paper presents an integrated multivariate approach for assessment and optimisation of IT/IS investment in conventional power plants. The Data Envelopment Analysis (DEA) approach is used to assess the IT/IS investment impacts on the performance of power plants. Furthermore, Principal Component Analysis (PCA) is used to verify and validate the findings of the DEA approach. IT/IS budget, number of IT/IS employees and number of PCs are used as input variables and total power generation and load factor are used as output variables. The proposed approach is applied to eight power plants and its advantages are discussed. This is the first study that presents a practical tool for policy making and optimisation with respect to IT/IS investment in conventional power plants.

A. Azadeh; A. Keramati; M. Jafari Songhori

2010-01-01T23:59:59.000Z

198

BS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics  

E-Print Network [OSTI]

Statistics for Engineers & Scientists Stat 301 Statistics & Probability for Sec Ed Note: Students who have 240 Discrete Probability Stat 290 Communication of Statistical Results Stat 330 IntroductionBS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics

Olsen Jr., Dan R.

199

E-Print Network 3.0 - analysis techniques part Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Biology Centre, Uppsala University www.ebc.uu.se 1(1) Summary: . Introduction to power analysis, multivariate analysis, resampling and permutation techniques. A short... ....

200

E-Print Network 3.0 - analysis process final Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Series Analysis: Univariate and Multivariate Methods (2nd edition, 2006) by William W.S. Wei... series parameters, ARMA models, trend analysis, model identification,...

Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Statistics | Data.gov  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Statistics Statistics Agriculture Community Menu DATA APPS EVENTS DEVELOPER STATISTICS COLLABORATE ABOUT Agriculture You are here Data.gov » Communities » Agriculture Agricultural and Rural Statistics This website is supported by the Interagency Council on Agricultural and Rural Statistics (ICARS). ICARS is the effort of the US federal government's statistical agencies in support of the "Global Strategy to Improve Agriculture and Rural Statistics" which was developed under the United Nations Statistical Commission. The impetus for the Global Strategy was the recognition that agriculture and rural statistics are declining across the globe at the same time as new data requirements are emerging. The ICARS was established in 2010 with approval from Office of Management

202

Average strain rate in the Italian crust inferred from a permanent GPS network – I. Statistical analysis of the time-series of permanent GPS stations  

Science Journals Connector (OSTI)

......phreatic effects and the height of the water table could play a major role at MEDI...stations caused by common sources, such as atmospheric refraction or mismodelling of the GPS...and the statistics of precision signal generators, Proc. IEEE, 54, 207-220. 3 Becker......

Alessandro Caporali

2003-10-01T23:59:59.000Z

203

Statistical Analysis of Long-Term Monitoring Data for Persistent Organic Pollutants in the Atmosphere at 20 Monitoring Stations Broadly Indicates Declining Concentrations  

Science Journals Connector (OSTI)

Statistically significant trends in synthetic time series could be reliably identified with the improved Mann-Kendall (iMK) test and the digital filtration (DF) technique in time series longer than 5 years. ... Different climate change scenarios were tested, finding noticeable variations in POPs concn. ...

Deguo Kong; Matthew MacLeod; Hayley Hung; Ian T. Cousins

2014-10-08T23:59:59.000Z

204

First Joint Workshop on Statistical Parsing of Morphologically Rich Languages and Syntactic Analysis of Non-Canonical Languages, pages 103109 Dublin, Ireland, August 23-29 2014.  

E-Print Network [OSTI]

a Creative Commons Attribution 4.0 International License. Page numbers and proceedings footer are added.tsarfaty@weizmann.ac.il 1 Introduction This first joint meeting on Statistical Parsing of Morphologically Rich Languages of morpholog- ically rich languages (SPMRL). The goal of the shared task is to allow to train and test

205

Fraud detection in medicare claims: A multivariate outlier detection approach  

SciTech Connect (OSTI)

We apply traditional and customized multivariate outlier detection methods to detect fraud in medicare claims. We use two sets of 11 derived features, and one set of the 22 combined features. The features are defined so that fraudulent medicare providers should tend to have larger features values than non-fraudulent providers. Therefore we have an apriori direction ({open_quotes}large values{close_quotes}) in high dimensional feature space to search for the multivariate outliers. We focus on three issues: (1) outlier masking (Example: the presence of one outlier can make it difficult to detect a second outlier), (2) the impact of having an apriori direction to search for fraud, and (3) how to compare our detection methods. Traditional methods include Mahalanobis distances, (with and without dimension reduction), k-nearest neighbor, and density estimation methods. Some methods attempt to mitigate the outlier masking problem (for example: minimum volume ellipsoid covariance estimator). Customized methods include ranking methods (such as Spearman rank ordering) that exploit the {open_quotes}large is suspicious{close_quotes} notion. No two methods agree completely which providers are most suspicious so we present ways to compare our methods. One comparison method uses a list of known-fraudulent providers. All comparison methods restrict attention to the most suspicious providers.

Burr, T.; Hale, C.; Kantor, M. [and others

1997-04-01T23:59:59.000Z

206

GIS, SPATIAL STATISTICAL GRAPHICS, AND FOREST HEALTH.  

E-Print Network [OSTI]

1 GIS, SPATIAL STATISTICAL GRAPHICS, AND FOREST HEALTH. James J. Majure, Noel Cressie, Dianne Cook, and Jürgen Symanzik ABSTRACT This paper discusses the use of a geographic information systems (GIS), Arcview, into a geographic information system (GIS), Arcview 2.1 (ESRI 1995), and its use in the statistical analysis of spa

Symanzik, Jürgen

207

POSITION OPENING APPLIED STATISTICS  

E-Print Network [OSTI]

: Assistant or Associate Professor of Applied Statistics. Employment Beginning: September 16, 2012 DescriptionPOSITION OPENING APPLIED STATISTICS Department of Decision Sciences Charles H. Lundquist College at the University of Oregon is seeking to fill one tenure-track faculty position in Applied Statistics. Rank

Shepp, Larry

208

Statistical Parametric Speech Synthesis  

E-Print Network [OSTI]

Statistical Parametric Speech Synthesis Heiga Zen Google June 9th, 2014 #12;Outline Background HMM-based statistical parametric speech synthesis (SPSS) Flexibility Improvements Statistical parametric speech synthesis with neural networks Deep neural network (DNN)-based SPSS Deep mixture density network (DMDN

Cortes, Corinna

209

Multivariable robust control of a simulated hybrid solid oxide fuel cell gas turbine plant.  

E-Print Network [OSTI]

??This work presents a systematic approach to the multivariable robust control of a hybrid fuel cell gas turbine plant. The hybrid configuration under investigation built… (more)

Tsai, Alex, 1973-

2007-01-01T23:59:59.000Z

210

Improved Geothermometry Through Multivariate Reaction Path Modeling and Evaluation of Geomicrobiological Influences on Geochemical Temperature Indicators  

Broader source: Energy.gov [DOE]

Improved Geothermometry Through Multivariate Reaction Path Modeling and Evaluation of Geomicrobiological Influences on Geochemical Temperature Indicators presentation at the April 2013 peer review meeting held in Denver, Colorado.

211

Multivariate distributed ensemble generator: A new scheme for ensemble radar precipitation estimation over temperate maritime climate  

Science Journals Connector (OSTI)

Summary It is broadly recognized that large uncertainties are associated with radar rainfall (RR) estimates, which could propagate in the hydrologic forecast system and contaminate its final outcomes. Ensemble generation of probable true rainfall is an elegant and practical solution to characterize the uncertainty of RR estimates and behavior in the hydrologic forecast system. In this study, we have proposed a fully formulated uncertainty model that can statistically quantify the characteristics of the RR errors and their spatial and temporal structure, which is a novel method of its kind in the radar data uncertainty field. The error model is established based on the distribution of gauge rainfall conditioned on radar rainfall (GR|RR). It’s spatial and temporal dependencies are simulated based on the t-copula function. With this proposed error model, a Multivariate Distributed Ensemble Generator (MDEG) driven by the copula and autoregressive filter is designed and applied in the Brue catchment (135 km2), an extensively gauged site in the United Kingdom. The products from MDEG include a time series of ensemble rainfall fields with each of them representing a probable true rainfall. A series of tests show that the ensemble fields generated by MDEG have realistically maintained the spatial and temporal structure of the random error in RR as they have relatively low mean absolute errors (MAEs) of spatio-temporal correlation towards the observed ones. In addition, the results show that the simulated uncertainty bands derived by the 500 realizations of ensemble rainfall encompass most of the reference rain gauge measurements, indicating that the proposed scheme is statistically reliable.

Qiang Dai; Dawei Han; Miguel Rico-Ramirez; Prashant K. Srivastava

2014-01-01T23:59:59.000Z

212

Forward Variance Planning and Modeling of Multi-variant Products  

Science Journals Connector (OSTI)

Abstract Planning multi-variant products in the early stage of the design process is still a challenge. In the present paper, a specification technique is introduced in order to define multi-variant products using degrees of freedom of shape attributes (in the following shape-DoFs) within the product structure. Our goal is to plan variety actively at the beginning of product development and not to describe variety by change of parameter values of the product's components as introduced in variant trees. Shape-DoFs are classified in the fields of shape attributes (dimension, position, shape as well as their combinations) on the one hand and mandatory or optional components on the other hand. Set up on this taxonomy graphical symbols are introduced to be used in product modeling. As application example, a welded pipe rack based upon the assembly structure modeling the product structure in this way is visualized in the first step. The second step is to translate the shape-DoFs into design parameters and identify relationships between them. The result is a parameter plan, as well as a configuration concept. Both can be seen as basis for CAD-modeling the product as design template which is the third step. In case of our example, Autodesk Inventor (without the ETO-Environment) is used to create the CAD-data. Discussing the effects of the proposed method, it will be shown that different shape-DoFs may cause various impacts in the whole product development process. Regarding these effects, scenarios can be performed in order to identify the cost and resource optimal variation possibilities of the product. In addition, it will be shown that different kinds of modularity according to PINE (e.g. cut-to-fit-modularity) can be predefined in the product model by using shape-DoFs

Paul Christoph Gembarski; Roland Lachmayer

2014-01-01T23:59:59.000Z

213

Pricing statistics sourcebook. 5. edition  

SciTech Connect (OSTI)

Thousands of historical and current prices for crude oil, NGL, petroleum products, natural gas and electric power are presented in easy to read tables. The book includes spot, posted and future prices; prices by state and by country; and monthly and annual prices. Most monthly price series go back 25 years. This comprehensive source for energy industry prices is a must for anyone involved in planning and budgeting. The Pricing Statistics Sourcebook has all of the essential key energy price statistics needed for analysis of the US and international oil and gas industries. Also include: an appendix of IEA, OECD and OPEC member lists, conversion factors heat content of fuels; and major events affecting the oil and gas industry since 1859. The book includes a summary analysis of significant changes in key data series written by Bob Beck, Economics Editor of the Oil and Gas Journal.

NONE

1999-11-01T23:59:59.000Z

214

Teaching Multivariable Control Using the Quadruple-Tank Process1 2  

E-Print Network [OSTI]

Teaching Multivariable Control Using the Quadruple-Tank Process1 2 Karl Henrik Johanssony course. The process is called the Quadruple-Tank Process and demonstrates a multivariable level control by simply changing a valve. This makes the Quadruple- Tank Process suitable for illustrating many concepts

Johansson, Karl Henrik

215

Course information Department of Mathematics and Statistics  

E-Print Network [OSTI]

' is allowed, check the FAQ. Mathematical software: In lectures, MATLAB and MAPLE will be used sets, linear dependence and independence, basis, dimension, rank of a matrix. · Eigenvectors; types of solutions. · Multivariable differentiation. Graphs of multivariable functions, tangent planes

Hickman, Mark

216

Practical Statistical Thinking Probability: The Language of Statistics  

E-Print Network [OSTI]

Practical Statistical Thinking Probability: The Language of Statistics Essentials of Statistics and Probability Dhruv Sharma May 22, 2007 Department of Statistics, NC State University dbsharma@ncsu.edu SAMSI Undergrad Workshop Dhruv Sharma Essentials of Statistics and Probability #12;Practical Statistical Thinking

217

Key World Energy Statistics-2010 | Open Energy Information  

Open Energy Info (EERE)

Energy Statistics-2010 AgencyCompany Organization: International Energy Agency Sector: Energy Topics: Market analysis Resource Type: Dataset, Maps Website: www.iea.orgtextbase...

218

Assessing the reliability of web-based statistical software  

E-Print Network [OSTI]

1 Assessing the reliability of web-based statistical software A. M. Kitchen, R. Drachenberg, J and Technology were used to evaluate the accuracy and precision of two web-based statistical packages, Web and is double precision in WebStat). For most statistical analysis needs, the level of accuracy found in Web

Symanzik, Jürgen

219

FY 2005 Statistical Table  

Broader source: Energy.gov (indexed) [DOE]

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) Table of Contents Summary...................................................................................................... 1 Mandatory Funding....................................................................................... 3 Energy Supply.............................................................................................. 4 Non-Defense site acceleration completion................................................... 6 Uranium enrichment D&D fund.................................................................... 6 Non-Defense environmental services.......................................................... 6 Science.........................................................................................................

220

LCLS Publications: Statistics  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

LCLS Publications: Statistics LCLS Publications: Statistics Sign In Launch the Developer Dashboard SLAC National Accelerator Laboratory DOE | Stanford | SLAC | SSRL | LCLS | AD | PPA | Photon Science | PULSE | SIMES LCLS : LCLS Publications: Statistics Linac Coherent Light Source An Office of Science User Facility Search this site... Search Help (new window) Top Link Bar LCLS Lasers Expand Lasers LCLS Quick Launch Home About LCLS Expand About LCLS LCLS News Expand LCLS News User Resources Expand User Resources Instruments Expand Instruments Proposals Publications Expand Publications Schedules Machine Status Machine FAQs Safety Organization Expand Organization Directories Expand Directories Staff Resources Contact Us All Site Content Department of Energy Page Content LCLS Publications: Statistics 2013 | 2012 | 2011 | 2010 | 2009 | Archive | Citations | Statistics

Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Forensic Discrimination of Automotive Paint Samples Using Pyrolysis-Gas Chromatography–Mass Spectrometry with Multivariate Statistics  

Science Journals Connector (OSTI)

......Analytical pyrolysis-gas chromatography (Py-GC...Analytical pyrolysis-gas chromatography (Py-GC...development, pyrolysis-gas chromatography (Py...considerations, such as lower cost, can lead one to change...does not vary between production sites, subtle differences......

Brian K. Kochanowski; Stephen L. Morgan

2000-03-01T23:59:59.000Z

222

No Evidence of Gene–Calcium Interactions from Genome-Wide Analysis of Colorectal Cancer Risk  

Science Journals Connector (OSTI)

...intake (from dietary or supplemental sources) in 9,006 colorectal cancer cases and 9,503 controls of European ancestry. To test for multiplicative interactions, we used multivariable logistic regression and defined statistical significance using the conventional...

Mengmeng Du; Xuehong Zhang; Michael Hoffmeister; Robert E. Schoen; John A. Baron; Sonja I. Berndt; Hermann Brenner; Christopher S. Carlson; Graham Casey; Andrew T. Chan; Keith R. Curtis; David Duggan; W. James Gauderman; Edward L. Giovannucci; Jian Gong; Tabitha A. Harrison; Richard B. Hayes; Brian E. Henderson; John L. Hopper; Li Hsu; Thomas J. Hudson; Carolyn M. Hutter; Mark A. Jenkins; Shuo Jiao; Jonathan M. Kocarnik; Laurence N. Kolonel; Loic Le Marchand; Yi Lin; Polly A. Newcomb; Anja Rudolph; Daniela Seminara; Mark D. Thornquist; Cornelia M. Ulrich; Emily White; Kana Wu; Brent W. Zanke; Peter T. Campbell; Martha L. Slattery; Ulrike Peters; Jenny Chang-Claude; John D. Potter

223

Topology for statistical modeling of petascale data.  

SciTech Connect (OSTI)

This document presents current technical progress and dissemination of results for the Mathematics for Analysis of Petascale Data (MAPD) project titled 'Topology for Statistical Modeling of Petascale Data', funded by the Office of Science Advanced Scientific Computing Research (ASCR) Applied Math program. Many commonly used algorithms for mathematical analysis do not scale well enough to accommodate the size or complexity of petascale data produced by computational simulations. The primary goal of this project is thus to develop new mathematical tools that address both the petascale size and uncertain nature of current data. At a high level, our approach is based on the complementary techniques of combinatorial topology and statistical modeling. In particular, we use combinatorial topology to filter out spurious data that would otherwise skew statistical modeling techniques, and we employ advanced algorithms from algebraic statistics to efficiently find globally optimal fits to statistical models. This document summarizes the technical advances we have made to date that were made possible in whole or in part by MAPD funding. These technical contributions can be divided loosely into three categories: (1) advances in the field of combinatorial topology, (2) advances in statistical modeling, and (3) new integrated topological and statistical methods.

Pascucci, Valerio (University of Utah, Salt Lake City, UT); Mascarenhas, Ajith Arthur; Rusek, Korben (Texas A& M University, College Station, TX); Bennett, Janine Camille; Levine, Joshua (University of Utah, Salt Lake City, UT); Pebay, Philippe Pierre; Gyulassy, Attila (University of Utah, Salt Lake City, UT); Thompson, David C.; Rojas, Joseph Maurice (Texas A& M University, College Station, TX)

2011-07-01T23:59:59.000Z

224

Effects of Bond Stretching on Polymer Statistics  

Science Journals Connector (OSTI)

Effects of Bond Stretching on Polymer Statistics ... When a system becomes strained, longer chain end-to-end separations become more probable and the assumptions that go into the Gaussian chain model are no longer valid. ... The associated probability distribution attaches too much weight to the probabilities at larger end-to-end separations, and a statistical analysis based on this distribution would unrealistically overemphasize the contributions of these longer chains. ...

Gary G. Hoffman

1999-08-10T23:59:59.000Z

225

Statistical Analysis of Current Helicity and Twist in Solar Active Regions over the Phases of the Solar Cycle Using the Spectro-Polarimeter Data of Hinode  

E-Print Network [OSTI]

Current helicity and twist of solar magnetic fields are important quantities to characterize the dynamo mechanism working in the convection zone of the Sun. We have carried out a statistical study on the current helicity of solar active regions observed with the Spectro-Polarimeter (SP) of Hinode Solar Optical Telescope (SOT). We used SOT-SP data of 558 vector magnetograms of a total of 80 active regions obtained from 2006 to 2012. We have applied spatial smoothing and division of data points into weak and strong field ranges to compare the contributions from different scales and field strengths. We found that the current helicity follows the so-called hemispheric sign rule when the weak magnetic fields (absolute field strength $< 300$ gauss) are considered and no smoothing is applied. On the other hand, the pattern of current helicity fluctuates and violates the hemispheric sign rule when stronger magnetic fields are considered and the smoothing of 2.0 arcsec (mimicking ground-based observations) is appli...

Otsuji, Kenichi; Kuzanyan, Kirill

2014-01-01T23:59:59.000Z

226

SDI: Statistical dynamic interactions  

SciTech Connect (OSTI)

We focus on the combined statistical and dynamical aspects of heavy ion induced reactions. The overall picture is illustrated by considering the reaction {sup 36}Ar + {sup 238}U at a projectile energy of 35 MeV/nucleon. We illustrate the time dependent bound excitation energy due to the fusion/relaxation dynamics as calculated with the Boltzmann master equation. An estimate of the mass, charge and excitation of an equilibrated nucleus surviving the fast (dynamic) fusion-relaxation process is used as input into an evaporation calculation which includes 20 heavy fragment exit channels. The distribution of excitations between residue and clusters is explicitly calculated, as is the further deexcitation of clusters to bound nuclei. These results are compared with the exclusive cluster multiplicity measurements of Kim et al., and are found to give excellent agreement. We consider also an equilibrated residue system at 25% lower initial excitation, which gives an unsatisfactory exclusive multiplicity distribution. This illustrates that exclusive fragment multiplicity may provide a thermometer for system excitation. This analysis of data involves successive binary decay with no compressional effects nor phase transitions. Several examples of primary versus final (stable) cluster decay probabilities for an A = 100 nucleus at excitations of 100 to 800 MeV are presented. From these results a large change in multifragmentation patterns may be understood as a simple phase space consequence, invoking neither phase transitions, nor equation of state information. These results are used to illustrate physical quantities which are ambiguous to deduce from experimental fragment measurements. 14 refs., 4 figs.

Blann, M.; Mustafa, M.G. (Lawrence Livermore National Lab., CA (USA)); Peilert, G.; Stoecker, H.; Greiner, W. (Frankfurt Univ. (Germany, F.R.). Inst. fuer Theoretische Physik)

1991-04-01T23:59:59.000Z

227

The M.Sc. in Statistics is aimed at students who have an undergraduate degree in Statistics or a degree in a discipline related to Statistics and with numerate  

E-Print Network [OSTI]

. Former M.Sc. in Statistics students have found employment in industry, government, IT, economics statistical reasoning, techniques and models in the analysis of real data and employ technical computingThe M.Sc. in Statistics is aimed at students who have an undergraduate degree in Statistics

228

AMERICAN STATISTICAL ASSOCIATION (ASA)  

U.S. Energy Information Administration (EIA) Indexed Site

AMERICAN STATISTICAL ASSOCIATION (ASA) AMERICAN STATISTICAL ASSOCIATION (ASA) MEETING OF THE COMMITTEE ON ENERGY STATISTICS WITH THE ENERGY INFORMATION ADMINISTRATION (EIA) Washington, D.C. Friday, April 29, 2005 COMMITTEE MEMBERS: NICOLAS HENGARTNER, Chair Los Alamos National Laboratory MARK BERNSTEIN RAND Corporation CUTLER CLEVELAND Center for Energy and Environmental Studies JAE EDMONDS Pacific Northwest National Laboratory MOSHE FEDER Research Triangle Institute BARBARA FORSYTH Westat WALTER HILL St. Mary's College of Maryland NEHA KHANNA Binghamton University NAGARAJ K. NEERCHAL University of Maryland Baltimore County SUSAN M. SEREIKA University of Pittsburgh DARIUS SINGPURWALLA LECG RANDY R. SITTER Simon Fraser University ALSO PRESENT: MARGOT ANDERSON Energy Information Administration ALSO PRESENT (CONT'D):

229

International Energy Statistics  

Gasoline and Diesel Fuel Update (EIA)

> Countries > International Energy Statistics > Countries > International Energy Statistics International Energy Statistics Petroleum Production| Annual Monthly/Quarterly Consumption | Annual Monthly/Quarterly Capacity | Bunker Fuels | Stocks | Annual Monthly/Quarterly Reserves | Imports | Annual Monthly/Quarterly Exports | CO2 Emissions | Heat Content Natural Gas All Flows | Production | Consumption | Reserves | Imports | Exports | Carbon Dioxide Emissions | Heat Content Coal All Flows | Production | Consumption | Reserves | Imports | Exports | Carbon Dioxide Emissions | Heat Content Electricity Generation | Consumption | Capacity | Imports | Net Imports | Exports | Distribution Losses | Heat Content Renewables Electricity Generation| Electricity Consumption | Biofuels Production | Biofuels Consumption | Heat Content Total Energy

230

AMERICAN STATISTICAL ASSOCIATION  

U.S. Energy Information Administration (EIA) Indexed Site

AMERICAN STATISTICAL ASSOCIATION AMERICAN STATISTICAL ASSOCIATION + + + + + COMMITTEE ON ENERGY STATISTICS + + + + + FALL MEETING + + + + + FRIDAY OCTOBER 17, 2003 + + + + + The Committee met in Room 8E089 in the Forrestal Building, 1000 Independence Avenue, S.W., Washington, D.C., at 8:30 a.m., Jay Breidt, Chair, presiding. PRESENT F. JAY BREIDT Chair NICOLAS HENGARTNER Vice Chair JOHNNY BLAIR Committee Member MARK BURTON Committee Member JAE EDMONDS Committee Member MOSHE FEDER Committee Member JAMES K. HAMMITT Committee Member NEHA KHANA Committee Member NAGARAJ K. NEERCHAL Committee Member

231

Financial Statistics: Expenditure  

Science Journals Connector (OSTI)

While public attention is usually focussed on one category of expenditure viz Rate Fund expenditure-both revenue and capital (see section 3.3)-it is ... financial statistics to realise that the term “expenditure”...

J. M. Gillespie

1988-01-01T23:59:59.000Z

232

NREL: Energy Analysis - Philipp Beiter  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Regulatory policy Data analysis and statistical modeling Primary research interests Electricity markets Utility business models for distributed generation Regulatory analysis...

233

Identifying evolving multivariate dynamics in individual and cohort time series, with application to physiological control systems  

E-Print Network [OSTI]

Physiological control systems involve multiple interacting variables operating in feedback loops that enhance an organism's ability to self-regulate and respond to internal and external disturbances. The resulting multivariate ...

Nemati, Shamim, 1980-

2013-01-01T23:59:59.000Z

234

Multi-variate joint PDF for non-Gaussianities: exact formulation and generic approximations  

SciTech Connect (OSTI)

We provide an exact expression for the multi-variate joint probability distribution function of non-Gaussian fields primordially arising from local transformations of a Gaussian field. This kind of non-Gaussianity is generated in many models of inflation. We apply our expression to the non-Gaussianity estimation from Cosmic Microwave Background maps and the halo mass function where we obtain analytical expressions. We also provide analytic approximations and their range of validity. For the Cosmic Microwave Background we give a fast way to compute the PDF which is valid up to more than 7? for f{sub NL} values (both true and sampled) not ruled out by current observations, which consists of expressing the PDF as a combination of bispectrum and trispectrum of the temperature maps. The resulting expression is valid for any kind of non-Gaussianity and is not limited to the local type. The above results may serve as the basis for a fully Bayesian analysis of the non-Gaussianity parameter.

Verde, Licia; Jimenez, Raul [ICREA and ICC, Instituto de Ciencias del Cosmos, University of Barcelona (IEEC-UB), Marti i Franques 1, Barcelona 08028 (Spain); Alvarez-Gaume, Luis [Theory Group, Physics Department, CERN, CH-1211, Geneva 23 (Switzerland); Heavens, Alan F. [Imperial Centre for Inference and Cosmology, Imperial College, Blackett Laboratory, Prince Consort Road, London SW7 2AZ U.K. (United Kingdom); Matarrese, Sabino, E-mail: liciaverde@icc.ub.edu, E-mail: raul.jimenez@icc.ub.edu, E-mail: luis.alvarez-gaume@cern.ch, E-mail: a.heavens@imperial.ac.uk, E-mail: sabino.matarrese@pd.infn.it [Dipartimento di Fisica e Astronomia G. Galilei, Universitá degli Studi di Padova, I-35131 Padova (Italy)

2013-06-01T23:59:59.000Z

235

A method for gene-based pathway analysis using genomewide association study summary statistics reveals nine new type 1 diabetes associations  

E-Print Network [OSTI]

steps of conducting a gene-based pathway analysis is the assignment of SNPs to genes. Our assignment was based on autosomal protein coding genes downloaded from Ensembl (Flicek et al. [2013], October, 2012) human assembly build GRCh37. SNPs were mapped... of this GWAS were recruited by the WTCCC in collaboration with the UK Blood Services and the other 1,868 controls are patients with bipolar disorder included in the WTCCC study. The individuals of this study were genotyped on the Affymetrix 500K Chip. The T1DGC...

Evangelou, Marina; Smyth, Deborah J.; Fortune, Mary D.; Burren, Oliver S.; Walker, Neil M.; Guo, Hui; Onengut-Gumuscu, Suna; Chen, Wei-Min; Concannon, Patrick; Rich, Stephen S.; Todd, John A.; Wallace, Chris

2014-01-01T23:59:59.000Z

236

FAULT DETECTION IN NUCLEAR POWER PLANTS COMPONENTS BY A COMBINATION OF STATISTICAL METHODS  

E-Print Network [OSTI]

FAULT DETECTION IN NUCLEAR POWER PLANTS COMPONENTS BY A COMBINATION OF STATISTICAL METHODS Independent Component Analysis nc Normal conditions NPP Nuclear Power Plant PCA Principal Component Analysis

Paris-Sud XI, Université de

237

Statistics 712: Applied Statistical Decision Theory Spring 1999 Syllabus  

E-Print Network [OSTI]

1 Statistics 712: Applied Statistical Decision Theory Spring 1999 Syllabus Robert Stine stine of many things (issues of multiplicity, Bonferroni) � Bayesian decision theory � Regression modeling of statistical methods and value of statistical perspectives in practical decision making. Some decisions

Stine, Robert A.

238

FY 2013 Statistical Table  

Broader source: Energy.gov (indexed) [DOE]

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2011 FY 2012 FY 2013 Current Enacted Congressional Approp. Approp. * Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy........................................ 1,771,721 1,809,638 2,337,000 +527,362 +29.1% Electricity delivery and energy reliability......................................... 138,170 139,103 143,015 +3,912 +2.8% Nuclear energy................................................................................ 717,817 765,391 770,445 +5,054 +0.7% Fossil energy programs Clean coal technology.................................................................. -16,500 -- --

239

FY 2009 Statistical Table  

Broader source: Energy.gov (indexed) [DOE]

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2007 FY 2008 FY 2009 Current Current Congressional Op. Plan Approp. Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy.......................... -- 1,722,407 1,255,393 -467,014 -27.1% Electricity delivery and energy reliability........................... -- 138,556 134,000 -4,556 -3.3% Nuclear energy................................................................. -- 961,665 853,644 -108,021 -11.2% Legacy management........................................................ -- 33,872 -- -33,872 -100.0% Energy supply and conservation Operation and maintenance..........................................

240

Topics on Regularization of Parameters in Multivariate Linear Regression  

E-Print Network [OSTI]

are selected. Estimating the degrees of freedom when penalizing the entries of the matrices presents new computational challenges. A simulation study and real data analysis demonstrate that the MRCEII, which selects the tuning parameter of the precision matrix...

Chen, Lianfu

2012-02-14T23:59:59.000Z

Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

STATISTICS OF TELEGONY  

Science Journals Connector (OSTI)

...could be turned to other uses; and the energy of those men who toil so ceaselessly at...I had worked out my plan on a smaller sheet of paper it was enlarged into the chart...statistical study of the degrees of resem-blance of children to fathers rests more on mathe-matical...

Karl Pearson

1909-10-01T23:59:59.000Z

242

MATHEMATICS AND STATISTICS  

E-Print Network [OSTI]

MATHEMATICS AND STATISTICS Canterbury The UK's European university Undergraduate study #12;2 ACADEMIC EXCELLENCE AND INSPIRATIONAL TEACHING Much of science is based upon the application of mathematics as for computer science. New discoveries within mathematics affect not only science, but also our general

Banaji,. Murad

243

Indicators: Performance Statistics  

E-Print Network [OSTI]

% Quality Inspections Completed 66% +12% 95% 86% 95% 52% 81% 51% 76% Utilities: Performance Statistics of performance measures and specific color code target values. Trend status color indicators ­ identifies changes from the prior month: Key: - 54% Electric - 0% All Zones Combined Zone Breakdown Steam/Chilled Water 0

Webb, Peter

244

Thermodynamics and statistical mechanics  

Science Journals Connector (OSTI)

... IN this book, Professor Landsberg brings together thermodynamics and statistical mechanics to provide a coherent account of these interrelated branches of physical theory ... side usually result in the essential structures of both becoming obscured. The value of classical thermodynamics lies in what it can do without invoking microscopic models and it is best learnt ...

C.J. Adkins

1979-12-20T23:59:59.000Z

245

Computational and statistical tradeoffs via convex relaxation  

E-Print Network [OSTI]

5, 2013 (sent for review November 27, 2012) Modern massive datasets create a fundamental problem on data analysis that blend computer science and statistics. That classical perspectives from these fields are not adequate to address emerging problems in "Big Data" is ap- parent from their sharply divergent nature

246

Analysis of close seam interaction problems in the Appalachian coal fields  

SciTech Connect (OSTI)

Mining into strata disturbed by previous mining operations either above or below may sometimes result in severe strata control problems. These interaction problems, associated with most multiple-seam mining operations, are very common in the Appalachian coal region and are the subject of this dissertation. On the basis of both theoretical and empirical analyses, using statistical analysis, numerical modeling, and photoelastic modeling methods in conjunction with the analysis of numerous case studies, a comprehensive, integrated model has been constructed and represented by a computer program called MSEAM. Using this comprehensive model, possible interaction problems under certain geological and mining conditions can be first predicted based on rules determined either empirically or statistically. Then, detailed analyses using different interaction mechanisms - pillar load transfer, arching effect, upper seam subsidence, innerburden bending, and innerburden shearing - can further determine the area or degree of possible interaction in both under- and over-mining situations. Special geologic and mining factors controlling interaction are also summarized by indices for an independent interaction prediction. This integrated model has been validated by back-analysis of several case studies. Full descriptions of multivariate statistical analysis, photoelastic modeling technique, quantization of various interaction mechanisms, and development of the comprehensive model are included.

Wu, W.

1987-01-01T23:59:59.000Z

247

Statistics for nuclear engineers and scientists. Part 1. Basic statistical inference  

SciTech Connect (OSTI)

This report is intended for the use of engineers and scientists working in the nuclear industry, especially at the Bettis Atomic Power Laboratory. It serves as the basis for several Bettis in-house statistics courses. The objectives of the report are to introduce the reader to the language and concepts of statistics and to provide a basic set of techniques to apply to problems of the collection and analysis of data. Part 1 covers subjects of basic inference. The subjects include: descriptive statistics; probability; simple inference for normally distributed populations, and for non-normal populations as well; comparison of two populations; the analysis of variance; quality control procedures; and linear regression analysis.

Beggs, W.J.

1981-02-01T23:59:59.000Z

248

Design and application of multivariate CUSUM for quality monitoring of ready mixed concrete  

Science Journals Connector (OSTI)

Multivariate CUSUM control charts provide a unified scheme to monitor process mean and variability when there are multiple processes that need to be monitored to track the problem causing a change in the quality characteristic of the process. This paper aims at developing a set of multivariate CUSUM control charts for monitoring the quality of ready mixed concrete. On analysing available grades of concrete produced by two commercial batching plants in Ahmedabad, India, it has been observed that after application of multivariate CUSUM control charts along with V mask, if the identified point is the same for three or more quality characteristic then definitely there is a strong indication about occurrence of a problem at that point. The root cause investigation at the identified point would reveal the cause of the change in strength. The remedial action would be to modify the mix design and improve the quality of materials and workmanship.

Debasis Sarkar; Biswajit Bhattacharjee

2014-01-01T23:59:59.000Z

249

FY 2006 Statistical Table  

Broader source: Energy.gov (indexed) [DOE]

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2004 FY 2005 FY 2006 Comparable Comparable Request to FY 2006 vs. FY 2005 Approp Approp Congress Discretionary Summary By Appropriation Energy And Water Development Appropriation Summary: Energy Programs Energy supply Operation and maintenance................................................. 787,941 909,903 862,499 -47,404 -5.2% Construction......................................................................... 6,956 22,416 40,175 17,759 +79.2% Total, Energy supply................................................................ 794,897 932,319 902,674 -29,645 -3.2% Non-Defense site acceleration completion............................. 167,272 157,316 172,400 15,084 +9.6%

250

FY 2010 Statistical Table  

Broader source: Energy.gov (indexed) [DOE]

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2008 FY 2009 FY 2009 FY 2010 Current Current Current Congressional Approp. Approp. Recovery Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy....................................... 1,704,112 2,178,540 16,800,000 2,318,602 +140,062 +6.4% Electricity delivery and energy reliability........................................ 136,170 137,000 4,500,000 208,008 +71,008 +51.8% Nuclear energy.............................................................................. 960,903 792,000 -- 761,274 -30,726 -3.9% Legacy management..................................................................... 33,872 -- -- --

251

FY 2012 Statistical Table  

Broader source: Energy.gov (indexed) [DOE]

2Statistical Table by Appropriation 2Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2010 FY 2011 FY 2011 FY 2012 Current Congressional Annualized Congressional Approp. Request CR Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy....................................... 2,216,392 2,355,473 2,242,500 3,200,053 +983,661 +44.4% Electricity delivery and energy reliability........................................ 168,484 185,930 171,982 237,717 +69,233 +41.1% Nuclear energy............................................................................. 774,578 824,052 786,637 754,028 -20,550 -2.7% Fossil energy programs Fossil energy research and development................................... 659,770 586,583 672,383 452,975

252

FY 2007 Statistical Table  

Broader source: Energy.gov (indexed) [DOE]

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2005 FY 2006 FY 2007 Current Current Congressional Approp. Approp. Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy supply and conservation Operation and maintenance............................................ 1,779,399 1,791,372 1,917,331 +125,959 +7.0% Construction................................................................... 22,416 21,255 6,030 -15,225 -71.6% Total, Energy supply and conservation.............................. 1,801,815 1,812,627 1,923,361 +110,734 +6.1% Fossil energy programs Clean coal technology..................................................... -160,000 -20,000 -- +20,000 +100.0% Fossil energy research and development.......................

253

FY 2008 Statistical Table  

Broader source: Energy.gov (indexed) [DOE]

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2006 FY 2007 FY 2008 Current Congressional Congressional Approp. Request Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy supply and conservation Operation and maintenance........................................... 1,781,242 1,917,331 2,187,943 +270,612 +14.1% Construction.................................................................... 31,155 6,030 -- -6,030 -100.0% Total, Energy supply and conservation............................. 1,812,397 1,923,361 2,187,943 +264,582 +13.8% Fossil energy programs Clean coal technology.................................................... -20,000 -- -58,000 -58,000 N/A Fossil energy research and development......................

254

statistical | OpenEI  

Open Energy Info (EERE)

statistical statistical Dataset Summary Description No description given. Source World Bank Date Released Unknown Date Updated Unknown Keywords coal energy imports energy production energy use fossil fuels Fuel global Hydroelectric international nuclear oil renewables statistical statistics world bank Data application/zip icon Data in XML Format (zip, 1 MiB) application/zip icon Data in Excel Format (zip, 1.3 MiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period 1970 - 2007 License License Other or unspecified, see optional comment below Comment Summary of Usage Terms ---------------------- You are free to copy, distribute, adapt, display or include the data in other products for commercial and noncommercial purposes at no cost subject to certain limitations summarized below. You must include attribution for the data you use in the manner indicated in the metadata included with the data. You must not claim or imply that The World Bank endorses your use of the data by or use The World Bank's logo(s) or trademark(s) in conjunction with such use. Other parties may have ownership interests in some of the materials contained on The World Bank Web site. For example, we maintain a list of some specific data within the Datasets that you may not redistribute or reuse without first contacting the original content provider, as well as information regarding how to contact the original content provider. Before incorporating any data in other products, please check the list: Terms of use: Restricted Data. The World Bank makes no warranties with respect to the data and you agree The World Bank shall not be liable to you in connection with your use of the data. Links ----- Summary of Terms: http://data.worldbank.org/summary-terms-of-use Detailed Usage Terms: http://www.worldbank.org/terms-datasets

255

DCO Operations Interesting Statistics  

E-Print Network [OSTI]

DCO Operations Interesting Statistics 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 Chart by: HANDS DOWN SOFTWARE, www.handsdownsoftware.com 1.00 0.95 0.90 0.85 0.80 0.75 0.70 0.65 0.60 0 is annotated with the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE

256

Design and performance of a scalable, parallel statistics toolkit.  

SciTech Connect (OSTI)

Most statistical software packages implement a broad range of techniques but do so in an ad hoc fashion, leaving users who do not have a broad knowledge of statistics at a disadvantage since they may not understand all the implications of a given analysis or how to test the validity of results. These packages are also largely serial in nature, or target multicore architectures instead of distributed-memory systems, or provide only a small number of statistics in parallel. This paper surveys a collection of parallel implementations of statistics algorithm developed as part of a common framework over the last 3 years. The framework strategically groups modeling techniques with associated verification and validation techniques to make the underlying assumptions of the statistics more clear. Furthermore it employs a design pattern specifically targeted for distributed-memory parallelism, where architectural advances in large-scale high-performance computing have been focused. Moment-based statistics (which include descriptive, correlative, and multicorrelative statistics, principal component analysis (PCA), and k-means statistics) scale nearly linearly with the data set size and number of processes. Entropy-based statistics (which include order and contingency statistics) do not scale well when the data in question is continuous or quasi-diffuse but do scale well when the data is discrete and compact. We confirm and extend our earlier results by now establishing near-optimal scalability with up to 10,000 processes.

Thompson, David C.; Bennett, Janine Camille; Pebay, Philippe Pierre

2010-11-01T23:59:59.000Z

257

Order relations and prior distributions in the estimation of multivariate normal parameters with partial data  

E-Print Network [OSTI]

ORDER RELATIONS AND PRIOR DISTRIBU 'IONS IN 1:-IE ESTXYJiTION OF MULTIVARIATE NOPSLAL PARAI'E&iTiS NI~N PARTIAL DATA A Thesis by ABDUL MAJID HA?ZA AL-NASZR Submitt d o the Grad. nate College oi' Texas UM Univ rsity in partial fu' fillment . f... as to style and content by: Chairman oi Committee Head oF Department ?'? Aug st 1968 ABS ~~CT Order Relations and Prior Distributions in the Bstimation of Multivariate Normal Parameters with Part'al Data. (August 1)68) Abdul Madrid Hamza Al-N!asir B...

Al-Nasir, Abdul Majid Hamza

2012-06-07T23:59:59.000Z

258

New likelihoods for shape analysis  

E-Print Network [OSTI]

We introduce a new kind of likelihood function based on the sequence of moments of the data distribution. Both binned and unbinned data samples are discussed, and the multivariate case is also derived. Building on this approach we lay out the formalism of shape analysis for signal searches. In addition to moment-based likelihoods, standard likelihoods and approximate statistical tests are provided. Enough material is included to make the paper self-contained from the perspective of shape analysis. We argue that the moment-based likelihoods can advantageously replace unbinned standard likelihoods for the search of non-local signals, by avoiding the step of fitting Monte-Carlo generated distributions. This benefit increases with the number of variables simultaneously analyzed. The moment-based signal search is exemplified and tested in various 1D toy models mimicking typical high-energy signal--background configurations. Moment-based techniques should be particularly appropriate for the searches for effective operators at the LHC.

Sylvain Fichet

2014-07-03T23:59:59.000Z

259

Statistical pert analysis using integral operators  

E-Print Network [OSTI]

of Optimization Algorithm. IV CONCLUSIONS AND SUMMARY. 23 25 27 BIBLIOGRAPHY' 29 VITA. 30 vi LIST OF FIGURES Figure Page 2. 1 Activities In Parallel. 2. 2 Activities In Series. 2. 3 2. 4 Wheatstone Bridge Double Wheatstone Bridge. 10 10 2. 5...] extended Hartley and Wortham's method by developing integral operators for activities in double wheatstone bridges and in different types of crise-crosses. Ringer [8] also developed integral operators for activities whose completion times...

Ohlendorf, Curtis Gilbert

1969-01-01T23:59:59.000Z

260

Parameterization and Statistical Analysis of Hurricane Waves  

E-Print Network [OSTI]

delineation. Application to Corpus Christi, TX. Figure and method by PhD student Chih-Hung Hsu (AaronHsu@tamu.edu). ..………………………..… 83 Figure 5.5 SRF zones for Panama City, FL. Each zone has a corresponding... damaged and forcing nine oil refineries to close (U.S. Department of Commerce 2006). One of the major reasons for the extensive     2   damage during hurricane Katrina was the high surge levels seen in low lying cities such as New Orleans, many...

Mclaughlin, Patrick William

2014-05-03T23:59:59.000Z

Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Statistical analysis of palaeomagnetic inclination data  

Science Journals Connector (OSTI)

......L.A., 1964. Handbook of mathematical functions...Sometimes these restorations cannot be made...calculations we need the power series, x2 x4 4...choice of coordinate system. The product of...L.A., 1964. Handbook of mathematical functions......

Randolph J. Enkin; Geoffrey S. Watson

1996-08-01T23:59:59.000Z

262

International petroleum statistics report  

SciTech Connect (OSTI)

The International Petroleum Statistics Report is a monthly publication that provides current international oil data. This report presents data on international oil production, demand, imports, exports and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). Section 2 presents an oil supply/demand balance for the world, in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries.

NONE

1995-10-01T23:59:59.000Z

263

Median Statistics, H0, and the  

Science Journals Connector (OSTI)

We develop median statistics that provide powerful alternatives to ?2 likelihood methods and require fewer assumptions about the data. Application to astronomical data demonstrates that median statistics lead to results that are quite similar and almost as constraining as ?2 likelihood methods but with somewhat more confidence since they do not assume Gaussianity of the errors or that their magnitudes are known. Applying median statistics to Huchra's compilation of nearly all estimates of the Hubble constant, we find a median value H0 = 67 km s-1 Mpc-1. Median statistics assume only that the measurements are independent and free of systematic errors. This estimate is arguably the best summary of current knowledge because it uses all available data and, unlike other estimates, makes no assumption about the distribution of measurement errors. The 95% range of purely statistical errors is ?2 km s-1 Mpc-1. The high degree of statistical accuracy of this result demonstrates the power of using only these two assumptions and leads us to analyze the range of possible systematic errors in the median, which we estimate to be roughly ?5 km s-1 Mpc-1 (95% limits), dominating over the statistical errors. Using a Bayesian median statistics treatment of high-redshift Type Ia supernovae (SNe Ia) apparent magnitude versus redshift data from Riess et al., we find the posterior probability that the cosmological constant ? > 0 is 70% or 89%, depending on the prior information we include. We find the posterior probability of an open universe is about 47%, and the probability of a spatially flat universe is 51% or 38%. Our results generally support the observers' conclusions but indicate weaker evidence for ? > 0 (less than 2 ?). Median statistics analysis of the Perlmutter et al. high-redshift SNe Ia data shows that the best-fit flat-? model is favored over the best-fit ? = 0 open model by odds of 366?:?1; the corresponding Riess et al. odds are 3?:?1 (assuming in each case prior odds of 1?:?1). A scalar field with a potential energy with a "tail" behaves like a time-variable ?. Median statistics analyses of the SNe Ia data do not rule out such a time-variable ? and may even favor it over a time-independent ? and a ? = 0 open model.

J. Richard Gott III; Michael S. Vogeley; Silviu Podariu; Bharat Ratra

2001-01-01T23:59:59.000Z

264

High-throughput manufacturing of size-tuned liposomes by a new microfluidics method using enhanced statistical tools for characterization  

Science Journals Connector (OSTI)

Abstract Microfluidics has recently emerged as a new method of manufacturing liposomes, which allows for reproducible mixing in miliseconds on the nanoliter scale. Here we investigate microfluidics-based manufacturing of liposomes. The aim of these studies was to assess the parameters in a microfluidic process by varying the total flow rate (TFR) and the flow rate ratio (FRR) of the solvent and aqueous phases. Design of experiment and multivariate data analysis were used for increased process understanding and development of predictive and correlative models. High FRR lead to the bottom-up synthesis of liposomes, with a strong correlation with vesicle size, demonstrating the ability to in-process control liposomes size; the resulting liposome size correlated with the FRR in the microfluidics process, with liposomes of 50 nm being reproducibly manufactured. Furthermore, we demonstrate the potential of a high throughput manufacturing of liposomes using microfluidics with a four-fold increase in the volumetric flow rate, maintaining liposome characteristics. The efficacy of these liposomes was demonstrated in transfection studies and was modelled using predictive modeling. Mathematical modelling identified FRR as the key variable in the microfluidic process, with the highest impact on liposome size, polydispersity and transfection efficiency. This study demonstrates microfluidics as a robust and high-throughput method for the scalable and highly reproducible manufacture of size-controlled liposomes. Furthermore, the application of statistically based process control increases understanding and allows for the generation of a design-space for controlled particle characteristics.

Elisabeth Kastner; Randip Kaur; Deborah Lowry; Behfar Moghaddam; Alexander Wilkinson; Yvonne Perrie

2014-01-01T23:59:59.000Z

265

Market Statistics Northern Colorado Region  

E-Print Network [OSTI]

Market Statistics RE Northern Colorado Region #12;©2013 Everitt Real Estate Center, All Rights. The EREC Market Statistics for the Northern Colorado region details historical closing and inventory trends. The EREC Market Statistics report is available for download at http

266

Note on Design Criteria for Rainbow-Type Multivariates Jintai Ding1  

E-Print Network [OSTI]

This was a short note that deals with the design of Rainbow or "stagewise unbalanced oil-and-vinegar" multivariate parameters in current schemes. These can be ameliorated according to an updated list of security design, 2006: Second Draft, TWISC (Taiwan Information Security Center) tech report · September 5, 2006

267

MODELLING OF A NONLINEAR MULTIVARIABLE BOILER PLANT USING HAMMERSTEIN MODEL, A NONPARAMETRIC APPROACH  

E-Print Network [OSTI]

MODELLING OF A NONLINEAR MULTIVARIABLE BOILER PLANT USING HAMMERSTEIN MODEL, A NONPARAMETRIC mathematically and prac- tically tractable. Boilers are industrial units, which are used for gener- ating steam of fuel. Boiler operation is a complex operation in which hot water must be delivered to a turbine

Al-Duwaish, Hussain N.

268

The Multivariate Ising Polynomial of a Graph Daniel Andren and Klas Markstrom  

E-Print Network [OSTI]

The Multivariate Ising Polynomial of a Graph Daniel Andr´en and Klas Markstr¨om Abstract. In this paper we discuss the two variable Ising polyno- mial in a graph theoretical setting. This polynomial has its origin in physics as the partition function of the Ising model with an external field. We prove

Markström, Klas

269

Comparative application of artificial neural networks and genetic algorithms for multivariate time-series modelling  

E-Print Network [OSTI]

Comparative application of artificial neural networks and genetic algorithms for multivariate time of artificial neural networks and genetic algorithms in terms of forecasting and understanding of algal blooms-a, Microcystis, short-term prediction, artificial neural network model, genetic algorithm model, rule sets

Fernandez, Thomas

270

Approximation using scattered shifts of a multivariate Ronald DeVore and Amos Ron  

E-Print Network [OSTI]

, of a fixed function occurs in many applications such as data fit- ting, neural networks, and learning theory() of the (· - ), .1 We refer to the book [32] for more details on radial basis functions in general, and their useApproximation using scattered shifts of a multivariate function Ronald DeVore and Amos Ron

Liblit, Ben

271

Approximation using scattered shifts of a multivariate Ronald DeVore and Amos Ron  

E-Print Network [OSTI]

Approximation using scattered shifts of a multivariate function # Ronald DeVore and Amos Ron February 17, 2008 Abstract The approximation of a general d­variate function f by the shifts #(· - #), # # # # R d , of a fixed function # occurs in many applications such as data fit­ ting, neural networks

Liblit, Ben

272

Ilchmann, Achim; Pahl, M. : Adaptive Multivariable pH Regulation of a Biogas Tower Reactor  

E-Print Network [OSTI]

Ilchmann, Achim; Pahl, M. : Adaptive Multivariable pH Regulation of a Biogas Tower Reactor Zuerst. The adaptive controller was successlullytesteclover il pcriod of tu'o nonths at a biogas tower reuetoriu pilot are not applicable to the biogas tower reüctor.since a dontinatingf-eatureof the new reactol' prir-rciplc-is its

Knobloch,Jürgen

273

Design of angle-tolerant multivariate optical elements for chemical imaging  

E-Print Network [OSTI]

Design of angle-tolerant multivariate optical elements for chemical imaging Olusola O. Soyemi in imaging applications. We report a method for the design of angle-insensitive MOEs based on modification of Bismarck Brown and Crystal Violet, was designed and its performance simulated. For angles of incidence

Myrick, Michael Lenn

274

Modeling and Generating Daily Changes in Market Variables Using A Multivariate Mixture of Normal Distributions  

E-Print Network [OSTI]

Modeling and Generating Daily Changes in Market Variables Using A Multivariate Mixture of Normal Distributions Jin Wang Department of Mathematics and Computer Science Valdosta State University Valdosta, GA 31698-0040 January 28, 2000 Abstract The mixture of normal distributions provides a useful extension

Wang, Jin

275

DECENTRALIZED AND MULTIVARIABLE DESIGNS FOR EGR-VGT CONTROL OF A DIESEL  

E-Print Network [OSTI]

equations. The general diesel engine con guration is depicted in Figure 1. The particular con gurationDECENTRALIZED AND MULTIVARIABLE DESIGNS FOR EGR-VGT CONTROL OF A DIESEL ENGINE M. van Nieuwstadt P for a high speed diesel engine equipped with EGR and a variable nozzle geometry turbocharger (VGT

Stefanopoulou, Anna

276

Community Health Map: A geospatial and multivariate data visualization tool for public health datasets  

E-Print Network [OSTI]

on health care. The U.S. Department of Health and Human Services keeps track of a variety of health care that enables users to visualize health care data in multivariate space as well as geospatially. It is designed a compre- hensible and powerful interface for policy makers to visualize health care quality, public health

Shneiderman, Ben

277

The Distribution of Environmental Equity: Exploring Spatial Nonstationarity in Multivariate Models of Air  

E-Print Network [OSTI]

explain the variation in hazardous facility location? Many environmental equity studies employ some form hazardous facility location (e.g., Ringquist 1997; Hird and Reese 1998; Sadd et al. 1999a). Multivariate sta mapping, can reveal this spatial nonstationarity and shed light on its form. We use GWR, in combination

Mennis, Jeremy

278

STATISTICS OF PRECIPITATION EXTREMES: QUANTIFYING CONFIDENCE IN TRENDS  

E-Print Network [OSTI]

1 STATISTICS OF PRECIPITATION EXTREMES: QUANTIFYING CONFIDENCE IN TRENDS Rick Katz Institute of the validity of this analysis." -- Emil Gumbel #12;3 Outline (1) Introduction (2) Extreme Value Analysis under Stationarity: Classical Approach (3) Extreme Value Analysis under Stationarity: Modern Approach (4) Extreme

Katz, Richard

279

International petroleum statistics report  

SciTech Connect (OSTI)

The International Petroleum Statistics Report is a monthly publication that provides current international oil data. This report is published for the use of Members of Congress, Federal agencies, State agencies, industry, and the general public. Publication of this report is in keeping with responsibilities given the Energy Information Administration in Public Law 95-91. The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1985 through 1995.

NONE

1997-05-01T23:59:59.000Z

280

456 IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, VOL. 8, NO. 3, MAY 2000 The Quadruple-Tank Process: A Multivariable  

E-Print Network [OSTI]

456 IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, VOL. 8, NO. 3, MAY 2000 The Quadruple-Tank Abstract--A novel multivariable laboratory process that con- sists of four interconnected water tanks-plane. In this way the quadruple-tank process is ideal for illustrating many concepts in multivariable control

Johansson, Karl Henrik

Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Multivariate accelerated shelf-life testing: a novel approach for determining the shelf-life of foods  

E-Print Network [OSTI]

Multivariate accelerated shelf-life testing: a novel approach for determining the shelf-lives, accelerated studies have to be conducted and a third parameter has to be estimated: the acceleration factor approach for determining the shelf-life of industrialised food products, the Multivariate Accelerated Shelf

Ferreira, Márcia M. C.

282

statistics | OpenEI  

Open Energy Info (EERE)

12 12 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278812 Varnish cache server statistics Dataset Summary Description This dataset is part of a larger internal dataset at the National Renewable Energy Laboratory (NREL) that explores various characteristics of large solar electric (both PV and CSP) facilities around the United States. This dataset focuses on the land use characteristics for solar facilities that are either under construction or currently in operation. Source Land-Use Requirements for Solar Power Plants in the United States Date Released June 25th, 2013 (7 months ago) Date Updated Unknown Keywords acres area average concentrating solar power csp Density

283

RHODORA, Vol. 107, No. 932, pp. 359385, 2005 A MULTIVARIATE ANALYSIS OF  

E-Print Network [OSTI]

to Oklahoma, Texas, and northern Chihuahua, Mexico. In the United States, they extend from southeastern Oregon

Downie, Stephen R.

284

United States Digital Divide: State level analysis of spatial clustering and multivariate determinants of ICT utilization  

Science Journals Connector (OSTI)

Abstract This study analyzes factors associated with availability and utilization of information and communication technologies (ICTs) for U.S. states. We construct an exploratory conceptual model of technology utilization in which eight dependent ICT availability and utilization factors are posited to be associated with fourteen independent socio-economic, demographic, innovation, social capital, and societal openness factors. Technology utilization variables are spatially analyzed to determine extent of agglomeration, and regression residuals are examined to eliminate spatial bias. Findings indicate social capital, education, societal openness, urbanization, and ethnicities are significantly associated with ICT utilization. We suggest important implications for policymakers at state and federal levels.

James B. Pick; Avijit Sarkar; Jeremy Johnson

2014-01-01T23:59:59.000Z

285

Multivariate analysis of Raman spectra for the identification of sulfates: Implications for ExoMars  

Science Journals Connector (OSTI)

...quantitative| Introduction Laser Raman spectroscopy...the quality of biodiesel fuels (Ghesti et al...Natural Sciences and Engineering Research Council...quantification of biodiesel in a progressive...methods. Energy and Fuels, 21, 2475-2480...

Guillermo Lopez-Reyes; Pablo Sobron; Catherine Lefebvre; Fernando Rull

286

MGAS: a powerful tool for multivariate gene-based genome-wide association analysis  

Science Journals Connector (OSTI)

......Netherlands, 6Department of Psychiatry, the University of Hong Kong, Pokfulam, Hong Kong, 7State Key Laboratory for Cognitive and Brain Sciences, the University of Hong Kong, Pokfulam, Hong Kong, 8The Centre for Reproduction, Development and Growth, the......

Sophie van der Sluis; Conor V. Dolan; Jiang Li; Youqiang Song; Pak Sham; Danielle Posthuma; Miao-xin Li

2014-11-01T23:59:59.000Z

287

Identification of Wood Species by Acoustic-Resonance Spectrometry Using Multivariate Subpopulation Analysis  

Science Journals Connector (OSTI)

The identification of wood species remains an issue in restoration involving rare, old, or disguised wood parts. Precise restoration is required in reconditioning the works of...

Mills, Timothy P; Jones, Angela; Lodder, Robert A

1993-01-01T23:59:59.000Z

288

Multivariate analysis of Raman spectra for the identification of sulfates: Implications for ExoMars  

Science Journals Connector (OSTI)

...iterative calibration process when the output errors...ANNs) The calibration process of our ANN consisted...an efficient way to process RLS data during the...Antarctic materials: evaluation for putative Martian...spectroscopy quantification of biodiesel in a progressive soybean...

Guillermo Lopez-Reyes; Pablo Sobron; Catherine Lefebvre; Fernando Rull

289

Applied Multivariate Analysis, Notes originally for the course of Lent 2004,  

E-Print Network [OSTI]

-definite matrix, with eigen-values 1, . . . , p say (which are then > 0, since V is positive-definite). Let u1 0 for any vector u, ie the matrix V is positive semi- definite. Here is one possible, . . . , up be the corresponding eigen-vectors of V , thus V ui = iui, for 1 i p, and uT i uj = 0 for i = j

Altham, Pat

290

Applied Multivariate Analysis, Notes for course of Lent 2004, MPhil in  

E-Print Network [OSTI]

) and V is a positive-definite matrix, with eigen-values 1, . . ., p say (which are then > 0, since V 0 for any vector u, ie the matrix V is positive semi- definite. Here is one possible is positive-definite). Let u1, . . . , up be the corresponding eigen-vectors of V , thus V ui = iui, for 1 i

Lee, Stephen

291

International petroleum statistics report  

SciTech Connect (OSTI)

The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1994; OECD stocks from 1973 through 1994; and OECD trade from 1984 through 1994.

NONE

1995-11-01T23:59:59.000Z

292

International petroleum statistics report  

SciTech Connect (OSTI)

The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1084 through 1994.

NONE

1996-05-01T23:59:59.000Z

293

International petroleum statistics report  

SciTech Connect (OSTI)

The International Petroleum Statistics Report is a monthly publication that provides current international data. The report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent 12 months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1996; OECD stocks from 1973 through 1996; and OECD trade from 1986 through 1996.

NONE

1997-07-01T23:59:59.000Z

294

International petroleum statistics report  

SciTech Connect (OSTI)

The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. Word oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1985 through 1995.

NONE

1996-10-01T23:59:59.000Z

295

Algebraic Statistics methods Giovanni Pistone  

E-Print Network [OSTI]

Algebraic Statistics methods for DOE Giovanni Pistone Department of Mathematics Politecnico di Torino, Italy giovanni.pistone@polito.it Eva Riccomagno Department of Mathematics Politecnico di Torino

Ceragioli, Francesca

296

Statistical Model Development for Estimating Bicycle Rack Usage at Auburn University.  

E-Print Network [OSTI]

??The objective of this research was to develop and evaluate statistical models to estimate bicycle rack usage for a university campus environment. An analysis was… (more)

Wilson, Christopher

2011-01-01T23:59:59.000Z

297

Theoretical Backgrounds of the Statistical Methods. Basic Concepts of Probability and Statistics.  

Science Journals Connector (OSTI)

Theoretical Backgrounds of the Statistical Methods. ... Basic Concepts of Probability and Statistics. ...

Henry Scheffe

1951-01-01T23:59:59.000Z

298

Investigation on multi-variable decoupled temperature control system for enamelling machine with heated air circulation  

SciTech Connect (OSTI)

A lots of problems may occur frequently when controlling the temperature of the enamelling machine oven in the real industrial process, such as multi-variable coupled problem. an experimental rig with triple inputs and triple outputs was devised and a simulation modeling was established accordingly in this study,. the temperature control system based on the feedforward compensation algorithm was proposed. Experimental results have shown that the system is of high efficiency, good stability and promising application.

Li, Yang; Qin, Le; Zou, Shipeng; Long, Shijun [School of Information Engineering, Guangdong University of Technology, Guangzhou, 510006 (China)

2014-04-11T23:59:59.000Z

299

Addendum on Statistical Inference and ESP Linear Algebra and Probability for Computer Science Applications  

E-Print Network [OSTI]

Addendum on Statistical Inference and ESP Linear Algebra and Probability for Computer Science statistical analyses of experiments. That is to say, every research paper containing a statistical analysis must contain also an estimate of what the prior probability on the conclusions was, and some

Davis, Ernest

300

Statistics in Practice Forensic Science  

E-Print Network [OSTI]

Statistics in Practice Forensic Science Dr. David Lucy d.lucy@lancaster.ac.uk Lancaster University Statistics in Practice ­ p.1/36 #12;Forensic Science Criminal evidence becoming increasingly "scientific in Practice ­ p.2/36 #12;Forensic Science Greater realisation that uncertainty is important has lead to

Lucy, David

Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Normalized Normal Constraint Algorithm Based Multi-objective Optimal Tuning of Decentralised PI Controller of Nonlinear Multivariable Process – Coal Gasifier  

Science Journals Connector (OSTI)

Almost all the industrial processes are multivariable in nature and are very difficult to control, since it involves many variables, strong interactions and nonlinearities. Conventional controllers are most widel...

Rangasamy Kotteeswaran; Lingappan Sivakumar

2013-01-01T23:59:59.000Z

302

Information Theory and Statistical Mechanics  

Science Journals Connector (OSTI)

Information theory provides a constructive criterion for setting up probability distributions on the basis of partial knowledge, and leads to a type of statistical inference which is called the maximum-entropy estimate. It is the least biased estimate possible on the given information; i.e., it is maximally noncommittal with regard to missing information. If one considers statistical mechanics as a form of statistical inference rather than as a physical theory, it is found that the usual computational rules, starting with the determination of the partition function, are an immediate consequence of the maximum-entropy principle. In the resulting "subjective statistical mechanics," the usual rules are thus justified independently of any physical argument, and in particular independently of experimental verification; whether or not the results agree with experiment, they still represent the best estimates that could have been made on the basis of the information available.It is concluded that statistical mechanics need not be regarded as a physical theory dependent for its validity on the truth of additional assumptions not contained in the laws of mechanics (such as ergodicity, metric transitivity, equal a priori probabilities, etc.). Furthermore, it is possible to maintain a sharp distinction between its physical and statistical aspects. The former consists only of the correct enumeration of the states of a system and their properties; the latter is a straightforward example of statistical inference.

E. T. Jaynes

1957-05-15T23:59:59.000Z

303

Simulation of Monsoon Depressions Using WRF-VAR: Impact of Different Background Error Statistics and Lateral Boundary Conditions  

Science Journals Connector (OSTI)

In a variational data assimilation system, background error statistics (BES) spread the influence of the observations in space and filter analysis increments through dynamic balance or statistical relationships. In a data-sparse region such as the ...

A. Routray; S. C. Kar; P. Mali; K. Sowjanya

2014-10-01T23:59:59.000Z

304

Chemiluminescence-based multivariate sensing of local equivalence ratios in premixed atmospheric methane-air flames  

SciTech Connect (OSTI)

Chemiluminescence emissions from OH*, CH*, C2, and CO2 formed within the reaction zone of premixed flames depend upon the fuel-air equivalence ratio in the burning mixture. In the present paper, a new partial least square regression (PLS-R) based multivariate sensing methodology is investigated and compared with an OH*/CH* intensity ratio-based calibration model for sensing equivalence ratio in atmospheric methane-air premixed flames. Five replications of spectral data at nine different equivalence ratios ranging from 0.73 to 1.48 were used in the calibration of both models. During model development, the PLS-R model was initially validated with the calibration data set using the leave-one-out cross validation technique. Since the PLS-R model used the entire raw spectral intensities, it did not need the nonlinear background subtraction of CO2 emission that is required for typical OH*/CH* intensity ratio calibrations. An unbiased spectral data set (not used in the PLS-R model development), for 28 different equivalence ratio conditions ranging from 0.71 to 1.67, was used to predict equivalence ratios using the PLS-R and the intensity ratio calibration models. It was found that the equivalence ratios predicted with the PLS-R based multivariate calibration model matched the experimentally measured equivalence ratios within 7%; whereas, the OH*/CH* intensity ratio calibration grossly underpredicted equivalence ratios in comparison to measured equivalence ratios, especially under rich conditions ( > 1.2). The practical implications of the chemiluminescence-based multivariate equivalence ratio sensing methodology are also discussed.

Tripathi, Markandey M.; Krishnan, Sundar R.; Srinivasan, Kalyan K.; Yueh, Fang-Yu; Singh, Jagdish P.

2012-03-01T23:59:59.000Z

305

Statistical Mechanics of Amplifying Apparatus  

E-Print Network [OSTI]

We implement Feynman's suggestion that the only missing notion needed for the puzzle of Quantum Measurement is the statistical mechanics of amplifying apparatus. We define a thermodynamic limit of quantum amplifiers which is a classically describable system in the sense of Bohr, and define macroscopic pointer variables for the limit system. Then we derive the probabilities of Quantum Measurement from the deterministic Schroedinger equation by the usual techniques of Classical Statistical Mechanics.

Joseph Johnson

2005-02-08T23:59:59.000Z

306

ASTR 511/O'Connell Lec 6 1 STATISTICS OF OBSERVATIONS &  

E-Print Network [OSTI]

Reduction & Error Analysis for the Physical Sciences" LLM: Appendix B Warning: the introductory literature on statistics of measurement is remarkably uneven, and nomenclature is not consistent. Is error analysisASTR 511/O'Connell Lec 6 1 STATISTICS OF OBSERVATIONS & SAMPLING THEORY References: Bevington "Data

Peletier, Reynier

307

Application of multivariate curve resolution-alternating least squares for the determination of boron isotope ratios by inductively coupled plasma-optical emission spectrometry  

Science Journals Connector (OSTI)

Abstract Multivariate curve resolution-alternating least squares (MCR-ALS) was applied to atomic emission data obtained from inductively coupled plasma-optical emission spectrometry analysis of boron for the quantification of 10B/11B ratios. The determination of isotopic composition of boron is based on the isotopic shift of 10B and 11B in the emission line of 208.957 nm. After recording of the emission spectra in the range of 208.940–208.970 nm, evaluation of isotopic composition of boron containing samples was performed with MCR-ALS algorithm. MCR-ALS was able to resolve the emission spectra of 10B and 11B mixtures. The performance of the proposed methods was tested by determination of 10B/11B ratios in synthetic mixtures and also water samples.

Ehsan Zolfonoun; Seyed Javad Ahmadi

2013-01-01T23:59:59.000Z

308

Femtocell Coverage Optimisation Using Statistical Verification  

E-Print Network [OSTI]

Femtocell Coverage Optimisation Using Statistical Verification Tiejun Ma and Peter Pietzuch and coverage holes and ensure a balanced traffic workload among them. We use statistical verification the cost of self-optimisation. Keywords: Femtocell, Self-Optimisation, Statistical Verification 1

Pietzuch, Peter

309

Classical model of intermediate statistics  

Science Journals Connector (OSTI)

In this work we present a classical kinetic model of intermediate statistics. In the case of Brownian particles we show that the Fermi-Dirac (FD) and Bose-Einstein (BE) distributions can be obtained, just as the Maxwell-Boltzmann (MB) distribution, as steady states of a classical kinetic equation that intrinsically takes into account an exclusion-inclusion principle. In our model the intermediate statistics are obtained as steady states of a system of coupled nonlinear kinetic equations, where the coupling constants are the transmutational potentials ????. We show that, besides the FD-BE intermediate statistics extensively studied from the quantum point of view, we can also study the MB-FD and MB-BE ones. Moreover, our model allows us to treat the three-state mixing FD-MB-BE intermediate statistics. For boson and fermion mixing in a D-dimensional space, we obtain a family of FD-BE intermediate statistics by varying the transmutational potential ?BF. This family contains, as a particular case, when ?BF=0, the quantum statistics recently proposed by L. Wu, Z. Wu, and J. Sun [Phys. Lett. A 170, 280 (1992)]. When we consider the two-dimensional FD-BE statistics, we derive an analytic expression of the fraction of fermions. When the temperature T??, the system is composed by an equal number of bosons and fermions, regardless of the value of ?BF. On the contrary, when T?0, ?BF becomes important and, according to its value, the system can be completely bosonic or fermionic, or composed both by bosons and fermions.

G. Kaniadakis

1994-06-01T23:59:59.000Z

310

Bayesian Treed Multivariate Gaussian Process with Adaptive Design: Application to a Carbon Capture Unit  

SciTech Connect (OSTI)

Computer experiments (numerical simulations) are widely used in scientific research to study and predict the behavior of complex systems, which usually have responses consisting of a set of distinct outputs. The computational cost of the simulations at high resolution are often expensive and become impractical for parametric studies at different input values. To overcome these difficulties we develop a Bayesian treed multivariate Gaussian process (BTMGP) as an extension of the Bayesian treed Gaussian process (BTGP) in order to model and evaluate a multivariate process. A suitable choice of covariance function and the prior distributions facilitates the different Markov chain Monte Carlo (MCMC) movements. We utilize this model to sequentially sample the input space for the most informative values, taking into account model uncertainty and expertise gained. A simulation study demonstrates the use of the proposed method and compares it with alternative approaches. We apply the sequential sampling technique and BTMGP to model the multiphase flow in a full scale regenerator of a carbon capture unit. The application presented in this paper is an important tool for research into carbon dioxide emissions from thermal power plants.

Konomi, Bledar A.; Karagiannis, Georgios; Sarkar, Avik; Sun, Xin; Lin, Guang

2014-05-16T23:59:59.000Z

311

Multivariate process control for detection and cause identification of location shifts  

Science Journals Connector (OSTI)

Most processes involve more than one process/product output variable, multiple process input/regulatory variables, and a category of noise variables, which consists of factors not considered in the model, or those external to the process. Since output variables are not necessarily independent of each other, an adequate approach involves multivariate process control for monitoring of the process. It is of practical value to determine possible causes in the event of a change in the process location, which is detected through a multivariate control chart. In this paper, for cause identification, one of the methods uses information from only the process input variables, while the other uses a generalised measure, based on the residuals, that incorporates the process input and output variables. A simulation approach is adopted to investigate the performance of the proposed estimators as well as the traditional estimator that incorporates only the process/product output variables. Based on a selected performance measure of the average run length of the time to first detection, when the location parameter has changed, the proposed methods perform favourably compared to the traditional estimator.

Amitava Mitra; Mark M. Clark

2014-01-01T23:59:59.000Z

312

Report on Activities And Usage Statistics of  

E-Print Network [OSTI]

Report on Activities And Usage Statistics of Learning Technology Center Services and Facilities And Usage Statistics of Learning Technology Center Services and Facilities 2009-2010 The purpose

Patzek, Tadeusz W.

313

ORISE: Statistical Analyses of Worker Health  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Statistical Analyses Statistical analyses at the Oak Ridge Institute for Science and Education (ORISE) support ongoing programs involving medical surveillance of workers and other...

314

VTPI-Transportation Statistics | Open Energy Information  

Open Energy Info (EERE)

Area: Transportation Resource Type: Dataset Website: www.vtpi.orgtdmtdm80.htm Cost: Free VTPI-Transportation Statistics Screenshot References: VTPI-Transportation Statistics1...

315

Physical Consequences of a Momenta-Transfering Particle Theory of Induced Gravity and New Measurements Indicating Variation from Inverse Square Law at Length Scale of .1 mm: Statistical Time Properties of Gravitational Interaction and Analysis Thereof  

E-Print Network [OSTI]

This work presents physical consequences of our theory of induced gravity (Ref.1) regarding: 1) the requirement to consider shape and materials properties when calculating graviton cross section collision area; 2) use of Special Relativity; 3) implications regarding the shape of cosmos; 4) comparison to explanations using General Relativity; 5) properties of black holes; 6) relationship to the strong force and the theorized Higgs boson; 7) the possible origin of magnetic attraction; 8) new measurements showing variation from gravitational inverse square behavior at length scales of 0.1 mm and relationship to the Cosmological constant, and proof of the statistical time properties of the gravitational interaction.

Gary Christopher Vezzoli

2001-04-04T23:59:59.000Z

316

On Statistical Aspects of Qjets  

E-Print Network [OSTI]

The process by which jet algorithms construct jets and subjets is inherently ambiguous and equally well motivated algorithms often return very different answers. The Qjets procedure was introduced by the authors to account for this ambiguity by considering many reconstructions of a jet at once, allowing one to assign a weight to each interpretation of the jet. Employing these weighted interpretations leads to an improvement in the statistical stability of many measurements. Here we explore in detail the statistical properties of these sets of weighted measurements and demonstrate how they can be used to improve the reach of jet-based studies.

Stephen D. Ellis; Andrew Hornig; David Krohn; Tuhin S. Roy

2014-12-05T23:59:59.000Z

317

ELECTRICITY CONSUMPTION IN THE INDUSTRIAL SECTOR OF JORDAN: APPLICATION OF MULTIVARIATE LINEAR REGRESSION AND ADAPTIVE NEURO?FUZZY TECHNIQUES  

Science Journals Connector (OSTI)

In this study two techniques for modeling electricity consumption of the Jordanian industrial sector are presented: (i) multivariate linear regression and (ii) neuro?fuzzy models. Electricity consumption is modeled as function of different variables such as number of establishments number of employees electricity tariff prevailing fuel prices production outputs capacity utilizations and structural effects. It was found that industrial production and capacity utilization are the most important variables that have significant effect on future electrical power demand. The results showed that both the multivariate linear regression and neuro?fuzzy models are generally comparable and can be used adequately to simulate industrial electricity consumption. However comparison that is based on the square root average squared error of data suggests that the neuro?fuzzy model performs slightly better for future prediction of electricity consumption than the multivariate linear regression model. Such results are in full agreement with similar work using different methods for other countries.

M. Samhouri; A. Al?Ghandoor; R. H. Fouad

2009-01-01T23:59:59.000Z

318

Ethics and Statistics Andrew Gelman,  

E-Print Network [OSTI]

CHANCE 51 Ethics and Statistics Andrew Gelman, Column Editor A n ethics problem arises when you, and (c) violates some rule. Other definitionsarepossible;thereisavastlit- erature on professional ethics that I will not discuss, instead focusing here on my own perspective as a statistician. Any ethical

Gelman, Andrew

319

Purdue Agriculture Annual Statistical Report  

E-Print Network [OSTI]

Purdue Agriculture Research Works Annual Statistical Report 2005-2006 Purdue AGrICuLTure Read the full report on the Web www.ag.purdue.edu/arp/stat_report_05-06 #12;Purdue AGrICuLTure Purdue Agriculture Research Works Here's why. We are riding the wave of revolutionary changes brought about

320

STATISTICS AND PHILOSOPHY OF PROBABILITY  

E-Print Network [OSTI]

STATISTICS AND PHILOSOPHY OF PROBABILITY -- SIX DEGREES OF SEPARATION Krzysztof Burdzy University of Washington Krzysztof Burdzy Philosophy of probability #12;The search for certainty The search for certainty. On the clash of science and philosophy of probability. Preface, Table of Contents and Introduction

Burdzy, Krzysztof "Chris"

Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Scalable Statistical Monitoring of Fleet , Dimitry Gorinevsky  

E-Print Network [OSTI]

LLC, Palo Alto, CA e-mail: dimitry@mitekan.com Abstract: This paper considers the problem of fitting monitoring of data from a fleet (population) of similar units. A fleet-wide extension of the multivariable historical cruise flight data. 1. INTRODUCTION 1.1 Population monitoring problems This paper considers

322

C. Shane Reese Department of Statistics  

E-Print Network [OSTI]

://madison.byu.edu/ EDUCATION Aug. 1999 Doctor of Philosophy: Statistics. Texas A&M University. Aug. 1995 Master of Science Joint Statistical Meetings Invited Poster Chair 2000­2002 Continuing Education Chair ­ Section: Statistics. Brigham Young University. Aug. 1994 Bachelor of Science: Statistics. Brigham Young University

Reese, Shane

323

K. L. Ekinci Statistical Mechanical Concepts  

E-Print Network [OSTI]

/22 Probability and Statistics 3 1/27-1/29 Probability and Statistics 4 2/3-2/5 Review of Thermodynamics First LawK. L. Ekinci ME516 1 ME516 Statistical Mechanical Concepts MW 12-2 ENG 202 Instructor: Kamil Ekinci ENG 408 3-8670; ekinci@bu.edu Recommended Books: 1-Introduction to Modern Statistical Mechanics

Lin, Xi

324

Market Statistics Data Provided by IRES, LLC  

E-Print Network [OSTI]

Market Statistics Data Provided by IRES, LLC Rockwell Hall West #12;#12;Market Statistics ­ Northern Colorado Region Market Statistics ­ 2014 ©2014 Everitt Real Estate Center, All Rights Reserved. The EREC Market Statistics for the Northern Colorado Region details historical closing and inventory trends

325

Computational and Statistical Tradeoffs via Convex Relaxation Venkat Chandrasekaranc  

E-Print Network [OSTI]

emerging problems in "Big Data" is apparent from their sharply divergent nature at an elementary level, CA 91125 USA b Departments of Statistics and of Electrical Engineering and Computer Sciences University of California ­ Berkeley Berkeley, CA 94720 USA November 26, 2012 Abstract In modern data analysis

326

Statistical Mechanics of Money, Income, Debt, and Energy Consumption  

E-Print Network [OSTI]

Statistical Mechanics of Money, Income, Debt, and Energy Consumption Physics Colloquium Presented in financial markets. Globally, data analysis of energy consumption per capita around the world shows@american.edu Similarly to the probability distribution of energy in physics, the probability distribution of money among

Hill, Wendell T.

327

Analysis  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Analysis Analysis of Short-Bunch Production with the APS Booster and a Bunch Compressor Michael Borland, AOD/OAG ∗ August 8, 2003 1 Abstract There is significant interest among x-ray scientists in short-pulse x-rays. The x-rays from the APS ring, although very bright, are produced by an electron bunch with an rms length of more than 30 ps. Typically, it is only a linear accelerator that can produce a very short bunch. An idea was brought to my attention by Glenn Decker that might allow us to produce a short bunch using the APS booster. This idea involves extracting the beam from the booster at 3 to 4 GeV, while it is still relatively short, then compressing it with a magnetic bunch compressor. In this note, we present a preliminary analysis of this idea, along with the related idea of using a nonequilibrium beam from the APS photoinjector. 2 Background We will begin with an examination of the ideal result

328

Application of a multivariate technique to Raman spectra for quantification of body chemicals  

SciTech Connect (OSTI)

Raman spectroscopy is a highly specific technique for the identification of molecules by way of the associated characteristic spectra. The aim of this feasibility study is to assess the combination of the multivariate calibration technique of Partial Least-Squares with Raman spectroscopy for the estimation of glucose, lactic acid, and urea concentrations in the presence of each other in a water substrate. The instrument is a CCD-based Raman spectrometer utilizing the 514.5 nm argon laser line. The estimates for the analyte concentrations yielded a standard deviation of concentration residuals of 20.71 mg/dL for glucose, 12.92 mg/dL for lactic acid, and 19.07 mg/dL for urea. 16 refs., 2 figs., 3 tabs.

Goetz, M.J. Jr.; Cote, G.L. [Texas A& M Univ., College Station, TX (United States)] [Texas A& M Univ., College Station, TX (United States); Erckens, R.; March, W.; Motamedi, M. [Univ. of Texas Medical Branch, Galveston, TX (United States)] [Univ. of Texas Medical Branch, Galveston, TX (United States)

1995-07-01T23:59:59.000Z

329

Application of multi-variable control for automatic frequency controller of HVDC transmission system  

SciTech Connect (OSTI)

In an HVDC transmission system that links two ac power systems, the automatic frequency controller (AFC) calculates power to be interchanged between the two ac systems according to their frequencies thereby improving the frequency characteristics of the two power systems. This paper introduces a newly developed dc AFC system, which applies a multi-variable control to the dc system-based frequency control. It is capable of controlling the frequencies of the two ac systems optimally while maintaining their stability. This system was developed for one of Japan's HVDC transmission facilities and produced good results in a combined test using a power system simulator. The field installation will be completed in March 1993, when the AFC system will enter service.

Sanpei, Masatoshi (Electric Power Development Co., Tokyo (Japan)); Kakehi, Atsuyuki; Takeda, Hideo (Toshiba Corp., Tokyo (Japan))

1994-04-01T23:59:59.000Z

330

Unified univariate and multivariate random field theory Keith J. Worsley12  

E-Print Network [OSTI]

: vector deformations to warp an MRI image to an atlas standard, diffusion in several different directions of the F-statistic, such as Wilks's and the Lawley-Hotelling trace. There are as yet no known random field

Worsley, Keith

331

Multivariable Robust Control of a Simulated Hybrid Solid Oxide Fuel Cell Gas Turbine Plant  

SciTech Connect (OSTI)

This work presents a systematic approach to the multivariable robust control of a hybrid fuel cell gas turbine plant. The hybrid configuration under investigation built by the National Energy Technology Laboratory comprises a physical simulation of a 300kW fuel cell coupled to a 120kW auxiliary power unit single spool gas turbine. The public facility provides for the testing and simulation of different fuel cell models that in turn help identify the key difficulties encountered in the transient operation of such systems. An empirical model of the built facility comprising a simulated fuel cell cathode volume and balance of plant components is derived via frequency response data. Through the modulation of various airflow bypass valves within the hybrid configuration, Bode plots are used to derive key input/output interactions in transfer function format. A multivariate system is then built from individual transfer functions, creating a matrix that serves as the nominal plant in an H{sub {infinity}} robust control algorithm. The controller’s main objective is to track and maintain hybrid operational constraints in the fuel cell’s cathode airflow, and the turbo machinery states of temperature and speed, under transient disturbances. This algorithm is then tested on a Simulink/MatLab platform for various perturbations of load and fuel cell heat effluence. As a complementary tool to the aforementioned empirical plant, a nonlinear analytical model faithful to the existing process and instrumentation arrangement is evaluated and designed in the Simulink environment. This parallel task intends to serve as a building block to scalable hybrid configurations that might require a more detailed nonlinear representation for a wide variety of controller schemes and hardware implementations.

Tsai A, Banta L, Tucker D

2010-08-01T23:59:59.000Z

332

Introduction to statistical models and non-extensive statistics  

E-Print Network [OSTI]

Quark matter is being expected to be found in heavy ion collisions on the basis of calculations in the framework of traditional, extensive thermodynamics. Recently a non-extensive generalization of the thermodynamics is emerging in the theoretical research. We review here some basic concepts in statistics, kinetic theory and thermodynamics, in particular those encountered in non-extensive thermodynamics. This offers an introduction into the theoretical basis of considering non-extensive parton kinetics for describing the hadronization of quark matter.

T. S. Biro

2005-07-27T23:59:59.000Z

333

Statistical atom: Some quantum improvements  

Science Journals Connector (OSTI)

The Thomas-Fermi model is improved by simultaneously introducing three different quantum corrections. The first concerns the nonlocality of quantum mechanics; we go beyond the von Weizsäcker approach by including arbitrary powers of the gradient of the single-particle potential. The second is a special treatment of the strongly bound electrons, which removes the incorrect statistical description of the vicinity of the nucleus. In the third we generalize Dirac's way of handling the exchange interaction by, again, including gradient effects to arbitrary order. All this is done in the framework of a "potential-functional method" and results in a new differential equation for the potential. The comparison of numerical results with both experimental and Hartree-Fock data for the mean-squared distance indicates a superiority of the new statistical theory over the Hartree-Fock theory, at least for the description of the outer reaches of the atom.

Berthold-Georg Englert and Julian Schwinger

1984-05-01T23:59:59.000Z

334

Hydraulic Conductivity Distribution from Multi-level Slug Tests and Multivariate Facies Associations in a Conglomeratic Fluvial Aquifer,  

E-Print Network [OSTI]

of groundwater contamination, and understanding petrophysical relations or multivariate associations. We examine and remediation of groundwater contamination. Also, knowledge of the distribution of K along with other physical on reconstructed samples) and empirical estimates based on samples from quarry and outcrop exposures [e.g., Jussel

Barrash, Warren

335

Statistics and Discoveries at the LHC (2/4)  

ScienceCinema (OSTI)

The lectures will give an introduction to statistics as applied in particle physics and will provide all the necessary basics for data analysis at the LHC. Special emphasis will be placed on the the problems and questions that arise when searching for new phenomena, including p-values, discovery significance, limit setting procedures, treatment of small signals in the presence of large backgrounds. Specific issues that will be addressed include the advantages and drawbacks of different statistical test procedures (cut-based, likelihood-ratio, etc.), the look-elsewhere effect and treatment of systematic uncertainties.

None

2011-10-06T23:59:59.000Z

336

Statistics and Discoveries at the LHC (1/4)  

ScienceCinema (OSTI)

The lectures will give an introduction to statistics as applied in particle physics and will provide all the necessary basics for data analysis at the LHC. Special emphasis will be placed on the the problems and questions that arise when searching for new phenomena, including p-values, discovery significance, limit setting procedures, treatment of small signals in the presence of large backgrounds. Specific issues that will be addressed include the advantages and drawbacks of different statistical test procedures (cut-based, likelihood-ratio, etc.), the look-elsewhere effect and treatment of systematic uncertainties.

None

2011-10-06T23:59:59.000Z

337

Statistics and Discoveries at the LHC (4/4)  

ScienceCinema (OSTI)

The lectures will give an introduction to statistics as applied in particle physics and will provide all the necessary basics for data analysis at the LHC. Special emphasis will be placed on the the problems and questions that arise when searching for new phenomena, including p-values, discovery significance, limit setting procedures, treatment of small signals in the presence of large backgrounds. Specific issues that will be addressed include the advantages and drawbacks of different statistical test procedures (cut-based, likelihood-ratio, etc.), the look-elsewhere effect and treatment of systematic uncertainties.

None

2011-10-06T23:59:59.000Z

338

Statistics and Discoveries at the LHC (3/4)  

ScienceCinema (OSTI)

The lectures will give an introduction to statistics as applied in particle physics and will provide all the necessary basics for data analysis at the LHC. Special emphasis will be placed on the the problems and questions that arise when searching for new phenomena, including p-values, discovery significance, limit setting procedures, treatment of small signals in the presence of large backgrounds. Specific issues that will be addressed include the advantages and drawbacks of different statistical test procedures (cut-based, likelihood-ratio, etc.), the look-elsewhere effect and treatment of systematic uncertainties.

None

2011-10-06T23:59:59.000Z

339

Microsoft Word - S09257_ChemOrigin.docx  

Broader source: Energy.gov (indexed) [DOE]

Multivariate Statistical Analysis Multivariate Statistical Analysis of Water Chemistry in Evaluating the Origin of Contamination in Many Devils Wash, Shiprock, New Mexico December 2012 LMS/SHP/S09257 ESL-RPT-2012-03 This page intentionally left blank LMS/SHP/S09257 ESL-RPT-2012-03 Multivariate Statistical Analysis of Water Chemistry in Evaluating the Origin of Contamination in Many Devils Wash, Shiprock, New Mexico December 2012 This page intentionally left blank U.S. Department of Energy Multivariate Statistical Analysis to the Origin of Contamination-Shiprock, NM December 2012 Doc. No. S09257

340

The Role of Technology in Improving Student Learning of Statistics  

E-Print Network [OSTI]

Voorburg, The Netherland: International Statistical1-14). Voorburg, The Netherland: International Statistical

Chance, Beth; Ben-Zvi, Dani; Garfield, Joan; Medina, Elsa

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Statistical limitations in functional neuroimaging II. Signal detection and statistical inference  

Science Journals Connector (OSTI)

...methods from probability theory and mathematical statistics are directly...methods from probability theory and mathematical statistics are directly...methods from probability theory and mathematical statistics are directly...

1999-01-01T23:59:59.000Z

342

Probability distributions Statistical Estimation Kalman Filter Fisher Information Matrix Akaike Information Criterion Probabilities and Statistical Estimation  

E-Print Network [OSTI]

Probability distributions Statistical Estimation Kalman Filter Fisher Information Matrix Akaike Information Criterion Probabilities and Statistical Estimation Chapter 3 University of Amsterdam #12;Probability distributions Statistical Estimation Kalman Filter Fisher Information Matrix Akaike Information

Dorst, Leo

343

NREL: Energy Analysis - Vehicles and Fuels Research Analysis  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

exhaust emissions, and more. Transportation Data and Statistics Tools Alternative Fuels Data Center EERE Energy Analysis Publications Fuel Economy Guide Future U.S. Highway...

344

Statistical Estimation of Circuit Timing Vulnerability Due to Leakage-Induced Power Grid Voltage Drop  

E-Print Network [OSTI]

Statistical Estimation of Circuit Timing Vulnerability Due to Leakage-Induced Power Grid Voltage voltage drops on the power grid that can affect circuit timing. We propose a statistical analysis supply voltage to circuit devices is referred to as the power grid. The consequences of power grid

Najm, Farid N.

345

A Comparison of Wind Turbine Load Statistics for Inflow Turbulence Fields based on Conventional  

E-Print Network [OSTI]

A Comparison of Wind Turbine Load Statistics for Inflow Turbulence Fields based on Conventional for a utility-scale 5MW wind turbine. Load statistics, spectra, and time-frequency analysis representations utility-scale wind turbines. The present study takes on this question by making use of conventional

Manuel, Lance

346

Biomarker Detection in Whole Slide Imaging based on Statistical Color Models  

E-Print Network [OSTI]

Biomarker Detection in Whole Slide Imaging based on Statistical Color Models Jie Shu1 , Guoping Qiu slides. We treat immunostaining detection as a color image analysis problem and build statistical color slides of oesophagitis and colorectal biopsies. We present experimental results and show

Aickelin, Uwe

347

Statistical fracture modeling: crack path and fracture criteria with application to homogeneous and  

E-Print Network [OSTI]

Statistical fracture modeling: crack path and fracture criteria with application to homogeneous; accepted 23 January 2002 Abstract Analysis has been performed on fracture initiation near a crack in a brittle material with strength described by Weibull statistics. This nonlocal fracture model allows

Ritchie, Robert

348

STATISTICS OF EXTREMES IN CLIMATOLOGY AND HYDROLOGY PART I: BACKGROUND AND TRADITIONAL APPROACHES  

E-Print Network [OSTI]

1 STATISTICS OF EXTREMES IN CLIMATOLOGY AND HYDROLOGY PART I: BACKGROUND AND TRADITIONAL APPROACHES;3 Outline (1) Historical Perspective (2) Basic Characteristics of Climate/Hydrologic Extremes (3) Traditional Statistical Analysis of Climate/Hydrologic Extremes (4) Spatial/Temporal Dependence of Climate

Katz, Richard

349

Statistical Methods for Combining Measurements and Models, with Application  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Statistical Methods for Combining Measurements and Models, with Application Statistical Methods for Combining Measurements and Models, with Application to Mapping Particulate Matter Speaker(s): Chris Paciorek Date: February 11, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Michael Sohn Modern statistical methods, in particular Bayesian hierarchical models, provide a framework for combining various types of measurements in a single analysis. I'll describe a basic latent variable framework for dealing with spatial and spatio-temporal data. The approach is to represent the spatial and spatio-temporal field of interest as a latent field and relate observations to that field. An observation may represent a single point in space and time or an average over space and time. Then I'll describe how to use the approach to combine measurements with proxies such as computer code

350

Application of Electronic Serial Usage Statistics in a National Laboratory  

SciTech Connect (OSTI)

Traditional measures of library performance – walk-in visitors, number of users attending presentations, classes, number of individual subscriptions processed, etc. – do not reflect the increased activity and use of library products and services. The Hanford Technical Library is physically removed from the main campus of Pacific Northwest National Laboratory, and thus necessitates having a robust online presence in order to effectively reach and provide services to library users. Online usage statistics have become vital in convincing Laboratory management to invest funding the library at continuing or increasing levels of demand for library services. E-serial usage statistics in particular give the Hanford Technical Library a myriad of information on user behavior, research trends, collection development, and act as important analytical tools which support resource allocation analysis, reporting, and managerial decision-making. However, there are many problems with publisher and vendor supplied usage statistics and possible solutions are proposed.

Noonan, Christine F.; McBurney, Melissa K.

2007-08-27T23:59:59.000Z

351

A new development cycle of the Statistical Toolkit  

E-Print Network [OSTI]

The Statistical Toolkit is an open source system specialized in the statistical comparison of distributions. It addresses requirements common to different experimental domains, such as simulation validation (e.g. comparison of experimental and simulated distributions), regression testing in the course of the software development process, and detector performance monitoring. Various sets of statistical tests have been added to the existing collection to deal with the one sample problem (i.e. the comparison of a data distribution to a function, including tests for normality, categorical analysis and the estimate of randomness). Improved algorithms and software design contribute to the robustness of the results. A simple user layer dealing with primitive data types facilitates the use of the toolkit both in standalone analyses and in large scale experiments.

Batic, M; Pfeiffer, A; Pia, M G; Ribon, A

2012-01-01T23:59:59.000Z

352

Kansas Statistical Abstract 2006 (41st Edition)  

E-Print Network [OSTI]

The Kansas Statistical Abstract contains state, county, and city-level data for Kansas on population, vital statistics and health, housing, elections, education, business and manufacturing, exports, employment, income, ...

Policy Research Institute

2008-10-21T23:59:59.000Z

353

Kansas Statistical Abstract 2005 (40th Edition)  

E-Print Network [OSTI]

The Kansas Statistical Abstract contains state, county, and city-level data for Kansas on population, vital statistics and health, housing, elections, education, business and manufacturing, exports, employment, income, ...

Policy Research Institute

2008-10-21T23:59:59.000Z

354

Kansas Statistical Abstract 2010 (45th Edition)  

E-Print Network [OSTI]

The Kansas Statistical Abstract 2010, contains the latest available state, county, and city-level data for Kansas on population, vital statistics and health, housing, education, business and manufacturing, exports, employment, ...

Institute for Policy & Social Research

2011-10-18T23:59:59.000Z

355

Kansas Statistical Abstract 2012 (47th Edition)  

E-Print Network [OSTI]

The Kansas Statistical Abstract 2012, contains the latest available state, county, and city-level data for Kansas on population, vital statistics and health, housing, education, business and manufacturing, exports, employment, ...

Institute for Policy & Social Research

2014-05-27T23:59:59.000Z

356

Entanglement distillation using particle statistics  

E-Print Network [OSTI]

We extend the idea of entanglement concentration for pure states(Phys. Rev. Lett. {\\bf 88}, 187903) to the case of mixed states. The scheme works only with particle statistics and local operations, without the need of any other interactions. We show that the maximally entangled state can be distilled out when the initial state is pure, otherwise the entanglement of the final state is less than one. The distillation efficiency is a product of the diagonal elements of the initial state, it takes the maximum 50%, the same as the case for pure states.

H. L. Huang; L. H. Cheng; X. X. Yi

2005-10-25T23:59:59.000Z

357

Statistical Properties of Fracture Precursors  

Science Journals Connector (OSTI)

We present the data of a mode-I fracture experiment. The samples are broken under imposed pressure. The acoustic emission of microfractures before the breakup of the sample is registered. From the acoustic signals, the position of microfractures and the energy released are calculated. A measure of the clustering of microfractures yields information about the critical load. The statistics from energy measurements strongly suggest that the fracture can be viewed as a critical phenomenon; energy events are distributed in magnitude as a power law, and a critical exponent is found for the energy near fracture.

A. Garcimartín; A. Guarino; L. Bellon; S. Ciliberto

1997-10-27T23:59:59.000Z

358

A Ripplet Transform Based Statistical Framework for Natural Color Image Retrieval  

Science Journals Connector (OSTI)

We present a novel Content Based Image Retrieval (CBIR) scheme for natural color images using Multi-scale Geometric Analysis (MGA) of Ripplet Transform (RT) Type-I in the statistical framework based on General...

Manish Chowdhury; Sudeb Das; Malay K. Kundu

2013-01-01T23:59:59.000Z

359

Statistical Estimation of Two-Body Hydrodynamic Properties Using System Identification  

E-Print Network [OSTI]

information concerning the response characteristics of such systems. The current study demonstrates that the analysis of these data using a combination of statistical tools and system identification techniques can efficiently recover the main hydrodynamic...

Xie, Chen

2010-01-14T23:59:59.000Z

360

Real-Time Quantitative RT-PCR: Design, Calculations, and Statistics  

Science Journals Connector (OSTI)

...statistical analysis. Alternatively, nonparametric tests, such as Friedmans ANOVA (which accounts for block effects), Kruskal-Wallis ANOVA (which does not account for block effects), or the Mann-Whitney test in the situation of only two treatments...

Ivo Rieu; Stephen J. Powers

2009-04-24T23:59:59.000Z

Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Writing statistics project reports October 8, 2001  

E-Print Network [OSTI]

Writing statistics project reports S. Zachary October 8, 2001 This is a draft version projects. The need for such additional guidance is apparent from the thousands of reports we have marked is scientifically and statistically literate. Therefore you do not need to describe standard statistical procedures

Painter, Kevin

362

Electric field statistics in MHD turbulence  

E-Print Network [OSTI]

Electric field statistics in MHD turbulence Bernard Knaepen, Nicolas Denewet & Daniele Carati, ULB #12;Electric field statistics in MHD turbulence Outline Electric field in MHD? Particle acceleration Statistics of the electric & magnetic fields #12;Outline Electric field in MHD? Particle acceleration

Low, Robert

363

Blinking Statistics Correlated with Nanoparticle Number  

Science Journals Connector (OSTI)

The associated statistical parameters of on- and off-time probability densities for two- and three-NR clusters are indistinguishable from those of individual NRs. ... We report the observation of statistical aging and ergodicity breaking, both related to the occurrence of Levy statistics. ...

Siying Wang; Claudia Querner; Michael D. Fischbein; Lauren Willis; Dmitry S. Novikov; Catherine H. Crouch; Marija Drndic

2008-10-10T23:59:59.000Z

364

Notes on Frequentist, Maximum Likelihood & Bayesian Statistics  

E-Print Network [OSTI]

, theory, "gut feeling," etc. · Changes the probability distribution #12;Bayesian Statistics · ProbabilityNotes on Frequentist, Maximum Likelihood & Bayesian Statistics #12;Statistical Methods · Probability is a long-term frequency statement about the data ­ if repeated, what proportion of the time would

Ernest, Holly

365

A Short Introduction Probability and Statistics  

E-Print Network [OSTI]

A Short Introduction to Probability and Statistics in Physics Grant W. Mason "Seek simplicity and the Uniform Probability Distribution Work Together . 25 2 Statistics: Pure Math Becomes Applied Math 27 2 probability and statistics, the typical undergraduate curriculum doesn't usually have room for a formal course

Hart, Gus

366

An estimator for statistical anisotropy from the CMB bispectrum  

SciTech Connect (OSTI)

Various data analyses of the Cosmic Microwave Background (CMB) provide observational hints of statistical isotropy breaking. Some of these features can be studied within the framework of primordial vector fields in inflationary theories which generally display some level of statistical anisotropy both in the power spectrum and in higher-order correlation functions. Motivated by these observations and the recent theoretical developments in the study of primordial vector fields, we develop the formalism necessary to extract statistical anisotropy information from the three-point function of the CMB temperature anisotropy. We employ a simplified vector field model and parametrize the bispectrum of curvature fluctuations in such a way that all the information about statistical anisotropy is encoded in some parameters ?{sub LM} (which measure the anisotropic to the isotropic bispectrum amplitudes). For such a template bispectrum, we compute an optimal estimator for ?{sub LM} and the expected signal-to-noise ratio. We estimate that, for f{sub NL} ? 30, an experiment like Planck can be sensitive to a ratio of the anisotropic to the isotropic amplitudes of the bispectrum as small as 10%. Our results are complementary to the information coming from a power spectrum analysis and particularly relevant for those models where statistical anisotropy turns out to be suppressed in the power spectrum but not negligible in the bispectrum.

Bartolo, N.; Dimastrogiovanni, E.; Matarrese, S. [Dipartimento di Fisica ''G. Galilei'', Università degli Studi di Padova, via Marzolo 8, 35131 Padova (Italy); Liguori, M. [Institut d'Astrophysique de Paris, UMR-7095 du CNRS, Université Pierre et Marie Curie, 98 bis bd Arago, 75014 Paris (France); Riotto, A., E-mail: nicola.bartolo@pd.infn.it, E-mail: dimastro@pd.infn.it, E-mail: liguori@iap.fr, E-mail: sabino.matarrese@pd.infn.it, E-mail: riotto@mail.cern.ch [INFN — Sezione di Padova, via Marzolo 8, 35131 Padova (Italy)

2012-01-01T23:59:59.000Z

367

World offshore energy loss statistics  

Science Journals Connector (OSTI)

Offshore operations present a unique set of environmental conditions and adverse exposure not observed in a land environment taking place in a confined space in a hostile environment under the constant danger of catastrophe and loss. It is possible to engineer some risks to a very low threshold of probability, but losses and unforeseen events can never be entirely eliminated because of cost considerations, the human factor, and environmental uncertainty. Risk events occur infrequently but have the potential of generating large losses, as evident by the 2005 hurricane season in the Gulf of Mexico, which was the most destructive and costliest natural disaster in the history of offshore production. The purpose of this paper is to provide a statistical assessment of energy losses in offshore basins using the Willis Energy Loss database. A description of the loss categories and causes of property damage are provided, followed by a statistical assessment of damage and loss broken out by region, cause, and loss category for the time horizon 1970–2004. The impact of the 2004–2005 hurricane season in the Gulf of Mexico is summarized.

Mark J. Kaiser

2007-01-01T23:59:59.000Z

368

Office of Survey Development and Statistical Integration  

U.S. Energy Information Administration (EIA) Indexed Site

Steve Harvey Steve Harvey April 27, 2011 | Washington, D.C. Tough Choices in U.S. EIA's Data Programs Agenda * Office of Oil, Gas, and Coal Supply Statistics * Office of Petroleum and Biofuels Statistics * Office of Electricity, Renewables, and Uranium Statistics * Office of Energy Consumption and Efficiency Statistics * Office of Survey Development and Statistical Integration 2 Presenter name, Presentation location, Presentation date Coal Data Collection Program 3 James Kendell Washington, DC, April 27, 2011 Quarterly Coal Consumption and Quality Report, Manufacturing and Transformation/Processing Coal Plants and Commercial and Institutional Coal Users EIA-3 Quarterly Coal Consumption and Quality Report - Coke Plants EIA-5 Coal Production and Preparation

369

Statistical Mechanics of Resource Allocation  

E-Print Network [OSTI]

We provide a mathematical model to investigate the resource allocation problem for agents, say, university graduates who are looking for their positions in labor markets. The basic model is described by the so-called Potts spin glass which is well-known in the research field of statistical physics. In the model, each Potts spin (a tiny magnet in atomic scale length) represents the action of each student, and it takes a discrete variable corresponding to the company he/she applies for. We construct the energy to include three distinct effects on the students' behavior, namely, collective effect, market history and international ranking of companies. In this model system, the correlations (the adjacent matrix) between students are taken into account through the pairwise spin-spin interactions. We carry out computer simulations to examine the efficiency of the model. We also show that some chiral representation of the Potts spin enables us to obtain some analytical insights into our labor markets.

Inoue, Jun-ichi

2014-01-01T23:59:59.000Z

370

Statistical Performance Modeling of SRAMs  

E-Print Network [OSTI]

Yield analysis is a critical step in memory designs considering a variety of performance constraints. Traditional circuit level Monte-Carlo simulations for yield estimation of Static Random Access Memory (SRAM) cell is quite time consuming due...

Zhao, Chang

2011-02-22T23:59:59.000Z

371

Analysis of International Policies In The Solar Electricity Sector: Lessons for India  

E-Print Network [OSTI]

World Intellectual Property Indicators 2010”. 65 International Energy Agency Statistics,World Resources Institute – Climate Analysis Indicators Tool, data for 2005. 56 International Energy Agency Statistics,

Deshmukh, Ranjit

2011-01-01T23:59:59.000Z

372

A class of multivariate infinitely divisible distributions related to arcsine density  

E-Print Network [OSTI]

and Statistics, Centro de Investigaci´on en Matem´aticas, CIMAT, Apdo. Postal 402, Guanajuato, Gto. 36000, Mexico´evy process {Xt}. This new class includes as a proper subclass the Jurek class of distributions. It is shown "the law of" and {X (µ) t } means a L´evy process on Rd whose distribution at time 1 is µ I(Rd ), (d

Maejima, Makoto

373

Detailed Monthly and Annual LNG Import Statistics (2004-2012...  

Broader source: Energy.gov (indexed) [DOE]

Detailed Monthly and Annual LNG Import Statistics (2004-2012) Detailed Monthly and Annual LNG Import Statistics (2004-2012) Detailed Monthly and Annual LNG Import Statistics...

374

Sequential Logistic Principal Component Analysis (SLPCA): Dimensional Reduction in Streaming Multivariate Binary-State System  

E-Print Network [OSTI]

reg ated Sta te B. Building End-Use Energy Modeling Here, weof SLPCA in Building Energy End-Use Modeling. Building End-algorithm in building energy end-use modeling. A PPENDIX

Kang, Zhaoyi; Spanos, Costas J

2014-01-01T23:59:59.000Z

375

Multivariate analysis of homogeneous nucleation rate measurements. Nucleation in the p-toluic acid/sulfuric acid/water system  

E-Print Network [OSTI]

occur through various mecha- nisms of gas to particle conversion.1 Early models were lim- ited almost to be important for applications exceeds the predic- tive capability of phenomenological nucleation theories in

376

A multivariate analysis of the energy intensity of sprawl versus compact living in the U.S. for 2003  

E-Print Network [OSTI]

Household energy consumption Sprawl Compact living Energy impact We explore the energy intensity of sprawl versus compact living by analyzing the total energy requirements of U.S. households for the year 2003. The methods used are based on previous studies on energy cost of living. Total energy requirement

Vermont, University of

377

IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. XX, NO. X, MONTH XXXX 1 Multivariate slow feature analysis and  

E-Print Network [OSTI]

: correlations with original sources:0.9985, 0.9999, 0.9877, 0.9975 Number of sources is different from number

Minh, Ha Quang

378

Statistical assessment of Monte Carlo distributional tallies  

SciTech Connect (OSTI)

Four tests are developed to assess the statistical reliability of distributional or mesh tallies. To this end, the relative variance density function is developed and its moments are studied using simplified, non-transport models. The statistical tests are performed upon the results of MCNP calculations of three different transport test problems and appear to show that the tests are appropriate indicators of global statistical quality.

Kiedrowski, Brian C [Los Alamos National Laboratory; Solomon, Clell J [Los Alamos National Laboratory

2010-12-09T23:59:59.000Z

379

Workforce Statistics - NNSA | National Nuclear Security Administration  

National Nuclear Security Administration (NNSA)

NNSA | National Nuclear Security Administration NNSA | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Workforce Statistics - NNSA Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NNSA Workforce Statistics - NNSA NNSA FY13 NNSA Semi Annual Workforce Diversity Report

380

Probability, Statistics, and the Theory of Errors  

Science Journals Connector (OSTI)

1 June 1933 research-article Probability, Statistics, and the Theory of Errors Harold Jeffreys The Royal Society is collaborating with JSTOR to digitize, preserve, and extend access...

1933-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

AVIAN/WIND STATISTICAL PEER REVIEW PROJECT  

E-Print Network [OSTI]

AVIAN/WIND STATISTICAL PEER REVIEW PROJECT Prepared for: California Energy Commission Prepared by............................................................................................................................................ 1 SELECTION OF PEER REVIEW TEAMS .............................................................................................................................. 2 TECHNICAL EXPERTISE OF PEER REVIEW TEAMS

382

Spatio-temporal statistical models with applications to atmospheric processes  

SciTech Connect (OSTI)

This doctoral dissertation is presented as three self-contained papers. An introductory chapter considers traditional spatio-temporal statistical methods used in the atmospheric sciences from a statistical perspective. Although this section is primarily a review, many of the statistical issues considered have not been considered in the context of these methods and several open questions are posed. The first paper attempts to determine a means of characterizing the semiannual oscillation (SAO) spatial variation in the northern hemisphere extratropical height field. It was discovered that the midlatitude SAO in 500hPa geopotential height could be explained almost entirely as a result of spatial and temporal asymmetries in the annual variation of stationary eddies. It was concluded that the mechanism for the SAO in the northern hemisphere is a result of land-sea contrasts. The second paper examines the seasonal variability of mixed Rossby-gravity waves (MRGW) in lower stratospheric over the equatorial Pacific. Advanced cyclostationary time series techniques were used for analysis. It was found that there are significant twice-yearly peaks in MRGW activity. Analyses also suggested a convergence of horizontal momentum flux associated with these waves. In the third paper, a new spatio-temporal statistical model is proposed that attempts to consider the influence of both temporal and spatial variability. This method is mainly concerned with prediction in space and time, and provides a spatially descriptive and temporally dynamic model.

Wikle, C.K.

1996-12-31T23:59:59.000Z

383

Taught Postgraduate programmes in the School of Mathematics and Statistics  

E-Print Network [OSTI]

, and graduate employment is close to 100%. Statistics and Mathematics are fascinating subjects that haveTaught Postgraduate programmes in the School of Mathematics and Statistics ·Advanced Statistics (MRes) ·Biostatistics (MSc) ·Environmental Statistics (MSc) ·Social Statistics (MSc) ·Statistics (MSc

Guo, Zaoyang

384

STATISTICS IN MEDICINE Statist. Med. 2001; 20:24092420 (DOI: 10.1002/sim.910)  

E-Print Network [OSTI]

STATISTICS IN MEDICINE Statist. Med. 2001; 20:2409­2420 (DOI: 10.1002/sim.910) Optimal estimation ÿngerprints. We propose a model for the probability that an individual's ÿngerprint will change over a given

Rosenberg, Noah

385

SCHOOL OF MATHEMATICS AND STATISTICS Spring Semester MAS273 Statistical Modelling 2 hours  

E-Print Network [OSTI]

Continued #12;MAS273 3 (i) Agriculturists in Sheffield were interested in the effectiveness of 3 insectiMAS273 SCHOOL OF MATHEMATICS AND STATISTICS Spring Semester 2012­2013 MAS273 Statistical Modelling

386

Bureau of Justice Statistics Program Report  

E-Print Network [OSTI]

Bureau of Justice Statistics Program Report July 2006, NCJ 211485 U.S. Department of Justice Office security, employment, licensing, and related economic purposes, as required under recent legislation. The Bureau of Justice Statistics' National Criminal History Improvement Program (NCHIP) provides grants

Hemmers, Oliver

387

Inga Maslova Department of Mathematics and Statistics  

E-Print Network [OSTI]

Inga Maslova Department of Mathematics and Statistics American University, Washington, D.C. 20016 Phone: (202) 885-3132 E-mail: Maslova@american.edu EMPLOYMENT American University, Washington D.C., USA Assistant Professor, Department of Mathematics and Statistics Sept 2009 ­ present Utah State University

Lansky, Joshua

388

Statistical Review of California's Organic Agriculture  

E-Print Network [OSTI]

Statistical Review of California's Organic Agriculture 2005 ­ 2009 Karen Klonsky Kurt Richter Agricultural Issues Center University of California March 2011 #12;Statistical Review of California's Organic Agriculture 2005 ­ 2009 Karen Klonsky Extension Specialist Department of Agricultural and Resource Economics

Ferrara, Katherine W.

389

Grant review of statistical methodology at BMRD  

E-Print Network [OSTI]

Grant review of statistical methodology at BMRD Jeremy M G Taylor University of Michigan #12;Outline 1) Statistical methods grants at NIH 2) BMRD, miconceptions 3) Recent BMRD events 4) BMRD description update 5) The review process 6) Types of grants at BMRD 7) The review criteria 8) Tips on grant

Carlin, Bradley P.

390

BP Statistical Review of World Energy  

E-Print Network [OSTI]

conversion factors 44 Definitions 45 Further information Find out more online BP Statistical Review of-specific data according to energy type, region and year. · An oil, natural gas and LNG conversion calculatorBP Statistical Review of World Energy June 2008 #12;Introduction 1 Group chief executive

Laughlin, Robert B.

391

New statistical atom: A numerical study  

Science Journals Connector (OSTI)

The new differential equation for the statistical atom is derived and discussed in detail. Numerical results are presented which provide evidence for the validity of all approximations that have entered the formalism. A comparison of experimental data for diamagnetic susceptibilities with theoretical predictions shows that the new statistical atom significantly surpasses its Hartree-Fock competitor.

Berthold-Georg Englert and Julian Schwinger

1984-05-01T23:59:59.000Z

392

Hamiltonian Structure and Statistically Relevant Conserved Quantities  

E-Print Network [OSTI]

power. This additional conserved quantity, beyond the energy, has been ignored in previ- ous statistical of the Hamiltonian beyond that of the energy. First, an ap- propriate statistical theory is developed that includes in contemporary science ranging from short-term climate prediction for the coupled atmosphere-ocean system

Majda, Andrew J.

393

New Statistical Techniques in the Measurement of the inclusive Top Pair Production Cross Section  

E-Print Network [OSTI]

We present several different types of multivariate statistical techniques used in the measurement of the inclusive top pair production cross section in $p \\bar{p}$-collisions at $\\sqrt{s} = 1.96 \\text{TeV}$ employing the full RunII data ($9.7\\textrm{fb}^{-1}$) collected with the D0 detector at the Fermilab Tevatron Collider. We consider the final state of the top quark pair decays containing one electron or muon and at least two jets. We proceed various statistical homogeneity tests such as Anderson - Darling, Kolmogorov - Smirnov, and $\\varphi$-divergences tests to determine, which variables have good data-MC agreement, as well as a good separation power. We adjusted all tests for using weighted empirical distribution functions. Further we separate $t\\bar{t}$ signal from the background by the application of Generalized Linear Models, Gaussian Mixture Models), Neural Networks with Switching Units and confront them with familiar methods from ROOT TMVA package such as Boosted Decision Trees, and Multi-layer Per...

Franc, Ji?í; Št?pánek, Michal; K?s, Václav

2014-01-01T23:59:59.000Z

394

STATISTICAL METHODS FOR RELATING TEMPERATURE EXTREMES TO LARGE-SCALE METEOROLOGICAL PATTERNS  

E-Print Network [OSTI]

1 STATISTICAL METHODS FOR RELATING TEMPERATURE EXTREMES TO LARGE-SCALE METEOROLOGICAL PATTERNS Rick Extreme Value Analysis: Block Maxima (3) Conditional Extreme Value Analysis: Peaks over Threshold (4) Application to California Temperature Extremes (5) Remaining Work #12;3 #12;4 #12;5 (1) Introduction

Katz, Richard

395

NKU Department of Mathematics and Statistics, Nunn Drive MEP 401, Highland Heights, KY 41099. Dr. Roger Zarnowski, Chair. ph: 859.572.5733, fax: 859.572.6097. math.nku.edu Sta Major Checklist 2013-2014.doc Updated9/18/2013  

E-Print Network [OSTI]

STA 250 Probability and Statistics I STA 314 Design and Analysis of Experiments STA 341 Statistics Introduction to Time Series Analysis STA 340 Probability II STA 370 Introduction to Statistical Consulting STANKU Department of Mathematics and Statistics, Nunn Drive MEP 401, Highland Heights, KY 41099. Dr

Acosta, Charles A.

396

Complex statistics and diffusion in nonlinear disordered particle chains  

SciTech Connect (OSTI)

We investigate dynamically and statistically diffusive motion in a Klein-Gordon particle chain in the presence of disorder. In particular, we examine a low energy (subdiffusive) and a higher energy (self-trapping) case and verify that subdiffusive spreading is always observed. We then carry out a statistical analysis of the motion, in both cases, in the sense of the Central Limit Theorem and present evidence of different chaos behaviors, for various groups of particles. Integrating the equations of motion for times as long as 10{sup 9}, our probability distribution functions always tend to Gaussians and show that the dynamics does not relax onto a quasi-periodic Kolmogorov-Arnold-Moser torus and that diffusion continues to spread chaotically for arbitrarily long times.

Antonopoulos, Ch. G., E-mail: chris.antonopoulos@abdn.ac.uk [Institute for Complex Systems and Mathematical Biology (ICSMB), Department of Physics, University of Aberdeen, AB24 3UE Aberdeen (United Kingdom); Bountis, T., E-mail: bountis@math.upatras.gr [Center for Research and Applications of Nonlinear Systems (CRANS), Department of Mathematics, University of Patras, 26500 Patras (Greece); Skokos, Ch., E-mail: haris.skokos@uct.ac.za [Department of Mathematics and Applied Mathematics, University of Cape Town, Rondebosch, Cape Town 7701 (South Africa); Department of Physics, Aristotle University of Thessaloniki, 54124 Thessaloniki (Greece); Drossos, L., E-mail: ldrossos@teimes.gr [High Performance Computing Systems Lab (HPCS lab), Department of Computer and Informatics Engineering, Technological Educational Institute of Western Greece, 30300 Antirion (Greece)

2014-06-15T23:59:59.000Z

397

A quasi-diagonal approach to the estimation of Lyapunov spectra for spatio-temporal systems from multivariate time series  

E-Print Network [OSTI]

We describe methods of estimating the entire Lyapunov spectrum of a spatially extended system from multivariate time-series observations. Provided that the coupling in the system is short range, the Jacobian has a banded structure and can be estimated using spatially localised reconstructions in low embedding dimensions. This circumvents the ``curse of dimensionality'' that prevents the accurate reconstruction of high-dimensional dynamics from observed time series. The technique is illustrated using coupled map lattices as prototype models for spatio-temporal chaos and is found to work even when the coupling is not strictly local but only exponentially decaying.

R. Carretero-González; S. Ørstavik; J. Stark

2000-04-06T23:59:59.000Z

398

CDF measurement of the top quark mass in the lepton + jets channel using the multivariate template method  

SciTech Connect (OSTI)

The authors measure the mass of the top quark using 162 pb{sup -1} of data collected by the CDF experiment at FNAL in Run II. The decay chain t{bar t} {yields} bq{bar q}{bar b}lv is studied using a novel technique called the Multivariate Template Method (MTM). Using this technique they obtain a result of M{sub top} = 179.6{sub -6.3}{sup +6.4} {+-} 6.8 GeV/c{sup 2} for the top quark.

Freeman, John; /Fermilab

2004-12-01T23:59:59.000Z

399

STATISTICAL ANALYSIS OF HIGH-FREQUENCY DECIMETRIC TYPE III BURSTS  

E-Print Network [OSTI]

-970 São José dos Campos, SP, Brazil 2Institute of Astronomy, ETH, CH 8092 Zürich, Switzerland (Received 6 that the acceleration of the parti- cles and/or energy release to the flares is occurring around densities of the or observations renewed the interest in the decimetric obser- vations above 1000 MHz, with high sensitivity

400

A statistical analysis of lead concentrations in human lung samples  

E-Print Network [OSTI]

has been recognized for many years, it is still widely used in commercial products such as insecticides, paint pigments, glazed pottery, storage batteries, and as an automobile gasoline additive. The symptoms of overt lead intoxication... is characteristic of the action of lead in physiological The citations on the following pages follow the style of Archives of Environmental Health. systems. The active site of this enzyme is actually lipoic acid, a coenzyme bound to the enzyme by a peptide...

Stringer, Claude Allen

2012-06-07T23:59:59.000Z

Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Statistical Power Grid Analysis by Stochastic Extended Krylov Subspace Method  

Science Journals Connector (OSTI)

In this chapter, we present a stochastic method for analyzing the voltage drop variations of on-chip power grid networks with log-normal leakage current variations,...StoEKS...and which still applies the spectral...

Ruijing Shen; Sheldon X.-D. Tan; Hao Yu

2012-01-01T23:59:59.000Z

402

Statistical Analysis For FEM EEG Source Localization in  

E-Print Network [OSTI]

Weinstein and Chris Johnson Email: zhukov@cs.utah.edu, dmw@cs.utah.edu, crj@cs.utah.edu UUCS-2000-003 Center

Utah, University of

403

NECEC 2008 1 of 5 Statistical Analysis of Operational and  

E-Print Network [OSTI]

of adding wind power generation to traditional diesel generation and photovoltaics. This paper specifically was powered solely by diesel generators with battery banks until solar power was introduced in the early 1990 small wind turbines for off- grid power production in isolated, harsh environments is the subject

Bruneau, Steve

404

Statistical analysis of solar irradiation in a distributed microgrid  

E-Print Network [OSTI]

energy production in the United States, the issues of solarenergy production in the United States, the issue of solar

Harper, James Patrick

2010-01-01T23:59:59.000Z

405

Statistical static timing analysis considering process variations and crosstalk  

E-Print Network [OSTI]

Increasing relative semiconductor process variations are making the prediction of realistic worst-case integrated circuit delay or sign-off yield more difficult. As process geometries shrink, intra-die variations have become dominant...

Veluswami, Senthilkumar

2005-11-01T23:59:59.000Z

406

Statistical analysis of end-points in cancer clinical trials  

E-Print Network [OSTI]

of scores ? The Mann-Whitney test ? The Kruskal-Wallis test ? Regression methods The tests will be reviewed in turn, and their underlying assumptions, their advantages and their disadvantages will be examined. A sample set of data, shown in Table 2...

Campbell, Ian

407

Statistical Shape Descriptors for Ancient Maya Hieroglyphs Analysis  

E-Print Network [OSTI]

Prof. Jean-Philippe Thiran, rapporteur Prof. Stéphane Marchand-Maillet, rapporteur Dr. Changhu Wang. Sabine Susstrunk, Prof. Jean- Philippe Thiran, Prof. Stéphane Marchand-Maillet, and Dr. Changhu Wang

408

An economic and statistical analysis of pecan prices  

E-Print Network [OSTI]

(shelled basis): Per Capita Consump- tion, Crop Year Average 1950-54 and 1955-59 and 1960-77 Prices and Total Revenues for Various Quantities for a Straight Line Demand Curve With an Average Elasticity of Unity 37 Correlation Matrix of U. S. Improved... = 0. 782 2 d = 1. 62 where X U. S. average farm price of pecans (cents per pound) 1 deflated by the Consumer Price Index (1947-49 = 100); X U. S. net supply of pecans (pounds per capita); X3 = index of per capita disposable income (1947-49 = 100...

Hertel, Karlene Sharon

2012-06-07T23:59:59.000Z

409

Strong Langmuir turbulence in a pulsar emission region: statistical analysis  

Science Journals Connector (OSTI)

......Shapiro Shevshenko (1984) and Sudan (1984) (Chapters 5.3...function of the electrostatic and thermal energies. In the definition...proposed by Kingsep, Rudakov Sudan (1973) a long time ago: in...A. S. , Rudakov L. I., Sudan R. N., 1973, Phys. Rev......

Estelle Asseo; Anna Porzio

2006-07-01T23:59:59.000Z

410

Advanced statistical methods for analysis of NDE data.  

E-Print Network [OSTI]

??Nondestructive Evaluation (NDE) is a quality-ensuring technique widely used in modern industry. For example, ultrasonic inspection is a routine NDE method to detect flaws/defects in… (more)

Wang, Yurong

2006-01-01T23:59:59.000Z

411

Optimal Statistical Methods for Analysis of Single-Molecule Data  

E-Print Network [OSTI]

5 Application to Single Molecule Trajectories 5.1 Maximum13 Methods and Materials 13.1 A server-based single-moleculeto-End Distance on Single-Molecule Experi- ment Time Scales

Watkins, Lucas

2009-01-01T23:59:59.000Z

412

A statistical analysis of passive solar superinsulated homes in Minnesota  

SciTech Connect (OSTI)

This study analyzed the space heat performance of 46 passive solar superinsulated homes whose construction was financed by the Minnesota Housing Finance Agency (MHFA). heat gain and loss calculations were used to predict the auxiliary heating energy required by the houses. These calculations were adjusted for actual weather conditions, thermostat settings and other variables during the 1981-1982 heating season. The sample was divided into two sub-samples, one containing houses with ratios of south glass area relative to floor area of 8.5% or larger, and a second with smaller ratios of south glass area to floor area. The results suggest that houses with larger south glass area relative to floor area may not perform as predicted. These houses appeared to have more heat loss than heat gain associated with the south windows. In the houses with less south facing glass, the passive solar components appeared to perform as predicted.

Fugerson, M.; Lancaster, R.

1983-06-01T23:59:59.000Z

413

The Low energy structure of the Nucleon-Nucleon interaction: Statistical vs Systematic Uncertainties  

E-Print Network [OSTI]

We analyze the low energy NN interaction by extracting threshold parameters uncertainties from the coupled channel effective range expansion up to j $\\leq$ 5. This is based on the Granada-2013 database where a statistically meaningful partial wave analysis comprising a total of 6713 np and pp published scattering data from 1950 till 2013 below pion production threshold has been made. We find that for threshold parameters systematic uncertainties are generally at least an order of magnitude larger than statistical uncertainties.

R. Navarro Perez; J. E. Amaro; E. Ruiz Arriola

2014-12-12T23:59:59.000Z

414

Line-robust statistics for continuous gravitational waves: safety in the case of unequal detector sensitivities  

E-Print Network [OSTI]

The multi-detector F-statistic is close to optimal for detecting continuous gravitational waves (CWs) in Gaussian noise. However, it is susceptible to false alarms from instrumental artefacts, for example quasi-monochromatic disturbances ('lines'), which resemble a CW signal more than Gaussian noise. In a recent paper [KPPLS2014], a Bayesian model selection approach was used to derive line-robust detection statistics for CW signals, generalising both the F-statistic and the F-statistic consistency veto technique and yielding improved performance in line-affected data. Here we investigate a generalisation of the assumptions made in that paper: if a CW analysis uses data from two or more detectors with very different sensitivities, the line-robust statistics could be less effective. We investigate the boundaries within which they are still safe to use, in comparison with the F-statistic. Tests using synthetic draws show that the optimally-tuned version of the original line-robust statistic remains safe in most cases of practical interest. We also explore a simple idea on further improving the detection power and safety of these statistics, which we however find to be of limited practical use.

David Keitel; Reinhard Prix

2014-09-09T23:59:59.000Z

415

Forecasting aggregate demand: Analytical comparison of top-down and bottom-up approaches in a multivariate exponential smoothing framework  

Science Journals Connector (OSTI)

Abstract Forecasting aggregate demand represents a crucial aspect in all industrial sectors. In this paper, we provide the analytical prediction properties of top-down (TD) and bottom-up (BU) approaches when forecasting the aggregate demand using a multivariate exponential smoothing as demand planning framework. We extend and generalize the results achieved by Widiarta et al. (2009) by employing an unrestricted multivariate framework allowing for interdependency between its variables. Moreover, we establish the necessary and sufficient condition for the equality of mean squared errors (MSEs) of the two approaches. We show that the condition for the equality of \\{MSEs\\} holds even when the moving average parameters of the individual components are not identical. In addition, we show that the relative forecasting accuracy of TD and BU depends on the parametric structure of the underlying framework. Simulation results confirm our theoretical findings. Indeed, the ranking of TD and BU forecasts is led by the parametric structure of the underlying data generation process, regardless of possible misspecification issues.

Giacomo Sbrana; Andrea Silvestrini

2013-01-01T23:59:59.000Z

416

Statistical regimes of random laser fluctuations  

SciTech Connect (OSTI)

Statistical fluctuations of the light emitted from amplifying random media are studied theoretically and numerically. The characteristic scales of the diffusive motion of light lead to Gaussian or power-law (Levy) distributed fluctuations depending on external control parameters. In the Levy regime, the output pulse is highly irregular leading to huge deviations from a mean-field description. Monte Carlo simulations of a simplified model which includes the population of the medium demonstrate the two statistical regimes and provide a comparison with dynamical rate equations. Different statistics of the fluctuations helps to explain recent experimental observations reported in the literature.

Lepri, Stefano [Istituto dei Sistemi Complessi, Consiglio Nazionale delle Ricerche, via Madonna del Piano 10, I-50019 Sesto Fiorentino (Italy); Cavalieri, Stefano [Dipartimento di Fisica, Universita di Firenze, via G. Sansone 1, I-50019 Sesto Fiorentino (Italy); European Laboratory for Non-linear Spectroscopy, via N. Carrara 1, I-50019 Sesto Fiorentino (Italy); Oppo, Gian-Luca [SUPA and Department of Physics, University of Strathclyde, 107 Rottenrow, Glasgow, G4 0NG, Scotland (United Kingdom); Wiersma, Diederik S. [European Laboratory for Non-linear Spectroscopy, via N. Carrara 1, I-50019 Sesto Fiorentino (Italy); BEC-INFM Center, I-38050 Povo, Trento (Italy)

2007-06-15T23:59:59.000Z

417

Blinking Statistics of Silicon Quantum Dots  

Science Journals Connector (OSTI)

These results are in contrast to many other publications, which present statistical aging in QD ensembles in accordance with power-law blinking statistics. ... Specifically, with improved time resoln., trajectory durations, and photon statistics, we report a near-exponential falloff of on-time probability distributions at long times. ... Investigation of this falloff behavior as a function of laser wavelength and power demonstrate that these deviations originate from multiexciton dynamics, whose formation probabilities can be very low on a "per laser pulse" basis, but become nearly unity on the time scales of the longest on-times. ...

Benjamin Bruhn; Jan Valenta; Fatemeh Sangghaleh; Jan Linnros

2011-11-22T23:59:59.000Z

418

Image texture analysis of elastograms  

E-Print Network [OSTI]

generated elastograms to obtain effective texture features. Four image analysis techniques, co-occurrence statistics, wavelet decomposition, fractal analysis and granulomeay are used to extract a number of features from each image. The inclusions...-RESOLUTION FRACTAL ANALYSIS . . . . . . E. GRANULOMETRIC FEATURES . . F. DATA NORMALIZATION . G. SEPARABILITY MEASURE 13 13 . . . . . 14 . . . . . 20 . . . . . 29 33 36 36 IV TEXTURE ANALYSIS OF SIMULATED ELASTOGRAMS. . . . . . . . . . . 38 A. SIMULATION...

Hussain, Fasahat

2012-06-07T23:59:59.000Z

419

Uncertainties beyond statistics in Monte Carlo simulations  

Science Journals Connector (OSTI)

......temperatures relevant to reactor operating conditions...hydrogen in light water, deuterium in heavy water, hydrogen in solid...beginning to include advanced statistical techniques...Temperature Gas Cooled Reactor(7). Figure-3......

H. Grady Hughes

2007-08-01T23:59:59.000Z

420

STATISTICS 590 STUDENT EXPERIMENTAL DESIGN PROJECT  

E-Print Network [OSTI]

STATISTICS 590 STUDENT EXPERIMENTAL DESIGN PROJECT SPRING 2010 1. Project You are to design with me as needed. 2. Procedures and Dates A one-page sketch, containing the essential elements

Buyske, Steve

Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Kansas Statistical Abstract 2007 (42nd Edition)  

E-Print Network [OSTI]

The Kansas Statistical Abstract contains state, county, and city-level data for Kansas on agriculture, banking and finance, business and exports, climate, communications and information, crime, education, employment and ...

Policy Research Institute

2008-10-21T23:59:59.000Z

422

Kansas Statistical Abstract 2009 (44th Edition)  

E-Print Network [OSTI]

The Kansas Statistical Abstract contains state, county, and city-level data for Kansas on agriculture, banking and finance, business and exports, climate, communications and information, crime, education, employment and ...

Policy Research Institute

2011-03-02T23:59:59.000Z

423

Statistical Models for Next Generation Sequencing Data  

E-Print Network [OSTI]

prior indexed by distances from Gene Ontology (GO). The use of the external biological information yields improvements in statistical power over the original Bayesian discovery procedure. The third model addresses the problem of identifying protein...

Wang, Yiyi

2013-04-01T23:59:59.000Z

424

Statistical Downscaling Using Localized Constructed Analogs (LOCA)  

Science Journals Connector (OSTI)

A new technique for statistically downscaling climate model simulations of daily temperature and precipitation is introduced and demonstrated over the western United States. The localized constructed analogs (LOCA) method produces downscaled ...

David W. Pierce; Daniel R. Cayan; Bridget L. Thrasher

2014-12-01T23:59:59.000Z

425

Improving Statistical Machine Translation with monolingual collocation  

Science Journals Connector (OSTI)

This paper proposes to use monolingual collocations to improve Statistical Machine Translation (SMT). We make use of the collocation probabilities, which are estimated from monolingual corpora, in two aspects, namely improving word alignment for various ...

Zhanyi Liu; Haifeng Wang; Hua Wu; Sheng Li

2010-07-01T23:59:59.000Z

426

Kansas Statistical Abstract 2008 (43rd Edition)  

E-Print Network [OSTI]

The Kansas Statistical Abstract contains state, county, and city-level data for Kansas on agriculture, banking and finance, business and exports, climate, communications and information, crime, education, employment and ...

Policy Research Institute

2009-09-21T23:59:59.000Z

427

FRAMES Software System: Linking to the Statistical Package R  

SciTech Connect (OSTI)

This document provides requirements, design, data-file specifications, test plan, and Quality Assurance/Quality Control protocol for the linkage between the statistical package R and the Framework for Risk Analysis in Multimedia Environmental Systems (FRAMES) Versions 1.x and 2.0. The requirements identify the attributes of the system. The design describes how the system will be structured to meet those requirements. The specification presents the specific modifications to FRAMES to meet the requirements and design. The test plan confirms that the basic functionality listed in the requirements (black box testing) actually functions as designed, and QA/QC confirms that the software meets the client’s needs.

Castleton, Karl J.; Whelan, Gene; Hoopes, Bonnie L.

2006-12-11T23:59:59.000Z

428

Nonequilibrium quantum statistical mechanics and thermodynamics  

E-Print Network [OSTI]

The purpose of this work is to discuss recent progress in deriving the fundamental laws of thermodynamics (0th, 1st and 2nd-law) from nonequilibrium quantum statistical mechanics. Basic thermodynamic notions are clarified and different reversible and irreversible thermodynamic processes are studied from the point of view of quantum statistical mechanics. Special emphasis is put on new adiabatic theorems for steady states close to and far from equilibrium, and on investigating cyclic thermodynamic processes using an extension of Floquet theory.

Walid K. Abou Salem

2006-01-23T23:59:59.000Z

429

The Annals of Statistics 2003, Vol. 31, No. 6, 20132035  

E-Print Network [OSTI]

rate while maximizing the probability of detecting an effect when one really exists. In statisticalThe Annals of Statistics 2003, Vol. 31, No. 6, 2013­2035 © Institute of Mathematical Statistics and disadvantages of the pFDR and investigate its statistical properties. When assuming the test statistics follow

Storey, John D.

430

Multivariate Optimization of Supercritical Fluid Derivatization and Extraction of Phenol in Soil Samples  

Science Journals Connector (OSTI)

......Benedicto, N.S. Dpdhiwala, R. Young, and W.F. Beckert...Onuska, K.A. Terry, and R.J. Wilkinson. The analysis...Johnson, and M.E.P. McNally. Modifier effects in the...Levy, L. D o l a t a , R . M . Ravey, E. Storozynsky...Hills, H . H . Hill, Jr., and T. Maeda. Si......

M.P. Llompart; R.A. Lorenzo; R. Cela

431

Laser photon statistics in the feedback loop  

E-Print Network [OSTI]

A mere correspondence between the electron statistics and the photon one vanishes in the feedback loop (FBL). It means that the direct photodetection, supplying us with the electron statistics, does not provide us with a wished information about the laser photon statistics. For getting this information we should think up another measurement procedure, and we in the article suggest applying the three-level laser as a auxiliary measuring device. This laser has impressive property, namely, its photon statistics survive information about the initial photon statistics of the laser which excites coherently the three-level medium. Thus, if we choose the laser in the FBL as exciting the three-level laser, then we have an possibility to evaluate its initial photon statistics by means of direct detecting the three-level laser emission. Finally, this approach allows us to conclude the feedback is not capable of creating a regularity in the laser light beam. Contrary, the final photon fluctuations turn out to be always even bigger. The mentioned above feature of the three-level laser takes place only for the strong interaction between the lasers (exciting and excited). It means the initial state of the exciting laser is changed dramatically, so our measurement procedure can not be identified with some non-demolition one.

T. Yu. Golubeva; Yu. M. Golubev

2005-04-23T23:59:59.000Z

432

Statistics of particle time-temperature histories.  

SciTech Connect (OSTI)

Particles in non - isothermal turbulent flow are subject to a stochastic environment tha t produces a distribution of particle time - temperature histories. This distribution is a function of the dispersion of the non - isothermal (continuous) gas phase and the distribution of particles relative to that gas phase. In this work we extend the one - dimensional turbulence (ODT) model to predict the joint dispersion of a dispersed particle phase and a continuous phase. The ODT model predicts the turbulent evolution of continuous scalar fields with a model for the cascade of fluctuations to smaller sc ales (the 'triplet map') at a rate that is a function of the fully resolved one - dimens ional velocity field . Stochastic triplet maps also drive Lagrangian particle dispersion with finite Stokes number s including inertial and eddy trajectory - crossing effect s included. Two distinct approaches to this coupling between triplet maps and particle dispersion are developed and implemented along with a hybrid approach. An 'instantaneous' particle displacement model matches the tracer particle limit and provide s an accurate description of particle dispersion. A 'continuous' particle displacement m odel translates triplet maps into a continuous velocity field to which particles respond. Particles can alter the turbulence, and modifications to the stochastic rate expr ession are developed for two - way coupling between particles and the continuous phase. Each aspect of model development is evaluated in canonical flows (homogeneous turbulence, free - shear flows and wall - bounded flows) for which quality measurements are ava ilable. ODT simulations of non - isothermal flows provide statistics for particle heating. These simulations show the significance of accurately predicting the joint statistics of particle and fluid dispersion . Inhomogeneous turbulence coupled with the in fluence of the mean flow fields on particles of varying properties alter s particle dispersion. The joint particle - temperature dispersion leads to a distribution of temperature histories predicted by the ODT . Predictions are shown for the lower moments an d the full distributions of the particle positions, particle - observed gas temperatures and particle temperatures. An analysis of the time scales affecting particle - temperature interactions covers Lagrangian integral time scales based on temperature autoco rrelations, rates of temperature change associated with particle motion relative to the temperature field and rates of diffusional change of temperatures. These latter two time scales have not been investigated previously; they are shown to be strongly in termittent having peaked distributions with long tails. The logarithm of the absolute value of these time scales exhibits a distribution closer to normal. A cknowledgements This work is supported by the Defense Threat Reduction Agency (DTRA) under their Counter - Weapons of Mass Destruction Basic Research Program in the area of Chemical and Biological Agent Defeat under award number HDTRA1 - 11 - 4503I to Sandia National Laboratories. The authors would like to express their appreciation for the guidance provi ded by Dr. Suhithi Peiris to this project and to the Science to Defeat Weapons of Mass Destruction program.

Hewson, John C.; Lignell, David O.; Sun, Guangyuan

2014-10-01T23:59:59.000Z

433

Statistical mechanics of complex neural systems and high dimensional data  

Science Journals Connector (OSTI)

Recent experimental advances in neuroscience have opened new vistas into the immense complexity of neuronal networks. This proliferation of data challenges us on two parallel fronts. First, how can we form adequate theoretical frameworks for understanding how dynamical network processes cooperate across widely disparate spatiotemporal scales to solve important computational problems? Second, how can we extract meaningful models of neuronal systems from high dimensional datasets? To aid in these challenges, we give a pedagogical review of a collection of ideas and theoretical methods arising at the intersection of statistical physics, computer science and neurobiology. We introduce the interrelated replica and cavity methods, which originated in statistical physics as powerful ways to quantitatively analyze large highly heterogeneous systems of many interacting degrees of freedom. We also introduce the closely related notion of message passing in graphical models, which originated in computer science as a distributed algorithm capable of solving large inference and optimization problems involving many coupled variables. We then show how both the statistical physics and computer science perspectives can be applied in a wide diversity of contexts to problems arising in theoretical neuroscience and data analysis. Along the way we discuss spin glasses, learning theory, illusions of structure in noise, random matrices, dimensionality reduction and compressed sensing, all within the unified formalism of the replica method. Moreover, we review recent conceptual connections between message passing in graphical models, and neural computation and learning. Overall, these ideas illustrate how statistical physics and computer science might provide a lens through which we can uncover emergent computational functions buried deep within the dynamical complexities of neuronal networks.

Madhu Advani; Subhaneil Lahiri; Surya Ganguli

2013-01-01T23:59:59.000Z

434

Probability Theory and Classical Statistics Statistical inference rests on probability theory, and so an in-depth under-  

E-Print Network [OSTI]

2 Probability Theory and Classical Statistics Statistical inference rests on probability theory, often divorce statistics and probability early with the emphasis placed on basic statistical modeling (e to statistics as it is commonly applied in social science research. 2.1 Rules of probability Defining

Gribble, Paul

435

Comparing Survival Curves Using an Easy to Interpret Statistic  

Science Journals Connector (OSTI)

...use of the Mann-Whitney statistic. Proceedings of the Third...Symposium on Mathematical Statistics and Probability (University of California...Symposium on Mathematical Statistics and Probability (University of California...

Kenneth R. Hess

2010-10-15T23:59:59.000Z

436

Course Information Probability and Statistics for Mechanical Engineers  

E-Print Network [OSTI]

Course Information Probability and Statistics for Mechanical Engineers ENG ME 366 Spring 2011 Course Description Principles of probability and statistics including events, Bayes' theorem, random probability and statistics. 2. Develop an appreciation of the fact that lack of complete, deterministic

437

Regional statistics in confined two-dimensional decaying turbulence  

Science Journals Connector (OSTI)

...evolution of Eulerian statistics of vorticity and pressure...Gaussian vorticity probability distribution function...study, the Lagrangian statistics of the same problem...85.752 ) Regional statistics in confined two-dimensional...Boltzmann method. The probability density function...

2011-01-01T23:59:59.000Z

438

Course Information Course Name Probability and Statistics for Mechanical Engineers  

E-Print Network [OSTI]

Course Information Course Name Probability and Statistics for Mechanical Engineers Course Number ENG ME 366 Semester Fall 2014 Course Description Principles of probability and statistics including. Acquire knowledge of introductory probability and statistics. 2. Develop an appreciation of the fact

Lin, Xi

439

An integrated multivariate approach for performance assessment and optimisation of electricity transmission systems  

Science Journals Connector (OSTI)

This article introduces an integrated approach based on data envelopment analysis (DEA) and principal component analysis (PCA) for efficiency assessment, and optimisation in transmission systems that have been responsible for the transmission of electricity in Iran to show its applicability and superiority. Performance of 16 regional electricity companies was evaluated using the non-parametric technique of DEA. The result indicates that the performance of several companies is sub-optimal, suggesting the potential for significant cost reduction and reduction in employee number. The optimisation procedure in this article is followed from two different viewpoints, i.e. input efficiency and -cost. The result of DEA model is verified and validated by PCA through Spearman correlation experiment. Moreover, the proposed approach uses the measure-specific super-efficiency DEA model for sensitivity analysis to determine the critical inputs based on efficiency and cost allocation super-efficiency DEA model to determine the critical inputs based on cost. The unique feature of this study is utilisation of DEA model for assessment and determination of critical inputs and optimisation for the critical inputs from two different viewpoints, i.e. input-efficiency and -cost. This is the first study that introduces a total approach for performance assessment and optimisation of electricity transmission companies.

Ali Azadeh; Somayeh Ahmadi Movaghar

2010-01-01T23:59:59.000Z

440

Equi-energy sampler with applications in statistical inference and statistical mechanics  

E-Print Network [OSTI]

We introduce a new sampling algorithm, the equi-energy sampler, for efficient statistical sampling and estimation. Complementary to the widely used temperature-domain methods, the equi-energy sampler, utilizing the temperature--energy duality, targets the energy directly. The focus on the energy function not only facilitates efficient sampling, but also provides a powerful means for statistical estimation, for example, the calculation of the density of states and microcanonical averages in statistical mechanics. The equi-energy sampler is applied to a variety of problems, including exponential regression in statistics, motif sampling in computational biology and protein folding in biophysics.

S. C. Kou; Qing Zhou; Wing Hung Wong

2006-11-08T23:59:59.000Z

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While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

AMGKQ: An Efficient Implementation of Adaptive Multivariate Gauss-Kronrod Quadrature for Simultaneous Integrands in Octave/MATLAB  

E-Print Network [OSTI]

The algorithm AMGKQ for adaptive multivariate Gauss-Kronrod quadrature over hyper-rectangular regions of arbitrary dimensionality is proposed and implemented in Octave/MATLAB. It can approximate numerically any number of integrals over a common domain simultaneously. Improper integrals are addressed through singularity weakening coordinate transformations. Internal singularities are addressed through the use of breakpoints. Its accuracy performance is investigated thoroughly, and its running time is compared to other commonly available routines in two and three dimensions. Its running time can be several orders of magnitude faster than recursively called quadrature routines. Its performance is limited only by the memory structure of its operating environment. Included with the software are numerous examples of its invocation.

Johnson, Robert W

2014-01-01T23:59:59.000Z

442

Use of structure coefficients in published reports of regression analysis  

E-Print Network [OSTI]

When considering the effect of an independent variable in a statistical analysis, one logical set of statistics to consult would be the regression weights. However, if the independent/predictor variables are correlated, the estimates...

Courville, Troy Gerard

1999-01-01T23:59:59.000Z

443

Model based multivariable controller for large scale compression stations. Design and experimental validation on the LHC 18KW cryorefrigerator  

SciTech Connect (OSTI)

In this paper, a multivariable model-based non-linear controller for Warm Compression Stations (WCS) is proposed. The strategy is to replace all the PID loops controlling the WCS with an optimally designed model-based multivariable loop. This new strategy leads to high stability and fast disturbance rejection such as those induced by a turbine or a compressor stop, a key-aspect in the case of large scale cryogenic refrigeration. The proposed control scheme can be used to have precise control of every pressure in normal operation or to stabilize and control the cryoplant under high variation of thermal loads (such as a pulsed heat load expected to take place in future fusion reactors such as those expected in the cryogenic cooling systems of the International Thermonuclear Experimental Reactor ITER or the Japan Torus-60 Super Advanced fusion experiment JT-60SA). The paper details how to set the WCS model up to synthesize the Linear Quadratic Optimal feedback gain and how to use it. After preliminary tuning at CEA-Grenoble on the 400W@1.8K helium test facility, the controller has been implemented on a Schneider PLC and fully tested first on the CERN's real-time simulator. Then, it was experimentally validated on a real CERN cryoplant. The efficiency of the solution is experimentally assessed using a reasonable operating scenario of start and stop of compressors and cryogenic turbines. This work is partially supported through the European Fusion Development Agreement (EFDA) Goal Oriented Training Program, task agreement WP10-GOT-GIRO.

Bonne, François; Bonnay, Patrick [INAC, SBT, UMR-E 9004 CEA/UJF-Grenoble, 17 rue des Martyrs, 38054 Grenoble (France); Alamir, Mazen [Gipsa-Lab, Control Systems Department, CNRS-University of Grenoble, 11, rue des Mathématiques, BP 46, 38402 Saint Martin d'Hères (France); Bradu, Benjamin [CERN, CH-1211 Genève 23 (Switzerland)

2014-01-29T23:59:59.000Z

444

In Search of a Statistically Valid Volatility Risk Factor  

E-Print Network [OSTI]

The cross- section of volatility and expected returns, Theof a Statistically Valid Volatility Risk Factor (revised)of a Statistically Valid Volatility Risk Factor Robert M.

Anderson, Robert M.; Bianchi, Stephen W.; Goldberg, Lisa R.

2013-01-01T23:59:59.000Z

445

RITA-Bureau of Transportation Statistics | Open Energy Information  

Open Energy Info (EERE)

RITA-Bureau of Transportation Statistics Jump to: navigation, search Tool Summary LAUNCH TOOL Name: RITA-Bureau of Transportation Statistics AgencyCompany Organization: United...

446

'I guess' to 'I get': an effective use of smart technology to transform undergraduate statistics education  

Science Journals Connector (OSTI)

With the prominence of mathematics, statistics is playing an increasingly important role in an undergraduate student's academic and professional careers. Numerous studies have found that a large number of students are fearful of taking statistics classes because of the subject's complexity. Several emerging technologies, including the most recent smart mobile technology, were adopted to assist students with learning. In the current study, we propose a pedagogical innovation to the standard format of statistics homework assignments, which are one of the most important components in developing a student's critical thinking abilities. We then offer a corresponding solution of effective use of smart technology to implement the new pedagogy. Analysis of the student feedback provided insights for the future research on how to use smart technology to effectively improve undergraduate statistics education.

Bo Han; Victor R. Prybutok

2012-01-01T23:59:59.000Z

447

C-Mod FY2007 Campaign Statistics  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

07 Campaign Statistics 07 Campaign Statistics presented by R. Granetz Alcator C-Mod quarterly review 20 September 2007 C-Mod FY07 run statistics * Budgeted for 60 research days * We completed 98% of the planned research days of operation at the end of August (~ 59 run days). * ~ 1500 plasma discharges * 52 different miniproposals received run time C-Mod 2007 run utilization (in run days) Topic/Group Run Days Original Allocation Pre-Physics* ----------- ------------ -------------------- ------------- LH 13.41 9 2.06 H-mode Scenarios 6.73 6 0 MHD 2.00 6 0 Divertor/Edge 5.28 6 0 Transport 10.94 10 0

448

Driving factors of non-commercial biomass consumption: a multivariate approach  

Science Journals Connector (OSTI)

The rising global energy requirement, which is driven mainly by population and economic growth, plays a critical role in the world's economic and social development. Different levels and patterns of energy use reflect various developmental stages of countries' economies, including biomass as an important element of the global energy framework. This paper provides an assessment of the relative importance of commercial energy and biomass as elements contributing to overall economic activity. Similarities and differences are identified in the structure of energy use among countries by establishing country groupings using cluster techniques and quantifying the patterns with factor analysis. Multi-dimensional clustering of the countries is presented based on the biomass consumption related parameters such as gross domestic product (GDP) per capita, commercial energy consumption per capita, urbanisation and industrialisation levels. After describing major clusters in 1970 and 1995, the characterisation of clusters identified through the factor analysis is summarised to show the relative importance of various factors within the considered structure. Discussions on the structural changes within the selected period conclude the paper.

Jan Ban; Nadir Guerer

2001-01-01T23:59:59.000Z

449

A. Ford and H. Flynn: Statistical Screening of Models 273 Statistical screening of system dynamics  

E-Print Network [OSTI]

in the information spectrum in Figure 1. Hard sources include physical laws and the results of controlled experimentsA. Ford and H. Flynn: Statistical Screening of Models 273 Statistical screening of system dynamics models Andrew Forda * and Hilary Flynnb Abstract This paper describes a pragmatic method of searching

Ford, Andrew

450

Departments of Computer Science, Mathematics, and Statistics SCIENTIFIC AND STATISTICAL COMPUTING SEMINAR  

E-Print Network [OSTI]

Departments of Computer Science, Mathematics, and Statistics SCIENTIFIC AND STATISTICAL COMPUTING research institution, founded in 2009 by King Abdullah of Saudi Arabia, with research thrusts in energy Hikmah that gave the world some of its modern mathematics, physics, chemistry, and medicine, KAUST has

Stephens, Matthew

451

Astrophysical Thermonuclear Functions for Boltzmann-Gibbs Statistics and Tsallis Statistics  

E-Print Network [OSTI]

We present an analytic proof of the integrals for astrophysical thermonuclear functions which are derived on the basis of Boltzmann-Gibbs statistical mechanics. Among the four different cases of astrophysical thermonuclear functions, those with a depleted high-energy tail and a cut-off at high energies find a natural interpretation in q-statistics.

R. K. Saxena; A. M. Mathai; H. J. Haubold

2004-06-22T23:59:59.000Z

452

Statistical data of the uranium industry  

SciTech Connect (OSTI)

This report is a compendium of information relating to US uranium reserves and potential resources and to exploration, mining, milling, and other activities of the uranium industry through 1982. The statistics are based primarily on data provided voluntarily by the uranium exploration, mining and milling companies. The compendium has been published annually since 1968 and reflects the basic programs of the Grand Junction Area Office of the US Department of Energy. Statistical data obtained from surveys conducted by the Energy Information Administration are included in Section IX. The production, reserves, and drilling data are reported in a manner which avoids disclosure of proprietary information.

none,

1983-01-01T23:59:59.000Z

453

Statistics of Single-Molecule Detection  

Science Journals Connector (OSTI)

Statistics of Single-Molecule Detection ... K(ti+1,ti,r?i+1,r?i) is the probability that no photon is detected and no photobleaching happens between ti and ti+1, if the molecule was at position r?i at time ti and at position r?i+1 at time ti+1 and ?tVf(r?) and ?tVbl(r?) are the probabilities to detect a photon and to photobleach the molecule within time ?t, respectively, if the molecule is at position r?. ... fluorescence without statistical anal. ...

Jörg Enderlein; David L. Robbins; W. Patrick Ambrose; Peter M. Goodwin; Richard A. Keller

1997-05-01T23:59:59.000Z

454

Statistical data of the uranium industry  

SciTech Connect (OSTI)

Statistical Data of the Uranium Industry is a compendium of information relating to US uranium reserves and potential resources and to exploration, mining, milling, and other activities of the uranium industry through 1981. The statistics are based primarily on data provided voluntarily by the uranium exploration, mining, and milling companies. The compendium has been published annually since 1968 and reflects the basic programs of the Grand Junction Area Office (GJAO) of the US Department of Energy. The production, reserves, and drilling information is reported in a manner which avoids disclosure of proprietary information.

none,

1982-01-01T23:59:59.000Z

455

Lightweight and Statistical Techniques for Petascale PetaScale Debugging  

SciTech Connect (OSTI)

This project investigated novel techniques for debugging scientific applications on petascale architectures. In particular, we developed lightweight tools that narrow the problem space when bugs are encountered. We also developed techniques that either limit the number of tasks and the code regions to which a developer must apply a traditional debugger or that apply statistical techniques to provide direct suggestions of the location and type of error. We extend previous work on the Stack Trace Analysis Tool (STAT), that has already demonstrated scalability to over one hundred thousand MPI tasks. We also extended statistical techniques developed to isolate programming errors in widely used sequential or threaded applications in the Cooperative Bug Isolation (CBI) project to large scale parallel applications. Overall, our research substantially improved productivity on petascale platforms through a tool set for debugging that complements existing commercial tools. Previously, Office Of Science application developers relied either on primitive manual debugging techniques based on printf or they use tools, such as TotalView, that do not scale beyond a few thousand processors. However, bugs often arise at scale and substantial effort and computation cycles are wasted in either reproducing the problem in a smaller run that can be analyzed with the traditional tools or in repeated runs at scale that use the primitive techniques. New techniques that work at scale and automate the process of identifying the root cause of errors were needed. These techniques significantly reduced the time spent debugging petascale applications, thus leading to a greater overall amount of time for application scientists to pursue the scientific objectives for which the systems are purchased. We developed a new paradigm for debugging at scale: techniques that reduced the debugging scenario to a scale suitable for traditional debuggers, e.g., by narrowing the search for the root-cause analysis to a small set of nodes or by identifying equivalence classes of nodes and sampling our debug targets from them. We implemented these techniques as lightweight tools that efficiently work on the full scale of the target machine. We explored four lightweight debugging refinements: generic classification parameters, such as stack traces, application-specific classification parameters, such as global variables, statistical data acquisition techniques and machine learning based approaches to perform root cause analysis. Work done under this project can be divided into two categories, new algorithms and techniques for scalable debugging, and foundation infrastructure work on our MRNet multicast-reduction framework for scalability, and Dyninst binary analysis and instrumentation toolkits.

Miller, Barton

2014-06-30T23:59:59.000Z

456

Multivariate synthetic streamflow generation using a hybrid model based on artificial neural networks Hydrology and Earth System Sciences, 6(4), 641654 (2002) EGS  

E-Print Network [OSTI]

streamflow generation using a hybrid model based on artificial neural networks J.C. Ochoa-Rivera, R. GarcíaMultivariate synthetic streamflow generation using a hybrid model based on artificial neural neural network. The structure of the model results from two components, the neural network (NN

Paris-Sud XI, Université de

457

Statistical Issues in Translational Cancer Research  

Science Journals Connector (OSTI)

...Storm Peterson, and others. The fundamental idea behind the concept of personalized...979-85. 8 Crowley J, Ankerst DP. Handbook of statistics in clinical oncology...Friedman LM, Furberg CD, Demets DL. Fundamentals of clinical trials. 3rd ed. New York...

Stephen L. George

2008-10-01T23:59:59.000Z

458

Saving languages with statistics and web crawlers  

E-Print Network [OSTI]

Saving languages with statistics and web crawlers BarCamp St. Louis November 8-9, 2009 Kevin script is forgotten, or never properly learned (tone marks in Kinyarwanda, Lingala) #12;Web crawling to the rescue I have a web crawler at SLU targetting texts in endangered languages; 431 at present See http

Scannell, Kevin Patrick

459

Fractional Quantum Hall Effect and Nonabelian Statistics  

Science Journals Connector (OSTI)

......Articles Fractional Quantum Hall Effect and Nonabelian Statistics N...rc=1/8-1/8=0; this effect would be due to the Pfaffian...Sloan Foundation Fellow- ship and by NSF PYI DMR-9157484...ed.), The Quantum Hall Effect, 2nd edition (Springer, New......

N. Read; G. Moore

1992-01-01T23:59:59.000Z

460

Heat pump market and statistics report 2013  

E-Print Network [OSTI]

#12;Heat pump market and statistics report 2013 Thomas Nowak Secretary General European Heat Pump Summit 15.10./16.10.2013 | Nuremberg #12;European Heat Pump Association (EHPA) · 107 members from 22 countries (status 08/2013) ­ Heat pump manufacturers ­ Component manufacturers ­ National associations

Oak Ridge National Laboratory

Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Linearity -statistics 1.1B training  

E-Print Network [OSTI]

Linearity - statistics IPAT 1.1B training 300M training D0 resolution is evaluated using 100k single muon events (same events in all 3 plots). Red is the default 11L FTK bank trained using 300M muons on narrow beam of muons (central eta, fixed phi, high fixed pT). Using two types of training: default FTK

462

DEPARTMENT OF STATISTICS University of Wisconsin  

E-Print Network [OSTI]

University of Wisconsin, Madison Grace Wahba1 Department of Statistics, Department of Computer Sciences in part by NIH Grant EY09946, NSF Grant DMS-0604572, NSF Grant DMS-0906818 and ONR Grant N0014-09-1-0655. 2 Supported in part by NIH Grant EY06594, and by the Research to Prevent Blindness Senior Scientific

Liblit, Ben

463

What is Bayesian statistics? Sean R. Eddy  

E-Print Network [OSTI]

What is Bayesian statistics? Sean R. Eddy Howard Hughes Medical Institute & Department of Genetics and Bayesian probability theory. The table game. Alice and Bob are playing a game in which the first one to six and Bob except who won each point. Clearly, the probability that Alice wins a point is the fraction

Eddy, Sean

464

Macdonald, J. Ross SOME STATISTICAL ASPECTS OF  

E-Print Network [OSTI]

Macdonald, J. Ross 1962 Physica 28 485-492 SOME STATISTICAL ASPECTS OF RELAXATION TIME DISTRIBUTIONS *) by J. ROSS MACDONALD Texas Instruments Incorporated, Dallas, Texas, U.S.A. Synopsis, meeting of the American Physical Society, November 25, 1961, [Macdonald, J. R., Bull. Am. Phys. Sot. Ser

Macdonald, James Ross

465

Statistical Decision Theory: Concepts, Methods and Applications  

E-Print Network [OSTI]

Statistical Decision Theory: Concepts, Methods and Applications (Special topics in Probabilistic Mazumder 950116380 #12;Part I: Decision Theory ­ Concepts and Methods 1 Part I: DECISION THEORY - Concepts and Methods Decision theory as the name would imply is concerned with the process of making decisions

Rosenthal, Jeffrey S.

466

Comparative Statistical Techniques in Maintenance Management  

Science Journals Connector (OSTI)

......times written as tt general, due to possible failure ties...Both can be expressed by the general formula for linear rank statistics...intensively used passenger diesel-electric locomotives. The type I overhaul consists of the engine's removal from the traction......

G. A. BOHORIS; D. M. WALLEY

1991-01-01T23:59:59.000Z

467

Full Counting Statistics of Stationary Particle Beams  

E-Print Network [OSTI]

We present a general scheme for treating particle beams as many particle systems. This includes the full counting statistics and the requirements of Bose/Fermi symmetry. In the stationary limit, i.e., for longer and longer beams, the total particle number diverges, and a description in Fock space is no longer possible. We therefore extend the formalism to include stationary beams. These beams exhibit a well-defined "local" counting statistics, by which we mean the full counting statistics of all clicks falling into any given finite interval. We treat in detail a model of a source, creating particles in a fixed state, which then evolve under the free time evolution, and we determine the resulting stationary beam in the far field. In comparison to the one-particle picture we obtain a correction due to Bose/Fermi statistics, which depends on the emission rate. We also consider plane waves as stationary many particle states, and determine the distribution of intervals between successive clicks in such a beam.

J. Kiukas; A. Ruschhaupt; R. F. Werner

2011-03-07T23:59:59.000Z

468

Remarks on statistical errors in equivalent widths  

E-Print Network [OSTI]

Equivalent width measurements for rapid line variability in atomic spectral lines are degraded by increasing error bars with shorter exposure times. We derive an expression for the error of the line equivalent width $\\sigma(W_\\lambda)$ with respect to pure photon noise statistics and provide a correction value for previous calculations.

Klaus Vollmann; Thomas Eversberg

2006-07-03T23:59:59.000Z

469

TRADEOFFS AND LIMITATIONS IN STATISTICALLY BASED IMAGE  

E-Print Network [OSTI]

Tomography (Compton SPECT) system is derived, and reconstructed images from both simulated and measured data of the projection data using vector quantizers. Asymptotic expressions for the loss in the KullbackTRADEOFFS AND LIMITATIONS IN STATISTICALLY BASED IMAGE RECONSTRUCTION PROBLEMS by Thomas J. Kragh

Hero, Alfred O.

470

A Statistical Framework for Spatial Comparative Genomics  

E-Print Network [OSTI]

A Statistical Framework for Spatial Comparative Genomics Rose Hoberman May 2007 CMU-CS-07, or the U.S. Government. #12;Keywords: spatial comparative genomics, comparative genomics, gene clusters, max-gap clusters, gene teams, whole genome duplication, paralogons, synteny, ortholog detection #12

471

Statistical Emulator Construction for Nonlinear Smart Systems  

E-Print Network [OSTI]

efficient surrogates for nonlinear smart material models. We will primarily focus on emulators ferroelectric materials ideal components of a number of smart systems [3]. For example, polyvinylidene fluorideStatistical Emulator Construction for Nonlinear Smart Systems Francesca D. Reale1 and Ralph C

472

The Annals of Statistics 2012, Vol. 40, No. 6, 28502876  

E-Print Network [OSTI]

of the extremum of a univariate or multivariate regression function. For instance, an oil company may be interested in determining the best location for drilling a well in a confined region. Based on information obtained from drilling at a few preliminary locations in the region, the goal is to obtain an estimate

Ghoshal, Subhashis

473

1 888 939 3333 | cancer.ca Cancer Statistics  

E-Print Network [OSTI]

1 888 939 3333 | cancer.ca Canadian Cancer Statistics 2013 Special topic: Liver cancer Produced by Canadian Cancer Society, Statistics Canada, Public Health Agency of Canada, Provincial/Territorial Cancer Registries cancer.ca/statistics #12;2Canadian Cancer Society n Canadian Cancer Statistics 2013 Citation

Habib, Ayman

474

Statistics and Unsupervised Learning December 17th 2010  

E-Print Network [OSTI]

for the quantification of uncertainty Statistics qualification very employable One of the few areas showing an increase in employment over the last 5 years Statistics is `sexy' (Hal Varian, chief economist at Google) "[StatisticiansStatistics and Unsupervised Learning Nema Dean December 17th 2010 #12;Why study Statistics

Tanner, Jared

475

Experiences with a Course on \\Web{Based Statistics"  

E-Print Network [OSTI]

Experiences with a Course on \\Web{Based Statistics" Jurgen Symanzik Natascha Vukasinovic Utah State@sunfs.math.usu.edu Abstract Many Statistics courses have been taught that make use of Web{based statistical tools such as teachware tools, electronic textbooks, and statistical software on the Web. However, to our best knowledge

Symanzik, Jürgen

476

Teaching Experiences with a Course on ``Web--Based Statistics''  

E-Print Network [OSTI]

Teaching Experiences with a Course on ``Web--Based Statistics'' J¨urgen Symanzik Natascha@sunfs.math.usu.edu Abstract Many Statistics courses have been taught that make use of Web--based statistical tools such as teachware tools, electronic textbooks, and statistical software on the Web. However, to our best knowledge

Symanzik, Jürgen

477

Teaching Experiences with a Course on \\Web{Based Statistics"  

E-Print Network [OSTI]

Teaching Experiences with a Course on \\Web{Based Statistics" Jurgen Symanzik Natascha Vukasinovic@sunfs.math.usu.edu Abstract Many Statistics courses have been taught that make use of Web{based statistical tools such as teachware tools, electronic textbooks, and statistical software on the Web. However, to our best knowledge

Symanzik, Jürgen

478

Computer Models in Astronomy and Statistics Stellar Evolution  

E-Print Network [OSTI]

Computer Models in Astronomy and Statistics Stellar Evolution Calibration of X-ray Detectors Embedding Astronomical Computer Models into Complex Statistical Models David A. van Dyk Statistics Section Dyk Complex Analyses with Computer Models in Astronomy #12;Computer Models in Astronomy and Statistics

van Dyk, David

479

CORNELL UNIVERSITY Department of Biological Statistics and Computational Biology  

E-Print Network [OSTI]

or BTRY 6020: Statistical Methods II BTRY 3080: Probability Models and Inference MATH 1110, Calculus ICORNELL UNIVERSITY Department of Biological Statistics and Computational Biology Requirements for a Minor in Biometry and Statistics 7/23/14 DESCRIPTION OF THE MINOR The Minor in Biometry and Statistics

Keinan, Alon

480

Some thoughts on Le Cam's statistical decision theory David Pollard  

E-Print Network [OSTI]

Some thoughts on Le Cam's statistical decision theory by David Pollard Statistics Department Yale theory of statistical inference and decision theory. A short, self- contained proof of a key result developed a general theory for handling asymptotic problems in statistical decision theory. At the core

Pollard, David

Note: This page contains sample records for the topic "multivariate statistical analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Image-based modeling of human gaits with higher-order statistics Payam Saisan  

E-Print Network [OSTI]

, dynamic independent component analysis, human motion modeling, visual recognition, animation Abstract We in human motion can play a crucial role in a number of applications ranging from security (recognizing models for accuracy and predictive power. In particular, we exploit the higher- order statistical

Soatto, Stefano

482

Statistics of Storm Updraft Velocities from TWP-ICE Including Verification with Profiling Measurements  

E-Print Network [OSTI]

. The vertical component of storm dynamics has a large impact on the life cycle of convective systems. While use, in which measurements from a dual-frequency radar profiler system and volumetric radar-based wind the profiling system. This prompted a statistical analysis of an extended period of an active monsoon period

Protat, Alain

483

Submitted to the Annals of Applied Statistics INTEGRATIVE MODEL-BASED CLUSTERING OF MICROARRAY  

E-Print Network [OSTI]

, Expression, AML. 1 #12;2 KORMAKSSON ET AL. can guide the design of more specifically targeted therapies. DueSubmitted to the Annals of Applied Statistics INTEGRATIVE MODEL-BASED CLUSTERING OF MICROARRAY to multiple data types of a similar nature, which leads to an integrated analysis over multiple data platforms

Booth, James

484

1. Department, Course Number, Title ORE 608, Probability and Statistics for Ocean Engineers  

E-Print Network [OSTI]

and ocean engineering. 7. Topics Covered Random Variables Monte Carlo Methods Probability Density Functions and statistics Water wave mechanics 5. Textbooks and/or Other Reading Material Textbooks: None Reference books: 1. Data Analysis Methods in Physical Oceanography - Emery and Thomson 2. Extreme Value Theory

Frandsen, Jannette B.

485

A Unifying Field in Logics: Neutrosophic Logic, Neutrosophic Set, Neutrosophic Probability and Statistics (fourth edition)  

E-Print Network [OSTI]

In this book one makes an introduction to non-standard analysis in the first part, needed to the next four chapters in order to study the neutrosophics: 1. Neutrosophy - a new branch of philosophy. 2. Neutrosophic Logic - a unifying field in logics. 3. Neutrosophic Set - a unifying field in sets. 4. Neutrosophic Probability - a generalization of classical and imprecise probabilities - and Neutrosophic Statistics.

Florentin Smarandache

2001-01-28T23:59:59.000Z

486

Statistical Methods for Automatic Crack Detection Based on Vibrothermography Sequence-of-Images Data  

E-Print Network [OSTI]

of detection, Signal-to-noise ratio. #12;1 INTRODUCTION 1.1 Background Nondestructive evaluation (NDE) methods in structures by non-intrusive physical measurements. There exists random measurement noise for most NDE applications and statistical methods are needed for NDE data analysis. MIL-HDBK-1823A [1] describes

487

Statistical separation strategy to analyze velocity structure obtained by seismic tomography  

Science Journals Connector (OSTI)

...statistics ( x-nodes) (James and Roos, 1975; Brun and Rademakers, 1997), we were able to use the fitting parameters, mean...Research (Solid Earth) , 108 , 2358-2372.. Brun, R. , and Rademakers, F., 1997, ROOT-An object oriented data analysis framework...

Wolfgang Weinzierl; Heidrun Kopp

488

APPLIED FISHERIES STATISTICS Fall 2012, FAS 5335C (section 008F)  

E-Print Network [OSTI]

-recapture and depletion methods of estimating abundance, length- frequency analysis, length-weight relationships (K, Wr, nonparametric statistics, repeated-measures ANOVA, multiple comparison testing, and variable selection to NW 39th Ave. (2.5 mi.). Turn left (west) and go to NW 43rd St. (1 mi.). Turn right. Drive north on NW

Watson, Craig A.

489

E-Print Network 3.0 - analysis tool incorporating Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

and visualization tools into a single framework suitable for decision making... Analysis Data, Statistical Analysis Geo-Spatial Information Tools Defense Transportation Energy...

490

Building a Statistical Model toBuilding a Statistical Model to Predict Reactor TemperaturesPredict Reactor Temperatures  

E-Print Network [OSTI]

Building a Statistical Model toBuilding a Statistical Model to Predict Reactor Temperatures.scarrott@lancaster.ac.uk g.tunnicliffe-wilson@lancaster.ac.uk #12;OutlineOutline l Objectives l Data l Statistical Model l temperatures ­ Physical model ­ Statistical model l How to identify and model physical effects? l How to model

Scarrott, Carl

491

FY 2011 Statistical Table by Appropriation  

Broader source: Energy.gov (indexed) [DOE]

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2009 FY 2009 FY 2010 FY 2011 Current Current Current Congressional Approp. Recovery Approp. Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy........................................... 2,156,865 16,771,907 2,242,500 2,355,473 +112,973 +5.0% Electricity delivery and energy reliability............................................. 134,629 4,495,712 171,982 185,930 +13,948 +8.1% Nuclear energy................................................................................... 791,444 0 786,637 824,052 +37,415 +4.8% Fossil energy programs Clean coal technology..................................................................... 0 0 0 0

492

Statistical Methods for Environmental Pollution Monitoring  

Office of Scientific and Technical Information (OSTI)

f!\Jl~~ If & &0 f!\Jl~~ If & &0 :3 Statistical Methods for Environmental Pollution Monitoring 3 3679 00058 9400 Statistical Methods for Environmental Pollution Monitoring Richard O. Gilbert Pacific Northwest Laboratory Imi5l VAN NOSTRAND REINHOLD COMPANY ~ - - - - - - - New York Dedicated to my parents, Mary Margaret and Donald I. Gilbert Copyright © 1987 by Van Nostrand Reinhold Company Inc. Library of Congress Catalog Card Number: 86-26758 ISBN 0-442-23050-8 Work supported by the U.S. Department of Energy under Contract No. DE-AC06-76RLOI830. All rights reserved. No part of this work covered by the copyright hereon may be reproduced or used in any form or by any means-graphic, electronic, or mechanical, including photocopying, recording, taping, or

493

Statistical data of the uranium industry  

SciTech Connect (OSTI)

This document is a compilation of historical facts and figures through 1979. These statistics are based primarily on information provided voluntarily by the uranium exploration, mining, and milling companies. The production, reserves, drilling, and production capability information has been reported in a manner which avoids disclosure of proprietary information. Only the totals for the $1.5 reserves are reported. Because of increased interest in higher cost resources for long range planning purposes, a section covering the distribution of $100 per pound reserves statistics has been newly included. A table of mill recovery ranges for the January 1, 1980 reserves has also been added to this year's edition. The section on domestic uranium production capability has been deleted this year but will be included next year. The January 1, 1980 potential resource estimates are unchanged from the January 1, 1979 estimates.

none,

1980-01-01T23:59:59.000Z

494

Nonextensive statistical dynamics applied to wall turbulence  

E-Print Network [OSTI]

We apply a formalism of nonextensive statistical mechanics to experimental wall turbulence data, for the first time to our knowledge. Wind tunnel data for velocity differences a streamwise distance $r$ apart are compared to the prediction from theory as developed by Beck. The simplest theory, in which all free parameters are removed, is found to reproduce statistics for the wall-normal velocity component remarkably well, even for $r$ well beyond the corresponding integral scale, while the corresponding description of the streamwise velocity fluctuations is reasonable at separations below the integral scale. A least-squares 2-parameter fit is performed, and the dependence of the optimum parameter values on wall separation and $r$ is analysed. Both parameters are found to be approximately independent of wall-separation in the logarithmic sub-layer.

Simen Å Ellingsen; Per-Åge Krogstad

2014-02-10T23:59:59.000Z

495

Introductory statistical mechanics for electron storage rings  

SciTech Connect (OSTI)

These lectures introduce the beam dynamics of electron-positron storage rings with particular emphasis on the effects due to synchrotron radiation. They differ from most other introductions in their systematic use of the physical principles and mathematical techniques of the non-equilibrium statistical mechanics of fluctuating dynamical systems. A self-contained exposition of the necessary topics from this field is included. Throughout the development, a Hamiltonian description of the effects of the externally applied fields is maintained in order to preserve the links with other lectures on beam dynamics and to show clearly the extent to which electron dynamics in non-Hamiltonian. The statistical mechanical framework is extended to a discussion of the conceptual foundations of the treatment of collective effects through the Vlasov equation.

Jowett, J.M.

1986-07-01T23:59:59.000Z

496

Robust statistical reconstruction for charged particle tomography  

DOE Patents [OSTI]

Systems and methods for charged particle detection including statistical reconstruction of object volume scattering density profiles from charged particle tomographic data to determine the probability distribution of charged particle scattering using a statistical multiple scattering model and determine a substantially maximum likelihood estimate of object volume scattering density using expectation maximization (ML/EM) algorithm to reconstruct the object volume scattering density. The presence of and/or type of object occupying the volume of interest can be identified from the reconstructed volume scattering density profile. The charged particle tomographic data can be cosmic ray muon tomographic data from a muon tracker for scanning packages, containers, vehicles or cargo. The method can be implemented using a computer program which is executable on a computer.

2013-10-08T23:59:59.000Z

497

Statistical data of the uranium industry  

SciTech Connect (OSTI)

Data are presented on US uranium reserves, potential resources, exploration, mining, drilling, milling, and other activities of the uranium industry through 1980. The compendium reflects the basic programs of the Grand Junction Office. Statistics are based primarily on information provided by the uranium exploration, mining, and milling companies. Data on commercial U/sub 3/O/sub 8/ sales and purchases are included. Data on non-US uranium production and resources are presented in the appendix. (DMC)

none,

1981-01-01T23:59:59.000Z

498

Escape time statistics for mushroom billiards  

E-Print Network [OSTI]

Chaotic orbits of mushroom billiards display intermittent behaviors. We investigate statistical properties of this system by constructing an infinite partition on the chaotic part of a Poincar\\'e surface which illustrates details of chaotic dynamics. Each piece of the infinite partition has an unique escape time from the half disk region, and from this result it is shown that, for fixed values of the system parameters, the escape time distribution obeys power law $1/t_{\\rm esc}^3$.

T. Miyaguchi

2006-12-27T23:59:59.000Z

499

Hidden Variables and Quantum Statistics Nature  

E-Print Network [OSTI]

It is shown that the nature of quantum statistics can be clarified by assuming the existence of a background of random gravitational fields and waves, distributed isotropically in the space. This background is responsible for correlating phases of oscillations of identical microobjects. If such a background of random gravitational fields and waves is considered as hidden variables then taking it into account leads to the Bell-type inequalities that are fairly consistent with the experimental data.

T. F. Kamalov

2007-03-14T23:59:59.000Z

500

The Second Law and Statistical Mechanics  

Science Journals Connector (OSTI)

The beginning of thermodynamics was around 1850 when both the first and the second law were formulated. The first law is often formulated as: the energy of the world is conserved and the second law as: the entropy of the world increases. These formulations caught general attention. A lot of what happened until 1912 in understanding these two laws is described in a little book by Paul and Tatania Ehrenfest on “The conceptual foundation of the statistical approach in mechanics” [1].

Dick Bedeaux

2008-01-01T23:59:59.000Z