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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.


1

Multivariate Statistical Analysis of Water Chemistry in Evaluating the  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

Multivariate Statistical Analysis of a Sea Surface Temperature Anomaly Experiment with the GISS General Circulation Model I  

Science Conference Proceedings (OSTI)

The multivariate statistical analysis of sensitivity experiments with atmospheric GCMs is difficult because the sample size is always much smaller than the dimensionality of the GCM fields. Thus, Hasselmann has suggested using a hypothesis ...

Gerhard Hannoschöck; Claude Frabkignoul

1985-07-01T23:59:59.000Z

3

Multivariate statistical analysis of the influence of global threats on the security of countries of the world  

Science Conference Proceedings (OSTI)

Methods of multivariate statistical analysis are applied to the investigation of the influence of global threats on the security of countries and regions of the world. The use of the principal component analysis method made it possible to reveal three ... Keywords: Minkowsky norm, cluster analysis, correlation analysis, global threat, principal component analysis., stable development

T. N. Pomerantseva; A. A. Boldak

2010-03-01T23:59:59.000Z

4

A multivariate statistical analysis of the developing human brain in preterm infants  

Science Conference Proceedings (OSTI)

Preterm delivery accounts for 5% of all deliveries and its consequences contribute to significant individual, medical, and social problems. The neuroanatomical substrates of these disorders are not known, but are essential for understanding mechanisms ... Keywords: Brain images, Multivariate statistics, Preterm infants, Small sample size

C. E. Thomaz; J. P. Boardman; S. Counsell; D. L. G. Hill; J. V. Hajnal; A. D. Edwards; M. A. Rutherford; D. F. Gillies; D. Rueckert

2007-06-01T23:59:59.000Z

5

An Application of Multivariate Statistical Analysis for Query-Driven Visualization  

Science Conference Proceedings (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

6

Multivariate Recurrence Analysis  

Science Conference Proceedings (OSTI)

Recurrence analysis was introduced to infer the degree of separation between a “control” and an “anomaly” ensemble of, say, seasonal means simulated in general circulation model (GCM) experiments. The concept of recurrence analysis is described ...

Francis W. Zwiers; Hans von Storch

1989-12-01T23:59:59.000Z

7

Multivariate statistical evaluation of equilibrium methane adsorption isotherms of coal  

SciTech Connect

The adsorption of methane by coals varies over a broad range of values and appears to depend on a complex function related to coal rank. In order to evaluate these variations in methane adsorption 100 coal samples were analyzed. The paper presents some preliminary results of this study based on multivariate statistical evaluation of equilibrium methane adsorption isotherm data, coal petrology, and vitrinite reflectance.

Schwarzer, R.S.; Bayliss, G.S.

1982-01-01T23:59:59.000Z

8

Multivariate statistical analyses of groundwater surrounding Forty mile wash  

SciTech Connect

Groundwater chemistry data from 211 sampling locations in the vicinity of Yucca Mountain, Nevada are analyzed using multivariate statistical methods in order to better understand groundwater chemical evolution, ascertain potential flow paths and determine hydrochemical facies. Correspondence analysis of the major ion chemistry is used to define relationships between and among major ions and sampling locations. A k-means cluster analysis is used to determine hydrochemical facies based on correspondence analysis dimensions. The derived dimensions and hydrochemical facies are presented as bi-plots and overlaid on a digital elevation model of the region giving a visual picture of potential interactions and flow paths. A distinct signature of the groundwater chemistry along the extended flow path of Fortymile Wash can be observed along with some potential interaction at possible fault lines near Highway I-95. The signature from Fortymile Wash is believed to represent the relict of water that infiltrated during past pluvial periods when the amount of runoff in the wash was significantly larger than during the current drier period. This hypothesis appears to be supported by hydrogen-2 and oxygen-18 data which indicate that younger groundwater is found in the upper part of the wash near Yucca Mountain and older groundwater is found in the lower region of the wash near Amargosa River. The range of the hydrogen-2 data corresponds to precipitation in a period of relatively cold climate and has a similar spatial signature to the oxygen-18 data. If the hypothesis that current groundwater chemistry primarily reflects past focused infiltration of surface runoff rather than regional groundwater migration is correct, then saturated zone transport from Yucca Mountain may be much slower than is currently anticipated. (authors)

Woocay, A.; Walton, J.C. [El Paso Univ. of Texas, Environmental Science and Engineering, TX (United States)

2007-07-01T23:59:59.000Z

9

Hybrid least squares multivariate spectral analysis methods  

SciTech Connect

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

10

Meeting Student Needs for Multivariate Data Analysis: A Case Study in Teaching a Multivariate Data Analysis Course with No Pre-requisites  

E-Print Network (OSTI)

Modern students encounter big, messy data sets long before setting foot in our classrooms. Many of our students need to develop skills in exploratory data analysis and multivariate analysis techniques for their jobs after college, but these topics are not covered in introductory statistics courses. This case study describes my experience in designing and teaching a course on multivariate data analysis with no pre-requisites, using real data, active learning, and other activities to help students tackle the material.

Wagaman, Amy S

2013-01-01T23:59:59.000Z

11

Multivariate Statistical Analysis Kani Chen (Instructor)  

E-Print Network (OSTI)

)/a). Then, F-1 X (FY (s)) = (s - b)/a and, as a result, F-1 X (t) = (1/a)(F-1 Y (t) - b). =: DIY. 3

Chen, Kani

12

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

13

Gravitational-Wave Detection using Multivariate Analysis  

E-Print Network (OSTI)

Searches for gravitational-wave bursts (transient signals, typically of unknown waveform) require identification of weak signals in background detector noise. The sensitivity of such searches is often critically limited by non-Gaussian noise fluctuations which are difficult to distinguish from real signals, posing a key problem for transient gravitational-wave astronomy. Current noise rejection tests are based on the analysis of a relatively small number of measured properties of the candidate signal, typically correlations between detectors. Multivariate analysis (MVA) techniques probe the full space of measured properties of events in an attempt to maximise the power to accurately classify events as signal or background. This is done by taking samples of known background events and (simulated) signal events to train the MVA classifier, which can then be applied to classify events of unknown type. We apply the boosted decision tree (BDT) MVA technique to the problem of detecting gravitational-wave bursts associated with gamma-ray bursts. We find that BDTs are able to increase the sensitive distance reach of the search by as much as 50%, corresponding to a factor of ~3 increase in sensitive volume. This improvement is robust against trigger sky position, large sky localisation error, poor data quality, and the simulated signal waveforms that are used. Critically, we find that the BDT analysis is able to detect signals that have different morphologies to those used in the classifier training and that this improvement extends to false alarm probabilities beyond the 3{\\sigma} significance level. These findings indicate that MVA techniques may be used for the robust detection of gravitational-wave bursts with a priori unknown waveform.

Thomas S. Adams; Duncan Meacher; James Clark; Patrick J. Sutton; Gareth Jones; Ariana Minot

2013-05-24T23:59:59.000Z

14

An Investigation of the Sources of Summertime Haze in the Blue Ridge Mountains Using Multivariate Statistical Methods  

Science Conference Proceedings (OSTI)

Multivariate statistical analyses are employed to identify the source areas of the fine particulates and sulfate, which are the primary components of summer haze in the Blue Ridge Mountains of Virginia. These analyses include principal component ...

George T. Wolff; Mark L. Morrissey; Nelson A. Kelly

1984-09-01T23:59:59.000Z

15

Experiments with a Three-Dimensional Statistical Objective Analysis Scheme Using FGGE Data  

Science Conference Proceedings (OSTI)

A three-dimensional (3D), multivariate, statistical objective analysis scheme (referred to as optimum interpolation or OI) has been developed for use in numerical weather prediction studies with the FGGE data. Some novel aspects of the present ...

Wayman E. Baker; Stephen C. Bloom; John S. Woollen; Mark S. Nestler; Eugenia Brin; Thomas W. Schlatter; Grant W. Branstator

1987-01-01T23:59:59.000Z

16

SQLSAM: SQL for statistical analysis and modeling  

Science Conference Proceedings (OSTI)

Statistical modeling and analysis is extensively used in businesses for various purposes including graphic visualization of data, measurement of central tendencies and other statistics, and inferences on populations based on samples. Data is the fundamental ... Keywords: SQL, SQLSAM, business, business data processing, business decision making, continuous probability distributions, data visualisation, decision support systems, discrete probability distributions, graphic visualization, inferences, inferential statistics, organization databases, probability, query languages, regression analysis, standard database language, statistical analysis, statistical databases, statistical modeling, statistics

J. Choobineh; A. Kini

1995-01-01T23:59:59.000Z

17

On the Completeness of Multi-Variate Optimum Interpolation for Large-Scale Meteorological Analysis  

Science Conference Proceedings (OSTI)

The Baer-Tribbia nonlinear modal initialization method implies that large-scale meteorological analyses should focus on analysis of slow mode fields. An idealized multi-variate optimum interpolation analysis is shown to produce grid point results ...

Norman A. Phillips

1982-10-01T23:59:59.000Z

18

Hierarchical probabilistic regionalization of volcanism for Sengan region in Japan using multivariate statistical techniques and geostatistical interpolation techniques.  

DOE Green Energy (OSTI)

Sandia National Laboratories, under contract to Nuclear Waste Management Organization of Japan (NUMO), is performing research on regional classification of given sites in Japan with respect to potential volcanic disruption using multivariate statistics and geo-statistical interpolation techniques. This report provides results obtained for hierarchical probabilistic regionalization of volcanism for the Sengan region in Japan by applying multivariate statistical techniques and geostatistical interpolation techniques on the geologic data provided by NUMO. A workshop report produced in September 2003 by Sandia National Laboratories (Arnold et al., 2003) on volcanism lists a set of most important geologic variables as well as some secondary information related to volcanism. Geologic data extracted for the Sengan region in Japan from the data provided by NUMO revealed that data are not available at the same locations for all the important geologic variables. In other words, the geologic variable vectors were found to be incomplete spatially. However, it is necessary to have complete geologic variable vectors to perform multivariate statistical analyses. As a first step towards constructing complete geologic variable vectors, the Universal Transverse Mercator (UTM) zone 54 projected coordinate system and a 1 km square regular grid system were selected. The data available for each geologic variable on a geographic coordinate system were transferred to the aforementioned grid system. Also the recorded data on volcanic activity for Sengan region were produced on the same grid system. Each geologic variable map was compared with the recorded volcanic activity map to determine the geologic variables that are most important for volcanism. In the regionalized classification procedure, this step is known as the variable selection step. The following variables were determined as most important for volcanism: geothermal gradient, groundwater temperature, heat discharge, groundwater pH value, presence of volcanic rocks and presence of hydrothermal alteration. Data available for each of these important geologic variables were used to perform directional variogram modeling and kriging to estimate values for each variable at 23949 centers of the chosen 1 km cell grid system that represents the Sengan region. These values formed complete geologic variable vectors at each of the 23,949 one km cell centers.

Park, Jinyong (University of Arizona, Tucson, AZ); Balasingham, P. (University of Arizona, Tucson, AZ); McKenna, Sean Andrew; Kulatilake, Pinnaduwa H. S. W. (University of Arizona, Tucson, AZ)

2004-09-01T23:59:59.000Z

19

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

20

Statistical Timing Analysis using Levelized Covariance Propagation  

Science Conference Proceedings (OSTI)

Variability in process parameters is making accurate timing analysis of nano-scale integrated circuits an extremely challenging task. In this paper, we propose a new algorithm for statistical timing analysis using Levelized Covariance Propagation (LCP). ...

Kunhyuk Kang; Bipul C. Paul; Kaushik Roy

2005-03-01T23:59:59.000Z

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.


21

Collecting operational event data for statistical analysis  

SciTech Connect

This report gives guidance for collecting operational data to be used for statistical analysis, especially analysis of event counts. It discusses how to define the purpose of the study, the unit (system, component, etc.) to be studied, events to be counted, and demand or exposure time. Examples are given of classification systems for events in the data sources. A checklist summarizes the essential steps in data collection for statistical analysis.

Atwood, C.L.

1994-09-01T23:59:59.000Z

22

A heuristic algorithm for pattern identification in large multivariate analysis of geophysical data sets  

Science Conference Proceedings (OSTI)

This paper aims to present a heuristic algorithm with factor analysis and a local search optimization system for pattern identification problems as applied to large and multivariate aero-geophysical data. The algorithm was developed in MATLAB code using ... Keywords: Aero-geophysical data, Factor analysis, Local search system, MATLAB program, Patterns identification

João Eduardo da Silva Pereira; Adelir José Strieder; Janete Pereira Amador; José Luiz Silvério da Silva; Leônidas Luiz Volcato Descovi Filho

2010-01-01T23:59:59.000Z

23

Statistical global metabolic control analysis  

Science Conference Proceedings (OSTI)

This work introduces the concept of global sensitivity based on simultaneous variation of a complete set of enzymes, metabolite concentrations, and cofactors in finite ranges of concentrations. Perturbations are defined by finite ranges of concentrations ... Keywords: MCA metabolic control analysis, flux control coefficients, global sensitivity, homeostasis

Zelimir Kurtanjek

2009-03-01T23:59:59.000Z

24

Statistical analysis of correlated fossil fuel securities  

E-Print Network (OSTI)

Forecasting the future prices or returns of a security is extraordinarily difficult if not impossible. However, statistical analysis of a basket of highly correlated securities offering a cross-sectional representation of ...

Li, Derek Z

2011-01-01T23:59:59.000Z

25

Multivariate analysis of remote LIBS spectra using partial least squares, principal component analysis, and related techniques  

Science Conference Proceedings (OSTI)

Quantitative analysis with LIBS traditionally employs calibration curves that are complicated by the chemical matrix effects. These chemical matrix effects influence the LIBS plasma and the ratio of elemental composition to elemental emission line intensity. Consequently, LIBS calibration typically requires a priori knowledge of the unknown, in order for a series of calibration standards similar to the unknown to be employed. In this paper, three new Multivariate Analysis (MV A) techniques are employed to analyze the LIBS spectra of 18 disparate igneous and highly-metamorphosed rock samples. Partial Least Squares (PLS) analysis is used to generate a calibration model from which unknown samples can be analyzed. Principal Components Analysis (PCA) and Soft Independent Modeling of Class Analogy (SIMCA) are employed to generate a model and predict the rock type of the samples. These MV A techniques appear to exploit the matrix effects associated with the chemistries of these 18 samples.

Clegg, Samuel M [Los Alamos National Laboratory; Barefield, James E [Los Alamos National Laboratory; Wiens, Roger C [Los Alamos National Laboratory; Sklute, Elizabeth [MT HOLYOKE COLLEGE; Dyare, Melinda D [MT HOLYOKE COLLEGE

2008-01-01T23:59:59.000Z

26

An Integrated Display and Analysis Methodology for Multivariable Radar Data  

Science Conference Proceedings (OSTI)

Polarimetric Doppler radars provide valuable information about the kinematic and microphysical structure of storms. However, in-depth analysis using radar products, such as Doppler-derived wind vectors and hydrometeor identification, has been ...

Brenda A. Dolan; Steven A. Rutledge

2007-08-01T23:59:59.000Z

27

Statistical analysis of composite spectra  

SciTech Connect

We consider nearest-neighbor spacing distributions of composite ensembles of levels. These are obtained by combining independently unfolded sequences of levels containing only few levels each. Two problems arise in the spectral analysis of such data. One problem lies in fitting the nearest-neighbor spacing distribution to the histogram of level spacings obtained from the data. We show that the method of Bayesian inference is superior to this procedure. The second problem occurs when one unfolds such short sequences. We show that the unfolding procedure generically leads to an overestimate of the chaoticity parameter. This trend is absent in the presence of long-range level correlations. Thus, composite ensembles of levels from a system with long-range spectral stiffness yield reliable information about the chaotic behavior of the system.

Abul-Magd, A.Y. [Faculty of Science, Zagazig University, Zagazig (Egypt); Harney, H.L. [Max-Planck-Institut fuer Kernphysik, Heidelberg (Germany)]. E-mail: harney@mpi-hd.mpg.de; Simbel, M.H. [Faculty of Science, Zagazig University, Zagazig (Egypt); Weidenmueller, H.A. [Max-Planck-Institut fuer Kernphysik, Heidelberg (Germany)

2006-03-15T23:59:59.000Z

28

Multivariate analysis of progressive thermal desorption coupled gas chromatography-mass spectrometry.  

SciTech Connect

Thermal decomposition of poly dimethyl siloxane compounds, Sylgard{reg_sign} 184 and 186, were examined using thermal desorption coupled gas chromatography-mass spectrometry (TD/GC-MS) and multivariate analysis. This work describes a method of producing multiway data using a stepped thermal desorption. The technique involves sequentially heating a sample of the material of interest with subsequent analysis in a commercial GC/MS system. The decomposition chromatograms were analyzed using multivariate analysis tools including principal component analysis (PCA), factor rotation employing the varimax criterion, and multivariate curve resolution. The results of the analysis show seven components related to offgassing of various fractions of siloxanes that vary as a function of temperature. Thermal desorption coupled with gas chromatography-mass spectrometry (TD/GC-MS) is a powerful analytical technique for analyzing chemical mixtures. It has great potential in numerous analytic areas including materials analysis, sports medicine, in the detection of designer drugs; and biological research for metabolomics. Data analysis is complicated, far from automated and can result in high false positive or false negative rates. We have demonstrated a step-wise TD/GC-MS technique that removes more volatile compounds from a sample before extracting the less volatile compounds. This creates an additional dimension of separation before the GC column, while simultaneously generating three-way data. Sandia's proven multivariate analysis methods, when applied to these data, have several advantages over current commercial options. It also has demonstrated potential for success in finding and enabling identification of trace compounds. Several challenges remain, however, including understanding the sources of noise in the data, outlier detection, improving the data pretreatment and analysis methods, developing a software tool for ease of use by the chemist, and demonstrating our belief that this multivariate analysis will enable superior differentiation capabilities. In addition, noise and system artifacts challenge the analysis of GC-MS data collected on lower cost equipment, ubiquitous in commercial laboratories. This research has the potential to affect many areas of analytical chemistry including materials analysis, medical testing, and environmental surveillance. It could also provide a method to measure adsorption parameters for chemical interactions on various surfaces by measuring desorption as a function of temperature for mixtures. We have presented results of a novel method for examining offgas products of a common PDMS material. Our method involves utilizing a stepped TD/GC-MS data acquisition scheme that may be almost totally automated, coupled with multivariate analysis schemes. This method of data generation and analysis can be applied to a number of materials aging and thermal degradation studies.

Van Benthem, Mark Hilary; Mowry, Curtis Dale; Kotula, Paul Gabriel; Borek, Theodore Thaddeus, III

2010-09-01T23:59:59.000Z

29

Multivariate analysis of structural economic indicators for Croatia and EU 27  

Science Conference Proceedings (OSTI)

The last (5th) wave of EU enlargement ended on 1st January 2007 with the accession of Romania and Bulgaria. Many countries of the South-Eastern Europe aspire to join the EU. Croatia appears to be the next prospective member, so the aim of this paper ... Keywords: Ward's method, classification, cluster analysis, k-means method, multivariate method, structural economic indicators

Natasa Kurnoga Zivadinovic; Ksenija Dumicic; Anita Ceh Casni

2009-05-01T23:59:59.000Z

30

Multivariate Analysis of Real Option Value Based on Grey Relational Model  

Science Conference Proceedings (OSTI)

Real option value is determined by a variety of uncertain factors. It is very important to assess the intensity and importance of these factors affecting the real option value for investment decision makers. In this paper, the real option value system ... Keywords: real option value, multivariate analysis, grey relational model, optimization

Zheng-Xin Wang; Ling-ling Pei

2011-10-01T23:59:59.000Z

31

A multivariate linear regression analysis using finite mixtures of t distributions  

Science Conference Proceedings (OSTI)

Recently, finite mixture models have been used to model the distribution of the error terms in multivariate linear regression analysis. In particular, Gaussian mixture models have been employed. A novel approach that assumes that the error terms follow ... Keywords: EM algorithm, Maximum likelihood, Model identifiability, Non-normal error distribution, Unobserved heterogeneity

Giuliano Galimberti, Gabriele Soffritti

2014-03-01T23:59:59.000Z

32

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

33

A Statistical Pattern Analysis Framework for Rooftop Unit Diagnostics  

NLE Websites -- All DOE Office Websites (Extended Search)

A Statistical Pattern Analysis Framework for Rooftop Unit Diagnostics Title A Statistical Pattern Analysis Framework for Rooftop Unit Diagnostics Publication Type Journal Article...

34

Analysis Methods for Characterizing Salinity Variability from Multivariate Time Series Applied to the Apalachicola Bay Estuary  

Science Conference Proceedings (OSTI)

Statistical analysis methods are developed to quantify the impacts of multiple forcing variables on the hydrographic variability within an estuary instrumented with an enduring observational system. The methods are applied to characterize the ...

Steven L. Morey; Dmitry S. Dukhovskoy

2012-04-01T23:59:59.000Z

35

Multivariate forecast of winter monsoon rainfall in India using SST anomaly as a predictor: Neurocomputing and statistical approaches  

E-Print Network (OSTI)

In this paper, the complexities in the relationship between rainfall and sea surface temperature (SST) anomalies during the winter monsoon (November-January) over India were evaluated statistically using scatter plot matrices and autocorrelation functions.Linear as well as polynomial trend equations were obtained and it was observed that the coefficient of determination for the linear trend was very low and it remained low even when polynomial trend of degree six was used. An exponential regression equation and an artificial neural network with extensive variable selection were generated to forecast the average winter monsoon rainfall of a given year using the rainfall amounts and the sea surface temperature anomalies in the winter monsoon months of the previous year as predictors. The regression coefficients for the multiple exponential regression equation were generated using Levenberg-Marquardt algorithm. The artificial neural network was generated in the form of a multiplayer perceptron with sigmoid non-linearity and genetic-algorithm based variable selection. Both of the predictive models were judged statistically using the Willmott index, percentage error of prediction, and prediction yields. The statistical assessment revealed the potential of artificial neural network over exponential regression.

Goutami Chattopadhyay; Surajit Chattopadhyay; Rajni Jain

2009-10-28T23:59:59.000Z

36

Data, Statistical Analysis and Geo-Spatial Information Tools...  

NLE Websites -- All DOE Office Websites (Extended Search)

More About Us Job Opportunities Working With Us Visiting Us Center for Transportation Analysis Data, Statistical Analysis and Geo-Spatial Information Tools The Center for...

37

Multivariate forecast of winter monsoon rainfall in India using SST anomaly as a predictor: Neurocomputing and statistical approaches  

E-Print Network (OSTI)

In this paper, the complexities in the relationship between rainfall and sea surface temperature (SST) anomalies during the winter monsoon (November-January) over India were evaluated statistically using scatter plot matrices and autocorrelation functions.Linear as well as polynomial trend equations were obtained and it was observed that the coefficient of determination for the linear trend was very low and it remained low even when polynomial trend of degree six was used. An exponential regression equation and an artificial neural network with extensive variable selection were generated to forecast the average winter monsoon rainfall of a given year using the rainfall amounts and the sea surface temperature anomalies in the winter monsoon months of the previous year as predictors. The regression coefficients for the multiple exponential regression equation were generated using Levenberg-Marquardt algorithm. The artificial neural network was generated in the form of a multiplayer perceptron with sigmoid non-l...

Chattopadhyay, Goutami; Jain, Rajni

2009-01-01T23:59:59.000Z

38

Mesoscale Precipitation Fields. Part I: Statistical Analysis and Hydrologic Response  

Science Conference Proceedings (OSTI)

A statistical objective analysis (SOA) scheme was developed to adjust estimates of rainfall accumulation from the WSR-88D in central Oklahoma using rain gauge measurements from the Oklahoma Mesonetwork. Statistical parameters of these rainfall ...

Augusto J. Pereira Fo.Kenneth C. Crawford

1999-01-01T23:59:59.000Z

39

Bayesian analysis of multivariate t linear mixed models using a combination of IBF and Gibbs samplers  

Science Conference Proceedings (OSTI)

The multivariate linear mixed model (MLMM) has become the most widely used tool for analyzing multi-outcome longitudinal data. Although it offers great flexibility for modeling the between- and within-subject correlation among multi-outcome repeated ... Keywords: 62F15, 62H12, 91-08, Conditional conjugate priors, Hierarchical models, Inverse Bayes formulas, MCMC, Multivariate longitudinal data

Wan-Lun Wang; Tsai-Hung Fan

2012-02-01T23:59:59.000Z

40

Change in Global Temperature: A Statistical Analysis  

Science Conference Proceedings (OSTI)

This paper investigates several issues relating to global climatic change using statistical techniques that impose minimal restrictions on the data. The main findings are as follows: 1) The global temperature increase since the last century is a ...

Gordon R. Richards

1993-03-01T23:59:59.000Z

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.


41

Understanding Manufacturing Energy Use Through Statistical Analysis  

E-Print Network (OSTI)

Energy in manufacturing facilities is used for direct production of goods, space conditioning, and general facility support such as lighting. This paper presents a methodology for statistically analyzing plant energy use in terms of these major end uses.

Kissock, J. K.; Seryak, J.

2004-01-01T23:59:59.000Z

42

Utility Green Pricing Programs: A Statistical Analysis of Program...  

NLE Websites -- All DOE Office Websites (Extended Search)

NRELTP-620-35609 ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY NATIONAL RENEWABLE ENERGY LABORATORY Utility Green Pricing Programs: A Statistical Analysis of Program...

43

Statistical Analysis of Dross Data for Hydro Aluminium Casthouses  

Science Conference Proceedings (OSTI)

Presentation Title, Statistical Analysis of Dross Data for Hydro Aluminium Casthouses. Author(s), Christian Rosenkilde, Inge Johansen, Amanda Bowles. On-Site ...

44

Statistical analysis of solar irradiation in a distributed microgrid  

E-Print Network (OSTI)

UNIVERSITY OF CALIFORNIA, SAN DIEGO Statistical analysis ofChair University of California, San Diego iii DEDICATION ForEngineering) University of California, San Diego, 2010

Harper, James Patrick

2010-01-01T23:59:59.000Z

45

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

46

Modern Statistical Methods for GLAST Event Analysis  

E-Print Network (OSTI)

We describe a statistical reconstruction methodology for the GLAST LAT. The methodology incorporates in detail the statistics of the interactions of photons and charged particles with the tungsten layers in the LAT, and uses the scattering distributions to compute the full probability distribution over the energy and direction of the incident photons. It uses model selection methods to estimate the probabilities of the possible geometrical configurations of the particles produced in the detector, and numerical marginalization over the energy loss and scattering angles at each layer. Preliminary results show that it can improve on the tracker-only energy estimates for muons and electrons incident on the LAT.

Robin D. Morris; Johann Cohen-Tanugi

2007-03-28T23:59:59.000Z

47

The National Meteorological Center's Spectral Statistical-Interpolation Analysis System  

Science Conference Proceedings (OSTI)

At the National Meteorological Center (NMC), a new analysis system is being extensively tested for possible use in the operational global data assimilation system. This analysis system is called the spectral statistical- interpolation (SSI) ...

David F. Parrish; John C. Derber

1992-08-01T23:59:59.000Z

48

Statistical Uncertainty Analysis Applied to Criticality Calculation  

Science Conference Proceedings (OSTI)

In this paper, we present an uncertainty methodology based on a statistical approach, for assessing uncertainties in criticality prediction using monte carlo method due to uncertainties in the isotopic composition of the fuel. The methodology has been applied to criticality calculations with MCNP5 with additional stochastic input of the isotopic fuel composition. The stochastic input were generated using the latin hypercube sampling method based one the probability density function of each nuclide composition. The automatic passing of the stochastic input to the MCNP and the repeated criticality calculation is made possible by using a python script to link the MCNP and our latin hypercube sampling code.

Hartini, Entin; Andiwijayakusuma, Dinan; Susmikanti, Mike; Nursinta, A. W. [Centre for Nuclear Informatics Development, National Nuclear Energy Agency of Indonesia (Indonesia)

2010-06-22T23:59:59.000Z

49

Statistics  

NLE Websites -- All DOE Office Websites (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

50

On the Statistical Analysis of Cyclone Deepening Rates  

Science Conference Proceedings (OSTI)

Statistical analysis of cyclone deepening rates has been used in the past to infer distinctions between physical processes operative in cases of explosive cyclogenesis and lesser storms. This note attempts to qualify the conclusions of the ...

Paul J. Roebber

1989-10-01T23:59:59.000Z

51

Multivariate comonotonicity  

Science Conference Proceedings (OSTI)

In this paper we consider several multivariate extensions of comonotonicity. We show that naive extensions do not enjoy some of the main properties of the univariate concept. In order to have these properties, more structures are needed than in the univariate ... Keywords: Copula, Cyclical monotonicity, Optimal coupling, Rearrangements, Supermodular function, primary, secondary

Giovanni Puccetti; Marco Scarsini

2010-01-01T23:59:59.000Z

52

Statistical GPU power analysis using tree-based methods  

Science Conference Proceedings (OSTI)

Graphics Processing Units (GPUs) have emerged as a promising platform for parallel computation. With a large number of scalar processors and abundant memory bandwidth, GPUs provide substantial computation power. While delivering high computation performance, ... Keywords: GTX 280 GPU, statistical GPU power analysis, parallel computation, scalar processors, memory bandwidth, computation power, power supplies, cooling systems, power consumption requirement, high-level GPU power consumption model, tree-based random Statistical forest methods, GPU runtime power consumption, performance metrics, GPU simulator, CUDA kernels

Jianmin Chen; Bin Li; Ying Zhang; Lu Peng; Jih-kwon Peir

2011-07-01T23:59:59.000Z

53

Data analysis using the Gnu R system for statistical computation  

Science Conference Proceedings (OSTI)

R is a language system for statistical computation. It is widely used in statistics, bioinformatics, machine learning, data mining, quantitative finance, and the analysis of clinical drug trials. Among the advantages of R are: it has become the standard language for developing statistical techniques, it is being actively developed by a large and growing global user community, it is open source software, it is highly portable (Linux, OS-X and Windows), it has a built-in documentation system, it produces high quality graphics and it is easily extensible with over four thousand extension library packages available covering statistics and applications. This report gives a very brief introduction to R with some examples using lattice QCD simulation results. It then discusses the development of R packages designed for chi-square minimization fits for lattice n-pt correlation functions.

Simone, James; /Fermilab

2011-07-01T23:59:59.000Z

54

Probabilistic Estimation of Multivariate Streamflow Using Independent Component Analysis and Climate Information  

Science Conference Proceedings (OSTI)

A statistical estimation approach is presented and applied to multiple reservoir inflow series that form part of Sydney’s water supply system. The approach involves first identifying sources of interannual and interdecadal climate variability ...

Seth Westra; Ashish Sharma

2009-12-01T23:59:59.000Z

55

Traffic Measurement and Statistical Analysis in a Disaster Area Scenario  

E-Print Network (OSTI)

-of-Hospital] disaster response."([5]) Public safety units need reliable communication independent of any inTraffic Measurement and Statistical Analysis in a Disaster Area Scenario Nils Aschenbruck, Matthias, 53117 Bonn, Germany {aschenbruck, matthew, martini, toelle}@cs.uni-bonn.de Abstract-- Disaster areas

Frank, Matthias

56

Statistical Analysis of Traffic Measurements in a Disaster Area Scenario  

E-Print Network (OSTI)

challenges of information sharing in OOH [Out-of-Hospital] disaster response."([1]) Performance evaluationStatistical Analysis of Traffic Measurements in a Disaster Area Scenario Considering Heavy Load-- Catastrophes cause an area of destruction including destroyed infrastructure. These disaster area scenarios

Frank, Matthias

57

Statistical Analysis of Geothermal Wells in the United States  

Science Conference Proceedings (OSTI)

This study represents the first attempt to characterize the U.S. geothermal-hydrothermal resource from well data. The report contains field test data on more than 500 geothermal wells and includes statistical analyses of key well parameters. Utilities can use the information in planning and engineering analysis.

1987-07-24T23:59:59.000Z

58

STATISTICAL ANALYSIS AND STRUCTURE OPTIMIZATION OF LARGE PHOTOVOLTAIC MODULE  

E-Print Network (OSTI)

on the output power of large Photovoltaic (PV) module by modeling each PV cell as a current source whose short. Photovoltaic (PV) is a simple and elegant method of harnessing the sun's energy. PV devices (solar cellsSTATISTICAL ANALYSIS AND STRUCTURE OPTIMIZATION OF LARGE PHOTOVOLTAIC MODULE RATHEESH R

Qiu, Qinru

59

Earnings forecast bias -a statistical analysis Franois Dossou  

E-Print Network (OSTI)

Earnings forecast bias - a statistical analysis François Dossou Sandrine Lardic** Karine Michalon' earnings forecasts is an important aspect of research for different reasons: Many empirical studies employ analysts' consensus forecasts as a proxy for the market's expectations of future earnings in order

Paris-Sud XI, Université de

60

Statistical Analysis of X-ray Speckle at the NSLS  

E-Print Network (OSTI)

We report a statistical analysis of the static speckle produced by illuminating a disordered aerogel sample by a nominally coherent x-ray beam at wiggler beamline X25 at the National Synchrotron Light Source. The results of the analysis allow us to determine that the coherence delivered to the X25 hutch is within 35% of what is expected. The rate of coherent photons is approximately two times smaller than expected on the basis of the X25 wiggler source brilliance.

Ophelia K. C. Tsui; S. G. J. Mochrie; L. E. Berman

1997-09-30T23:59:59.000Z

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61

Feature-Based Statistical Analysis of Combustion Simulation Data  

SciTech Connect

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

62

Improved Quantitative Analysis of Ion Mobility Spectrometry by Chemometric Multivariate Calibration  

Science Conference Proceedings (OSTI)

Traditional peak-area calibration and the multivariate calibration methods of principle component regression (PCR) and partial least squares (PLS), including unfolded PLS (U-PLS) and multi-way PLS (N-PLS), were evaluated for the quantification of 2,4,6-trinitrotoluene (TNT) and cyclo-1,3,5-trimethylene-2,4,6-trinitramine (RDX) in Composition B samples analyzed by temperature step desorption ion mobility spectrometry (TSD-IMS). The true TNT and RDX concentrations of eight Composition B samples were determined by high performance liquid chromatography with UV absorbance detection. Most of the Composition B samples were found to have distinct TNT and RDX concentrations. Applying PCR and PLS on the exact same IMS spectra used for the peak-area study improved quantitative accuracy and precision approximately 3 to 5 fold and 2 to 4 fold, respectively. This in turn improved the probability of correctly identifying Composition B samples based upon the estimated RDX and TNT concentrations from 11% with peak area to 44% and 89% with PLS. This improvement increases the potential of obtaining forensic information from IMS analyzers by providing some ability to differentiate or match Composition B samples based on their TNT and RDX concentrations.

Fraga, Carlos G.; Kerr, Dayle; Atkinson, David A.

2009-09-01T23:59:59.000Z

63

Lifetime statistics of quantum chaos studied by a multiscale analysis  

SciTech Connect

In a series of pump and probe experiments, we study the lifetime statistics of a quantum chaotic resonator when the number of open channels is greater than one. Our design embeds a stadium billiard into a two dimensional photonic crystal realized on a silicon-on-insulator substrate. We calculate resonances through a multiscale procedure that combines energy landscape analysis and wavelet transforms. Experimental data is found to follow the universal predictions arising from random matrix theory with an excellent level of agreement.

Di Falco, A.; Krauss, T. F. [School of Physics and Astronomy, University of St. Andrews, North Haugh, St. Andrews, KY16 9SS (United Kingdom); Fratalocchi, A. [PRIMALIGHT, Faculty of Electrical Engineering, Applied Mathematics and Computational Science, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900 (Saudi Arabia)

2012-04-30T23:59:59.000Z

64

Use of multivariate regression for analysis of CO{sub 2} laser lidar data from long pathlengths in ambient atmosphere  

SciTech Connect

Until recently use of lasers for long path absorption measurements has relied on using differential absorption at two wavelengths to look for one species at a time in the atmosphere. With the advent of multi-line CO{sub 2} lasers it is now feasible to generate 30 to 40 lines in a rapid burst to look for spectra of all the chemical species that may be present. Measurements have been made under relatively constant meteorological conditions in a summertime desert environment with a multi-line tunable laser. Multivariate regression analysis of this data shows that the spectra can be accurately fit using a small number of spectral factors or eigenvectors of the time dependent spectral data matrix. The factors can be rationalized in terms of lidar system effects and atmospheric composition changes.

Sander, R.K.; Quagliano, J.R.; Fry, H. [and others

1997-08-01T23:59:59.000Z

65

Statistical analysis of a silica gel rotary dehumidifier  

SciTech Connect

A regression analysis was conducted on experimental data obtained during the testing of a solid desiccant dehumidifier at the Solar Energy Research Institute (SERI has since been renamed the National Renewable Energy Laboratory). The data obtained was studied using statistical techniques to determine the regression equation for the temperature and humidity at the processed air outlet of the dehumidifier. These variables determine the cooling capacity and efficiency (Coefficient of Performance) of any desiccant cooling cycle. The analysis is used to determine the relative impact the input parameters have on the outlet temperature and humidity.

Kini, A.; Waugaman, D.G.; Kettleborough, C.F. (Texas A and M Univ., College Station (United States))

1993-01-01T23:59:59.000Z

66

Financial health prediction models using artificial neural networks, genetic algorithm and multivariate discriminant analysis: Iranian evidence  

Science Conference Proceedings (OSTI)

The purpose of this study is to design a model to predict financial health of companies. Financial ratios for 180 manufacturing companies quoted in Tehran Stock Exchange for one year (year ended March 21, 2008) have been used. Three models; based on ... Keywords: Artificial neural networks, Discriminant analysis, Financial health prediction, Financial ratios, Genetic algorithm, Iranian company

F. Mokhatab Rafiei; S. M. Manzari; S. Bostanian

2011-08-01T23:59:59.000Z

67

Statistical analysis of cascading failures in power grids  

SciTech Connect

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

68

Statistical uncertainty analysis of radon transport in nonisothermal, unsaturated soils  

Science Conference Proceedings (OSTI)

To accurately predict radon fluxes soils to the atmosphere, we must know more than the radium content of the soil. Radon flux from soil is affected not only by soil properties, but also by meteorological factors such as air pressure and temperature changes at the soil surface, as well as the infiltration of rainwater. Natural variations in meteorological factors and soil properties contribute to uncertainty in subsurface model predictions of radon flux, which, when coupled with a building transport model, will also add uncertainty to predictions of radon concentrations in homes. A statistical uncertainty analysis using our Rn3D finite-element numerical model was conducted to assess the relative importance of these meteorological factors and the soil properties affecting radon transport. 10 refs., 10 figs., 3 tabs.

Holford, D.J.; Owczarski, P.C.; Gee, G.W.; Freeman, H.D.

1990-10-01T23:59:59.000Z

69

STATISTICAL ANALYSIS OF TANK 5 FLOOR SAMPLE RESULTS  

SciTech Connect

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 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, G.

2012-08-03T23:59:59.000Z

70

STATISTICAL ANALYSIS OF TANK 5 FLOOR SAMPLE RESULTS  

SciTech Connect

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.

2012-08-01T23:59:59.000Z

71

STATISTICAL ANALYSIS OF TANK 5 FLOOR SAMPLE RESULTS  

Science Conference Proceedings (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

72

Statistical Analysis Of Tank 5 Floor Sample Results  

Science Conference Proceedings (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

73

TRACG Statistical Method for Analysis of Anticipated Operational Occurrences  

Science Conference Proceedings (OSTI)

This paper discusses the application of TRACG, the General Electric (GE) proprietary version of the Transient Reactor Analysis Code, to analyses of Anticipated Operational Occurrences (AOOs) for boiling water reactors (BWR). Realistic calculations with TRACG can be used together with statistical quantification of uncertainties to support licensing evaluations for these transient events. The approach follows the code scaling applicability and uncertainty (CSAU) methodology consistent with current regulatory guidelines. TRACG applications offer the benefit of more accurate simulations of BWR events and improved operating margins. TRACG uses advanced realistic one-dimensional and three-dimensional methods to model the phenomena that are important in evaluating the operation of BWRs. TRACG has a multi-dimensional, two-fluid model for the reactor thermal hydraulics and a three-dimensional reactor kinetics model consistent with the GE 3D core simulator PANACEA. These features allow for detailed, realistic simulation of a wide range of BWR phenomena. The models have been used to simulate a large variety of test and reactor configurations. Some of the key benchmark comparisons of TRACG with test data will be presented. AOO events are analyzed to establish the reactor system response, including the calculation of the Operating Limit Minimum Critical Power Ratio (OLMCPR). The application of TRACG is also used to demonstrate that acceptable fuel design limits and reactor coolant pressure boundary design conditions are not exceeded during an AOO. This paper describes the method of quantification of uncertainties as applied to the realistic nominal TRACG analyses. The uncertainties and biases in the models and plant parameters are evaluated using a Monte Carlo method to predict a statistical limit for the critical safety parameters. The uncertainties and biases considered include the model uncertainties, experimental uncertainties, plant uncertainties, process measurement errors, and manufacturing tolerances. (authors)

Bolger, Francis T.; Heck, Charles L.; Andersen, Jens G.M. [GE Nuclear Energy, M/C A33, Castle Hayne Road, Wilmington, NC, 28402 (United States)

2002-07-01T23:59:59.000Z

74

MATH 437A/598C: Multivariate Analysis Spring 2012 Department of Applied Mathematics and Statistics, CSM Syllabus  

E-Print Network (OSTI)

of new students, and plenty of energy on campus and jobs after graduation (100 percent job place- ment is at the New Orleans Hilton Riv- erside Hotel, third floor, the Belle Chasse Room. This past summer we took 47 Society in de- veloping educational material for K-12 on the theme of energy. On February 26 and 27 we

75

Statistical methods for genetic association analysis involving complex longitudinal data  

E-Print Network (OSTI)

and Time to Event Analysis ……………… 171 AnalysisLongitudinal and Time to Event Analysis As noted, missingand survival (time to event) analysis 62 . This joint model

Salem, Rany Mansour

2009-01-01T23:59:59.000Z

76

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; 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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.

77

Assessing the Effects of Data Selection with the DAO Physical-Space Statistical Analysis System  

Science Conference Proceedings (OSTI)

Conventional optimal interpolation (OI) analysis systems solve the standard statistical analysis equations approximately, by invoking a local approximation and a data selection procedure. Although solution of the analysis equations is essentially ...

Stephen E. Cohn; Arlindo da Silva; Jing Guo; Meta Sienkiewicz; David Lamich

1998-11-01T23:59:59.000Z

78

Monolithic or hierarchical star formation? A new statistical analysis  

E-Print Network (OSTI)

We consider an analytic model of cosmic star formation which incorporates supernova feedback, gas accretion and enriched outflows, reproducing the history of cosmic star formation, metallicity, supernovae type II rates and the fraction of baryons allocated to structures. We present a new statistical treatment of the available observational data on the star formation rate and metallicity that accounts for the presence of possible systematics. We then employ a Bayesian Markov Chain Monte Carlo method to compare the predictions of our model with observations and derive constraints on the 7 free parameters of the model. We find that the dust correction scheme one chooses to adopt for the star formation data is critical in determining which scenario is favoured between a hierarchical star formation model, where star formation is prolonged by accretion, infall and merging, and a monolithic scenario, where star formation is rapid and efficient. We distinguish between these modes by defining a characteristic minimum mass, M > 10^{11} M_solar, in our fiducial model, for early type galaxies where star formation occurs efficiently. Our results indicate that the hierarchical star formation model can achieve better agreement with the data, but that this requires a high efficiency of supernova-driven outflows. In a monolithic model, our analysis points to the need for a mechanism that drives metal-poor winds, perhaps in the form of supermassive black hole-induced outflows. Furthermore, the relative absence of star formation beyond z ~ 5 in the monolithic scenario requires an alternative mechanism to dwarf galaxies for reionizing the universe at z ~ 11, as required by observations of the microwave background. While the monolithic scenario is less favoured in terms of its quality-of-fit, it cannot yet be excluded.

Marios Kampakoglou; Roberto Trotta; Joe Silk

2007-09-07T23:59:59.000Z

79

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

80

Statistical timing analysis using levelized covariance propagation considering systematic and random variations of process parameters  

Science Conference Proceedings (OSTI)

Variability in process parameters is making accurate timing analysis of nano-scale integrated circuits an extremely challenging task. In this article, we propose a new algorithm for statistical static timing analysis (SSTA) using levelized covariance ... Keywords: Process variation, spatial correlation, statistical timing analysis

Kunhyuk Kang; Bipul C. Paul; Kaushik Roy

2006-10-01T23:59:59.000Z

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

A statistical analysis of the natural gas futures market : the interplay of sentiment, volatility and prices.  

E-Print Network (OSTI)

??This paper attempts to understand the price dynamics of the North American natural gas market through a statistical survey that includes an analysis of the… (more)

Fazzio, Thomas J. (Thomas Joseph)

2010-01-01T23:59:59.000Z

82

Optimizing disk storage to support statistical analysis operations  

Science Conference Proceedings (OSTI)

Data stored in spreadsheets and relational database tables can be viewed as "worksheets" consisting of rows and columns, with rows corresponding to records. Correspondingly, the typical practice is to store the data on disk in row major order. While ... Keywords: business intelligence tools, data mining, data warehouses, database systems, statistical tools

Allen Parrish; Susan Vrbsky; Brandon Dixon; Weigang Ni

2005-01-01T23:59:59.000Z

83

An Analysis of Mesoscale VAS Retrievals Using Statistical Structure Functions  

Science Conference Proceedings (OSTI)

Statistical structure functions are used to evaluate sounding data from the 6–7 March day of the 1982 AVE/VAS Ground Truth Field Experiment. Functional analyses are performed for five observation times starting at 1200 GMT 6 March and ending at ...

Henry E. Fuelberg; Paul J. Meyer

1986-01-01T23:59:59.000Z

84

Efficient tail estimation for massive correlated log-normal sums: with applications in statistical leakage analysis  

Science Conference Proceedings (OSTI)

Existing approaches to statistical leakage analysis focus only on calculating the mean and variance of the total leakage. In practice, however, what concerns most is the tail behavior of the sum distribution, as it tells that to what extent the design ... Keywords: comonotonicity, fast correlation transform, statistical leakage analysis, tail behavior

Mingzhi Gao; Zuochang Ye; Yan Wang; Zhiping Yu

2010-06-01T23:59:59.000Z

85

Selected Statistical Methods for Analysis of Load Research Data  

Science Conference Proceedings (OSTI)

Applying innovative statistical methods, researchers developed a probabilistic approach that treats loads as random variables. Though preliminary, these findings can lead to a better understanding of load research design and more efficient use of the data. This report is available only to funders of Program 101A or 101.001. Funders may download this report at http://my.primen.com/Applications/DE/Community/index.asp .

1984-05-01T23:59:59.000Z

86

Internet Data Analysis for the Undergraduate Statistics Curriculum  

E-Print Network (OSTI)

Haythornthwaite edts. (2002). The Internet in Everyday Life.Where Mathematics meets the Internet. Notices of the AMS,Internet Data Analysis for the Undergraduate Statitics

Juana Sanchez; Yan He

2011-01-01T23:59:59.000Z

87

Comparing statistical and neural network approaches for urban air pollution time series analysis  

Science Conference Proceedings (OSTI)

The paper presents an analysis of the performances obtained by using an artificial neural networks model and several statistical models for urban air quality forecasting. The time series of monthly averages concentrations (Sedimentable Dusts, Total Suspended ... Keywords: ARIMA, back-propagation, feed-forward neural network, statistical models, time series, urban air quality

Daniel Dunea; Mihaela Oprea; Emil Lungu

2008-02-01T23:59:59.000Z

88

Statistical Analysis of Steady State Leakage Currents in Nano-CMOS Devices  

E-Print Network (OSTI)

Statistical Analysis of Steady State Leakage Currents in Nano-CMOS Devices Jawar Singh, Jimson, UK. Department of Computer Science and Engineering, University of North Texas, USA. jawar also propose a statistical model to characterize nano-scale CMOS device characteristics such as dynamic

Mohanty, Saraju P.

89

Statistical Properties of Three-Hour Prediction “Errors” Derived from the Mesoscale Analysis and Prediction System  

Science Conference Proceedings (OSTI)

Statistical properties of observed residuals from the Mesoscale Analysis and Prediction System (MAPS), a real-time data assimilation system, were investigated. Observed residuals are defined as differences between rawinsonde observations ...

Dezs? Dévényi; Thomas W. Schlatter

1994-06-01T23:59:59.000Z

90

A Framework for the Statistical Analysis of Large Radar and Lightning Datasets: Results from STEPS 2000  

Science Conference Proceedings (OSTI)

A framework for the statistical analysis of large radar and lightning datasets is described and implemented in order to analyze two research questions in atmospheric electricity: storms dominated by positive cloud-to-ground (+CG) lightning and ...

Timothy J. Lang; Steven A. Rutledge

2011-08-01T23:59:59.000Z

91

A statistical analysis of the natural gas futures market : the interplay of sentiment, volatility and prices  

E-Print Network (OSTI)

This paper attempts to understand the price dynamics of the North American natural gas market through a statistical survey that includes an analysis of the variables influencing the price and volatility of this energy ...

Fazzio, Thomas J. (Thomas Joseph)

2010-01-01T23:59:59.000Z

92

Bounds for functions of multivariate risks  

Science Conference Proceedings (OSTI)

Li et al. [Distributions with Fixed Marginals and Related Topics, vol. 28, Institute of Mathematics and Statistics, Hayward, CA, 1996, pp. 198-212] provide bounds on the distribution and on the tail for functions of dependent random vectors having fixed ... Keywords: coupling, dual bounds, multivariate marginals, risk measures, value-at-risk

Paul Embrechts; Giovanni Puccetti

2006-02-01T23:59:59.000Z

93

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.

94

Single Variable and Multivariate Analysis of Remote Laser-Induced Breakdown Spectra for Prediction of Rb, Sr, Cr, Ba, and V in Igneous Rocks  

SciTech Connect

Laser-induced breakdown spectroscopy (LIBS) will be employed by the ChemCam instrument on the Mars Science Laboratory rover Curiosity to obtain UV, VIS, and VNIR atomic emission spectra of surface rocks and soils. LIBS quantitative analysis is complicated by chemical matrix effects related to abundances of neutral and ionized species in the resultant plasma, collisional interactions within plasma, laser-to-sample coupling efficiency, and self-absorption. Atmospheric composition and pressure also influence the intensity of LIBS plasma. These chemical matrix effects influence the ratio of intensity or area of a given emission line to the abundance of the element producing that line. To compensate for these complications, multivariate techniques, specifically partial least-squares regression (PLS), have been utilized to predict major element compositions (>1 wt.% oxide) of rocks, PLS methods regress one or multiple response variables (elemental concentrations) against multiple explanatory variables (intensity at each pixel of the spectrometers). Because PLS utilizes all available explanatory variable and eliminates multicollinearity, it generally performs better than univariate methods for prediction of major elements. However, peaks arising from emissions from trace elements may be masked by peaks of higher intensities from major elements. Thus in PLS regression, wherein a correlation coefficient is determined for each elemental concentration at each spectrometer pixel, trace elements may show high correlation with more intense lines resulting from optical emissions of other elements. This could result in error in predictions of trace element concentrations. Here, results of simple linear regression (SLR) and multivariate PLS-2 regression for determination of trace Rb, Sr, Cr, Ba, and V in igneous rock samples are compared. This study focuses on comparisons using only line intensities rather than peak areas to highlight differences between SLR and PLS.

Clegg, Samuel M [Los Alamos National Laboratory; Wiens, Roger C. [Los Alamos National Laboratory; Speicher, Elly A [MT HOLYOKE COLLEGE; Dyar, Melinda D [MT HOLYOKE COLLEGE; Carmosino, Marco L [MT HOLYOKE COLLEGE

2010-12-23T23:59:59.000Z

95

Stochastic Precipitation Generation Based on a Multivariate Autoregression Model  

Science Conference Proceedings (OSTI)

The problem of stochastic precipitation generation has long been of interest. A good generator should produce time series with statistical properties to match those of the real precipitation. Here, a multivariate autoregression model designed to ...

Oleg V. Makhnin; Devon L. McAllister

2009-12-01T23:59:59.000Z

96

Projection-pursuit approach to robust linear discriminant analysis  

Science Conference Proceedings (OSTI)

Discriminant analysis plays an important role in multivariate statistics as a prediction and classification method. It has been successfully applied in many fields of work and research. As it happens with other multivariate methods, discriminant analysis ... Keywords: 62G35, 62H30, 62P10, Asymptotic variance, High-dimensional data, Influence function, Linear discriminant analysis, Microarray data, Projection-pursuit, Robustness

Ana M. Pires; João A. Branco

2010-11-01T23:59:59.000Z

97

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

98

Multivariate Curve Resolution Analysis for Interpretation of Dynamic Cu K-Edge X-ray Absorption Spectroscopy Spectra for a Cu Doped V2O5 Lithium Battery  

DOE Green Energy (OSTI)

Vanadium pentoxide materials prepared through sol-gel processes act as excellent intercalation hosts for lithium as well as polyvalent cations. A chemometric approach has been applied to study the X-ray absorption near-edge structure (XANES) evolution during in situ scanning of the Cu{sub 0.1}V{sub 2}O{sub 5} xerogel/Li ions battery. Among the more common techniques, the fixed size windows evolving factor analysis (FSWEFA) permits the number of species involved in the experiment to be determined and the range of existence of each of them. This result, combined with the constraints of the invariance of the total concentration and non-negativity of both concentrations and spectra, enabled us to obtain the spectra of the pure components using a multivariate curve resolution refined by an alternate least squares fitting procedure. This allowed the normalized concentration profile to be understood. This data treatment evidenced the occurrence, for the first time, of three species during the battery charging. This fact finds confirmation by comparison of the pure spectra with the experimental ones. Extended X-ray absorption fine structure (EXAFS) analysis confirms the occurrence of three different chemical environments of Cu during battery charging.

Conti, P.; Zamponi, S; Giorgetti, M; Berrettoni, M; Smyrl, W

2010-01-01T23:59:59.000Z

99

Combining statistical data analysis techniques to extract topical keyword classes from corpora  

Science Conference Proceedings (OSTI)

We present an unsupervised method for the generation from a textual corpus of sets of keywords, that is, words whose occurrences in a text are strongly connected with the presence of a given topic. Each of these classes is associated with one of the ... Keywords: Statistical Data Analysis, Topic Characterization, Topic Detection, Unsupervised Classification

Mathias Rossignol; Pascale Sébillot

2005-01-01T23:59:59.000Z

100

New Equipment of Distinguishing Rock from Coal Based on Statistical Analysis of Fast Fourier Transform  

Science Conference Proceedings (OSTI)

A new equipment of distinguishing rock from coal based on statistical analysis of Fast Fourier Transform (FFT) is invented which can be used in the mechanized caving coal locales. First, eight groups of sound signals which had been measured during caving ... Keywords: Threshold of Distinguishing Rock from Coal, Fast Fourier Transform (FFT), Frequency Energy Variance, Frequency Energy Ratio

Gu Tao; Li Xu

2009-05-01T23:59:59.000Z

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

Enhancing product performance in machining processes: statistical analysis and development of predictive models  

Science Conference Proceedings (OSTI)

Process parameters, tool geometry and operating conditions considerably influence the quality and the functional performance, including the service-life, of machined components. Surface characteristics of the machined products such as hardness and roughness ... Keywords: lubrication systems, predictive models, statistical analysis, sustainable machining

G. Rotella, S. Rizzuti, D. Umbrello

2013-07-01T23:59:59.000Z

102

Satellite Electrical Power Subsystem: Statistical Analysis of On-Orbit Anomalies and Failures  

Science Conference Proceedings (OSTI)

A statistical analysis of satellite Electrical Power Subsystem (EPS) failures is conducted in this paper, and of particular interest is the comparison of the failures between the EPS of LEO and GEO satellites. 12To investigate in more details the failure ...

So Young Kim; Jean-Francois Castet; Joseph H. Saleh

2011-03-01T23:59:59.000Z

103

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)

104

Multicanonical entropy like-solution of statistical temperature weighted histogram analysis method (ST-WHAM)  

E-Print Network (OSTI)

A multicanonical update relation for calculation of the microcanonical entropy $S_{micro}(E)$ by means of the estimates of the inverse statistical temperature $\\beta_S$, is proposed. This inverse temperature is obtained from the recently proposed statistical temperature weighted histogram analysis method (ST-WHAM). The performance of ST-WHAM concerning the computation of $S_{micro}(E)$ from canonical measures, in a model with strong free-energy barriers, is also discussed on the basis of comparison with the multicanonical simulation estimates.

Rizzi, Leandro G

2011-01-01T23:59:59.000Z

105

An Isentropic Meso?-Scale Analysis System and Its Sensitivity to Aircraft and Surface Observations  

Science Conference Proceedings (OSTI)

An objective analysis scheme for meteorological variables on constant potential temperature surfaces is presented. The analysis uses a form of multivariate statistical interpolation and is designed th retain mesoscale detail in disparate ...

Stanley G. Benjamin

1989-07-01T23:59:59.000Z

106

Statistical analysis of summer winds in Geysers area prior to ASCOT 1979 experiment  

DOE Green Energy (OSTI)

Statistical analytical techniques were tested on 73 days and 16 stations of hourly data for the summer of 1977. These stations were located in the region surrounding the Geysers geothermal area. Principal components analysis (PCA) was used to define typical wind patterns in the region and to determine typical days for each station. Power spectral analysis was used to quantify the temporal variation of winds at Anderson Ridge and Anderson Springs (two stations included in the ASCOT 1979 study in the local region of Anderson Creek with very different terrain exposures). These results will help determine year to year difference in the wind fields in the ASCOT study region of complex terrain.

Porch, W.M.; Walton, J.J.

1980-02-01T23:59:59.000Z

107

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

DOE Data Explorer (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)

108

Fault detection in multivariate signals with applications to gas turbines  

Science Conference Proceedings (OSTI)

This paper proposes a fault detection method for multivariate signals. The method assesses whether or not the multivariate autocovariance functions of two independently sampled system signals coincide. If the first signal is known to be sampled from ... Keywords: autocovariances, fault detection, spectral analysis, stationary time series

Hany Bassily; Robert Lund; John Wagner

2009-03-01T23:59:59.000Z

109

Prediction of ENSO Episodes Using Canonical Correlation Analysis  

Science Conference Proceedings (OSTI)

Canonical correlation analysis (CCA) is explored as a multivariate linear statistical methodology with which to forecast fluctuations of the El Niño/Southern Oscillation (ENSO) in real time. CCA is capable of identifying critical sequence of ...

Anthony G. Barnston; Chester F. Ropelewski

1992-11-01T23:59:59.000Z

110

Interactive statistical-distribution-analysis program utilizing numerical and graphical methods  

SciTech Connect

The TERPED/P program is designed to facilitate the quantitative analysis of experimental data, determine the distribution function that best describes the data, and provide graphical representations of the data. This code differs from its predecessors, TEDPED and TERPED, in that a printer-plotter has been added for graphical output flexibility. The addition of the printer-plotter provides TERPED/P with a method of generating graphs that is not dependent on DISSPLA, Integrated Software Systems Corporation's confidential proprietary graphics package. This makes it possible to use TERPED/P on systems not equipped with DISSPLA. In addition, the printer plot is usually produced more rapidly than a high-resolution plot can be generated. Graphical and numerical tests are performed on the data in accordance with the user's assumption of normality or lognormality. Statistical analysis options include computation of the chi-squared statistic and its significance level and the Kolmogorov-Smirnov one-sample test confidence level for data sets of more than 80 points. Plots can be produced on a Calcomp paper plotter, a FR80 film plotter, or a graphics terminal using the high-resolution, DISSPLA-dependent plotter or on a character-type output device by the printer-plotter. The plots are of cumulative probability (abscissa) versus user-defined units (ordinate). The program was developed on a Digital Equipment Corporation (DEC) PDP-10 and consists of 1500 statements. The language used is FORTRAN-10, DEC's extended version of FORTRAN-IV.

Glandon, S. R.; Fields, D. E.

1982-04-01T23:59:59.000Z

111

Bayesian multivariate spatial models and their applications  

E-Print Network (OSTI)

Univariate hierarchical Bayes models are being vigorously researched for use in disease mapping, engineering, geology, and ecology. This dissertation shows how the models can also be used to build modelbased risk maps for areabased roadway tra?c crashes. Countylevel vehicle crash records and roadway data from Texas are used to illustrate the method. A potential extension that uses univariate hierarchical models to develop networkbased risk maps is also discussed. Several Bayesian multivariate spatial models for estimating the tra?c crash rates from di?erent types of crashes simultaneously are then developed. The speci?c class of spatial models considered is conditional autoregressive (CAR) model. The univariate CAR model is generalized for several multivariate cases. A general theorem for each case is provided to ensure that the posterior distribution is proper under improper and ?at prior. The performance of various multivariate spatial models is compared using a Bayesian information criterion. The Markov chain Monte Carlo (MCMC) computational techniques are used for the model parameter estimation and statistical inference. These models are illustrated and compared again with the Texas crash data. There are many directions in which this study can be extended. This dissertation concludes with a short summary of this research and recommends several promising extensions.

Song, Joon Jin

2004-08-01T23:59:59.000Z

112

MJO Initiation in the Real-Time Multivariate MJO Index  

Science Conference Proceedings (OSTI)

Madden–Julian oscillation (MJO) initiation in the real-time multivariate MJO (RMM) index is explored through an analysis of observed case studies and composite events. Specific examples illustrate that both the dates of MJO initiation and the ...

Katherine H. Straub

2013-02-01T23:59:59.000Z

113

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

Science Conference Proceedings (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

114

Generating multivariate extreme value distributions  

E-Print Network (OSTI)

We define in a probabilistic way a parametric family of multivariate extreme value distributions. We derive its copula, which is a mixture of several complete dependent copulas and total independent copulas, and the bivariate tail dependence and extremal coefficients. Based on the obtained results for these coefficients, we propose a method to built multivariate extreme value distributions with prescribed tail/extremal coefficients. We illustrate the results with examples of simulation of these distributions.

Ferreira, Helena

2012-01-01T23:59:59.000Z

115

Additive semisimple multivariable codes over F4  

Science Conference Proceedings (OSTI)

The structure of additive multivariable codes over Keywords: 11T61, 13M10, 81P70, 94B99, Abelian codes, Additive multivariable codes, Duality, Quantum codes

E. Martínez-Moro; A. Piñera-Nicolás; I. F. Rúa

2013-11-01T23:59:59.000Z

116

Multivariate Forecast Evaluation And Rationality Testing  

E-Print Network (OSTI)

1062—1088. MULTIVARIATE FORECASTS Chaudhuri, P. (1996): “OnKingdom. MULTIVARIATE FORECASTS Kirchgässner, G. , and U. K.2005): “Estimation and Testing of Forecast Rationality under

Komunjer, Ivana; OWYANG, MICHAEL

2007-01-01T23:59:59.000Z

117

Statistical Analysis of the Fourth Case Study in Reverse Auction Research  

E-Print Network (OSTI)

Participating in an auction and winning items by placing bids has been in practice since at least 500 B.C. Auctions have evolved since then and anyone can now participate in one online and buy items ranging from clothes, electronics, automobiles and homes using online auction websites, such as eBay. A Reverse Auction varies from the traditional style of Auction where items or services are won by placing successive higher bids until the auction ends. The study of Reverse Auction was first introduced to Texas A & M University in 2004 and continues today, using a SQL based web system. This current research provides a detailed statistical analysis of the fourth case study in this long running work. This fourth case study involved the participation of five bidders who had no prior experience in Reverse Auctions. A Microsoft Access database system and ASP web based user interface was developed and used to conduct these initial studies. However, due to the limited capability of the Access system to handle more than a limited number of connections or bidders, a Microsoft SQL database and web system was developed in 2006 and has been used in all subsequent studies. Case studies have involved up to ten participants. The results from the fourth case study show that a Reverse Auction can result in an increase in the average cost of the job to the owner. Also, there is evidence of game play amongst the bidders and against the purchaser that causes their profits to rise as they gain proficiency in the game. This behavior has been termed as 'tacit collision', but it is considered a byproduct of the system and not illegal behavior. This study analyzes the fourth study data to investigate if the behavior termed "tacit collusion" is evident in the bidding data. This analysis is completed by performing a detailed statistical analysis of the bidding data. Analysis of the profit percentages illustrates the different stages of the game play amongst the bidders. This game play behavior is illustrated by plotting average number of bids to the profit made by each bidder. The data clearly suggests that the players became efficient in their bidding strategy, although some bidders are more efficient than others. This observation negates the common conception that Reverse Auctions will result in lowering average costs for the owners. The individual data of bidders for bids and profit reveal why some players were able to obtain higher than average results and why the others were not. This study can be taken further by analyzing the patterns of the successful and unsuccessful players to determine what causes them to gain or lose profits.

Bhalerao, Aneesh Madhao

2011-08-01T23:59:59.000Z

118

A New Statistical–Dynamical Downscaling Procedure Based on EOF Analysis for Regional Time Series Generation  

Science Conference Proceedings (OSTI)

A new statistical–dynamical downscaling procedure is developed and then applied to high-resolution (regional) time series generation and wind resource assessment. The statistical module of the new procedure uses empirical orthogonal function (EOF) ...

Yosvany Martinez; Wei Yu; Hai Lin

2013-04-01T23:59:59.000Z

119

Fault detection of multivariable system using its directional properties  

E-Print Network (OSTI)

A novel algorithm for making the combination of outputs in the output zero direction of the plant always equal to zero was formulated. Using this algorithm and the result of MacFarlane and Karcanias, a fault detection scheme was proposed which utilizes the directional property of the multivariable linear system. The fault detection scheme is applicable to linear multivariable systems. Results were obtained for both continuous and discrete linear multivariable systems. A quadruple tank system was used to illustrate the results. The results were further verified by the steady state analysis of the plant.

Pandey, Amit Nath

2004-12-01T23:59:59.000Z

120

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

Science Conference Proceedings (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

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

FT-IR Microspectroscopy and Multivariate Statistics on Plant ...  

Science Conference Proceedings (OSTI)

... The model system chosen for this study was the uni-cellular algae, chlorella.pyrenoidosa, which was found to be sensitive to many of the same ...

122

Estimating the Observed Atmospheric Response to SST Anomalies: Maximum Covariance Analysis, Generalized Equilibrium Feedback Assessment, and Maximum Response Estimation  

Science Conference Proceedings (OSTI)

Three multivariate statistical methods to estimate the influence of SST or boundary forcing on the atmosphere are discussed. Lagged maximum covariance analysis (MCA) maximizes the covariance between the atmosphere and prior SST, thus favoring ...

Claude Frankignoul; Nadine Chouaib; Zhengyu Liu

2011-05-01T23:59:59.000Z

123

Generating Multivariate Nonnormal Distribution Random Numbers Based on Copula Function  

E-Print Network (OSTI)

Abstract. Random numbers of multivariate nonnormal distribution are strongly requested by the area of theoretic research and application in practice. A new algorithm of generating multivariate nonnormal distribution random numbers is given based on the Copula function, and theoretic analysis suggests that the algorithm is suitable to be feasible. Furthermore, simulation shows that the empirical distribution which is formed by random numbers generating from the proposed algorithm can well approach the original distribution.

Xiaoping Hu; Jianmin He; Hongsheng Ly

2006-01-01T23:59:59.000Z

124

Quantifying, displaying and accounting for heterogeneity in the meta-analysis of RCTs using standard and generalised Q statistics  

E-Print Network (OSTI)

, but is arguably due in some degree to a loss of power resulting from splitting the data. The main effect was however a clear reduction in the amount of funnel plot asymmetry (Egger’s regression p-value 0.38) and consequently much better agreement between fixed... variance estimation for meta- analysis. J Royal Statistical Soc Series C 2005, 54:367-384. 28. Huedo-Medina T, Sanchez-Meca J, Marin-Martinez F, Botella J: Assessing Heterogeneity in Meta-Analysis: Q Statistic or I2 Index? Psychological Methods 2006, 11...

Bowden, Jack; Tierney, Jayne F; Copas, Andrew J; Burdett, Sarah

2011-04-07T23:59:59.000Z

125

THE SLOAN DIGITAL SKY SURVEY DATA RELEASE 7 SPECTROSCOPIC M DWARF CATALOG. II. STATISTICAL PARALLAX ANALYSIS  

Science Conference Proceedings (OSTI)

We present a statistical parallax analysis of low-mass dwarfs from the Sloan Digital Sky Survey. We calculate absolute r-band magnitudes (M{sub r} ) as a function of color and spectral type and investigate changes in M{sub r} with location in the Milky Way. We find that magnetically active M dwarfs are intrinsically brighter in M{sub r} than their inactive counterparts at the same color or spectral type. Metallicity, as traced by the proxy {zeta}, also affects M{sub r} , with metal-poor stars having fainter absolute magnitudes than higher metallicity M dwarfs at the same color or spectral type. Additionally, we measure the velocity ellipsoid and solar reflex motion for each subsample of M dwarfs. We find good agreement between our measured solar peculiar motion and previous results for similar populations, as well as some evidence for differing motions of early and late M-type populations in U and W velocities that cannot be attributed to asymmetric drift. The reflex solar motion and the velocity dispersions both show that younger populations, as traced by magnetic activity and location near the Galactic plane, have experienced less dynamical heating. We introduce a new parameter, the independent position altitude (IPA), to investigate populations as a function of vertical height from the Galactic plane. M dwarfs at all types exhibit an increase in velocity dispersion when analyzed in comparable IPA subgroups.

Bochanski, John J. [Astronomy and Astrophysics Department, Pennsylvania State University, 525 Davey Laboratory, University Park, PA 16802 (United States); Hawley, Suzanne L. [Astronomy Department, University of Washington, Box 351580, Seattle, WA 98195 (United States); West, Andrew A., E-mail: jjb29@psu.edu [Department of Astronomy, Boston University, 725 Commonwealth Avenue, Boston, MA 02215 (United States)

2011-03-15T23:59:59.000Z

126

Statistical Analysis of Baseline Load Models for Non-Residential Buildings  

SciTech Connect

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

127

Statistical analysis of what drives industrial energy demand: Volume III of the PURHAPS model documentation  

Science Conference Proceedings (OSTI)

The overall price of energy has far less direct effect on industrial demand than conventional models, such as the Jorgenson translog model, have indicated. Much of what appears to be conservation in recent years can be explained as the result of structural changes (e.g., less steel production), electrification, and a slowdown in the long-term trend towards more use of energy relative to other factors of production. This report documents these findings and the other findings from the statistical analysis used in developing the PURchased Heat And Power System, as used in producing the 1982 Annual Energy Outlook forecasts. This report is intended partly to convey these findings to substantive energy experts and energy policy analysts; it is also intended to fulfill EIA requirements for model documentation. Volume I of this series documents the full mathematical specification of the model, including accounting identites and benchmarks; Volume II documents the data used both in the estimation and in the model. Appendix B of this report provides a purely historical breakdown of actual changes in oil and electricity use from 1974 to 1981, showing what changes are due to general economic growth, improved general productivity, etc. preliminary work for the 1983 Annual Energy Outlook is discussed in general terms.

Werbos, P.J.

1983-12-01T23:59:59.000Z

128

Statistical and systematic errors for gravitational-wave inspiral signals: A principal component analysis  

E-Print Network (OSTI)

Identifying the source parameters from a gravitational-wave measurement alone is limited by our ability to discriminate signals from different sources and the accuracy of the waveform family employed in the search. Here we address both issues in the framework of an adapted coordinate system that allows for linear Fisher-matrix type calculations of waveform differences that are both accurate and computationally very efficient. We investigate statistical errors by using principal component analysis of the post-Newtonian (PN) expansion coefficients, which is well conditioned despite the Fisher matrix becoming ill conditioned for larger numbers of parameters. We identify which combinations of physical parameters are most effectively measured by gravitational-wave detectors for systems of neutron stars and black holes with aligned spin. We confirm the expectation that the dominant parameter of the inspiral waveform is the chirp mass. The next dominant parameter depends on a combination of the spin and the symmetric mass ratio. In addition, we can study the systematic effect of various spin contributions to the PN phasing within the same parametrization, showing that the inclusion of spin-orbit corrections up to next-to-leading order, but not necessarily of spin-spin contributions, is crucial for an accurate inspiral waveform model. This understanding of the waveform structure throughout the parameter space is important to set up an efficient search strategy and correctly interpret future gravitational-wave observations.

Frank Ohme; Alex B. Nielsen; Drew Keppel; Andrew Lundgren

2013-04-25T23:59:59.000Z

129

Statistical Analysis of Sodium Doppler Wind–Temperature Lidar Measurements of Vertical Heat Flux  

Science Conference Proceedings (OSTI)

A statistical study is presented of the errors in sodium Doppler lidar measurements of wind and temperature in the mesosphere that arise from the statistics of the photon-counting process that is inherent in the technique. The authors use data ...

Liguo Su; Richard L. Collins; David A. Krueger; Chiao-Yao She

2008-03-01T23:59:59.000Z

130

Short note: An automated system for the statistical analysis of sediment texture and structure at the micro scale  

Science Conference Proceedings (OSTI)

A macro has been developed that allows for automated statistical analyses of particles. It can be used with binary images from any source, and is developed for use with lacustrine, marine, Aeolian, and marine sediments. The macro code is freely available, ... Keywords: Image analysis, ImageJ, Macro, Particle size, Sediment

Ted Lewis; Pierre Francus; Raymond S. Bradley; Kinuyo Kanamaru

2010-10-01T23:59:59.000Z

131

Statistical Relationships between Topography and Precipitation Patterns  

Science Conference Proceedings (OSTI)

Statistical relationships between topography and the spatial distribution of mean annual precipitation are developed for ten distinct mountainous regions. These relationships are derived through linear bivariate and multivariate analyses, using ...

Alan Basist; Gerald D. Bell; Vernon Meentemeyer

1994-09-01T23:59:59.000Z

132

A review and statistical analysis of micellar-polymer field test data: Topical report  

SciTech Connect

A statistical analysis study has been made of 21 micellar-polymer field test projects to evaluate the significance of key parameters upon performance. In this study, the term micellar-polymer is used to describe surfactant recovery processes of which the most common are the water phase low tension and the soluble oil.The micellar slug is usually followed by a drive slug containing a polymer for mobility control. The data include 10 projects that were used in a previous study and 11 other documented projects which have been completed recently. The study indicates three significant correlations. The most important of these is the correlation showing that oil recovery is inversely related to the log of the reservoir connate water salinity. This suggests that prior flooding with a water near the design salinity or use of preflushes to adjust salinity and remove hardness have, at best, been only partially effective. Exxon was successful in their second Loudon pilot when using a specifically designed salt tolerant surfactant, with no preflush. The results of this study, coupled with the results of the Exxon second Loudon pilot, suggest that future research in micellar-polymer flooding should focus on the development of surfactants which can tolerate the connate water salinity and hardness in the reservoir. A second correlation showed that oil recovery increased as the pattern size was decreased. This is attributed to the higher frontal velocities and to the reduced tendency of slug breakdown in smaller patterns. Low oil cuts at the beginning of the micellar-polymer floods indicated that higher recovery efficiency could not be attributed to infill drilling. The third correlation showed the expected results that oil recovery is related to the quantity of surfactant used. This quantity is the product of the surfactant slug volume and the concentration of surfactant. 71 refs., 4 figs., 2 tabs.

Lowry, P.H.; Ferrell, H.H.; Dauben, D.L.

1986-11-01T23:59:59.000Z

133

Analysis of Financial News Impact on Stock Based on a Statistical Learning Method with News Density  

Science Conference Proceedings (OSTI)

Since the investors often react to news and consequently make stock prices move, financial news has an impact on stock prices. However, the price adjustment process is a complex one. In this paper, a statistical learning methodology has been proposed ...

Feng Wang; Xiaodong Li; Chenxiao Dou

2011-10-01T23:59:59.000Z

134

Feedbacks of Vegetation on Summertime Climate Variability over the North American Grasslands. Part I: Statistical Analysis  

Science Conference Proceedings (OSTI)

Feedbacks of vegetation on summertime climate variability over the North American Grasslands are analyzed using the statistical technique of Granger causality. Results indicate that normalized difference vegetation index (NDVI) anomalies early in ...

Weile Wang; Bruce T. Anderson; Nathan Phillips; Robert K. Kaufmann; Christopher Potter; Ranga B. Myneni

2006-09-01T23:59:59.000Z

135

Analysis of Data from the Barnett Shale with Conventional Statistical and Virtual Intelligence Techniques  

E-Print Network (OSTI)

Water production is a challenge in production operations because it is generally costly to produce, treat, and it can hamper hydrocarbon production. This is especially true for gas wells in unconventional reservoirs like shale because the relatively low gas rates increase the economic impact of water handling costs. Therefore, we have considered the following questions regarding water production from shale gas wells: (1) What is the effect of water production on gas production? (2) What are the different water producing mechanisms? and (3) What is the water production potential of a new well in a given gas shale province. The first question was answered by reviewing relevant literature, highlighting observed deficiencies in previous approaches, and making recommendations for future work. The second question was answered using a spreadsheet based Water-Gas-Ratio analysis tool while the third question was investigated by using artificial neural networks (ANN) to decipher the relationship between completion, fracturing, and water production data. We will consequently use the defined relationship to predict the average water production for a new well drilled in the Barnett Shale. This study also derived additional insight into the production trends in the Barnett shale using standard statistical methods. The following conclusions were reached at the end of the study: 1) The observation that water production does not have long term deleterious effect on gas production from fractured wells in tight gas sands cannot be directly extended to fractured wells in gas shales because the two reservoir types do not have analogous production mechanisms. 2) Based on average operating conditions of well in the Barnett Shale, liquid loading was found to be an important phenomenon; especially for vertical wells. 3) A neural network was successfully used to predict average water production potential from a well drilled in the Barnett shale. Similar methodology can be used to predict average gas production potential. Results from this work can be utilized to mitigate risk of water problems in new Barnett Shale wells and predict water issues in other shale plays. Engineers will be provided a tool to predict potential for water production in new wells.

Awoleke, Obadare O.

2009-12-01T23:59:59.000Z

136

Statistical analysis of magnetic field reversals in laboratory dynamo and in paleomagnetic measurements  

E-Print Network (OSTI)

Statistical properties of the temporal distribution of polarity reversals of the geomagnetic field are commonly assumed to be a realization of a renewal Poisson process with a variable rate. However, it has been recently shown that the polarity reversals strongly depart from a local Poisson statistics, because of temporal clustering. Such clustering arises from the presence of long-range correlations in the underlying dynamo process. Recently achieved laboratory dynamo also shows reversals. It is shown here that laboratory and paleomagnetic data are both characterized by the presence of long-range correlations.

Sorriso-Valvo, L; Bourgoin, M; Odier, P; Plihon, N; Volk, R

2010-01-01T23:59:59.000Z

137

Time varying, multivariate volume data reduction  

SciTech Connect

Large-scale supercomputing is revolutionizing the way science is conducted. A growing challenge, however, is understanding the massive quantities of data produced by large-scale simulations. The data, typically time-varying, multivariate, and volumetric, can occupy from hundreds of gigabytes to several terabytes of storage space. Transferring and processing volume data of such sizes is prohibitively expensive and resource intensive. Although it may not be possible to entirely alleviate these problems, data compression should be considered as part of a viable solution, especially when the primary means of data analysis is volume rendering. In this paper we present our study of multivariate compression, which exploits correlations among related variables, for volume rendering. Two configurations for multidimensional compression based on vector quantization are examined. We emphasize quality reconstruction and interactive rendering, which leads us to a solution using graphics hardware to perform on-the-fly decompression during rendering. In this paper we present a solution which addresses the need for data reduction in large supercomputing environments where data resulting from simulations occupies tremendous amounts of storage. Our solution employs a lossy encoding scheme to acrueve data reduction with several options in terms of rate-distortion behavior. We focus on encoding of multiple variables together, with optional compression in space and time. The compressed volumes can be rendered directly with commodity graphics cards at interactive frame rates and rendering quality similar to that of static volume renderers. Compression results using a multivariate time-varying data set indicate that encoding multiple variables results in acceptable performance in the case of spatial and temporal encoding as compared to independent compression of variables. The relative performance of spatial vs. temporal compression is data dependent, although temporal compression has the advantage of offering smooth animations, while spatial compression can handle volumes of larger dimensions.

Ahrens, James P [Los Alamos National Laboratory; Fout, Nathaniel [UC DAVIS; Ma, Kwan - Liu [UC DAVIS

2010-01-01T23:59:59.000Z

138

Non-extensive statistical analysis of seismicity in the area of Javakheti, Georgia  

Science Conference Proceedings (OSTI)

The distribution of earthquake magnitudes in the Javakheti highlands was analyzed using a non-extensive statistical approach. The earthquakes occurring from 1960 to 2008 in this seismically active area of Southern Caucasus were investigated. The seismic ... Keywords: Dynamics, Energy density characteristic, Modified frequency-magnitude relationship, Non-extensivity parameter, Seismicity, Time series

T. Matcharashvili; T. Chelidze; Z. Javakhishvili; N. Jorjiashvili; U. Fra Paleo

2011-10-01T23:59:59.000Z

139

Analysis of communication between RFID tags and their reader using statistical simulation model  

Science Conference Proceedings (OSTI)

RFID collision occurs when two or more tags attempt to send a frame of data along the same communication channel at the same time. Collision typically results in false alarm. In this paper the authors simulate the communication flow between tags ... Keywords: RFID collision, RFID reader, RFID tags, communication flow, exponential distribution, false alarms, radio frequency identification, statistical simulation modelling, tracking application

C. Parikh; I. Zeid; S. Kamarthi; J. Benneyan

2008-09-01T23:59:59.000Z

140

Impacts of different data averaging times on statistical analysis of distributed domestic photovoltaic systems  

Science Conference Proceedings (OSTI)

The trend of increasing application of distributed generation with solar photovoltaics (PV-DG) suggests that a widespread integration in existing low-voltage (LV) grids is possible in the future. With massive integration in LV grids, a major concern is the possible negative impacts of excess power injection from on-site generation. For power-flow simulations of such grid impacts, an important consideration is the time resolution of demand and generation data. This paper investigates the impact of time averaging on high-resolution data series of domestic electricity demand and PV-DG output and on voltages in a simulated LV grid. Effects of 10-minutely and hourly averaging on descriptive statistics and duration curves were determined. Although time averaging has a considerable impact on statistical properties of the demand in individual households, the impact is smaller on aggregate demand, already smoothed from random coincidence, and on PV-DG output. Consequently, the statistical distribution of simulated grid voltages was also robust against time averaging. The overall judgement is that statistical investigation of voltage variations in the presence of PV-DG does not require higher resolution than hourly. (author)

Widen, Joakim; Waeckelgaard, Ewa [Department of Engineering Sciences, The Aangstroem Laboratory, Uppsala University, P.O. Box 534, SE-751 21 Uppsala (Sweden); Paatero, Jukka; Lund, Peter [Advanced Energy Systems, Helsinki University of Technology, P.O. Box 2200, FI-02015 HUT (Finland)

2010-03-15T23:59:59.000Z

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

Adaptable Multivariate Calibration Models for Spectral Applications  

SciTech Connect

Multivariate calibration techniques have been used in a wide variety of spectroscopic situations. In many of these situations spectral variation can be partitioned into meaningful classes. For example, suppose that multiple spectra are obtained from each of a number of different objects wherein the level of the analyte of interest varies within each object over time. In such situations the total spectral variation observed across all measurements has two distinct general sources of variation: intra-object and inter-object. One might want to develop a global multivariate calibration model that predicts the analyte of interest accurately both within and across objects, including new objects not involved in developing the calibration model. However, this goal might be hard to realize if the inter-object spectral variation is complex and difficult to model. If the intra-object spectral variation is consistent across objects, an effective alternative approach might be to develop a generic intra-object model that can be adapted to each object separately. This paper contains recommendations for experimental protocols and data analysis in such situations. The approach is illustrated with an example involving the noninvasive measurement of glucose using near-infrared reflectance spectroscopy. Extensions to calibration maintenance and calibration transfer are discussed.

THOMAS,EDWARD V.

1999-12-20T23:59:59.000Z

142

Statistical Analysis Methodology for Predicting Impact of Operation Factors on Boiler Availability  

Science Conference Proceedings (OSTI)

As utilities strive to achieve higher reliability and lower operating and maintenance costs for their fossil-fired power plants, ever-changing operating conditions provide even greater challenges in meeting those objectives. This report summarizes an analytical methodology to quantify the cause-and-effect relationships that exist between operating conditions and boiler component reliability. The methodology is based on standard statistical correlations that are derived through application of commercially...

2001-12-11T23:59:59.000Z

143

Detection of multivariate outliers in business survey data with incomplete information  

Science Conference Proceedings (OSTI)

Many different methods for statistical data editing can be found in the literature but only few of them are based on robust estimates (for example such as BACON-EEM, epidemic algorithms (EA) and transformed rank correlation (TRC) methods of Béguin ... Keywords: 62D05, 62G35, 62H99, Missing values, Multivariate outlier detection, Robust statistics

Valentin Todorov; Matthias Templ; Peter Filzmoser

2011-04-01T23:59:59.000Z

144

A statistical analysis of structural differences in minority household electricity demand  

SciTech Connect

In this paper, the structures for electricity demand in non-Latino Black and White households are compared. Electricity demand will be analyzed within the context of a complete demand system, and statistical tests for structural differences will be systematically conducted in the hope of pinpointing the location of differences within the context of this model. Structural differences in demand are defined as statistically significant differences in a parameter or group of parameters that identify the quantitative relationship between explanatory variables and electricity consumption. Along with population taste differences, which might emanate from historical and cultural population differences, structural differences might also occur because of differences in housing and geographic patterns and as a result of differences in access to markets and information. As a consequence, energy consumption decisions will differ, and the level and composition of energy consumption are likely to vary. In practice, it is nearly impossible to untangle the causes contributing to structural differences, but it is reasonably easy to test for statistical differences. The superficial evidence indicates there is a strong likelihood that structural differences do exist in electricity demand between White and Black households. The null hypothesis, which states that there exist no differences in the structures for electricity demand for Black and White households, is tested.

Poyer, D.A.; Earl, E.

1994-09-01T23:59:59.000Z

145

DeCompactionTool: Software for subsidence analysis including statistical error quantification  

Science Conference Proceedings (OSTI)

Subsidence analysis based on decompaction of the sedimentary record is a standard method for reconstructing the evolution of sedimentary basins. For such an analysis, data on strata thickness, lithology, age constraints, lithological properties, porosity, ... Keywords: Basin analysis, Error quantification, Monte Carlo simulation, Subsidence, Vienna Basin

Monika Hölzel; Robert Faber; Michael Wagreich

2008-11-01T23:59:59.000Z

146

Big data visual analytics for exploratory earth system simulation analysis  

Science Conference Proceedings (OSTI)

Rapid increases in high performance computing are feeding the development of larger and more complex data sets in climate research, which sets the stage for so-called ''big data'' analysis challenges. However, conventional climate analysis techniques ... Keywords: Big data, Climate, Data intensive computing, Data mining, Multivariate, Parallel coordinates, Sensitivity analysis, Statistical visualization, Visualization

Chad A. Steed, Daniel M. Ricciuto, Galen Shipman, Brian Smith, Peter E. Thornton, Dali Wang, Xiaoying Shi, Dean N. Williams

2013-12-01T23:59:59.000Z

147

Reproducibility of Interfraction Lung Motion Probability Distribution Function Using Dynamic MRI: Statistical Analysis  

SciTech Connect

Purpose: To investigate the statistical reproducibility of craniocaudal probability distribution function (PDF) of interfraction lung motion using dynamic magnetic resonance imaging. Methods and Materials: A total of 17 subjects, 9 healthy volunteers and 8 lung tumor patients, underwent two to three continuous 300-s magnetic resonance imaging scans in the sagittal plane, repeated 2 weeks apart. Three pulmonary vessels from different lung regions (upper, middle, and lower) in the healthy subjects and lung tumor patients were selected for tracking, and the displacement PDF reproducibility was evaluated as a function of scan time and frame rate. Results: For both healthy subjects and patients, the PDF reproducibility improved with increased scan time and converged to an equilibrium state during the 300-s scan. The PDF reproducibility at 300 s (mean, 0.86; range, 0.70-0.96) were significantly (p < 0.001) increased compared with those at 5 s (mean, 0.65; range, 0.25-0.79). PDF reproducibility showed less sensitivity to imaging frame rates that were >2 frames/s. Conclusion: A statistically significant improvement in PDF reproducibility was observed with a prolonged scan time among the 17 participants. The confirmation of PDF reproducibility over times much shorter than stereotactic body radiotherapy delivery duration is a vital part of the initial validation process of probability-based treatment planning for stereotactic body radiotherapy for lung cancer.

Cai Jing; Read, Paul W.; Larner, James M. [Department of Radiation Oncology, University of Virginia, Charlottesville, VA (United States); Jones, David R. [Department of Surgery, University of Virginia, Charlottesville, VA (United States); Benedict, Stanley H. [Department of Radiation Oncology, University of Virginia, Charlottesville, VA (United States); Sheng Ke [Department of Radiation Oncology, University of Virginia, Charlottesville, VA (United States)], E-mail: ks2mc@virginia.edu

2008-11-15T23:59:59.000Z

148

EPA/NMED/LANL 1998 water quality results: Statistical analysis and comparison to regulatory standards  

SciTech Connect

Four governmental agencies conducted a round of groundwater, surface water, and spring water sampling at the Los Alamos National Laboratory during 1998. Samples were split among the four parties and sent to independent analytical laboratories. Results from three of the agencies were available for this study. Comparisons of analytical results that were paired by location and date were made between the various analytical laboratories. The results for over 50 split samples analyzed for inorganic chemicals, metals, and radionuclides were compared. Statistical analyses included non-parametric (sign test and signed-ranks test) and parametric (paired t-test and linear regression) methods. The data pairs were tested for statistically significant differences, defined by an observed significance level, or p-value, less than 0.05. The main conclusion is that the laboratories' performances are similar across most of the analytes that were measured. In some 95% of the laboratory measurements there was agreement on whether contaminant levels exceeded regulatory limits. The most significant differences in performance were noted for the radioactive suite, particularly for gross alpha particle activity and Sr-90.

B. Gallaher; T. Mercier; P. Black; K. Mullen

2000-02-01T23:59:59.000Z

149

Improved Multivariate Calibration Models for Corn Stover Feedstock and Dilute-Acid Pretreated Corn Stover  

Science Conference Proceedings (OSTI)

We have studied rapid calibration models to predict the composition of a variety of biomass feedstocks by correlating near-infrared (NIR) spectroscopic data to compositional data produced using traditional wet chemical analysis techniques. The rapid calibration models are developed using multivariate statistical analysis of the spectroscopic and wet chemical data. This work discusses the latest versions of the NIR calibration models for corn stover feedstock and dilute-acid pretreated corn stover. Measures of the calibration precision and uncertainty are presented. No statistically significant differences (p = 0.05) are seen between NIR calibration models built using different mathematical pretreatments. Finally, two common algorithms for building NIR calibration models are compared; no statistically significant differences (p = 0.05) are seen for the major constituents glucan, xylan, and lignin, but the algorithms did produce different predictions for total extractives. A single calibration model combining the corn stover feedstock and dilute-acid pretreated corn stover samples gave less satisfactory predictions than the separate models.

Wolfrum, E. J.; Sluiter, A. D.

2009-01-01T23:59:59.000Z

150

Guidelines for Instrument Calibration Extension/Reduction -- Revision 1: Statistical Analysis of Instrument Calibration Data  

Science Conference Proceedings (OSTI)

Calibration reduction or fuel cycle extension efforts require an analysis of plant-specific instrument performance to demonstrate that the longer calibration interval will not result in larger than expected drift. This manual provides a methodology and guidelines for evaluating historical calibration data, and addresses technical issues associated with the application of the analysis results.

1998-10-30T23:59:59.000Z

151

Cluster Statistics  

NLE Websites -- All DOE Office Websites (Extended Search)

Statistics Cluster Statistics Genepool Cluster Utilization Genepool Usage by Group Process Accounting Data (houseHunter) Genepool Memory Heatmaps Genepool Time Heatmaps UGE...

152

Investigating Student Understanding for a Statistical Analysis of Two Thermally Interacting Solids  

Science Conference Proceedings (OSTI)

As part of an ongoing research and curriculum development project for upper-division courses in thermal physics, we have developed a sequence of tutorials in which students apply statistical methods to examine the behavior of two interacting Einstein solids. In the sequence, students begin with simple results from probability and develop a means for counting the states in a single Einstein solid. The students then consider the thermal interaction of two solids, and observe that the classical equilibrium state corresponds to the most probable distribution of energy between the two solids. As part of the development of the tutorial sequence, we have developed several assessment questions to probe student understanding of various aspects of this system. In this paper, we describe the strengths and weaknesses of student reasoning, both qualitative and quantitative, to assess the readiness of students for one tutorial in the sequence.

Loverude, Michael E. [Department of Physics, California State University Fullerton, Fullerton, CA 92834 (United States)

2010-10-24T23:59:59.000Z

153

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

SciTech Connect

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

154

Optimal Analysis of In Situ Data in the Western Mediterranean Using Statistics and Cross-Validation  

Science Conference Proceedings (OSTI)

To study the Mediterranean general circulation, there is a constant need for reliable interpretations of available hydrological observations. Optimal data analyses (in the probabilistic point of view of objective analysis) are fulfilled using an ...

Jean-Michel Brankart; Pierre Brasseur

1996-04-01T23:59:59.000Z

155

Climatology-Calibrated Precipitation Analysis at Fine Scales: Statistical Adjustment of Stage IV towards CPC Gauge Based Analysis  

Science Conference Proceedings (OSTI)

Two widely used precipitation analyses are the CPC Unified Global Daily Gauge Analysis and Stage IV analysis based on quantitative precipitation estimate with multi-sensor observations. The Former is based on gauge records with a uniform quality ...

Dingchen Hou; Mike Charles; Yan Luo; Zoltan Toth; Yuejian Zhu; Roman Krzysztofowicz; Ying Lin; Pingping Xie; Dong-Jun Seo; Malaquias Pena; Bo Cui

156

Organizational Epidemiology and Energy Facilities: Statistical Techniques for Empirical Analysis and Prediction of Human Performance Trends  

Science Conference Proceedings (OSTI)

This report describes an empirical study of the prediction of human performance and energy facility performance based on analysis of historical data relating to worker-, workplace-, management-, and organization-centered factors. Findings verify the relationship between antecedent conditions of human performance and facility productivity, reliability, and safety.

2002-07-23T23:59:59.000Z

157

Rainfall Regime of a Mountainous Mediterranean Region: Statistical Analysis at Short Time Steps  

Science Conference Proceedings (OSTI)

This paper presents an analysis of the rainfall regime of a Mediterranean mountainous region of southeastern France. The rainfall regime is studied on temporal scales from hourly to yearly using daily and hourly rain gauge data of 43 and 16 years, ...

Gilles Molinié; Davide Ceresetti; Sandrine Anquetin; Jean Dominique Creutin; Brice Boudevillain

2012-03-01T23:59:59.000Z

158

Rail transportation risk and accident severity: A statistical analysis of variables in FRA's accident/incident data base  

Science Conference Proceedings (OSTI)

The Federal Railroad Administration (US DOT) maintains a file of carrier-reported railroad accidents and incidents that meet stipulated threshold criteria for damage cost and/or casualties. A thoroughly-cleaned five-year time series of this data base was subjected to unbiased statistical procedures to discover (a) important causative variables in severe (high damage cost) accidents and (b) other key relationships between objective accident conditions and frequencies. Just under 6000 records, each representing a single event involving rail freight shipments moving on mainline track, were subjected to statistical frequency analysis, then included in the construction of classification and regression trees as described by Breimann et al. (1984). Variables related to damage cost defined the initial splits,'' or branchings of the tree. An interesting implication of the results of this analysis with respect to transportation of hazardous wastes by rail is that movements should be avoided when ambient temperatures are extreme (significantly 80{degrees}F), but that there should be no a priori bias against shipping wastes in longer train consists. 2 refs., 2 figs., 12 tabs.

Saricks, C.L. (Argonne National Lab., IL (USA). Energy Systems Div.); Janssen, I. (Argonne National Lab., IL (USA). Biological and Medical Research Div.)

1991-01-01T23:59:59.000Z

159

High Statistics Analysis using Anisotropic Clover Lattices: (I) Single Hadron Correlation Functions  

SciTech Connect

We present the results of high-statistics calculations of correlation functions generated with single-baryon interpolating operators on an ensemble of dynamical anisotropic gauge-field configurations generated by the Hadron Spectrum Collaboration using a tadpole-improved clover fermion action and Symanzik-improved gauge action. A total of 292, 500 sets of measurements are made using 1194 gauge configurations of size 20{sup 3} x 128 with an anisotropy parameter {zeta} = b{sub s}/b{sub t} = 3.5, a spatial lattice spacing of b{sub s} = 0.1227 {+-} 0.0008 fm, and pion mass of M{sub {pi}} {approx} 390 MeV. Ground state baryons masses are extracted with fully quantified uncertainties that are at or below the {approx} 0.2%-level in lattice units. The lowest-lying negative-parity states are also extracted albeit with a somewhat lower level of precision. In the case of the nucleon, this negative-parity state is above the N{pi} threshold and, therefore, the isospin-1/2 {pi}N s-wave scattering phase-shift can be extracted using Luescher's method. The disconnected contributions to this process are included indirectly in the gauge-field configurations and do not require additional calculations. The signal-to-noise ratio in the various correlation functions is explored and is found to degrade exponentially faster than naive expectations on many time-slices. This is due to backward propagating states arising from the anti-periodic boundary conditions imposed on the quark-propagators in the time-direction. We explore how best to distribute computational resources between configuration generation and propagator measurements in order to optimize the extraction of single baryon observables.

Beane, S; Detmold, W; Luu, T; Orginos, K; Parreno, A; Savage, M; Torok, A; Walker-Loud, A

2009-03-23T23:59:59.000Z

160

A multivariable predictive fuzzy PID control system  

Science Conference Proceedings (OSTI)

In this paper, a novel multivariable predictive fuzzy-proportional-integral-derivative (F-PID) control system is developed by incorporating the fuzzy and PID control approaches into the predictive control framework. The developed control system has two ... Keywords: BPTT, Control, Fuzzy, LM, Multivariable, PID, Predictive

Aydogan Savran

2013-05-01T23:59:59.000Z

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161

A Statistical Analysis on Operation Scheduling for an Energy Network Project  

Science Conference Proceedings (OSTI)

Distributed power generation, using renewable energy, has been attracting attention to cope with global environment issues; a microgrid is a promising configuration for distributed power generation. To augment the stability and efficiency of the microgrid, ... Keywords: Schedules,Power generation,Electricity,Optimization,Fuel cells,Vectors,Batteries,operation scheduling,Schedules,Power generation,Electricity,Optimization,Fuel cells,Vectors,Batteries,principal component analysis.,Smart grid,microgrid,energy network

Yoshihiro Sugaya; Shinichiro Omachi; Akira Takeuchi; Yousuke Nozaki

2012-09-01T23:59:59.000Z

162

Statistical Analysis of Historical State-Level Residential Energy Consumption Trends  

SciTech Connect

Developing an accurate picture of the major trends in energy consumption in the nation’s stock of residential buildings can serve a variety of national and regional program planning and policy needs related to energy use. This paper employs regression analysis and uses the PRISM (Princeton Scorekeeping Method) approach with historical data to provide some insight into overall changes in the thermal integrity of the residential building stock by state. Although national energy use intensity estimates exist in aggregate, these numbers shed little light on what drives building consumption, as opposing influences are hidden within the measurement (e.g., more appliances that increase energy use while shell improvements reduce it). This study addresses this issue by estimating changes in the reference temperatures that best characterize the existing residential building stock on a state basis. Improvements in building thermal integrity are reflected by declines in the heating reference temperature, holding other factors constant. Heating and cooling-day estimates to various reference temperatures were computed from monthly average temperature data for approximately 350 climatic divisions in the U.S. A simple cross-sectional analysis is employed to try to explain the differential impacts across states. Among other factors, this analysis considers the impact that the relative growth in the number of residential buildings and the stringency of building energy codes has had on residential building energy use. This paper describes the methodology used, presents results, and suggests directions for future research.

Belzer, David B.; Cort, Katherine A.

2004-08-01T23:59:59.000Z

163

High Statistics Analysis using Anisotropic Clover Lattices: (II) Three-Baryon Systems  

E-Print Network (OSTI)

We present the results of an exploratory Lattice QCD calculation of three-baryon systems through a high-statistics study of one ensemble of anisotropic clover gauge-field configurations with a pion mass of m_\\pi ~ 390 MeV. Because of the computational cost of the necessary contractions, we focus on correlation functions generated by interpolating-operators with the quantum numbers of the $\\Xi^0\\Xi^0 n$ system, one of the least demanding three baryon systems in terms of the number of contractions. We find that the ground state of this system has an energy of E_{\\Xi^0\\Xi^0n}= 3877.9\\pm 6.9\\pm 9.2\\pm3.3 MeV corresponding to an energy-shift due to interactions of \\delta E_{\\Xi^0\\Xi^0n}=E_{\\Xi^0\\Xi^0n}-2M_{\\Xi^0} -M_n=4.6\\pm 5.0\\pm 7.9\\pm 4.2 MeV. There are a significant number of time-slices in the three-baryon correlation function for which the signal-to-noise ratio is only slowly degrading with time. This is in contrast to the exponential degradation of the signal-to-noise ratio that is observed at larger times, and is due to the suppressed overlap of the source and sink interpolating-operators that are associated with the variance of the three-baryon correlation function onto the lightest eigenstates in the lattice volume (mesonic systems). As one of the motivations for this area of exploration is the calculation of the structure and reactions of light nuclei, we also present initial results for a system with the quantum numbers of the triton (pnn). This present work establishes a path to multi-baryon systems, and shows that Lattice QCD calculations of the properties and interactions of systems containing four and five baryons are now within sight.

Silas R. Beane; William Detmold; Thomas C Luu; Kostas Orginos; Assumpta Parreno; Martin J. Savage; Aaron Torok; Andre Walker-Loud

2009-05-04T23:59:59.000Z

164

Statistical analysis of liquid seepage in partially saturated heterogeneous fracture systems  

Science Conference Proceedings (OSTI)

Field evidence suggests that water flow in unsaturated fracture systems may occur along fast preferential flow paths. However, conventional macroscale continuum approaches generally predict the downward migration of water as a spatially uniform wetting front subjected to strong inhibition into the partially saturated rock matrix. One possible cause of this discrepancy may be the spatially random geometry of the fracture surfaces, and hence, the irregular fracture aperture. Therefore, a numerical model was developed in this study to investigate the effects of geometric features of natural rock fractures on liquid seepage and solute transport in 2-D planar fractures under isothermal, partially saturated conditions. The fractures were conceptualized as 2-D heterogeneous porous media that are characterized by their spatially correlated permeability fields. A statistical simulator, which uses a simulated annealing (SA) algorithm, was employed to generate synthetic permeability fields. Hypothesized geometric features that are expected to be relevant for seepage behavior, such as spatially correlated asperity contacts, were considered in the SA algorithm. Most importantly, a new perturbation mechanism for SA was developed in order to consider specifically the spatial correlation near conditioning asperity contacts. Numerical simulations of fluid flow and solute transport were then performed in these synthetic fractures by the flow simulator TOUGH2, assuming that the effects of matrix permeability, gas phase pressure, capillary/permeability hysteresis, and molecular diffusion can be neglected. Results of flow simulation showed that liquid seepage in partially saturated fractures is characterized by localized preferential flow, along with bypassing, funneling, and localized ponding. Seepage pattern is dominated by the fraction of asperity contracts, and their shape, size, and spatial correlation. However, the correlation structure of permeability field is less important than the spatial correlation of asperity contacts. A faster breakthrough was observed in fractures subjected to higher normal stress, accompanied with a nonlinearly decreasing trend of the effective permeability. Interestingly, seepage dispersion is generally higher in fractures with intermediate fraction of asperity contacts; but it is lower for small or large fractions of asperity contacts. However, it may become higher if the ponding becomes significant. Transport simulations indicate that tracers bypass dead-end pores and travel along flow paths that have less flow resistance. Accordingly, tracer breakthrough curves generally show more spreading than breakthrough curves for water. Further analyses suggest that the log-normal time model generally fails to fit the breakthrough curves for water, but it is a good approximation for breakthrough curves for the tracer.

Liou, T.S.

1999-12-01T23:59:59.000Z

165

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

SciTech Connect

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

166

Statistical Analysis and Dynamic Visualization of Travis Peak Production in the Eastern Texas Basin  

E-Print Network (OSTI)

Gas production has increased exponentially over the last 30 years, which is in response to the increasing demand for natural gas. This trend is speculated to continue to increase as legislation continues to be passed requiring power plants to reduce nitrogen oxide emissions. This recently happened in Colorado according to the Washington Post, giving more consideration to using natural gas. As natural gas becomes more popular there is a need to understand the production patterns and observable trends, integrating data from various sources. This research will attempt to do just that for wells producing from the Travis Peak formation. Using data from HPDI L.L.C., (www.hpdi.com) a visual representation was created for the areal distribution of peak gas rates and cumulative gas production. This allowed us to categorize wells by their production performance and we found that areas with relatively high peak gas rates also had high cumulative gas production. An analysis of these wells was done by completion year, and we found that wellhead prices of natural gas strongly influenced the annual number of new wells. We also found that the distribution of the annual number of new wells affected the average annual initial production rate and the peak gas rate of new wells. Wells located in areas of poor production performance were analyzed and it was apparent that newer wells performed relatively better than older ones and well stimulation is a major requirement for better gas production. Wells located in areas of good production performance were also analyzed and we found that the distribution of newer wells to older ones influenced the relative performance of individual wells. Overall, there was no observable trend between production variables in Travis Peak. No trend in production variable was found to be exclusively associated with good performing wells or poor performing wells.

Ayanbule, Babafemi O.

2010-08-01T23:59:59.000Z

167

Statistical Considerations for Climate Experiments. Part I: Scalar Tests  

Science Conference Proceedings (OSTI)

Statistical tests used in model intercomparisons or model/climate comparisons may be either “scalar” or “multivariate” tests. The former are employed when testing a hypothesis about a single variable observed at a single location, or through a ...

F. W. Zwiers; H. J. Thiébaux

1987-04-01T23:59:59.000Z

168

The Design of Multivariate Field Programs  

Science Conference Proceedings (OSTI)

Development of a methodology for the optimal placement of multivariate sensors as an aid in the design of geophysical field experiments is shown. The optimal placement methodology relies on spatial correlation estimates, interpolation error ...

Kenneth W. Johnson

1988-04-01T23:59:59.000Z

169

Statistical Considerations  

U.S. Energy Information Administration (EIA)

Ap pen dix F Statistical Considerations Survey Methodology The Form EIA-23 survey is designed to provide reliable estimates for reserves and production of crude oil,

170

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

Science Conference Proceedings (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

171

A statistical analysis of systematic errors in temperature and ram velocity estimates from satellite-borne retarding potential analyzers  

SciTech Connect

The use of biased grids as energy filters for charged particles is common in satellite-borne instruments such as a planar retarding potential analyzer (RPA). Planar RPAs are currently flown on missions such as the Communications/Navigation Outage Forecast System and the Defense Meteorological Satellites Program to obtain estimates of geophysical parameters including ion velocity and temperature. It has been shown previously that the use of biased grids in such instruments creates a nonuniform potential in the grid plane, which leads to inherent errors in the inferred parameters. A simulation of ion interactions with various configurations of biased grids has been developed using a commercial finite-element analysis software package. Using a statistical approach, the simulation calculates collected flux from Maxwellian ion distributions with three-dimensional drift relative to the instrument. Perturbations in the performance of flight instrumentation relative to expectations from the idealized RPA flux equation are discussed. Both single grid and dual-grid systems are modeled to investigate design considerations. Relative errors in the inferred parameters for each geometry are characterized as functions of ion temperature and drift velocity.

Klenzing, J. H.; Earle, G. D.; Heelis, R. A.; Coley, W. R. [William B. Hanson Center for Space Sciences, University of Texas at Dallas, 800 W. Campbell Rd. WT15, Richardson, Texas 75080 (United States)

2009-05-15T23:59:59.000Z

172

Discovery of metabolite features for the modelling and analysis of high-resolution NMR spectra  

Science Conference Proceedings (OSTI)

This study presents three feature selection methods for identifying the metabolite features in nuclear magnetic resonance spectra that contribute to the distinction of samples among varying nutritional conditions. Principal component analysis, Fisher ... Keywords: NMR spectra, OSC, bioinformatics, classification, data mining, feature selection, metabolite features, metabolomics, multivariate statistical analysis, nuclear magnetic resonance, orthogonal signal correction

Hyun-Woo Cho; Seoung Bum Kim; Myong K. Jeong; Youngja Park; Nana Gletsu Miller; Thomas R. Ziegler; Dean P. Jones

2008-06-01T23:59:59.000Z

173

ibr: Iterative bias reduction multivariate smoothing  

SciTech Connect

Regression is a fundamental data analysis tool for relating a univariate response variable Y to a multivariate predictor X {element_of} E R{sup d} from the observations (X{sub i}, Y{sub i}), i = 1,...,n. Traditional nonparametric regression use the assumption that the regression function varies smoothly in the independent variable x to locally estimate the conditional expectation m(x) = E[Y|X = x]. The resulting vector of predicted values {cflx Y}{sub i} at the observed covariates X{sub i} is called a regression smoother, or simply a smoother, because the predicted values {cflx Y}{sub i} are less variable than the original observations Y{sub i}. Linear smoothers are linear in the response variable Y and are operationally written as {cflx m} = X{sub {lambda}}Y, where S{sub {lambda}} is a n x n smoothing matrix. The smoothing matrix S{sub {lambda}} typically depends on a tuning parameter which we denote by {lambda}, and that governs the tradeoff between the smoothness of the estimate and the goodness-of-fit of the smoother to the data by controlling the effective size of the local neighborhood over which the responses are averaged. We parameterize the smoothing matrix such that large values of {lambda} are associated to smoothers that averages over larger neighborhood and produce very smooth curves, while small {lambda} are associated to smoothers that average over smaller neighborhood to produce a more wiggly curve that wants to interpolate the data. The parameter {lambda} is the bandwidth for kernel smoother, the span size for running-mean smoother, bin smoother, and the penalty factor {lambda} for spline smoother.

Hengartner, Nicholas W [Los Alamos National Laboratory; Cornillon, Pierre-andre [AGRO-SUP, FRANCE; Matzner - Lober, Eric [RENNES 2, FRANCE

2009-01-01T23:59:59.000Z

174

Extracting bb Higgs Decay Signals using Multivariate Techniques  

Science Conference Proceedings (OSTI)

For low-mass Higgs boson production at ATLAS at {radical}s = 7 TeV, the hard subprocess gg {yields} h{sup 0} {yields} b{bar b} dominates but is in turn drowned out by background. We seek to exploit the intrinsic few-MeV mass width of the Higgs boson to observe it above the background in b{bar b}-dijet mass plots. The mass resolution of existing mass-reconstruction algorithms is insufficient for this purpose due to jet combinatorics, that is, the algorithms cannot identify every jet that results from b{bar b} Higgs decay. We combine these algorithms using the neural net (NN) and boosted regression tree (BDT) multivariate methods in attempt to improve the mass resolution. Events involving gg {yields} h{sup 0} {yields} b{bar b} are generated using Monte Carlo methods with Pythia and then the Toolkit for Multivariate Analysis (TMVA) is used to train and test NNs and BDTs. For a 120 GeV Standard Model Higgs boson, the m{sub h{sup 0}}-reconstruction width is reduced from 8.6 to 6.5 GeV. Most importantly, however, the methods used here allow for more advanced m{sub h{sup 0}}-reconstructions to be created in the future using multivariate methods.

Smith, W Clarke; /George Washington U. /SLAC

2012-08-28T23:59:59.000Z

175

Computational performance optimisation for statistical analysis of the effect of nano-CMOS variability on integrated circuits  

Science Conference Proceedings (OSTI)

The intrinsic variability of nanoscale VLSI technology must be taken into account when analyzing circuit designs to predict likely yield. Monte-Carlo- (MC-) and quasi-MC- (QMC-) based statistical techniques do this by analysing many randomised or quasirandomised ...

Zheng Xie, Doug Edwards

2013-01-01T23:59:59.000Z

176

Statistical Analysis of Precipitation Chemistry Measurements over the Eastern United States. Part IV: The Influences of Meteorological Factors  

Science Conference Proceedings (OSTI)

The influences of meteorological factors on precipitation acidity and constituent concentrations were investigated statistically using selected portions of a new archive of daily precipitation chemistry measurements for the eastern United States. ...

C. Maxwell; B. P. Eynon; R. M. Endlich

1988-12-01T23:59:59.000Z

177

Multivariate lag-windows and group representations  

Science Conference Proceedings (OSTI)

Symmetries of the auto-cumulant function (a generalization of the auto-covariance function) of a kth-order stationary time series are derived through a connection with the symmetric group of degree k. Using the theory of group representations, symmetries ... Keywords: 20C30, 37M10, Group representations, Higher-order spectra, Multivariate lag-windows, Symmetry group

Arthur Berg

2008-11-01T23:59:59.000Z

178

JGI - Statistics  

NLE Websites -- All DOE Office Websites (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%

179

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

DOE Green Energy (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

180

Statistically based uncertainty analysis for ranking of component importance in the thermal-hydraulic safety analysis of the Advanced Neutron Source Reactor  

SciTech Connect

The Analytic Hierarchy Process (AHP) has been used to help determine the importance of components and phenomena in thermal-hydraulic safety analyses of nuclear reactors. The AHP results are based, in part on expert opinion. Therefore, it is prudent to evaluate the uncertainty of the AHP ranks of importance. Prior applications have addressed uncertainty with experimental data comparisons and bounding sensitivity calculations. These methods work well when a sufficient experimental data base exists to justify the comparisons. However, in the case of limited or no experimental data the size of the uncertainty is normally made conservatively large. Accordingly, the author has taken another approach, that of performing a statistically based uncertainty analysis. The new work is based on prior evaluations of the importance of components and phenomena in the thermal-hydraulic safety analysis of the Advanced Neutron Source Reactor (ANSR), a new facility now in the design phase. The uncertainty during large break loss of coolant, and decay heat removal scenarios is estimated by assigning a probability distribution function (pdf) to the potential error in the initial expert estimates of pair-wise importance between the components. Using a Monte Carlo sampling technique, the error pdfs are propagated through the AHP software solutions to determine a pdf of uncertainty in the system wide importance of each component. To enhance the generality of the results, study of one other problem having different number of elements is reported, as are the effects of a larger assumed pdf error in the expert ranks. Validation of the Monte Carlo sample size and repeatability are also documented.

Wilson, G.E.

1992-01-01T23:59:59.000Z

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.


181

Intelligent ICA-SVM fault detector for non-Gaussian multivariate process monitoring  

Science Conference Proceedings (OSTI)

Recently, the independent component analysis (ICA) has been widely used for multivariate non-Gaussian process monitoring. For principal component analysis (PCA) based monitoring method, the control limit can be determined by a specific distribution (F ... Keywords: Autocorrelated, Fault detector, ICA, PCA, SVM

Chun-Chin Hsu; Mu-Chen Chen; Long-Sheng Chen

2010-04-01T23:59:59.000Z

182

Multivariate Calibration Models for Sorghum Composition using Near-Infrared Spectroscopy  

DOE Green Energy (OSTI)

NREL developed calibration models based on near-infrared (NIR) spectroscopy coupled with multivariate statistics to predict compositional properties relevant to cellulosic biofuels production for a variety of sorghum cultivars. A robust calibration population was developed in an iterative fashion. The quality of models developed using the same sample geometry on two different types of NIR spectrometers and two different sample geometries on the same spectrometer did not vary greatly.

Wolfrum, E.; Payne, C.; Stefaniak, T.; Rooney, W.; Dighe, N.; Bean, B.; Dahlberg, J.

2013-03-01T23:59:59.000Z

183

Multivariate linear recursions with Markov-dependent coefficients  

Science Conference Proceedings (OSTI)

We study a linear recursion with random Markov-dependent coefficients. In a ''regular variation in, regular variation out'' setup we show that its stationary solution has a multivariate regularly varying distribution. This extends results previously ... Keywords: Heavy tails, Multivariate random recursions, Multivariate regular variation, Random vector equations, Stochastic difference equation, Tail asymptotic, primary, secondary

Diana Hay; Reza Rastegar; Alexander Roitershtein

2011-03-01T23:59:59.000Z

184

Cloud Fluctuation Statistics  

Science Conference Proceedings (OSTI)

A space-time statistical analysis of total outgoing infrared radiation (derived from the 10.5–12.5 ?m window measurements of the NOAA operational satellites) is used to determine the gross features of day-to-day cloudiness fluctuations over the ...

R. F. Cahalan; D. A. Short; G. R. North

1982-01-01T23:59:59.000Z

185

Multivariate geographic clustering on the world`s first zero price/performance parallel computer  

Science Conference Proceedings (OSTI)

The authors present an application of multivariate non-hierarchical statistical clustering to geographic environmental data from the 48 conterminous US in order to produce maps of regions of ecological similarity, called ecoregions. These maps represent more realistic and finer scale regionalizations than those generated by the traditional technique: an expert with a marker pen. Nine input variables thought to affect the growth of vegetation are clustered at a resolution of one square kilometer. These data represent over 7.7 million map cells in a 9-dimensional data space. Denied the funding for the construction of a Beowulf-style cluster of new PCs on which to perform this analysis, the authors built a 126-node cluster out of surplus PCs--primarily Intel 486 CPUs with a host of different motherboards and connected via 10 Mb/s ethernet--obtained at no cost from federal facilities in Oak Ridge, Tennessee. The authors describe the construction of this unique and heterogeneous cluster. Running RedHat Linux with the GNU compiles and both PVM and MPI, this cluster, aptly named the Stone SouperComputer, is the first parallel computer with a price/performance ratio of zero. After developing a serial version of the iterative statistical clustering algorithm, the authors developed a parallel version of the algorithm which uses the MPI message passing routines. The parallel algorithm uses a classical master/slave organization, performs dynamic load balancing for reasonable performance on heterogeneous clusters, and saves intermediate results for easy restarting in case of hardware failure. In addition to being run on the Stone SouperComputer, the parallel algorithm was tested on other parallel platforms without code modification. Finally, the results of the geographic clustering are presented.

Hoffman, F.M.; Hargrove, W.W. [Oak Ridge National Lab., TN (United States); Schultz, A.J. [Univ. of Tulsa, OK (United States)

1998-10-01T23:59:59.000Z

186

Constraints on Cosmological Parameters from the Analysis of the Cosmic Lens All Sky Survey Radio-Selected Gravitational Lens Statistics  

E-Print Network (OSTI)

We derive constraints on cosmological parameters and the properties of the lensing galaxies from gravitational lens statistics based on the final Cosmic Lens All Sky Survey (CLASS) data. For a flat universe with a classical cosmological constant, we find that the present matter fraction of the critical density is $\\Omega_{\\rm m}=0.31^{+0.27}_{-0.14}$ (68%) $^{+0.12}_{-0.10}$ (systematic). For a flat universe with a constant equation of state for dark energy $w = p_x({pressure})/\\rho_x({energy density})$, we find $w < -0.55^{+0.18}_{-0.11}$ (68%).

K. -H. Chae; A. D. Biggs; R. D. Blandford; I. W. A. Browne; A. G. de Bruyn; C. D. Fassnacht; P. Helbig; N. J. Jackson; L. J. King; L. V. E. Koopmans; S. Mao; D. R. Marlow; J. P. McKean; S. T. Myers; M. Norbury; T. J. Pearson; P. M. Phillips; A. C. S. Readhead; D. Rusin; C. M. Sykes; P. N. Wilkinson; E. Xanthopoulos; T. York

2002-09-28T23:59:59.000Z

187

On the disclosure risk of multivariate microaggregation  

Science Conference Proceedings (OSTI)

The aim of data protection methods is to protect a microdata file both minimizing the disclosure risk and preserving the data utility. Microaggregation is one of the most popular such methods among statistical agencies. Record linkage is the standard ... Keywords: Data projection, Disclosure risk, Microaggregation, Privacy in statistical databases, Record linkage

Jordi Nin; Javier Herranz; Vicenç Torra

2008-12-01T23:59:59.000Z

188

International Energy Statistics  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly

189

A statistical analysis of the effect of PECVD deposition parameters on surface and bulk recombination in silicon solar cells  

DOE Green Energy (OSTI)

We have performed a statistically designed multiparameter experiment using response surface methodology to determine the optimum deposition and anneal conditions for PECVD silicon-oxide and silicon-nitride films on Si solar cells. Our process includes a unique in situ hydrogen plasma treatment to promote bulk defect passivation independently of surface effects. Our goal has been to define a process to optimize cell performance by minimizing recombination while also providing an effective antireflection coating. Our initial results show that excellent emitter-surface passivation, approaching that of the best thermally grown oxides, can be obtained using a single-layer nitride coating whose refractive index is optimized for antireflection purposes. Use of the PECVD-nitride instead of a TiO{sub 2} ARC resulted in an 11% increase in output power.

Ruby, D.S. [Sandia National Labs., Albuquerque, NM (United States); Wilbanks, W.L.; Fleddermann, C.B. [Univ. of New Mexico, Albuquerque, NM (United States)

1995-01-01T23:59:59.000Z

190

Multivariate-Spline and Scale-Specific Solution for Variational Analyses  

Science Conference Proceedings (OSTI)

A recipe for a cubic B-spline-based solution for multivariate variational formulation of a data analysis and assimilation problem is provided. To represent a signal whose smallest wavelength is L, the spline scale must be at most L/2, or ...

Toshio M. Chin; Tamay M. Özgökmen; Arthur J. Mariano

2004-02-01T23:59:59.000Z

191

An Analysis of Wind Fluctuation Statistics Collected under Stable Atmospheric Conditions at Three Sites in Alberta, Canada  

Science Conference Proceedings (OSTI)

Wind fluctuation data collected under stable atmospheric conditions at two prairie sites and a site located near the Rocky Mountain foothills have been analyzed. Results of the analysis show a marked tendency for horizontal fluctuation angles to ...

D. M. Leahey; M. C. Hansen; M. B. Schroeder

1988-06-01T23:59:59.000Z

192

AMERICAN STATISTICAL ASSOCIATION COMMITTEE ON ENERGY STATISTICS  

U.S. Energy Information Administration (EIA)

american statistical association. committee on energy statistics . nicolas hengartner (2005-2006) chair; member (2001-2006) mark bernstein (2000-2005)

193

Numerical Aspects of the Application of Recursive Filters to Variational Statistical Analysis. Part II: Spatially Inhomogeneous and Anisotropic General Covariances  

Science Conference Proceedings (OSTI)

In this second part of a two-part study of recursive filter techniques applied to the synthesis of covariances in a variational analysis, methods by which non-Gaussian shapes and spatial inhomogeneities and anisotropies for the covariances may be ...

R. James Purser; Wan-Shu Wu; David F. Parrish; Nigel M. Roberts

2003-08-01T23:59:59.000Z

194

A statistical study of the spectra of very luminous IRAS galaxies. II.Spectral and environmental analysis  

E-Print Network (OSTI)

Spectroscopic observations of a sample of 73 very luminous IRAS galaxies (log(LIR/Lsun)>=11.5 for H0=50km s^{-1} Mpc^{-1},q0=0.5) from the 2Jy red- shift survey catalogue were carried out using the 2.16m telescope at the Beijing Astronomical Observatory. The observational data, including the optical images (extracted from Digital Sky Survey) and spectra for these galaxies, are presented in paper I (Wu et al., 1998). In this paper, we give the spectral and morphological classifications for these very luminous IRAS galaxies (VLIRGs). We show that about 60% of VLIRGs exhibit AGN-like spectra (Seyfert 1s, Seyfert 2s, LINER-like galaxies). This fraction goes up to 82% for the ultraluminous IRAS galaxies (ULIRGs) subsample (Log(LIR/ Lsun) >= 12.0). 56% of the VLIRGs show strong interaction or merging signa- tures; this fraction rises to 91% for the ULIRGs. These statistical results strongly suggest that interaction triggers nuclear activities and enhances the infrared luminosity. We find that LINER and a mixture type which have optical properties of both HII galaxies and LINERs could be at the transi- tion stage from infrared luminous HII galaxies to AGNs; their main energy production is from starbursts as well as AGNs. Both infrared luminosities and Ha equivalent widths increase dramatically as nuclear separations between VLIRGs and their nearest neighbors decrease. There is little doubt that strong starbursts happen in the nuclei of VLIRGs. Assuming class 0 as advanced merger, we construct a simple merger sequence, from morphological classes 1 to 4 (with near or far companions), to class 5 and 6 (interacting pairs and mergers) and then to class 0 (isolated galax- ies). Along this sequence, VLIRGs evolve from HII galaxies to AGNs.

H. Wu; Z. L. Zou; X. Y. Xia; Z. G. Deng

1998-04-07T23:59:59.000Z

195

Forecast-Error Statistics for Homogeneous and Inhomogeneous Observation Networks  

Science Conference Proceedings (OSTI)

Objective analysis procedures such as statistical interpolation require reliable estimates of forecast-error statistics in order to optimize the analysis weights. Reasonably good estimates of the forecast-error statistics can be obtained from ...

Roger Daley

1992-04-01T23:59:59.000Z

196

Statistics Office Electricity, Renewables Uranium Statistics ...  

U.S. Energy Information Administration (EIA)

smart grid technology and outage data collection to develop improved industry statistics. Comment ...

197

International Energy Statistics  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... Jordan 91.087 90.500 85 76.075 ...

198

International Energy Statistics  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... 2013 Africa 117.064 119.114 123.609 ...

199

A multivariate version of Hoeffding's Phi-Square  

Science Conference Proceedings (OSTI)

A multivariate measure of association is proposed, which extends the bivariate copula-based measure Phi-Square introduced by Hoeffding [22]. We discuss its analytical properties and calculate its explicit value for some copulas of simple form; a simulation ... Keywords: Copula, Empirical copula process, Multivariate measure of association, Nonparametric bootstrap, Nonparametric estimation, Primary, Secondary, Strong mixing, Weak convergence

Sandra Gaiíer; Martin Ruppert; Friedrich Schmid

2010-11-01T23:59:59.000Z

200

Assessing the Skill of an All-Season Statistical Forecast Model for the Madden–Julian Oscillation  

Science Conference Proceedings (OSTI)

Motivated by an attempt to augment dynamical models in predicting the Madden–Julian oscillation (MJO), and to provide a realistic benchmark to those models, the predictive skill of a multivariate lag-regression statistical model has been ...

Xianan Jiang; Duane E. Waliser; Matthew C. Wheeler; Charles Jones; Myong-In Lee; Siegfried D. Schubert

2008-06-01T23:59:59.000Z

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.


201

Method for factor analysis of GC/MS data  

Science Conference Proceedings (OSTI)

The method of the present invention provides a fast, robust, and automated multivariate statistical analysis of gas chromatography/mass spectroscopy (GC/MS) data sets. The method can involve systematic elimination of undesired, saturated peak masses to yield data that follow a linear, additive model. The cleaned data can then be subjected to a combination of PCA and orthogonal factor rotation followed by refinement with MCR-ALS to yield highly interpretable results.

Van Benthem, Mark H; Kotula, Paul G; Keenan, Michael R

2012-09-11T23:59:59.000Z

202

Population analysis relative to geothermal energy development, Imperial County, California  

DOE Green Energy (OSTI)

The historical and current population characteristics of Imperial County, California, are examined. These include vital rates, urbanization, town sizes, labor force composition, income, utility usage, and ethnic composition. Inferences are drawn on some of the important social and economic processes. Multivariate statistical analysis is used to study present relationships between variables. Population projections for the County were performed under historical, standard, and geothermal projection assumptions. The transferability of methods and results to other geothermal regions anticipating energy development is shown. (MHR)

Pick, J.B.; Jung, T.H.; Butler, E.

1977-01-01T23:59:59.000Z

203

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

204

International Energy Statistics  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... Jordan 112.4 107.7 103.5 96.5 ...

205

International Energy Statistics  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... Jordan 1.907 1.909 2.101 2.197 ...

206

International Energy Statistics  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... Germany 135.7 139.1 124.7 153.7 ...

207

Testing fractal connectivity in multivariate long memory processes  

Science Conference Proceedings (OSTI)

Within the framework of long memory multivariate processes, fractal connectivity is a particular model, in which the low frequencies (coarse scales) of the interspectrum of each pair of process components are determined by the autospectra of the components. ...

H. Wendt; A. Scherrer; P. Abry; S. Achard

2009-04-01T23:59:59.000Z

208

Multi-variable optimization of pressurized oxy-coal combustion  

E-Print Network (OSTI)

Simultaneous multi-variable gradient-based optimization with multi-start is performed on a 300 MWe wet-recycling pressurized oxy-coal combustion process with carbon capture and sequestration. The model accounts for realistic ...

Zebian, Hussam

2011-01-01T23:59:59.000Z

209

Multivariate Wave Climate Using Self-Organizing Maps  

Science Conference Proceedings (OSTI)

The visual description of wave climate is usually limited to two-dimensional conditional histograms. In this work, self-organizing maps (SOMs), because of their visualization properties, are used to characterize multivariate wave climate. The SOMs ...

Paula Camus; Antonio S. Cofiño; Fernando J. Mendez; Raul Medina

2011-11-01T23:59:59.000Z

210

Statistical Analysis and Interpretation of Building Characterization, Indoor Environmental Quality Monitoring and Energy Usage Data from Office Buildings and Classrooms in the United States  

Science Conference Proceedings (OSTI)

Three independent tasks had been performed (Stetzenbach 2008, Stetzenbach 2008b, Stetzenbach 2009) to measure a variety of parameters in normative buildings across the United States. For each of these tasks 10 buildings were selected as normative indoor environments. Task 1 focused on office buildings, Task 13 focused on public schools, and Task 0606 focused on high performance buildings. To perform this task it was necessary to restructure the database for the Indoor Environmental Quality (IEQ) data and the Sound measurement as several issues were identified and resolved prior to and during the transfer of these data sets into SPSS. During overview discussions with the statistician utilized in this task it was determined that because the selection of indoor zones (1-6) was independently selected within each task; zones were not related by location across tasks. Therefore, no comparison would be valid across zones for the 30 buildings so the by location (zone) data were limited to three analysis sets of the buildings within each task. In addition, differences in collection procedures for lighting were used in Task 0606 as compared to Tasks 01 & 13 to improve sample collection. Therefore, these data sets could not be merged and compared so effects by-day data were run separately for Task 0606 and only Task 01 & 13 data were merged. Results of the statistical analysis of the IEQ parameters show statistically significant differences were found among days and zones for all tasks, although no differences were found by-day for Draft Rate data from Task 0606 (p>0.05). Thursday measurements of IEQ parameters were significantly different from Tuesday, and most Wednesday measures for all variables of Tasks 1 & 13. Data for all three days appeared to vary for Operative Temperature, whereas only Tuesday and Thursday differed for Draft Rate 1m. Although no Draft Rate measures within Task 0606 were found to significantly differ by-day, Temperature measurements for Tuesday and Thursday showed variation. Moreover, Wednesday measurements of Relative Humidity within Task 0606 varied significantly from either Tuesday or Thursday. The majority of differences in IEQ measurements by-zone were highly significant (pschool buildings S02, S04, and S05, respectively. Although all tasks demonstrated significant differences in sound measurements by zone, some of the buil

Linda Stetzenbach; Lauren Nemnich; Davor Novosel

2009-08-31T23:59:59.000Z

211

Aspects of model selection in multivariate analyses  

Science Conference Proceedings (OSTI)

Analysis of data sets that involve large numbers of variables usually entails some type of model fitting and data reduction. In regression problems, a fitted model that is obtained by a selection process can be difficult to evaluate because of optimism induced by the choice mechanism. Problems in areas such as discriminant analysis, calibration, and the like often lead to similar difficulties. The preceeding sections reviewed some of the general ideas behind assessment of regression-type predictors and illustrated how they can be easily incorporated into a standard data analysis.

Picard, R.

1982-01-01T23:59:59.000Z

212

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Jordan 10 10 11 11 11 10 ...

213

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... Jordan (s) (s) (s) (s ...

214

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. ... Total Renewable Electricity Net Generation ... Bosnia and Herzegovina 0.039 ...

215

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. ... Total Renewable Electricity Installed Capacity ... Bosnia and Herzegovina 2.411 ...

216

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Electricity Prices ; Petroleum Prices ; Natural Gas Prices ; ...

217

Key China Energy Statistics 2011  

E-Print Network (OSTI)

consumption - Urban Other Statistical Difference Source: National Bureau of Statistics (NBS), China Energyconsumption - Urban Statistical Difference Source: National Bureau of Statistics (NBS), China Energyconsumption - Urban Statistical Difference Source: National Bureau of Statistics (NBS), China Energy

Levine, Mark

2013-01-01T23:59:59.000Z

218

Multivariate Ornstein--Uhlenbeck process in studies of home range. Technical report No. 2. [Radiotelemetry tracking of birds, deer, and coyotes  

SciTech Connect

In home range studies, the statistical analysis of radio telemetry data poses special problems due to lack of independence of successive observations along the sample path. Assuming, however, that such data is generated by a continuous, stationary, Gaussian process possessing the Markov property, then a multivariate Ornstein-Uhlenbeck diffusion process is necessarily the source and is proposed here to be a workable model. Its characterization is given in terms of the typical descriptive properties of home range such as center of activity, homing tendency, and confidence regions. Invariance of the model with respect to the choice of an observational coordinate system is established, while data for twin deer is used to illustrate the manner in which the model may be used for the study of territorial interaction. An approximate maximum likelihood procedure is proposed for estimation purposes, with results being reported for deer, coyote, and bird tracking data. Estimates based on the coyote tracking data are used to illustrate how the concept of statistical information may be utilized to examine various sampling strategies.

Dunn, J. E.

1976-07-15T23:59:59.000Z

219

Statistics | Data.gov  

NLE Websites -- All DOE Office Websites (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

220

A multivariate study of mass composition for simulated showers at the Auger South Observatory  

E-Print Network (OSTI)

The output parameters from the ground array of the Auger South observatory, were simulated for the typical instrumental and environmental conditions at its Malarg\\"ue site using the code sample-sim. Extensive air showers started by photons, protons and iron nuclei at the top of the atmosphere were used as triggers. The study utilized the air shower simulation code Aires with both QGSJet and Sibyll hadronic interaction models. A total of 1850 showers were used to produce more than 35,000 different ground events. We report here on the results of a multivariate analysis approach, including principal component analysis and neural networks, to the development of new primary composition diagnostics.

Gustavo A. Medina Tanco; Sergio J. Sciutto

2001-09-10T23:59:59.000Z

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.


221

Fingerprint verification using statistical descriptors  

Science Conference Proceedings (OSTI)

The importance of high precision matching in fingerprint cannot be over-emphasized. This paper presents a novel fingerprint verification algorithm which improves matching accuracy by overcoming the shortcomings of poor image quality. The proposed method ... Keywords: Biometrics, Fingerprint, Reliability, Singular point, Statistical analysis

Mohammed S. Khalil; Dzulkifli Mohamad; Muhammad Khurram Khan; Qais Al-Nuzaili

2010-07-01T23:59:59.000Z

222

Intense Summer Heat in Tokyo and Its Suburban Areas Related with Variation in the Synoptic-Scale Pressure Field: A Statistical Analysis  

Science Conference Proceedings (OSTI)

Intense summer heat in Tokyo and its suburban areas between 1990 and 2010 was statistically analyzed. Sample days were selected from among days with a sea breeze and sufficient sunshine duration, because sea breeze is the dominant summertime ...

Hiroshi Yoshikado

223

A Multivariate Training Technique with Event Reweighting  

E-Print Network (OSTI)

The performances of Artificial Neural Networks and Boosted Decision Trees using equal event weight and effective event weight training are compared in this paper. The comparison is performed in the context of the physics analysis of the ATLAS experiment at the Large Hadron Collider (LHC), which will explore the fundamental nature of matter and the basic forces that shape our universe. Based on our studies using the ATLAS Monte Carlo samples of simulated data, event pattern recognition with effective event weight training has significantly better performance than that with equal event weight training.

Yang, Hai-Jun; Wilson, Alan; Zhao, Zhengguo; Zhou Bing

2008-01-01T23:59:59.000Z

224

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... Jordan 0 0 0 0 0 0 0 ...

225

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | Annual Monthly/Quarterly. Capacity | Bunker Fuels | ...

226

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... Jordan 0 0 0 0 0 Kuwait ...

227

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Jordan 0.213 Kuwait 63.500 Lebanon 0 Oman ...

228

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | Annual Monthly/Quarterly. Capacity | Bunker Fuels | Stocks |

229

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... 2013 JAN FEB MAR APR MAY JUN ...

230

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... 2013 Middle East 802.157 Bahrain 0.125 ...

231

Statistical Analysis and Interpretation of Building Characterization, Indoor Environmental Quality Monitoring and Energy Usage Data from Office Buildings and Classrooms in the United States  

SciTech Connect

Three independent tasks had been performed (Stetzenbach 2008, Stetzenbach 2008b, Stetzenbach 2009) to measure a variety of parameters in normative buildings across the United States. For each of these tasks 10 buildings were selected as normative indoor environments. Task 1 focused on office buildings, Task 13 focused on public schools, and Task 0606 focused on high performance buildings. To perform this task it was necessary to restructure the database for the Indoor Environmental Quality (IEQ) data and the Sound measurement as several issues were identified and resolved prior to and during the transfer of these data sets into SPSS. During overview discussions with the statistician utilized in this task it was determined that because the selection of indoor zones (1-6) was independently selected within each task; zones were not related by location across tasks. Therefore, no comparison would be valid across zones for the 30 buildings so the by location (zone) data were limited to three analysis sets of the buildings within each task. In addition, differences in collection procedures for lighting were used in Task 0606 as compared to Tasks 01 & 13 to improve sample collection. Therefore, these data sets could not be merged and compared so effects by-day data were run separately for Task 0606 and only Task 01 & 13 data were merged. Results of the statistical analysis of the IEQ parameters show statistically significant differences were found among days and zones for all tasks, although no differences were found by-day for Draft Rate data from Task 0606 (p>0.05). Thursday measurements of IEQ parameters were significantly different from Tuesday, and most Wednesday measures for all variables of Tasks 1 & 13. Data for all three days appeared to vary for Operative Temperature, whereas only Tuesday and Thursday differed for Draft Rate 1m. Although no Draft Rate measures within Task 0606 were found to significantly differ by-day, Temperature measurements for Tuesday and Thursday showed variation. Moreover, Wednesday measurements of Relative Humidity within Task 0606 varied significantly from either Tuesday or Thursday. The majority of differences in IEQ measurements by-zone were highly significant (p<0.001), with the exception of Relative Humidity in some buildings. When all task data were combined (30 buildings) neither the airborne culturable fungi nor the airborne non-culturable spore data differed in the concentrations found at any indoor location in terms of day of collection. However, the concentrations of surface-associated fungi varied among the day of collection. Specifically, there was a lower concentration of mold on Tuesday than on Wednesday, for all tasks combined. As expected, variation was found in the concentrations of both airborne culturable fungi and airborne non-culturable fungal spores between indoor zones (1-6) and the outdoor zone (zone 0). No variation was found among the indoor zones of office buildings for Task 1 in the concentrations of airborne culturable fungi. However, airborne non-culturable spores did vary among zones in one building in Task 1 and variation was noted between zones in surface-associated fungi. Due to the lack of multiple lighting measurements for Tasks 13 and 0606, by-day comparisons were only performed for Task 1. No statistical differences were observed in lighting with respect to the day of collection. There was a wide range of variability by-zone among seven of the office buildings. Although few differences were found for the brightest illumination of the worksurface (IllumWkSfcBrtst) and the darkest illumination of the worksurface (IllumWkSfcDrkst) in Task 1, there was considerable variation for these variables in Task 13 and Task 0606 (p < 0.001). Other variables that differed by-zone in Task 13 include CombCCT and AmbCCT1 for S03, S07, and S08. Additionally, AmbChromX1, CombChromY, and CombChromX varied by-zone for school buildings S02, S04, and S05, respectively. Although all tasks demonstrated significant differences in sound measurements by zone, some of the buil

Linda Stetzenbach; Lauren Nemnich; Davor Novosel

2009-08-31T23:59:59.000Z

232

Residential solar home resale analysis  

DOE Green Energy (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

233

Multivariate and Supervised Approaches for Mathematical Morphology in Remote Sensing  

E-Print Network (OSTI)

Multivariate and Supervised Approaches for Mathematical Morphology in Remote Sensing S´ebastien Lef`evre Image Sciences, Computer Sciences and Remote Sensing Laboratory (LSIIT) Models, Image and Vision Team MM Supervised MM Applications in Remote Sensing Conclusion Mathematical Morphology is a powerful

Lefèvre, Sébastien

234

Multivariable model predictive control for a gas turbine power plant  

Science Conference Proceedings (OSTI)

In this brief, constrained multi variable model predictive control (MPC) strategy is investigated for a GE9001E gas turbine power plant. So the rotor speed and exhaust gas temperature are controlled manipulating the fuel command and compressor inlet ... Keywords: ARX, gas turbine, identification, modeling, multivariable control, power plant, predictive control

Hadi Ghorbani; Ali Ghaffari; Mehdi Rahnama

2008-05-01T23:59:59.000Z

235

Multiobjective evolutionary algorithms for multivariable PI controller design  

Science Conference Proceedings (OSTI)

A multiobjective optimisation engineering design (MOED) methodology for PI controller tuning in multivariable processes is presented. The MOED procedure is a natural approach for facing multiobjective problems where several requirements and specifications ... Keywords: Controller tuning, Decision making, Multiobjective evolutionary optimisation, Multiobjective optimisation, PID tuning

Gilberto Reynoso-Meza; Javier Sanchis; Xavier Blasco; Juan M. Herrero

2012-07-01T23:59:59.000Z

236

A hit-or-miss transform for multivariate images  

Science Conference Proceedings (OSTI)

The hit-or-miss transform (HMT) is considered to be among the fundamental operations in the morphological toolbox. Initially, it was defined for binary images, as a morphological approach to the problem of template matching, whereas its extension to ... Keywords: Colour HMT, Hit-or-miss transform, Multivariate morphology, Template matching

E. Aptoula; S. Lefèvre; C. Ronse

2009-06-01T23:59:59.000Z

237

Shape mixtures of multivariate skew-normal distributions  

Science Conference Proceedings (OSTI)

Classes of shape mixtures of independent and dependent multivariate skew-normal distributions are considered and some of their main properties are studied. If interpreted from a Bayesian point of view, the results obtained in this paper bring tractability ... Keywords: 62E15, 62H05, Bayes, Conjugacy, Regression model, Robustness, Shape parameter, Skew-normal distribution, Skewness

Reinaldo B. Arellano-Valle; Marc G. Genton; Rosangela H. Loschi

2009-01-01T23:59:59.000Z

238

UK Energy Statistics: Electricity (2010) UK National Statistics...  

Open Energy Info (EERE)

Statistics: Electricity (2010) UK National Statistics on electricity generation through sales are presented in Chapter 5 (Electricity) of the Digest of UK Energy Statistics...

239

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Jordan -0.3 -0.1 0.1 0.7 0.6 0.2 ...

240

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Jordan -0.3 -0.1 0.1 0.7 0.6 Kuwait ...

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

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... Jordan 0.225 0.220 0.231 0.251 ...

242

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... Jordan 0.214 0.225 0.220 0.231 ...

243

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Jordan 17.1 6.5 3.2 37.8 26.0 10.0 ...

244

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... Jordan 0.220 0.213 0.213 0.213 ...

245

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... Jordan 20.058 19.861 19.295 19.625 ...

246

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Germany 41.1 35.6 30.8 28.1 30.8 31 ...

247

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | ... 2013 1Q 2Q 3Q 4Q 1Q 2Q ...

248

ARM - Historical Visitor Statistics  

NLE Websites -- All DOE Office Websites (Extended Search)

and Usage (October 1995 - Present) Historical Visitor Statistics As a national user facility, ARM is required to report facility use for actual visitors and for active user...

249

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. ... United States 100.150 ... 180.028 Virgin Islands, U.S. 0 0 0 0 0 0 ...

250

3. Crude Oil Statistics  

U.S. Energy Information Administration (EIA)

3. Crude Oil Statistics The United States had 21,371 million barrels of crude oil proved reserves as of December 31, 2004. Crude oil proved reserves ...

251

New statistical methods for detecting point alignments  

Science Conference Proceedings (OSTI)

Detection of straight-linear point alignments has a number of geological applications. Assessing the statistical significance of such alignments is relatively straightforward in the case of overall lineament orientation, but becomes complicated for non-stationary ... Keywords: Alignment detection, Directional statistics, Point patterns, Spatial analysis

Ø. Hammer

2009-03-01T23:59:59.000Z

252

Optimal statistical model for forecasting ozone  

Science Conference Proceedings (OSTI)

The objective of this paper is to apply time series analysis and multiple regression method to ozone data in order to obtain the optimal statistical model for forecasting next day ozone level. The best estimated model is then used to produce one-step ... Keywords: ARMA (p, q), Durbin-Watson Statistic, MAPE, R-square, multiple regression

M. Abdollahian; R. Foroughi; N. Debnath

2006-04-01T23:59:59.000Z

253

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Statistics of the People's Republic of China, various years.China Energy Statistical Yearbook.Beijing: China Statistics Press. 2. Transformation National

Levine, Mark

2013-01-01T23:59:59.000Z

254

FY 2005 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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.........................................................................................................

255

Statistics of the Global Tropopause Pressure  

Science Conference Proceedings (OSTI)

Statistics of the global tropopause pressure are evaluated for the period between 1979 and 1993. The analysis is based on gridded data as provided by the ECMWF reanalysis project. The thermal and dynamical definitions of the tropopause are ...

Klaus P. Hoinka

1998-12-01T23:59:59.000Z

256

Statistical design of a uranium corrosion experiment  

DOE Green Energy (OSTI)

This work supports an experiment being conducted by Roland Schulze and Mary Ann Hill to study hydride formation, one of the most important forms of corrosion observed in uranium and uranium alloys. The study goals and objectives are described in Schulze and Hill (2008), and the work described here focuses on development of a statistical experiment plan being used for the study. The results of this study will contribute to the development of a uranium hydriding model for use in lifetime prediction models. A parametric study of the effect of hydrogen pressure, gap size and abrasion on hydride initiation and growth is being planned where results can be analyzed statistically to determine individual effects as well as multi-variable interactions. Input to ESC from this experiment will include expected hydride nucleation, size, distribution, and volume on various uranium surface situations (geometry) as a function of age. This study will also address the effect of hydrogen threshold pressure on corrosion nucleation and the effect of oxide abrasion/breach on hydriding processes. Statistical experiment plans provide for efficient collection of data that aids in understanding the impact of specific experiment factors on initiation and growth of corrosion. The experiment planning methods used here also allow for robust data collection accommodating other sources of variation such as the density of inclusions, assumed to vary linearly along the cast rods from which samples are obtained.

Wendelberger, Joanne R [Los Alamos National Laboratory; Moore, Leslie M [Los Alamos National Laboratory

2009-01-01T23:59:59.000Z

257

LCLS Publications: Statistics  

NLE Websites -- All DOE Office Websites (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

258

A Symplectic Method to Generate Multivariate Normal Distributions  

E-Print Network (OSTI)

The AMAS group at the Paul Scherrer Institute developed an object oriented library for high performance simulation of high intensity ion beam transport with space charge. Such particle-in-cell (PIC) simulations require a method to generate multivariate particle distributions as starting conditions. In a preceeding publications it has been shown that the generators of symplectic transformations in two dimensions are a subset of the real Dirac matrices (RDMs) and that few symplectic transformations are required to transform a quadratic Hamiltonian into diagonal form. Here we argue that the use of RDMs is well suited for the generation of multivariate normal distributions with arbitrary covariances. A direct and simple argument supporting this claim is that this is the "natural" way how such distributions are formed. The transport of charged particle beams may serve as an example: An uncorrelated gaussian distribution of particles starting at some initial position of the accelerator is subject to linear deformat...

Baumgarten, Christian

2012-01-01T23:59:59.000Z

259

Scalable k-means statistics with Titan.  

SciTech Connect

This report summarizes existing statistical engines in VTK/Titan and presents both the serial and parallel k-means statistics engines. It is a sequel to [PT08], [BPRT09], and [PT09] which studied the parallel descriptive, correlative, multi-correlative, principal component analysis, and contingency engines. The ease of use of the new parallel k-means 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 k-means engine.

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

2009-11-01T23:59:59.000Z

260

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):

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

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

262

GSE statistics without spin  

E-Print Network (OSTI)

Energy levels statistics following the Gaussian Symplectic Ensemble (GSE) of Random Matrix Theory have been predicted theoretically and observed numerically in numerous quantum chaotic systems. However in all these systems there has been one unifying feature: the combination of half-integer spin and time-reversal invariance. Here we provide an alternative mechanism for obtaining GSE statistics that is based on geometric symmetries of a quantum system which alleviates the need for spin. As an example, we construct a quantum graph with a particular discrete symmetry given by the quaternion group Q8. GSE statistics is then observed within one of its subspectra.

Christopher H. Joyner; Sebastian Müller; Martin Sieber

2013-02-11T23:59:59.000Z

263

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

264

Hurricane Track Prediction Using a Statistical Ensemble of Numerical Models  

Science Conference Proceedings (OSTI)

A new statistical ensemble prediction system for tropical cyclone tracks is presented. The system is based on a statistical analysis of the annual performance of numerical track prediction models, assuming that their position errors are ...

Harry C. Weber

2003-05-01T23:59:59.000Z

265

Techniques of Linear Prediction for Systems with Periodic Statistics  

Science Conference Proceedings (OSTI)

Many parameters that measure climatic variability have nonstationary statistics, that is, they depend strongly on the phase of the annual cycle. In this case normal statistical analysis techniques based on time-invariant models are inappropriate. ...

K. Hasselmann; T. P. Barnett

1981-10-01T23:59:59.000Z

266

VTG schemes for using back propagation for multivariate time series prediction  

Science Conference Proceedings (OSTI)

This research proposes the three schemes of estimating and adding mid-terms to multivariate time series. In this research, the back propagation is adopted as the approach to multivariate time series prediction. It is traditionally designed for the task ... Keywords: Multivariate time series prediction, Neural networks, Virtual terms

Taeho Jo

2013-05-01T23:59:59.000Z

267

HIPLEX-1: Statistical Evaluation  

Science Conference Proceedings (OSTI)

Results of statistical analyses for HIPLEX-1, a randomized cloud seeding experiment, are presented. The analyses are based principally on multi-response permutation procedures (MRPP) as specified before the HIPLEX-1 experiment was initiated. Even ...

Paul W. Mielke Jr.; Kenneth J. Berry; Arnett S. Dennis; Paul L. Smith; James R. Miller Jr.; Bernard A. Silverman

1984-04-01T23:59:59.000Z

268

Statistics of Sxy Estimates  

Science Conference Proceedings (OSTI)

The statistics of Sxy estimates derived from orthogonal-component measurements are examined. Based on results of Goodman, the probability density function (pdf) for Sxy(f) estimates is derived, and a closed-form solution for arbitrary moments of ...

M. H. Freilich; S. S. Pawka

1987-10-01T23:59:59.000Z

269

APS Operational Statistics  

NLE Websites -- All DOE Office Websites (Extended Search)

physics, geology, and environmental science. The APS was built by the U.S. Department of Energy as a national user facility. This page provides access to operational statistics...

270

Production structure models and applications within a Statistical Activity Cost Theory (SACT) Framework.  

E-Print Network (OSTI)

??Statistical Activity Cost Theory (SACT) is an axiomatic and statistical theory of basic accounting measurement practice. The aim of the SACT analysis, among others, is… (more)

Turner, Lyle Robert

2007-01-01T23:59:59.000Z

271

Ensemble-Based Exigent Analysis. Part I: Estimating Worst-Case Weather-Related Forecast Damage Scenarios  

Science Conference Proceedings (OSTI)

Exigent analysis supplements an ensemble forecast of weather-related damage with a map of the worst-case scenario (WCS), a multivariate confidence bound of the damage. For multivariate Gaussian ensembles, ensemble-based exigent analysis uses a ...

Daniel Gombos; Ross N. Hoffman

2013-06-01T23:59:59.000Z

272

Synchrotron Infrared Spectroscopy with Multivariate Spectral Analyses Potentially Facilitates the Classification of Inherent Structures of Feed-Type of Sorghum  

Science Conference Proceedings (OSTI)

The objective of this study was to investigate the inherent structural-chemical features of Chinese feed-type sorghum seed using synchrotron-radiation Fourier transform infrared microspectroscopy (SRFTIRM) with two multivariate molecular spectral analysis techniques: Agglomerative Hierarchical cluster (AHCA) and principal component analyses (PCA). The results show that by application of these two multivariate techniques with the infrared spectroscopy of the SRFTIRM, it makes possible to discriminate and classify the inherent molecular structural features among the different layers of sorghum with a great efficiency. With the SRFTIRM, images of the molecular chemistry of sorghum could be generated at an ultra-spatial resolution. The features of nutrient matrix and nutrient make-up and interactions could be revealed.

Yu Peiqiang; Damiran, Daalkhaijav [College of Agriculture and Bioresources, University of Saskatchewan 51 Campus Drive, Saskatoon, S7N 5A8 (Canada); Liu Dasen [College of Animal Science and Technology, Northeast Agricultural University (China)

2010-02-03T23:59:59.000Z

273

Statistical Software and the e-Handbook of Statistical Methods  

Science Conference Proceedings (OSTI)

Statistical Software and the e-Handbook of Statistical Methods. ... The example data in the Handbook is also analyzed using R software. ...

2013-11-26T23:59:59.000Z

274

Statistics Canada Energy Data: 2005 - 2009 Statistics Canada...  

Open Energy Info (EERE)

statistics are published on the Statistics Canada website. The data includes: annual energy fuel consumption in the manufacturing sector, by fuel type and by subsectors (2005...

275

FY 2013 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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 -- --

276

FY 2009 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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..........................................

277

New statistical methods for investigating submarine pockmarks  

Science Conference Proceedings (OSTI)

We investigate the applicability of some novel spatial analysis techniques, developed for studies of astrophysical datasets, to the analysis of spatial point data in sedimentary basins. The techniques are evaluated and compared with standard methods ... Keywords: Pockmarks, Spatial distribution, Statistical methods

Annabel Cartwright; Jennifer Moss; Joe Cartwright

2011-10-01T23:59:59.000Z

278

Intelligent Transportation Systems Deployment Statistics Database  

E-Print Network (OSTI)

, transportation agencies in 108 metropolitan areas involved with freeway, arterial, and transit management, public to insights regarding future program changes, redefinition of goals, or maintenance of current program Aviation Safety Air Traffic Management Analysis Data, Statistical Analysis Geo-Spatial Information Tools

279

Analysis of well test data---Application of probabilistic models to infer hydraulic properties of fractures. [Contains list of standardized terminology or nomenclatue used in statistical models  

Science Conference Proceedings (OSTI)

Statistical and probabilistic methods for estimating the probability that a fracture is nonconductive (or equivalently, the conductive-fracture frequency) and the distribution of the transmissivities of conductive fractures from transmissivity measurements made in single-hole injection (well) tests were developed. These methods were applied to a database consisting of over 1,000 measurements made in nearly 25 km of borehole at five sites in Sweden. The depths of the measurements ranged from near the surface to over 600-m deep, and packer spacings of 20- and 25-m were used. A probabilistic model that describes the distribution of a series of transmissivity measurements was derived. When the parameters of this model were estimated using maximum likelihood estimators, the resulting estimated distributions generally fit the cumulative histograms of the transmissivity measurements very well. Further, estimates of the mean transmissivity of conductive fractures based on the maximum likelihood estimates of the model's parameters were reasonable, both in magnitude and in trend, with respect to depth. The estimates of the conductive fracture probability were generated in the range of 0.5--5.0 percent, with the higher values at shallow depths and with increasingly smaller values as depth increased. An estimation procedure based on the probabilistic model and the maximum likelihood estimators of its parameters was recommended. Some guidelines regarding the design of injection test programs were drawn from the recommended estimation procedure and the parameter estimates based on the Swedish data. 24 refs., 12 figs., 14 tabs.

Osnes, J.D. (RE/SPEC, Inc., Rapid City, SD (United States)); Winberg, A.; Andersson, J.E.; Larsson, N.A. (Sveriges Geologiska AB, Goeteborg (Sweden))

1991-09-27T23:59:59.000Z

280

Statistical Analysis of the Phase 3 Emissions Data Collected in the EPAct/V2/E89 Program: January 7, 2010 - July 6, 2012  

SciTech Connect

Phase 3 of the EPAct/V2/E-89 Program investigated the effects of 27 program fuels and 15 program vehicles on exhaust emissions and fuel economy. All vehicles were tested over the California Unified Driving Cycle (LA-92) at 75 degrees F. The program fuels differed on T50, T90, ethanol, Reid vapor pressure, and aromatics. The vehicles tested were new, low-mileage 2008 model year Tier 2 vehicles. A total of 956 test runs were made. Comprehensive statistical modeling and analyses were conducted on methane, carbon dioxide, carbon monoxide, fuel economy, non-methane hydrocarbons, non-methane organic gases, oxides of nitrogen, particulate matter, and total hydrocarbons. In general, model fits determined that emissions and fuel economy were complicated by functions of the five fuel parameters. An extensive evaluation of alternative model fits produced a number of competing model fits. Many of these alternative fits produce similar estimates of mean emissions for the 27 program fuels but should be carefully evaluated for use with emerging fuels with combinations of fuel parameters not included here. The program includes detailed databases on each of the 27 program fuels on each of the 15 vehicles and on each of the vehicles on each of the program fuels.

Gunst, R. F.

2013-05-01T23:59:59.000Z

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.


281

Topology for statistical modeling of petascale data.  

SciTech Connect

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

282

Statistical Inference: Hypothesis Test  

E-Print Network (OSTI)

1 Statistical Inference: Hypothesis Test GOG 502/PLN 504 Youqin Huang 1 Review: The Z t ( )± Today's topic: Hypothesis Tests What is hypothesis test? Elements, steps, types of hypothesis test Significance test for a mean Small vs. large sample Significance test for proportion GOG 502/PLN 504 Youqin

Huang, Youqin

283

Quantum Statistics Madalin Guta  

E-Print Network (OSTI)

Quantum Statistics Madalin Gut¸a School of Mathematics University of Nottingham 1 #12;The old paradigm Quantum Mechanics up to the 80's Quantum measurements have random results Only probability particles, any more than we can raise Ichtyosauria in the zoo 2 #12;The new paradigm Individual quantum

Guta, Madalin

284

Environmental restoration and statistics: Issues and needs  

Science Conference Proceedings (OSTI)

Statisticians have a vital role to play in environmental restoration (ER) activities. One facet of that role is to point out where additional work is needed to develop statistical sampling plans and data analyses that meet the needs of ER. This paper is an attempt to show where statistics fits into the ER process. The statistician, as member of the ER planning team, works collaboratively with the team to develop the site characterization sampling design, so that data of the quality and quantity required by the specified data quality objectives (DQOs) are obtained. At the same time, the statistician works with the rest of the planning team to design and implement, when appropriate, the observational approach to streamline the ER process and reduce costs. The statistician will also provide the expertise needed to select or develop appropriate tools for statistical analysis that are suited for problems that are common to waste-site data. These data problems include highly heterogeneous waste forms, large variability in concentrations over space, correlated data, data that do not have a normal (Gaussian) distribution, and measurements below detection limits. Other problems include environmental transport and risk models that yield highly uncertain predictions, and the need to effectively communicate to the public highly technical information, such as sampling plans, site characterization data, statistical analysis results, and risk estimates. Even though some statistical analysis methods are available off the shelf'' for use in ER, these problems require the development of additional statistical tools, as discussed in this paper. 29 refs.

Gilbert, R.O.

1991-10-01T23:59:59.000Z

285

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)

Empirical models for estimating the breakthrough time and regained permeability for selected nondamaging drill-in fluids (DIF's) give a clear indication of formation damage and proper cleanup treatments for reservoir conditions analyzed in this study. We determined values of breakthrough time and regained permeability for common polymer-carbonate and sized-salt/saturated brine DIF's for a range at reservoir properties including temperature, drill solids content, and percent of acid in the cleanup treatment. We chose these DIF's because they form tight, thin filtercakes that control fluid leakoff and afford more complete wellbore cleanup properties than standard drilling muds, and we chose reservoir properties that could be varied and measured. Beginning with a large database of 101 tests with 8 independent variables such as type of drill-in fluid, temperature, screen type, presence of gravel pack, formation type, type of drill solids, concentration of drill solids, and cleanup treatments, we analyzed the importance of each variable. After that, we identified the independent variables we were taking into account during this research. Those variables were temperature, drill solids content, and concentration of hydrochloric acid in the cleanup treatment. Then we generated a matrix for each set of experiments that allowed us to organize and measure the conditions we were looking for, regained permeability and breakthrough time. In measuring the regained permeability, we used a linear-flow cell apparatus. In measuring the breakthrough time that particular cleaning procedures take to flow across the filter cake, we used a ceramic disc cell apparatus. We used statistical software to select properties, formation, and diagnostics of the models and to develop relationships among the properties of the DIF's. We developed four new empirical models for estimating the breakthrough time and regained permeability in polymer carbonate and sized salt. High correlations resulted with R² values between 0.851 and 0.986 corroborated by close values of adjusted R-square and low P-values give validity to the correlations found. This technique gives a broad overview of the formation damage as well as the proper cleanup treatment for similar conditions presented in the field.

Serrano, Gerardo Enrique

2000-01-01T23:59:59.000Z

286

FY 2008 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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......................

287

FY 2006 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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%

288

FY 2010 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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 -- -- --

289

FY 2012 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

290

FY 2007 Statistical Table  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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.......................

291

Improved Methods for Multivariate Optimization of Field Development . . .  

E-Print Network (OSTI)

Optimization of reservoir development requires many evaluations of the possible combinations of the decision variables, such as well locations and production scheduling parameters, to obtain the best economic strategies. Running a simulator for such a large number of evaluations may be infeasible due to the computation time involved. This study investigated two multivariate interpolation algorithms, Least Squares and Kriging, to generate new realizations from a limited number of simulations in order to predict the optimal strategies in a field development scheduling project and a waterflood project. The result was a significant reduction in the simulation effort required. The recommended solutions were obtained by searching for the optimal objective function values among the interpolation realizations. Additional simulation runs were performed to refine the search for the final optimal solution in the vicinity of the intermediate optimal region. The net present value was used as the ob...

Yan Pan

1998-01-01T23:59:59.000Z

292

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

293

Statistical Alignment Models for . . .  

E-Print Network (OSTI)

The ever-increasing amount of parallel data opens a rich resource to multilingual natural language processing, enabling models to work on various translational aspects like detailed human annotations, syntax and semantics. With efficient statistical models, many cross-language applications have seen significant progresses in recent years, such as statistical machine trans-lation, speech-to-speech translation, cross-lingual information retrieval and bilingual lexicog-raphy. However, the current state-of-the-art statistical translation models rely heavily on the word-level mixture models — a bottleneck, which fails to represent the rich varieties and depen-dencies in translations. In contrast to word-based translations, phrase-based models are more robust in capturing various translation phenomena than the word-level (e.g., local word reordering), and less susceptive to the errors from preprocessing such as word segmentations and tok-enizations. Leveraging phrase level knowledge in translation models is challenging yet reward-ing: it also brings significant improvements on translation qualities. Above the phrase-level are

Bing Zhao

2007-01-01T23:59:59.000Z

294

Key China Energy Statistics 2011  

E-Print Network (OSTI)

statistics. The China Sustainable Energy Program of theand the Energy Foundation Sustainable Energy Program with

Levine, Mark

2013-01-01T23:59:59.000Z

295

Experimental Mathematics and Computational Statistics  

SciTech Connect

The field of statistics has long been noted for techniques to detect patterns and regularities in numerical data. In this article we explore connections between statistics and the emerging field of 'experimental mathematics'. These includes both applications of experimental mathematics in statistics, as well as statistical methods applied to computational mathematics.

Bailey, David H.; Borwein, Jonathan M.

2009-04-30T23:59:59.000Z

296

Ma, Kockelman & Damien 1 A Multivariate Poisson-Lognormal Regression Model for Prediction  

E-Print Network (OSTI)

Analysis and Prevention, 18(1), pp.1-12. Hauer, E. (1997). Observational Before-After Studies in Road.V., Stewart, J.R., Huang, H.H., and Lagerwey, P.A. (2002). Safety Effects of Marked Vs. Unmarked Crosswalks.S. DOT. #12;Ma, Kockelman & Damien 18 List of Tables Table 1 Summary Statistics of Variables

Kockelman, Kara M.

297

Independent Component Analysis for Filtering Airwaves in Seabed Logging Application  

E-Print Network (OSTI)

Marine controlled source electromagnetic (CSEM) sensing method used for the detection of hydrocarbons based reservoirs in seabed logging application does not perform well due to the presence of the airwaves (or sea-surface). These airwaves interfere with the signal that comes from the subsurface seafloor and also tend to dominate in the receiver response at larger offsets. The task is to identify these air waves and the way they interact, and to filter them out. In this paper, a popular method for counteracting with the above stated problem scenario is Independent Component Analysis (ICA). Independent component analysis (ICA) is a statistical method for transforming an observed multidimensional or multivariate dataset into its constituent components (sources) that are statistically as independent from each other as possible. ICA-type de-convolution algorithm that is FASTICA is considered for mixed signals de-convolution and considered convenient depending upon the nature of the source and noise model. The res...

Ansari, Adeel; Said, Abas B Md; Ansari, Seema

2013-01-01T23:59:59.000Z

298

Selecting the best statistical distribution with PROMETHEE and GAIA  

Science Conference Proceedings (OSTI)

Three methods have previously been presented in Computer and Industrial Engineering for the selection of a statistical distribution to describe a data-set: the weighted sum model, the weighted multiplication model and data envelopment analysis. These ... Keywords: GAIA, Multi-criteria decision analysis, PROMETHEE, Ranking, Statistical distribution

Alessio Ishizaka; Philippe Nemery

2011-11-01T23:59:59.000Z

299

A Survey of Statistical Network Models  

Science Conference Proceedings (OSTI)

Networks are ubiquitous in science and have become a focal point for discussion in everyday life. Formal statistical models for the analysis of network data have emerged as a major topic of interest in diverse areas of study, and most of these involve ...

Anna Goldenberg; Alice X. Zheng; Stephen E. Fienberg; Edoardo M. Airoldi

2010-02-01T23:59:59.000Z

300

General Circulation Statistics on Short Time Scales  

Science Conference Proceedings (OSTI)

The sensitivity of various zonal mean general circulation statistics to the choice of the averaging period used to define them is tested with upper-air data for the Northern Hemisphere taken from the NMC global analysis for the winter of 1976–77. ...

Richard D. Rosen; David A. Salstein

1982-07-01T23:59:59.000Z

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.


301

Controlling statistical properties of stored light  

E-Print Network (OSTI)

Statistical properties of outgoing light pulses are studies after they have been stored in a medium of atoms in the tripod configuration. A generalized Hong-Ou-Mandel interference, storing of squeezed states and homodyne signal analysis are discussed in the context of their dependence on the parameters of the control fields used for light storage and release.

A. Raczynski; K. Slowik; J. Zaremba; S. Zielinska-Kaniasty

2007-04-23T23:59:59.000Z

302

Multivariable self-organizing fuzzy logic control using dynamic performance index and linguistic compensators  

Science Conference Proceedings (OSTI)

As far as fuzzy logic based multivariable control systems are concerned, it is not always an easy task to express control strategies in the form of related multi-situations to multi-actions control rules. Decoupled control is one possible and attractive ... Keywords: Compensator, Decoupled control, Fuzzy logic control, Multivariable system, Self-organizing

Qing Lu; Mahdi Mahfouf

2012-12-01T23:59:59.000Z

303

Brief paper: Suboptimal control of linear stochastic multivariable systems with unknown parameters  

Science Conference Proceedings (OSTI)

An algorithm is proposed for suboptimal control of linear multivariable systems with unknown parameters and output noise covariances. This algorithm is based on the idea of explicitly separating the functions of identification, estimation and control. ... Keywords: Kalman filters, Multivariable control systems, canonical forms, controllability, discrete time systems, observability, parameter estimation, state estimation, state space methods, stochastic control

H. El-Sherief; N. K. Sinha

1982-01-01T23:59:59.000Z

304

Fast and exact synthesis of stationary multivariate Gaussian time series using circulant embedding  

Science Conference Proceedings (OSTI)

A fast and exact procedure for the numerical synthesis of stationary multivariate Gaussian time series with a priori prescribed and well controlled auto- and cross-covariance functions is proposed. It is based on extending the circulant embedding technique ... Keywords: Circulant embedding, Multivariate Gaussian series, Numerical synthesis, Stationarity, Time-reversibility

Hannes Helgason; Vladas Pipiras; Patrice Abry

2011-05-01T23:59:59.000Z

305

Volatility dynamics of the US business cycle: A multivariate asymmetric GARCH approach  

Science Conference Proceedings (OSTI)

Most empirical investigations of the business cycles in the United States have excluded the dimension of asymmetric conditional volatility. This paper analyses the volatility dynamics of the US business cycle by comparing the performance of various multivariate ... Keywords: Constant correlations, E32, E37, Index of industrial production, Multivariate asymmetric GARCH, US business cycle non-linearities, Varying-correlations

Kin-Yip Ho; Albert K. Tsui; Zhaoyong Zhang

2009-05-01T23:59:59.000Z

306

Signal propagation in Bayesian networks and its relationship with intrinsically multivariate predictive variables  

Science Conference Proceedings (OSTI)

A set of predictor variables is said to be intrinsically multivariate predictive (IMP) for a target variable if all properly contained subsets of the predictor set are poor predictors of the target but the full set predicts the target with great accuracy. ... Keywords: Bayesian network, Feature selection, Intrinsically multivariate prediction

David C. Martins, Jr.; Evaldo A. De Oliveira; Ulisses M. Braga-Neto; Ronaldo F. Hashimoto; Roberto M. Cesar, Jr.

2013-03-01T23:59:59.000Z

307

A Bayesian approach to bandwidth selection for multivariate kernel density estimation  

Science Conference Proceedings (OSTI)

Kernel density estimation for multivariate data is an important technique that has a wide range of applications. However, it has received significantly less attention than its univariate counterpart. The lower level of interest in multivariate kernel ... Keywords: Cross-validation, Kullback-Leibler information, Mean integrated squared errors, Monte Carlo kernel likelihood, Sampling algorithms

Xibin Zhang; Maxwell L. King; Rob J. Hyndman

2006-07-01T23:59:59.000Z

308

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

309

Statistical physics ""Beyond equilibrium  

Science Conference Proceedings (OSTI)

The scientific challenges of the 21st century will increasingly involve competing interactions, geometric frustration, spatial and temporal intrinsic inhomogeneity, nanoscale structures, and interactions spanning many scales. We will focus on a broad class of emerging problems that will require new tools in non-equilibrium statistical physics and that will find application in new material functionality, in predicting complex spatial dynamics, and in understanding novel states of matter. Our work will encompass materials under extreme conditions involving elastic/plastic deformation, competing interactions, intrinsic inhomogeneity, frustration in condensed matter systems, scaling phenomena in disordered materials from glasses to granular matter, quantum chemistry applied to nano-scale materials, soft-matter materials, and spatio-temporal properties of both ordinary and complex fluids.

Ecke, Robert E [Los Alamos National Laboratory

2009-01-01T23:59:59.000Z

310

A statistical mechanical curiosity  

E-Print Network (OSTI)

Unlike most other laws of nature, the second law of thermodynamics is according to Boltzmann statistical in nature, meaning that its reliability arises from the vast number of particles present in macroscopic systems. This means that such systems will lead towards their most likely state, that is, the one with the most homogeneous probability distribution. But Boltzmann states that entropy decreasing processes can occur (without doing any work), it is just very improbable. It is therefore not impossible, in principle, for all 6 x 10^23 atoms in a mole of a gas to spontaneously move to one half of a container; it is only fantastically unlikely. A similar idea has been applied on a human cell. All somatic cells seem to age and deteriorate in unfavorable conditions. If the aging process is defined as the accumulation of dysfunctional polymers resulting from among other things chemical bond breakage, where polymers aggregate into harmful arrangements, spreading randomly out in the cell, leading to an altered function, then it also applies that there will be a difference in entropy between an individual of, say, 20 years, and the same individual 80 years old. The goal of this article is to demonstrate that the second law does not tell us that the cell necessarily must go toward a high entropy state and stay that way, but that it is possible according to statistical mechanics for an old cell to experience a return to a younger state. We find the probability of this spontaneous return to a more ordered state to be expressed by P = 10^(-202)^(-889). In spite of this number, it does show that a reversal of the aging process is not prohibited by nature. There is a theoretical possibility of rejuvenation. Whether this will ever become a practical reality is another matter.

Ian von Hegner

2012-12-05T23:59:59.000Z

311

Ideas By Statistical Mechanics (ISM)  

Science Conference Proceedings (OSTI)

Ideas by Statistical Mechanics (ISM) is a generic program to model evolution and propagation of ideas/patterns throughout populations subjected to endogenous and exogenous interactions. The program is based on the author's work in Statistical Mechanics ... Keywords: neocortical interactions, risk management, simulated annealing, statistical mechanics

Lester Ingber

2007-08-01T23:59:59.000Z

312

A Radial Basis Function Approach to Financial Time Series Analysis  

E-Print Network (OSTI)

Nonlinear multivariate statistical techniques on fast computers offer the potential to capture more of the dynamics of the high dimensional, noisy systems underlying financial markets than traditional models, while ...

Hutchinson, James M.

1993-12-01T23:59:59.000Z

313

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. ... Total Primary Energy Consumption (Quadrillion Btu) Loading ...

314

Statistical Problems in DNA Microarray Data Analysis  

E-Print Network (OSTI)

base pairs. Each simulated data set contained one array. Thebase pair. Each simulated data set contained one array. Theprocedure for various data sets. True positive and false

Wang, Nancy Naichao

2009-01-01T23:59:59.000Z

315

Statistical Analysis of Historical Climate Data Sets  

Science Conference Proceedings (OSTI)

The problem of determining confidence intervals for climatic signals using data sets with spatial and temporal sampling inhomogeneities is solved by a four-step process. First, the actual data set is analysed to determine autoregressive models ...

Curtis D. Mobley; Rudolph W. Preisendorfer

1985-06-01T23:59:59.000Z

316

Transportation Statistics Analysis for Electric Transportation  

Science Conference Proceedings (OSTI)

Plug-in Electric Vehicles (PEVs) are still in the initial stages of deployment in the American vehicle market. Much of the currently available data on PEVs is from special applications and early adopters. EPRI has analyzed existing transportation data on conventional vehicles from the National Household Travel Survey (NHTS) to study the potential long-term patterns of PEV use. This study used the NHTS data to investigate several aspects of potential PEV usage patterns and their effects on U.S. electric l...

2011-12-21T23:59:59.000Z

317

Comparing Reanalyses Using Analysis Increment Statistics  

Science Conference Proceedings (OSTI)

Reanalysis data are an important source of information for hydrometeorology applications, which use data assimilation to combine an imperfect atmospheric model with uncertain observations. However, uncertainty estimates are not normally provided ...

Jean Fitzmaurice; Rafael L. Bras

2008-12-01T23:59:59.000Z

318

A Statistical Analysis of Tropical Cyclone Intensity  

Science Conference Proceedings (OSTI)

Cumulative distribution functions (CDFs) of tropical cyclone wind speeds are calculated using best track data from the North Atlantic and western North Pacific basins. Wind speeds are normalized by theoretical potential wind speeds derived from ...

Kerry Emanuel

2000-04-01T23:59:59.000Z

319

Statistical Analysis of Coarsening of Complex Microstructures ...  

Science Conference Proceedings (OSTI)

Materials Genomics Past & Future: From CALPHAD to Flight · Microstructure Stability of Multi-Materials Systems with Adaptive Microstructures · Modeling of ...

320

Statistical aging analysis with process variation consideration  

Science Conference Proceedings (OSTI)

As CMOS devices become smaller, process and aging variations become a major issue for circuit reliability and yield. In this paper, we analyze the effects of process variations on aging effects such as hot carrier injection (HCI) and negative bias temperature ... Keywords: HCI, NBTI, aging variation, process variation, reliability

Sangwoo Han; Joohee Choung; Byung-Su Kim; Bong Hyun Lee; Hungbok Choi; Juho Kim

2011-11-01T23:59:59.000Z

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.


321

International petroleum statistics report  

SciTech Connect

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

322

International petroleum statistics report  

SciTech Connect

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

323

and Price Statistics  

E-Print Network (OSTI)

This report is part of an annual series that presents current and historical information on the production, trade, consumption, and prices of timber products in the United States. The report focuses on national statistics, but includes some data for individual States and regions and for Canada. The data were collected from industry trade associations and government agencies. They are intended for use by forest land managers, forest industries, trade associations, forestry schools, renewable resource organizations, libraries, organizations, individuals in the major timber producing and consuming countries of the world, and the general public. A major use of the data presented here is tracking technological change over time. One of the major technology shifts occurring in the wood-using industry is the substitution of oriented strandboard (OSB) for plywood in the structural panel sector, as well as a shift in plywood production from the west to the south United States. Some data show these shifts. United States production of structural panels totaled 29.4 billion ft in 1999. Production of OSB increased from less than 3 billion ft in 1985 to 11.6 billion ft in 1999. Plywood production was 20.1 billion ft in 1985 before falling to 17.8 billion ft in 1999. The decline in plywood production reflects the continued increase in the OSB share of the traditional plywood market

United States; Forest Service; James L. Howard Abstract

2001-01-01T23:59:59.000Z

324

Statistics and secret leakage  

Science Conference Proceedings (OSTI)

In addition to its usual complexity assumptions, cryptography silently assumes that information can be physically protected in a single location. As one can easily imagine, real-life devices are not ideal and information may leak through different physical ... Keywords: Cryptography, side-channel analysis

Jean-Sebastien Coron; David Naccache; Paul Kocher

2004-08-01T23:59:59.000Z

325

Angular-momentum nonclassicality by breaking classical bounds on statistics  

SciTech Connect

We derive simple practical procedures revealing the quantum behavior of angular momentum variables by the violation of classical upper bounds on the statistics. Data analysis is minimum and definite conclusions are obtained without evaluation of moments, or any other more sophisticated procedures. These nonclassical tests are very general and independent of other typical quantum signatures of nonclassical behavior such as sub-Poissonian statistics, squeezing, or oscillatory statistics, being insensitive to the nonclassical behavior displayed by other variables.

Luis, Alfredo [Departamento de Optica, Facultad de Ciencias Fisicas, Universidad Complutense, E-28040 Madrid (Spain); Rivas, Angel [Departamento de Fisica Teorica I, Facultad de Ciencias Fisicas, Universidad Complutense, E-28040 Madrid (Spain)

2011-10-15T23:59:59.000Z

326

5. Natural Gas Liquids Statistics  

U.S. Energy Information Administration (EIA)

5. Natural Gas Liquids Statistics Natural Gas Liquids Proved Reserves U.S. natural gas liquids proved reserves decreased 7 percent to 7,459 million ...

327

The systematic design of control systems for large multivariable linear time-invariant systems  

Science Conference Proceedings (OSTI)

A systematic design procedure for determining realistic feedforward-feedback control systems for large multivariable linear constant systems is outlined in this paper. A numerical example of a boiler system and a distillation column is included and a ...

E. J. Davison

1973-07-01T23:59:59.000Z

328

Design of decentralized multivariable excitation controllers in multimachine power systems by projective controls  

Science Conference Proceedings (OSTI)

A methodology for the design of decentralized multivariable excitation and controllers in multimachine power systems is developed using projective controls. The existing methodology, is extended to permit the coordinated design of AVR and PSS controllers in power systems.

Arnautovic, D.; Medanic, J.

1987-12-01T23:59:59.000Z

329

Applying brain emotional learning algorithm for multivariable control of HVAC systems  

Science Conference Proceedings (OSTI)

In this paper, we apply a modified version of Brain Emotional Learning (BEL) controller for Heating, Ventilating and Air Conditioning (HVAC) control system whose multivariable, nonlinear and non-minimum phase nature makes the task difficult. The proposed ...

N. Sheikholeslami; D. Shahmirzadi; E. Semsar; C. Lucas; M. J. Yazdanpanah

2006-01-01T23:59:59.000Z

330

Algorithms and inference for simultaneous-event multivariate point-process, with applications to neural data  

E-Print Network (OSTI)

The formulation of multivariate point-process (MPP) models based on the Jacod likelihood does not allow for simultaneous occurrence of events at an arbitrarily small time resolution. In this thesis, we introduce two versatile ...

Ba, Demba Elimane

2011-01-01T23:59:59.000Z

331

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

332

On the Mapping of Multivariate Geophysical Fields: Sensitivities to Size, Scales, and Dynamics  

Science Conference Proceedings (OSTI)

The effects of a priori parameters on the error subspace estimation and mapping methodology introduced by P. F. J. Lermusiaux et al. is investigated. The approach is three-dimensional, multivariate, and multiscale. The sensitivities of the ...

P. F. J. Lermusiaux

2002-10-01T23:59:59.000Z

333

Nonlinear multivariable predictive control of an autothermal reforming reactor for fuel cell applications  

Science Conference Proceedings (OSTI)

In this work, we present a computationally efficient nonlinear multivariable predictive controller (NMPC) for an autothermal reforming (ATR) reactor. The proposed NMPC scheme is based on a fast reduced order nonlinear model and consists of three parts. ...

Yongyou Hu; Donald J. Chmielewski

2009-06-01T23:59:59.000Z

334

An Experiment in Two-Way Communication with a Multivariable Moored System in Coastal Waters  

Science Conference Proceedings (OSTI)

An experimental data acquisition system (telepack) was interfaced with a multivariable moored system in order to transmit physical and biooptical data from a coastal mooring site to a shore-based work station. The study site was located off the ...

T. D. Dickey; R. H. Douglass; D. Manov; D. Bogucki; P. C. Walker; P. Petrelis

1993-08-01T23:59:59.000Z

335

Terascale data organization for discovering multivariate climatic trends  

Science Conference Proceedings (OSTI)

Current visualization tools lack the ability to perform full-range spatial and temporal analysis on terascale scientific datasets. Two key reasons exist for this shortcoming: I/O and postprocessing on these datasets are being performed in suboptimal ... Keywords: MODIS, parallel I/O, query-driven visualization, temporal data analysis

Wesley Kendall; Markus Glatter; Jian Huang; Tom Peterka; Robert Latham; Robert Ross

2009-11-01T23:59:59.000Z

336

Design and Analysis of Salmonid Tagging Studies in the Columbia Basin. Volume III, Experiment Designs and Statistical Models to Estimate the Effect of Transportation on Survival of Columbia River System Salmonids.  

DOE Green Energy (OSTI)

Experiment designs to estimate the effect of transportation on survival and return rates of Columbia River system salmonids are discussed along with statistical modeling techniques. Besides transportation, river flow and dam spill are necessary components in the design and analysis, otherwise questions as to the effects of reservoir drawdowns and increased dam spill may never be satisfactorily answered. Four criteria for comparing different experiment designs are: (1) feasibility; (2) clarity of results; (3) scope of inference; and (4) time to learn. A controlled experiment with treatments that are a combination of transport status (transported or left in-river), river flow level, and dam spill level should provide the clearest results of transport effect. The potential for bias due to interactions between year effects and the treatments is minimized by running as many treatments as possible within a single outmigration year. Relatedly, the most rapid learning will occur if several different treatments are implemented at randomly chosen time periods within thesame outmigration season. If the range of flow and dam manipulation includes scenarios of interest to managers, the scope of inference should be satisfactory. On the other hand these designs may be the least feasible; trying to manage the river system under a sequence of deliberately chosen flow regimes within a single season, for example, may be quite impractical. At the other end of the spectrum are designs that simply have two treatment combinations, transportation and being left in-river, and the influence of flow and spill are controlled for, if possible, in after-the-fact statistical analysis. Because of possible confounding influences of flow and spill on the transportation effect, these designs could yield the most ambiguous results and require the most years of experimentation to learn. If flows and spill are not manipulated in a planned, well defined, and impartial manner the scope and quality of inference may not be satisfactory. On the other hand, these designs are the simplest to implement. Implementation issues are: (1) The nature of flow and spill level manipulations will need clear definition, either in absolute terms, cfs, or relative terms, such as spilling 10% of the water. (2) Relatedly, system wide implementation of flow and spill levels will provide simpler interpretation of results than will mixing spill rates, for instance, between dams. Transporting fish from just one location will also simplify interpretation. (3) Tagging of experimental fish should be done well upstream of the dams with random assignment to transport or in-river groups done later, near the dams, to minimize biases from delayed tagging mortality. (4) Tagging with PIT tags and CWTs in combination will provide evidence of any potential homing problems. (5) High PIT tag retention rates are important to minimizing potential analysis problems (thus on-going research to improve retention is vital). (6) Approximate sample sizes to achieve a desired level of precision can be calculated fairly easily using formulas provided in the report.

Newman, Ken

1997-06-01T23:59:59.000Z

337

Vortex methods and vortex statistics  

SciTech Connect

Vortex methods originated from the observation that in incompressible, inviscid, isentropic flow vorticity (or, more accurately, circulation) is a conserved quantity, as can be readily deduced from the absence of tangential stresses. Thus if the vorticity is known at time t = 0, one can deduce the flow at a later time by simply following it around. In this narrow context, a vortex method is a numerical method that makes use of this observation. Even more generally, the analysis of vortex methods leads, to problems that are closely related to problems in quantum physics and field theory, as well as in harmonic analysis. A broad enough definition of vortex methods ends up by encompassing much of science. Even the purely computational aspects of vortex methods encompass a range of ideas for which vorticity may not be the best unifying theme. The author restricts himself in these lectures to a special class of numerical vortex methods, those that are based on a Lagrangian transport of vorticity in hydrodynamics by smoothed particles (``blobs``) and those whose understanding contributes to the understanding of blob methods. Vortex methods for inviscid flow lead to systems of ordinary differential equations that can be readily clothed in Hamiltonian form, both in three and two space dimensions, and they can preserve exactly a number of invariants of the Euler equations, including topological invariants. Their viscous versions resemble Langevin equations. As a result, they provide a very useful cartoon of statistical hydrodynamics, i.e., of turbulence, one that can to some extent be analyzed analytically and more importantly, explored numerically, with important implications also for superfluids, superconductors, and even polymers. In the authors view, vortex ``blob`` methods provide the most promising path to the understanding of these phenomena.

Chorin, A.J.

1993-05-01T23:59:59.000Z

338

Parallels between Statistical Issues in Medical and Meteorological Experimentation  

Science Conference Proceedings (OSTI)

The methodology of experimentation, randomization, and statistical analysis in weather modification has many parallels in clinical trials, such as the need for randomization, and the question of inclusion or exclusion of units assigned to be ...

K. Ruben Gabriel

2000-11-01T23:59:59.000Z

339

A Statistically Derived Prediction Procedure for Tropical Storm Formation  

Science Conference Proceedings (OSTI)

A statistical forecasting experiment was performed to test the capability of predictors derived from observational data (analysis) fields at 950, 700, 500 and 200 mb to forecast tropical storm formation (genesis). National Oceanographic and ...

Thomas J. Perrone; Paul R. Lowe

1986-01-01T23:59:59.000Z

340

Seasonality in Southern Hemisphere Eddy Statistics at 500 mb  

Science Conference Proceedings (OSTI)

An analysis has been made of the spatial and frequency dependence of transient eddy statistics in the Southern Hemisphere at 500 mb. This study emphasizes summer versus winter differences in order to complement previous results of Trenberth (1981)...

Kevin E. Trenberth

1982-11-01T23:59:59.000Z

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

Observations of Steep Wave Statistics in Open Ocean Waters  

Science Conference Proceedings (OSTI)

A new wavelet analysis methodology is proposed to estimate the statistics of steep waves. The method is applied to open ocean wave height data from the Southern Ocean Waves Experiment (1992) and from a field experiment conducted at Duck, North ...

Nicholas Scott; Tetsu Hara; Edward J. Walsh; Paul A. Hwang

2005-03-01T23:59:59.000Z

342

A Statistical Method for Forecasting Rainfall over Puerto Rico  

Science Conference Proceedings (OSTI)

Using results from a factor analysis regionalization of nontropical storm convective rainfall over the island of Puerto Rico, a statistical methodology is investigated for its potential to forecast rain events over limited areas. Island ...

M. M. Carter; J. B. Elsner

1997-09-01T23:59:59.000Z

343

Measurements of Lagrangian Atmospheric Dispersion Statistics over Open Water  

Science Conference Proceedings (OSTI)

Atmospheric dispersion statistics in the Lagrangian frame have been evaluated over open water by using a double-theodolite system to track neutrally buoyant balloons released a few kilometers off-shore during onshore winds. Analysis of the ...

C. M. Sheih; P. Frenzen; R. L. Hart

1980-05-01T23:59:59.000Z

344

Correspondence Analysis, with Special Attention to the Analysis of Panel Data and Event History Data  

E-Print Network (OSTI)

1985. "Homogeneity Analysis of Event History Data." Methodswith Statistical Event History Analysis We now compareM C A of event history analysis with statistical approaches,

Heyden, Peter van der; Leeuw, Jan de

1989-01-01T23:59:59.000Z

345

Statistics of Extreme Waves in Random Media  

E-Print Network (OSTI)

Waves traveling through random media exhibit random focusing that leads to extremely high wave intensities even in the absence of nonlinearities. Although such extreme events are present in a wide variety of physical systems and the statistics of the highest waves is important for their analysis and forecast, it remains poorly understood in particular in the regime where the waves are highest. We suggest a new approach that greatly simplifies the mathematical analysis and calculate the scaling and the distribution of the highest waves valid for a wide range of parameters.

Jakob J. Metzger; Ragnar Fleischmann; Theo Geisel

2013-11-18T23:59:59.000Z

346

The Navy's Operational Atmospheric Analysis  

Science Conference Proceedings (OSTI)

In January of 1988, significant upgrades were made to the Navy Operational Global Atmospheric Prediction System (NOGAPS). Among these improvements was the implementation of a multivariate optimum interpolation analysis scheme. Since that time, ...

James S. Goerss; Patricia A. Phoebus

1992-06-01T23:59:59.000Z

347

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... Total Non-Hydro Renewable Electricity Net Generation ...

348

Mathematics, Statistics and Computational Science at NIST  

Science Conference Proceedings (OSTI)

Math, Statistics, and Computational Science. ... at NIST related to applied mathematics, statistics, and ... NIST/SEMATECH Handbook, NIST/SEMATECH ...

2012-11-06T23:59:59.000Z

349

High Performance Multivariate Visual Data Exploration for Extremely Large Data  

SciTech Connect

One of the central challenges in modern science is the need to quickly derive knowledge and understanding from large, complex collections of data. We present a new approach that deals with this challenge by combining and extending techniques from high performance visual data analysis and scientific data management. This approach is demonstrated within the context of gaining insight from complex, time-varying datasets produced by a laser wakefield accelerator simulation. Our approach leverages histogram-based parallel coordinates for both visual information display as well as a vehicle for guiding a data mining operation. Data extraction and subsetting are implemented with state-of-the-art index/query technology. This approach, while applied here to accelerator science, is generally applicable to a broad set of science applications, and is implemented in a production-quality visual data analysis infrastructure. We conduct a detailed performance analysis and demonstrate good scalability on a distributed memory Cray XT4 system.

Rubel, Oliver; Wu, Kesheng; Childs, Hank; Meredith, Jeremy; Geddes, Cameron G.R.; Cormier-Michel, Estelle; Ahern, Sean; Weber, Gunther H.; Messmer, Peter; Hagen, Hans; Hamann, Bernd; Bethel, E. Wes; Prabhat,

2008-08-22T23:59:59.000Z

350

Scientific statistics and graphics on the Macintosh  

SciTech Connect

In many organizations scientists have ready access to more than one computer, often both a workstation (e.g., SUN, HIP, SGI) as well as a Macintosh or other PC. The scientist commonly uses the work station for {open_quotes}number-crunching{close_quotes} and data analysis whereas the Macintosh is relegated to either word processing or serves as a {open_quotes}dumb terminal{close_quotes} to a larger mainframe computer. In an informal poll of the author`s colleagues, very few of them used their Macintoshes for either statistical analysis or for graphical data display. The author believes that this state of affairs is particularly unfortunate because over the last few years both the computational capability, and even more so, the software availability for the Macintosh have become quite formidable. In some instances, very powerful tools are now available on the Macintosh that may not exist (or be far too costly) on the so-called {open_quotes}high end{close_quotes} workstations. Many scientists are simply unaware of the wealth of extremely useful, {open_quotes}off-the-shelf{close_quote} software that already exists on the Macintosh for scientific graphical and statistical analysis. This paper is a very personal view illustrating several such software packages that have proved valuable in the author`s own work in the analysis and display of climatic datasets. It is not meant to be either an all-inclusive enumeration, nor is it to be taken as an endorsement of these products as the {open_quotes}best{close_quotes} of their class. Rather, it has been found, through extensive use that these few packages were generally capable of satisfying his particular needs for both statistical analysis and graphical data display. In the limited space available, the focus will be on some of the more novel features found to be of value.

Grotch, S.L.

1994-09-01T23:59:59.000Z

351

Multivariate methods for the integration and visualization of omics data  

Science Conference Proceedings (OSTI)

As the developments in high throughput technologies have become more common and accessible it is becoming usual to take several distinct simultaneous approaches to study the same problem. In practice, this means that data of different types (expression, ... Keywords: data integration, multiple factor analysis, omic data, visualization

Alex Sánchez; José Fernández-Real; Esteban Vegas; Francesc Carmona; Jacques Amar; Remy Burcelin; Matteo Serino; Francisco Tinahones; M. Carmen Ruíz de Villa; Antonio Minãrro; Ferran Reverter

2010-10-01T23:59:59.000Z

352

International Energy Statistics - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. ... Jordan ...

353

STATISTICAL MECHANICS AND FIELD THEORY  

E-Print Network (OSTI)

1. L. 1. Schiff, Quantum Mechanics, third edition (McGraw-two-dimensional quantum mechanics problem vith a potential,Theory Methods to Statistical Mechanics Chapter I The Use of

Samuel, S.A.

2010-01-01T23:59:59.000Z

354

Statistical Modeling in Nonlinear Systems  

Science Conference Proceedings (OSTI)

The use of linear statistical methods in building climate prediction models is examined, particularly the use of anomalies. The author’s perspective is that the climate system is a nonlinear interacting system, so the impact of modeling using ...

Edward P. Campbell

2005-08-01T23:59:59.000Z

355

Statistical Predictability of Decaying Turbulence  

Science Conference Proceedings (OSTI)

We use statistical models of turbulence with “eddy damping” (EDQNM) in order to study the problem of predictability of freely evolving two- and three-dimensional isotropic turbulent flows.

Olivier Métais; Marcel Lesieur

1986-05-01T23:59:59.000Z

356

Key China Energy Statistics 2011  

NLE Websites -- All DOE Office Websites (Extended Search)

1 Title Key China Energy Statistics 2011 Publication Type Chart Year of Publication 2012 Authors Levine, Mark D., David Fridley, Hongyou Lu, and Cecilia Fino-Chen Date Published...

357

Key China Energy Statistics 2012  

NLE Websites -- All DOE Office Websites (Extended Search)

2 Title Key China Energy Statistics 2012 Publication Type Chart Year of Publication 2012 Authors Levine, Mark D., David Fridley, Hongyou Lu, and Cecilia Fino-Chen Date Published...

358

statistics | OpenEI Community  

Open Energy Info (EERE)

Submitted by Rmckeel(287) Contributor 8 November, 2012 - 13:58 OpenEI dashboard Google Analytics mediawiki OpenEI statistics wiki OpenEI web traffic from Bangalore, India...

359

Topological Cacti: Visualizing Contour-based Statistics  

SciTech Connect

Contours, the connected components of level sets, play an important role in understanding the global structure of a scalar field. In particular their nestingbehavior and topology-often represented in form of a contour tree-have been used extensively for visualization and analysis. However, traditional contour trees onlyencode structural properties like number of contours or the nesting of contours, but little quantitative information such as volume or other statistics. Here we use thesegmentation implied by a contour tree to compute a large number of per-contour (interval) based statistics of both the function defining the contour tree as well asother co-located functions. We introduce a new visual metaphor for contour trees, called topological cacti, that extends the traditional toporrery display of acontour tree to display additional quantitative information as width of the cactus trunk and length of its spikes. We apply the new technique to scalar fields ofvarying dimension and different measures to demonstrate the effectiveness of the approach.

Weber, Gunther H.; Bremer, Peer-Timo; Pascucci, Valerio

2011-05-26T23:59:59.000Z

360

Delineation of Mesoscale Climate Zones in the Northeastern United States Using a Novel Approach to Cluster Analysis  

Science Conference Proceedings (OSTI)

Climate regions within the northeastern United States are defined using a combination of multivariate statistical techniques. A set of over 100 climatic variables from 641 United States and Canadian Cooperative Observer Network stations form the ...

Arthur T. Degaetano

1996-08-01T23:59:59.000Z

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.


361

Wave–Mean Flow Statistics  

Science Conference Proceedings (OSTI)

A relation between the statistics of large-scale waves and the mean flow is derived from the potential enstrophy equations integrated over an isobaric surface. The difference between time-averaged zonal-mean state and the radiative-dynamical ...

Mark R. Schoeberl

1982-10-01T23:59:59.000Z

362

Statistics: The Compass for Navigating  

E-Print Network (OSTI)

/deluge/avalanche of data #12;Demand 2011 McKinsey Global Institute report: Big data: The next frontier for innovation expertise in statistics and data mining. . . a talent gap of 140K - 190K positions in 2018 (in the US)" http://www.mckinsey

Davidian, Marie

363

Median statistics cosmological parameter values  

E-Print Network (OSTI)

We present median statistics central values and ranges for 12 cosmological parameters, using 582 measurements (published during 1990-2010) collected by Croft & Dailey (2011). On comparing to the recent Planck collaboration Ade et al. 2013 estimates of 11 of these parameters, we find good consistency in nine cases.

Crandall, Sara

2013-01-01T23:59:59.000Z

364

Research methods and statistical techniques employed by doctoral dissertations in education.  

E-Print Network (OSTI)

??This study aimed to provide an understanding of the current state of research methods and statistical analysis in doctoral dissertations that were conducted in the… (more)

Alanazy, Salim Mubarak

2011-01-01T23:59:59.000Z

365

On the ability of Order Statistics to distinguish different models for continuum gamma decay  

SciTech Connect

A simulation procedure to calculate some important parameters to the application of Order Statistics in the analysis of continuum gamma decay is presented.

Sandoval, J. J.; Cristancho, F. [Departamento de Fisica, Universidad Nacional de Colombia, Bogota (Colombia); Centro Internacional de Fisica, Bogota (Colombia)

2007-10-26T23:59:59.000Z

366

Classification of Multivariate Time Series and Structured Data Using Constructive Induction  

Science Conference Proceedings (OSTI)

We present a method of constructive induction aimed at learning tasks involving multivariate time series data. Using metafeatures, the scope of attribute-value learning is expanded to domains with instances that have some kind of recurring substructure, ... Keywords: constructive induction, propositionalisation, substructure, time series

Mohammed Waleed Kadous; Claude Sammut

2005-02-01T23:59:59.000Z

367

An animated multivariate visualization for physiological and clinical data in the ICU  

Science Conference Proceedings (OSTI)

Current visualizations of electronic medical data in the Intensive Care Unit (ICU) consist of stacked univariate plots of variables over time and a tabular display of the current numeric values for the corresponding variables and occasionally an alarm ... Keywords: computational physiology, information visualization, multivariate, time series

Patricia Ordóñez; Marie desJardins; Michael Lombardi; Christoph U. Lehmann; Jim Fackler

2010-11-01T23:59:59.000Z

368

A Local Model Networks Based Multivariable Long-Range Predictive Control Strategy for Thermal Power Plants  

Science Conference Proceedings (OSTI)

Load-cycling operation of thermal power plants leads to changes in operating point right across the whole operating range. This results in non-linear variations in most of the plant variables. This paper investigates methods to account for non-linearities ... Keywords: Constrained multivariable control, local model networks, long range predictive control, thermal power plant boiler

G. PRASAD; E. SWIDENBANK; B. W. HOGG

1998-10-01T23:59:59.000Z

369

Supersonic combustion studies using a multivariate quadrature based method for combustion modeling  

E-Print Network (OSTI)

Supersonic combustion studies using a multivariate quadrature based method for combustion modeling function (PDF) of thermochemical variables can be used for accurately computing the combustion source term of predictive models for supersonic combustion is a critical step in design and development of scramjet engines

Raman, Venkat

370

On simulating multivariate non-normal distributions from the generalized lambda distribution  

Science Conference Proceedings (OSTI)

The class of generalized lambda distributions (GLDs) is primarily used for modeling univariate real-world data. The GLD has not been as popular as some other methods for simulating observations from multivariate distributions because of computational ... Keywords: Correlated data, Generalized lambda distribution, Moments, Simulation

Todd C. Headrick; Abdel Mugdadi

2006-07-01T23:59:59.000Z

371

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

372

Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive Bayesian classification  

Science Conference Proceedings (OSTI)

Averaged n-Dependence Estimators (AnDE) is an approach to probabilistic classification learning that learns by extrapolation from marginal to full-multivariate probability distributions. It utilizes a single parameter that transforms ... Keywords: Averaged one-dependence estimators, Bayesian learning, Classification learning, Ensemble learning, Feating, Learning without model selection, Naive Bayes, Probabilistic learning, Semi-naive Bayesian learning

Geoffrey I. Webb; Janice R. Boughton; Fei Zheng; Kai Ming Ting; Houssam Salem

2012-02-01T23:59:59.000Z

373

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

Rizvi, Syed Z.

374

Nonlinear controller optimization of a power system based on reduced multivariate polynomial model  

Science Conference Proceedings (OSTI)

This paper describes the design of a nonlinear controller in a power system by using the reduced multivariate polynomial (RMP) optimization algorithm with the one-shot training property. The RMP model is applied to estimate its Hessian matrix in addition ...

Seung-Mook Baek; Jung-Wook Park

2009-06-01T23:59:59.000Z

375

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

> Countries > International Energy Statistics: International Energy Statistics; Petroleum. Production| ... Germany 165.6 120.4 124.9 133.1 ...

376

VTPI-Transportation Statistics | Open Energy Information  

Open Energy Info (EERE)

VTPI-Transportation Statistics Jump to: navigation, search Name VTPI-Transportation Statistics AgencyCompany Organization Victoria Transportation Policy Institute Focus Area...

377

Workforce Statistics - NNSA | National Nuclear Security Administration  

National Nuclear Security Administration (NNSA)

Statistics - NNSA Workforce Statistics - NNSA NNSA FY13 NNSA Semi Annual Workforce Diversity Report NNSA-Wide Year End Workforce Diversity Report FY12 NNSA Semi Annual Workforce...

378

MATH 496: Computational Biology ? Algebraic Statistical ... - CECM  

E-Print Network (OSTI)

MATH 496: Computational Biology ? Algebraic Statistical Model. 4. Log-linear Algebraic statistical Model : Part A: Introduction. 1. Definition: Let A = ( ) be a ...

379

The OVIS analysis architecture.  

SciTech Connect

This report summarizes the current statistical analysis capability of OVIS and how it works in conjunction with the OVIS data readers and interpolators. It also documents how to extend these capabilities. OVIS is a tool for parallel statistical analysis of sensor data to improve system reliability. Parallelism is achieved using a distributed data model: many sensors on similar components (metaphorically sheep) insert measurements into a series of databases on computers reserved for analyzing the measurements (metaphorically shepherds). Each shepherd node then processes the sheep data stored locally and the results are aggregated across all shepherds. OVIS uses the Visualization Tool Kit (VTK) statistics algorithm class hierarchy to perform analysis of each process's data but avoids VTK's model aggregation stage which uses the Message Passing Interface (MPI); this is because if a single process in an MPI job fails, the entire job will fail. Instead, OVIS uses asynchronous database replication to aggregate statistical models. OVIS has several additional features beyond those present in VTK that, first, accommodate its particular data format and, second, improve the memory and speed of the statistical analyses. First, because many statistical algorithms are multivariate in nature and sensor data is typically univariate, interpolation of data is required to provide simultaneous observations of metrics. Note that in this report, we will refer to a single value obtained from a sensor as a measurement while a collection of multiple sensor values simultaneously present in the system is an observation. A base class for interpolation is provided that abstracts the operation of converting multiple sensor measurements into simultaneous observations. A concrete implementation is provided that performs piecewise constant temporal interpolation of multiple metrics across a single component. Secondly, because calculations may summarize data too large to fit in memory OVIS analyses batches of observations at a time and aggregates these intermediate intra-process models as it goes before storing the final model for inter-process aggregation via database replication. This reduces the memory footprint of the analysis, interpolation, and the database client and server query processing. This also interleaves processing with the disk I/O required to fetch data from the database - also improving speed. This report documents how OVIS performs analyses and how to create additional analysis components that fetch measurements from the database, perform interpolation, or perform operations on streamed observations (such as model updates or assessments). The rest of this section outlines the OVIS analysis algorithm and is followed by sections specific to each subtask. Note that we are limiting our discussion for now to the creation of a model from a set of measurements, and not including the assessment of observations using a model. The same framework can be used for assessment but that use case is not detailed in this report.

Mayo, Jackson R.; Gentile, Ann C.; Brandt, James M.; De Sapio, Vincent; Thompson, David C.; Roe, Diana C.; Wong, Matthew H.; Pebay, Philippe Pierre

2010-07-01T23:59:59.000Z

380

Project: Wind Engineering and Multi-Hazard Failure Analysis  

Science Conference Proceedings (OSTI)

... existing data, and spatial statistics, to develop ... perform comprehensive review and statistical analysis of ... Speeds for Nuclear Power Plants (2011). ...

2013-01-02T23:59:59.000Z

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

The exact distribution of the maximum, minimum and the range of Multinomial/Dirichlet and Multivariate Hypergeometric frequencies  

Science Conference Proceedings (OSTI)

The exact distribution of the maximum and minimum frequencies of Multinomial/Dirichlet and Multivariate Hypergeometric distributions of n balls in m urns is compactly represented as a product of stochastic matrices. This representation ... Keywords: Dirichlet multinomial, Multinomial maximum, minimum, range, Multinomial outliers, inliers, Multivariate hypergeometric, Stochastic matrix

Charles J. Corrado

2011-07-01T23:59:59.000Z

382

Multivariable analysis of spectral measurements for the characterization of semiconductor processes  

E-Print Network (OSTI)

The availability of affordable and reliable optical sensor technology and the abundance of data that these sensors now provide have created new opportunities to better characterize and control semiconductor processes in ...

White, David A. (David Allan), 1966-

2001-01-01T23:59:59.000Z

383

Coherence-based multivariate analysis of high frequency stock market values  

E-Print Network (OSTI)

The paper tackles the problem of deriving a topological structure among stock prices from high frequency historical values. Similar studies using low frequency data have already provided valuable insights. However, in those cases data need to be collected for a longer period and then they have to be detrended. An effective technique based on averaging a metric function on short subperiods of the observation horizon is suggested. Since a standard correlation-based metric is not capable of catching dependencies at different time instants, it is not expected to perform the best when dealing with high frequency data. Hence, the choice of a more suitable metric is discussed. In particular, a coherence-based metric is proposed, for it is able to detect any possible linear relation between two times series, even at different time instants. The averaging technique is employed to analyze a set of 100 high volume stocks of the New York Stock Exchange, observed during March 2008.

Donatello Materassi; Giacomo Innocenti

2008-05-18T23:59:59.000Z

384

Competition and Prices in the Deregulated Gas Pipeline Network: A Multivariate Cointegration Analysis  

E-Print Network (OSTI)

of spot markets located on NGPL’s pipeline system in fiveI-Iouston/Katy Florida Gas NGPL Tennessee Texas EasternNorth Texas--Paahandle ANl~ NGPL Northern Panhandle Eastern

Walls, W. David

1993-01-01T23:59:59.000Z

385

Multivariate analysis of heat transfer and pressure drop in finned tube bundles.  

E-Print Network (OSTI)

?? The exhaust gas from gas turbines contains a large amount of heat that can be utilized for process purposes or for further power generation.… (more)

Feten, Tor Gunnar Fjelde

2013-01-01T23:59:59.000Z

386

A Relation Between the Exoplanets and Their Host Stars Based on Multivariate Analysis  

E-Print Network (OSTI)

nd its exoplnetF etion Q is devoted to the pplition of the sttistil methodologies to the nlE ysis of the easiest ways to search for univariate outliers in a data set is to use descriptive methods through Keck, Lick, and AAT Planet Search Programs", ApJS, 159, 141{166. Vogt, S. S., Butler, R. P., Marcy, G

Babu, G. Jogesh

387

Precipitation Estimation in Mountainous Terrain Using Multivariate Geostatistics. Part I: Structural Analysis  

Science Conference Proceedings (OSTI)

Values of average annual precipitation (AAP) are desired for hydrologic studies within a watershed containing Yucca Mountain, Nevada, a potential site for a high-level nuclear-waste repository. Reliable values of AAP are not yet available for ...

Joseph A. Hevesi; Jonathan D. Istok; Alan L. Flint

1992-07-01T23:59:59.000Z

388

REGIONAL SCALE RAINY SEASON ONSET DETECTION: A NEW APPROACH BASED ON MULTIVARIATE ANALYSIS  

Science Conference Proceedings (OSTI)

In agroclimatology, the rainy season onset and cessation dates are often defined from a combination of several empirical rainfall thresholds. For example, the onset may be the first wet day of N consecutive days receiving at least P mm without a ...

Joseph Boyard-Micheau; Pierre Camberlin; Nathalie Philippon; Vincent Moron

389

Competition and Prices in the Deregulated Gas Pipeline Network: A Multivariate Cointegration Analysis  

E-Print Network (OSTI)

in the long run. For example, gas prices stochastically inin this paper to anMyzenatural gas prices in the deregulatedthat all of the natural gas price series analyzed are I(1).

Walls, W. David

1993-01-01T23:59:59.000Z

390

A Unified Analysis-Initialization Technique  

Science Conference Proceedings (OSTI)

A unified analysis-initialization technique is introduced and tested in the framework of the shallow water equations. It consists of iterating multivariate optimal interpolation and nonlinear normal mode initialization. For extratropical regions, ...

David L. Williamson; Roger Daley

1983-08-01T23:59:59.000Z

391

Statistical Physics Approaches to Seismicity  

E-Print Network (OSTI)

This entry in the Encyclopedia of Complexity and Systems Science, Springer present a summary of some of the concepts and calculational tools that have been developed in attempts to apply statistical physics approaches to seismology. We summarize the leading theoretical physical models of the space-time organization of earthquakes. We present a general discussion and several examples of the new metrics proposed by statistical physicists, underlining their strengths and weaknesses. The entry concludes by briefly outlining future directions. The presentation is organized as follows. I Glossary II Definition and Importance of the Subject III Introduction IV Concepts and Calculational Tools IV.1 Renormalization, Scaling and the Role of Small Earthquakes in Models of Triggered Seismicity IV.2 Universality IV.3 Intermittent Periodicity and Chaos IV.4 Turbulence IV.5 Self-Organized Criticality V Competing mechanisms and models V.1 Roots of complexity in seismicity: dynamics or heterogeneity? V.2 Critical earthquakes ...

Sornette, D

2008-01-01T23:59:59.000Z

392

Energy Statistics: Third Quarter, 1985  

Science Conference Proceedings (OSTI)

Third quarter energy statistics expand the coverage of gas prices from the wellhead to the end users by adding city gate gas prices. In addition to general energy production and consumption data, the report includes information on natural gas, gas liquids, oil, coal, peat, electricity, and uranium. A table of heating values and several tables summarizing US prices and business indicators complete the report. 87 tables.

Not Available

1985-01-01T23:59:59.000Z

393

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Germany 279 284 287 281 287 Greece ...

394

CPE - Common Platform Enumeration Dictionary Statistics  

Science Conference Proceedings (OSTI)

Official Common Platform Enumeration (CPE) Dictionary Statistics. CPE is a structured naming scheme for information technology ...

395

2008 world direct reduction statistics  

SciTech Connect

This supplement discusses total direct reduced iron (DRI) production for 2007 and 2008 by process. Total 2008 production by MIDREX(reg sign) direct reduction process plants was over 39.8 million tons. The total of all coal-based processes was 17.6 million tons. Statistics for world DRI production are also given by region for 2007 and 2008 and by year (1970-2009). Capacity utilization for 2008 by process is given. World DRI production by region and by process is given for 1998-2008 and world DRI shipments are given from the 1970s to 2008. A list of world direct reduction plants is included.

NONE

2009-07-01T23:59:59.000Z

396

Transportation Statistics Annual Report 1997  

SciTech Connect

This document is the fourth Transportation Statistics Annual Report (TSAR) prepared by the Bureau of Transportation Statistics (BTS) for the President and Congress. As in previous years, it reports on the state of U.S. transportation system at two levels. First, in Part I, it provides a statistical and interpretive survey of the system—its physical characteristics, its economic attributes, aspects of its use and performance, and the scale and severity of unintended consequences of transportation, such as fatalities and injuries, oil import dependency, and environment impacts. Part I also explores the state of transportation statistics, and new needs of the rapidly changing world of transportation. Second, Part II of the report, as in prior years, explores in detail the performance of the U.S. transportation system from the perspective of desired social outcomes or strategic goals. This year, the performance aspect of transportation chosen for thematic treatment is “Mobility and Access,” which complements past TSAR theme sections on “The Economic Performance of Transportation” (1995) and “Transportation and the Environment” (1996). Mobility and access are at the heart of the transportation system’s performance from the user’s perspective. In what ways and to what extent does the geographic freedom provided by transportation enhance personal fulfillment of the nation’s residents and contribute to economic advancement of people and businesses? This broad question underlies many of the topics examined in Part II: What is the current level of personal mobility in the United States, and how does it vary by sex, age, income level, urban or rural location, and over time? What factors explain variations? Has transportation helped improve people’s access to work, shopping, recreational facilities, and medical services, and in what ways and in what locations? How have barriers, such as age, disabilities, or lack of an automobile, affected these accessibility patterns? How are commodity flows and transportation services responding to global competition, deregulation, economic restructuring, and new information technologies? How do U.S. patterns of personal mobility and freight movement compare with other advanced industrialized countries, formerly centrally planned economies, and major newly industrializing countries? Finally, how is the rapid adoption of new information technologies influencing the patterns of transportation demand and the supply of new transportation services? Indeed, how are information technologies affecting the nature and organization of transportation services used by individuals and firms?

Fenn, M.

1997-01-01T23:59:59.000Z

397

Statistical Mechanics of Dictionary Learning  

E-Print Network (OSTI)

Finding a basis matrix (dictionary) by which objective signals are represented sparsely is of major relevance in various scientific and technological fields. We consider a problem to learn a dictionary from a set of training signals. We employ techniques of statistical mechanics of disordered systems to evaluate the size of the training set necessary to typically succeed in the dictionary learning. The results indicate that the necessary size is much smaller than previously estimated, which theoretically supports and/or encourages the use of dictionary learning in practical situations.

Sakata, Ayaka

2012-01-01T23:59:59.000Z

398

A Minimal Baroclinic Model for the Statistical Properties of Low-Frequency Variability  

Science Conference Proceedings (OSTI)

A recent analysis of atmospheric observations has shown evidence of bimodality in the statistical distribution of wave amplitude in the ultralong (zonal wavenumber group 2–4), low frequency (period >5 days). Similar analysis of the zonal wind and ...

R. Benzi; A. Speranza; A. Sutera

1986-12-01T23:59:59.000Z

399

Statistical Review of UK Residential Sector Electrical Loads  

E-Print Network (OSTI)

This paper presents a comprehensive statistical review of data obtained from a wide range of literature on the most widely used electrical appliances in the UK residential load sector. It focuses on individual appliances and begins by consideration of the electrical operations performed by the load. This approach allows for the loads to be categorised based on the electrical characteristics, and also provides information on the reactive power characteristics of the load, which is often neglected from standard consumption statistics. This data is particularly important for power system analysis. In addition to this, device ownership statistics and probability distribution functions of power demand are presented for the main residential loads. Although the data presented is primarily intended as a resource for the development of load profiles for power system analysis, it contains a large volume of information which provides a useful database for the wider research community.

Tsagarakis, G; Kiprakis, A E

2013-01-01T23:59:59.000Z

400

Solar-climatic statistical study  

DOE Green Energy (OSTI)

The Solar-Climatic Statistical Study was performed to provide statistical information on the expected future availability of solar and wind power at various nationwide sites. Historic data (SOLMET), at 26 National Weather Service stations reporting hourly solar insolation and collateral meteorological information, were interrogated to provide an estimate of future trends. Solar data are global radiation incident on a horizontal surface, and wind data represent wind power normal to the air flow. Selected insolation and wind power conditions were investigated for their occurrence and persistence, for defined periods of time, on a monthly basis. Information of this nature are intended as an aid to preliminary planning activities for the design and operation of solar and wind energy utilization and conversion systems. Presented in this volume are probability estimates of solar insolation and wind power, alone and in combination, occurring and persisting at or above specified thresholds, for up to one week, for each of the 26 SOLMET stations. Diurnal variations of wind power were also considered. Selected probability data for each station are presented graphically, and comprehensive plots for all stations are provided on a set of microfiche included in a folder in the back of this volume.

Bray, R.E.

1979-02-01T23:59:59.000Z

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.


401

Statistical Models for Next Generation Sequencing Data  

E-Print Network (OSTI)

Three statistical models are developed to address problems in Next-Generation Sequencing data. The first two models are designed for RNA-Seq data and the third is designed for ChIP-Seq data. The first of the RNA-Seq models uses a Bayesian non- parametric model to detect genes that are differentially expressed across treatments. A negative binomial sampling distribution is used for each gene’s read count such that each gene may have its own parameters. Despite the consequent large number of parameters, parsimony is imposed by a clustering inherent in the Bayesian nonparametric framework. A Bayesian discovery procedure is adopted to calculate the probability that each gene is differentially expressed. A simulation study and real data analysis show this method will perform at least as well as existing leading methods in some cases. The second RNA-Seq model shares the framework of the first model, but replaces the usual random partition prior from the Dirichlet process by a random partition 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 binding sites for ChIP-Seq data. An exact test via a stochastic approximation is used to test the hypothesis that the treatment effect is independent of the sequence count intensity effect. The sliding window procedure for ChIP-Seq data is followed. The p-value and the adjusted false discovery rate are calculated for each window. For the sites identified as peak regions, three candidate models are proposed for characterizing the bimodality of the ChIP-Seq data, and the stochastic approximation in Monte Carlo (SAMC) method is used for selecting the best of the three. Real data analysis shows that this method produces comparable results as other existing methods and is advantageous in identifying bimodality of the data.

Wang, Yiyi

2013-05-01T23:59:59.000Z

402

Applications of Computer Simulations and Statistical Mechanics in Surface Electrochemistry  

E-Print Network (OSTI)

We present a brief survey of methods that utilize computer simulations and quantum and statistical mechanics in the analysis of electrochemical systems. The methods, Molecular Dynamics and Monte Carlo simulations and quantum-mechanical density-functional theory, are illustrated with examples from simulations of lithium-battery charging and electrochemical adsorption of bromine on single-crystal silver electrodes.

P. A. Rikvold; I. Abou Hamad; T. Juwono; D. T. Robb; M. A. Novotny

2009-10-12T23:59:59.000Z

403

Statistical evaluation of coherence estimated from optimally beamformed signals  

Science Conference Proceedings (OSTI)

In this paper we investigate a situation where we want to perform a coherence analysis of two signal sources, one of which is measured directly, and the other is measured through a sensor array affected by noise. To extract the latter signal, we suggest ... Keywords: Beamforming, Cortico-muscular coherence, Magnitude squared coherence, Statistical distribution

Radoslav Bortel, Pavel Sovka

2013-09-01T23:59:59.000Z

404

Are Precipitation Levels Getting Higher? Statistical Evidence for the Netherlands  

Science Conference Proceedings (OSTI)

One of the possible consequences of global warming is that there will be more days with precipitation throughout the year, and also that the level of precipitation will be higher. In this paper a detailed statistical analysis of a century of ...

Alex J. Koning; Philip Hans Franses

2005-11-01T23:59:59.000Z

405

Statistical Inference in Inverse Problems  

E-Print Network (OSTI)

Inverse problems have gained popularity in statistical research recently. This dissertation consists of two statistical inverse problems: a Bayesian approach to detection of small low emission sources on a large random background, and parameter estimation methods for partial differential equation (PDE) models. Source detection problem arises, for instance, in some homeland security applications. We address the problem of detecting presence and location of a small low emission source inside an object, when the background noise dominates. The goal is to reach the signal-to-noise ratio levels on the order of 10^-3. We develop a Bayesian approach to this problem in two-dimension. The method allows inference not only about the existence of the source, but also about its location. We derive Bayes factors for model selection and estimation of location based on Markov chain Monte Carlo simulation. A simulation study shows that with sufficiently high total emission level, our method can effectively locate the source. Differential equation (DE) models are widely used to model dynamic processes in many fields. The forward problem of solving equations for given parameters that define the DEs has been extensively studied in the past. However, the inverse problem of estimating parameters based on observed state variables is relatively sparse in the statistical literature, and this is especially the case for PDE models. We propose two joint modeling schemes to solve for constant parameters in PDEs: a parameter cascading method and a Bayesian treatment. In both methods, the unknown functions are expressed via basis function expansion. For the parameter cascading method, we develop the algorithm to estimate the parameters and derive a sandwich estimator of the covariance matrix. For the Bayesian method, we develop the joint model for data and the PDE, and describe how the Markov chain Monte Carlo technique is employed to make posterior inference. A straightforward two-stage method is to first fit the data and then to estimate parameters by the least square principle. The three approaches are illustrated using simulated examples and compared via simulation studies. Simulation results show that the proposed methods outperform the two-stage method.

Xun, Xiaolei

2012-05-01T23:59:59.000Z

406

Using linguistic knowledge in statistical machine translation  

E-Print Network (OSTI)

In this thesis, we present methods for using linguistically motivated information to enhance the performance of statistical machine translation (SMT). One of the advantages of the statistical approach to machine translation ...

Zbib, Rabih M. (Rabih Mohamed), 1974-

2010-01-01T23:59:59.000Z

407

Spatial Ontology in Factored Statistical Machine Translation  

Science Conference Proceedings (OSTI)

This paper presents a statistical phrase-based machine translation system which is enriched with semantic data coming from a spatial ontology. Paper presents the spatial ontology, how it is integrated in statistical machine translation system using factored ...

Raivis Skadi?š

2011-08-01T23:59:59.000Z

408

Statistics on pattern-avoiding permutations  

E-Print Network (OSTI)

This thesis concerns the enumeration of pattern-avoiding permutations with respect to certain statistics. Our first result is that the joint distribution of the pair of statistics 'number of fixed points' and 'number of ...

Elizalde, Sergi, 1979-

2004-01-01T23:59:59.000Z

409

Preprocessing based statistical segmentation of MRA dataset  

Science Conference Proceedings (OSTI)

This paper describes a preprocessing mask technique based statistical mixture components segmentation method for extracting blood vessels from brain magnetic resonance angiography (MRA) dataset. The voxels whose intensity is high in the dataset belong ... Keywords: MIP, MRA, statistical segmentation

Fucang Jia; Shaorong Wang; Liyan Liu; Hua Li

2004-06-01T23:59:59.000Z

410

Statistics Education in the Atmospheric Sciences  

Science Conference Proceedings (OSTI)

Analyses of atmospheric sciences data and models are heavily dependent upon statistical and probabilistic reasoning. Statistical methods have played an important role in establishing physical relationships of atmosphere-ocean-land interactions ...

Timothy J. Brown; L. Mark Berliner; Daniel S. Wilks; Michael B. Richman; Christopher K. Wilke

1999-10-01T23:59:59.000Z

411

NIST/Sematech Engineering Statistics Handbook  

Science Conference Proceedings (OSTI)

NIST/SEMATECH Engineering Statistics Handbook. ... Case studies can be run from the handbook using the Dataplot software. ...

2013-11-01T23:59:59.000Z

412

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Total Primary Energy Consumption ; Indicators. CO2 Emissions ; Carbon Intensity ;

413

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Seoul: Ministry of Commerce, Industry, and Energy, Korea Energy Economics Institute, various issues. Electricity. Agency of Statistics, Republic of Kazakhstan: ...

414

Statistical Fingerprinting for Malware Detection and ...  

necessarily cause a statistical deviation from the baseline that can be detected (a "symptom" of the infection). Further, ...

415

Aggregation Of Uncertainty And Multivariate Dependence: The Value Of Pooling Of Inventories Under Non-Normal Dependent Demand  

E-Print Network (OSTI)

The multivariate convex order does not deal with variabilitydistributions, the f c order does not imply the f sm order,p. 39), as does the supermodular order (Müller and Scarsini

Corbett, Charles J.; Rajaram, Kumar

2011-01-01T23:59:59.000Z

416

Statistical mechanics and ocean circulation Rick Salmon  

E-Print Network (OSTI)

Statistical mechanics and ocean circulation Rick Salmon Scripps Institution of Oceanography, UCSD equilibrium statistical mechanics based upon the conservation of energy and potential enstrophy to the mass. The equilibrium state resembles the buoyancy structure actually observed. Key words: statistical mechanics, ocean

Salmon, Rick

417

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

418

Statistical Methods for Combining Measurements and Models, with Application  

NLE Websites -- All DOE Office Websites (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

419

Nonlinear Principal Component Analysis: Tropical Indo–Pacific Sea Surface Temperature and Sea Level Pressure  

Science Conference Proceedings (OSTI)

Nonlinear principal component analysis (NLPCA) is a generalization of traditional principal component analysis (PCA) that allows for the detection and characterization of low-dimensional nonlinear structure in multivariate datasets. The authors ...

Adam Hugh Monahan

2001-01-01T23:59:59.000Z

420

Pieter. M. Kroonenberg Data boxes: Analysis and history  

E-Print Network (OSTI)

at the esoteric description of my recently instituted chair, "Multivariate analysis, in particular of three is not nearly as esoteric as the rest of the world might think. More in particular, I will argue that scientific

Sidiropoulos, Nikolaos D.

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

Cluster Analysis of Multimodel Ensemble Data from SAMEX  

Science Conference Proceedings (OSTI)

Short-range ensemble forecasts from the Storm and Mesoscale Ensemble Experiment (SAMEX) are examined to explore the importance of model diversity in short-range ensemble forecasting systems. Two basic techniques from multivariate data analysis ...

Ahmad Alhamed; S. Lakshmivarahan; David J. Stensrud

2002-02-01T23:59:59.000Z

422

Statistics for characterizing data on the periphery  

SciTech Connect

We introduce a class of statistics for characterizing the periphery of a distribution, and show that these statistics are particularly valuable for problems in target detection. Because so many detection algorithms are rooted in Gaussian statistics, we concentrate on ellipsoidal models of high-dimensional data distributions (that is to say: covariance matrices), but we recommend several alternatives to the sample covariance matrix that more efficiently model the periphery of a distribution, and can more effectively detect anomalous data samples.

Theiler, James P [Los Alamos National Laboratory; Hush, Donald R [Los Alamos National Laboratory

2010-01-01T23:59:59.000Z

423

Is there a statistical mechanics of turbulence  

SciTech Connect

The statistical-mechanical treatment of turbulence is made questionable by strong nonlinearity and strong disequilibrium that result in the creation of ordered structures imbedded in disorder. Model systems are described which may provide some hope that a compact, yet faithful, statistical description of turbulence nevertheless is possible. Some essential dynamic features of the models are captured by low-order statistical approximations despite strongly non-Gaussian behavior. 31 refs., 5 figs.

Kraichnan, R.H.; Chen, S.Y.

1988-09-01T23:59:59.000Z

424

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

425

NIST/SEMATECH Engineering Statistics Handbook  

Science Conference Proceedings (OSTI)

NIST/SEMATECH Engineering Statistics Handbook. ... The team first laid out the scope of the new handbook and a detailed outline of its content. ...

2010-12-15T23:59:59.000Z

426

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Germany 0.089 0.089 0.077 0.067 0.061 0.067 ...

427

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. ... Germany 43.2 41.0 41.1 35.6 30.8 28.1 ...

428

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. ... United States 3,883 ... 4,156.745 Virgin Islands, U.S. 0.978 0.987 0.855 0 ...

429

Homepage: Computer, Computational, and Statistical Sciences,...  

NLE Websites -- All DOE Office Websites (Extended Search)

ADTSC Computer, Computational, & Statistical Sciences, CCS Home Internal Home About Us Organization Jobs CCS Home Groups Computational Physics & Methods CCS-2 Information Sciences...

430

An interactive parallel coordinates technique applied to a tropical cyclone climate analysis  

Science Conference Proceedings (OSTI)

A highly interactive visual analysis system is presented that is based on an enhanced variant of parallel coordinates - a multivariate information visualization technique. The system combines many variations of previously described visual interaction ... Keywords: Climate study, Geovisualization, Hurricane, Multivariate information visualization, Parallel coordinates

Chad A. Steed; Patrick J. Fitzpatrick; T. J. Jankun-Kelly; Amber N. Yancey; J. Edward Swan II

2009-07-01T23:59:59.000Z

431

A Flexible Approach for the Statistical Visualization of Ensemble Data  

SciTech Connect

Scientists are increasingly moving towards ensemble data sets to explore relationships present in dynamic systems. Ensemble data sets combine spatio-temporal simulation results generated using multiple numerical models, sampled input conditions and perturbed parameters. While ensemble data sets are a powerful tool for mitigating uncertainty, they pose significant visualization and analysis challenges due to their complexity. We present a collection of overview and statistical displays linked through a high level of interactivity to provide a framework for gaining key scientific insight into the distribution of the simulation results as well as the uncertainty associated with the data. In contrast to methods that present large amounts of diverse information in a single display, we argue that combining multiple linked statistical displays yields a clearer presentation of the data and facilitates a greater level of visual data analysis. We demonstrate this approach using driving problems from climate modeling and meteorology and discuss generalizations to other fields.

Potter, K; Wilson, A; Bremer, P; Williams, D; Pascucci, V; Johnson, C

2009-09-29T23:59:59.000Z

432

Workforce Statistics - NA 70 | National Nuclear Security Administratio...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA 70 Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA 70...

433

Workforce Statistics - NA MB | National Nuclear Security Administratio...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA MB Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA MB...

434

Workforce Statistics - NA 20 | National Nuclear Security Administratio...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA 20 Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA 20...

435

Workforce Statistics - NA 10 | National Nuclear Security Administratio...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA 10 Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA 10...

436

Workforce Statistics - NA EA | National Nuclear Security Administratio...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA EA Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA EA...

437

Workforce Statistics - NA-30 | National Nuclear Security Administratio...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA-30 Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA-30...

438

Workforce Statistics - Los Alamos Field Office | National Nuclear...  

National Nuclear Security Administration (NNSA)

Statistics - Los Alamos Field Office Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - Los Alamos...

439

Workforce Statistics - NA 40 | National Nuclear Security Administratio...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA 40 Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA 40...

440

Workforce Statistics - Y-12 | National Nuclear Security Administration  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - Y-12 Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - Y-12...

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.


441

Workforce Statistics - NA GC | National Nuclear Security Administratio...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA GC Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA GC...

442

Workforce Statistics - NA 1 | National Nuclear Security Administration  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA 1 Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA 1...

443

Workforce Statistics - NA APM | National Nuclear Security Administrati...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA APM Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA APM...

444

Workforce Statistics - NA SH | National Nuclear Security Administratio...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA SH Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA SH...

445

Workforce Statistics - NA 80 | National Nuclear Security Administratio...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA 80 Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA 80...

446

Workforce Statistics - NA IM | National Nuclear Security Administratio...  

National Nuclear Security Administration (NNSA)

Blog Workforce Statistics - NA IM Home > About Us > Our Operations > Management and Budget > Office of Civil Rights > Workforce Statistics > Workforce Statistics - NA IM...

447

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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...

448

Applying the multivariate time-rescaling theorem to neural population models  

E-Print Network (OSTI)

Statistical models of neural activity are integral to modern neuroscience. Recently interest has grown in modeling the spiking activity of populations of simultaneously recorded neurons to study the effects of correlations ...

Gerhard, Felipe

449

Following directions using statistical machine translation  

Science Conference Proceedings (OSTI)

Mobile robots that interact with humans in an intuitive way must be able to follow directions provided by humans in unconstrained natural language. In this work we investigate how statistical machine translation techniques can be used to bridge the gap ... Keywords: human-robot interaction, instruction following, natural language, navigation, statistical machine translation

Cynthia Matuszek; Dieter Fox; Karl Koscher

2010-03-01T23:59:59.000Z

450

Tennessee Energy Statistics Quarterly, third quarter 1984  

Science Conference Proceedings (OSTI)

The Tennessee Energy Statistics Quarterly presents the most current energy statistics available which are specific to the State of Tennessee. In every instance possible, county-level energy data are also shown. The report covers three substantive areas of the energy flow - production, consumption, and pricing. The specific energy types for which data are included are coal, petroleum, natural gas and electricity.

Finley, T.F. III; Hensley, B.D.; Trotter, T.

1984-01-01T23:59:59.000Z

451

Bagging and Boosting statistical machine translation systems  

Science Conference Proceedings (OSTI)

In this article we address the issue of generating diversified translation systems from a single Statistical Machine Translation (SMT) engine for system combination. Unlike traditional approaches, we do not resort to multiple structurally different SMT ... Keywords: Ensemble learning, Statistical machine translation, System combination

Tong Xiao; Jingbo Zhu; Tongran Liu

2013-02-01T23:59:59.000Z

452

Quantum Statistical Testing of a QRNG Algorithm  

Science Conference Proceedings (OSTI)

We present the algorithmic design of a quantum random number generator, the subsequent synthesis of a physical design and its verification using quantum statistical testing. We also describe how quantum statistical testing can be used to diagnose channel noise in QKD protocols.

Humble, Travis S [ORNL; Pooser, Raphael C [ORNL; Britt, Keith A [ORNL

2013-01-01T23:59:59.000Z

453

Quantum Statistical Mechanics and Quantum Computation  

E-Print Network (OSTI)

Quantum Statistical Mechanics and Quantum Computation 22-23 March 2012 Room 111, Jadwin Hall, focused meeting to explore the intersection between quantum statistical mechanics and quantum computation, specifically quantum complexity theory. Advances in complexity theory have interesting implications for physics

454

The Usefulness of MSU3 Analyses as a Forecasting Aid: A Statistical Study  

Science Conference Proceedings (OSTI)

A statistical analysis is performed on a 6-month global dataset consisting of satellite-derived channel 3 Microwave Sounding Unit (MSU3) brightness temperature and various conventionally derived fields to quantify the potential usefulness of MSU3 ...

Paul A. Hirschberg; Matthew C. Parke; Carlyle H. Wash; Mark Mickelinc; Roy W. Spencer; Eric Thaler

1997-06-01T23:59:59.000Z

455

Reduction of Model Systematic Error by Statistical Correction for Dynamical Seasonal Predictions  

Science Conference Proceedings (OSTI)

Singular value decomposition analysis (SVDA) is used to analyze an ensemble of three 34-yr general circulation model (GCM) simulations forced with observed sea surface temperature. It is demonstrated how statistical postprocessing based on the ...

Henrik Feddersen; Antonio Navarra; M. Neil Ward

1999-07-01T23:59:59.000Z

456

A Statistics-Based Method For The Short-Wave Infrared Spectral...  

Open Energy Info (EERE)

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:...

457

Relating Eulerian and Lagrangian Statistics for the Turbulent Dispersion in the Atmospheric Convective Boundary Layer  

Science Conference Proceedings (OSTI)

Eulerian and Lagrangian statistics in the atmospheric convective boundary layer (CBL) are studied by means of large eddy simulation (LES). Spectra analysis is performed in both the Eulerian and Lagrangian frameworks, autocorrelations are ...

Alessandro Dosio; Jordi Vilá Guerau de Arellano; Albert A. M. Holtslag; Peter J. H. Builtjes

2005-04-01T23:59:59.000Z

458

Statistics of Breaking Waves Observed as Whitecaps in the Open Sea  

Science Conference Proceedings (OSTI)

Conventional observations of waves carried out with a buoy in open sea conditions were supplemented with simultaneous visual observations of whitecaps to identify breaking events in the buoy records. A statistical wave-by-wave analysis of these ...

L. H. Holthuijsen; T. H. C. Herbers

1986-02-01T23:59:59.000Z

459

Updraft and Downdraft Statistics of Simulated Tropical and Midlatitude Cumulus Convection  

Science Conference Proceedings (OSTI)

This paper presents a detailed analysis of updraft and downdraft statistics of simulated tropical oceanic and midlatitude continental cumulus convection, with an emphasis on the individual terms in the vertical momentum budget. Strong convective ...

Kuan-Man Xu; David A. Randall

2001-07-01T23:59:59.000Z

460

The Regional Analysis System for the Operational “Early” Eta Model: Original 80-km Configuration and Recent Changes  

Science Conference Proceedings (OSTI)

The analysis component of the National Centers for Environmental Prediction (NCEP) operational “early” 80-km eta model, as implemented in July 1993, is described. This optimum interpolation (OI) analysis is fully multivariate for wind and ...

Eric Rogers; Dennis G. Deaven; Geoffrey S. Dimego

1995-12-01T23:59:59.000Z

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.


461

Stacy C. Davis - Research Staff - Center for Transportation Analysis  

NLE Websites -- All DOE Office Websites (Extended Search)

Specialty Research Areas: Data, Statistical Analysis and Information Tools Energy and Environmental Policy Analysis Current or Recent Work: Transportation Energy...

462

Application of Statistical Continuum Mechanics to Guide Processing ...  

Science Conference Proceedings (OSTI)

Multi scale modeling including statistical continuum mechanics is used to predict microstructure evolution during processing. We also developed statistical ...

463

Probability of mediastinal involvement in non-small-cell lung cancer: a statistical definition of the clinical target volume for 3-dimensional conformal radiotherapy?  

Science Conference Proceedings (OSTI)

Purpose: Conformal irradiation (3D-CRT) of non-small-cell lung carcinoma (NSCLC) is largely based on precise definition of the nodal clinical target volume (CTVn). A reduction of the number of nodal stations to be irradiated would facilitate tumor dose escalation. The aim of this study was to design a mathematical tool based on documented data to predict the risk of metastatic involvement for each nodal station. Methods and Materials: We reviewed the large surgical series published in the literature to identify the main pretreatment parameters that modify the risk of nodal invasion. The probability of involvement for the 17 nodal stations described by the American Thoracic Society (ATS) was computed from all these publications. Starting with the primary site of the tumor as the main characteristic, we built a probabilistic tree for each nodal station representing the risk distribution as a function of each tumor feature. Statistical analysis used the inversion of probability trees method described by Weinstein and Feinberg. Validation of the software based on 134 patients from two different populations was performed by receiver operator characteristic (ROC) curves and multivariate logistic regression. Results: Analysis of all of the various parameters of pretreatment staging relative to each level of the ATS map results in 20,000 different combinations. The first parameters included in the tree, depending on tumor site, were histologic classification, metastatic stage, nodal stage weighted as a function of the sensitivity and specificity of the diagnostic examination used (positron emission tomography scan, computed tomography scan), and tumor stage. Software is proposed to compute a predicted probability of involvement of each nodal station for any given clinical presentation. Double cross validation confirmed the methodology. A 10% cutoff point was calculated from ROC and logistic model giving the best prediction of mediastinal lymph node involvement. Conclusion: To more accurately define the CTVn in NSCLC three-dimensional conformal radiotherapy, we propose a software that evaluates the risk of mediastinal lymph node involvement from easily accessible individual pretreatment parameters.

Giraud, Philippe [Department of Radiation Oncology, Institut Curie, Paris (France) and Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, NY (United States)]. E-mail: philippe.giraud@curie.net; De Rycke, Yann [Department of Biostatistics, Institut Curie, Paris (France); Lavole, Armelle [Department of Radiation Oncology, Institut Curie, Paris (France); Department of Respiratory Medicine, Tenon Hospital, Paris (France); Milleron, Bernard [Department of Respiratory Medicine, Tenon Hospital, Paris (France); Cosset, Jean-Marc [Department of Radiation Oncology, Institut Curie, Paris (France); Rosenzweig, Kenneth E. [Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, NY (United States)

2006-01-01T23:59:59.000Z

464

Confidence Regions and Pooling—Some Statistics for Weather Experimentation  

Science Conference Proceedings (OSTI)

The use of confidence intervals for assessing the results of weather modification experiments is demonstrated and is shown to be more informative than tests of significance. Multivariate tests, confidence regions, and simultaneous confidence ...

K. Ruben Gabriel

2002-05-01T23:59:59.000Z

465

Brief paper: Stable genetic adaptive controllers for multivariable systems using a two-degree-of-freedom topology  

Science Conference Proceedings (OSTI)

This paper introduces an adaptive reference tracking controller based on the online genetic estimation of the parameters of the system. The main novelty of the paper relies on the fact that the stability of the genetic adaptive scheme is analytically ... Keywords: Adaptive Control, Genetic Algorithms, Multivariable Systems, Process Control, Stability

Asier Ibeas; Salvador Alcántara

2010-02-01T23:59:59.000Z

466

Contributions of Convectively Coupled Equatorial Rossby Waves and Kelvin Waves to the Real-Time Multivariate MJO Indices  

Science Conference Proceedings (OSTI)

The real-time multivariate (RMM) Madden–Julian oscillation (MJO) indices have been widely applied to diagnose and track the progression of the MJO. Although it has been well demonstrated that the MJO contributes to the leading signals in these ...

Paul E. Roundy; Carl J. Schreck III; Matthew A. Janiga

2009-01-01T23:59:59.000Z

467

Mod`ele Probit Multivarie Ordinal Dynamique. Application `a l'estimation de la Biomasse d'un  

E-Print Network (OSTI)

Mod`ele Probit Multivari´e Ordinal Dynamique. Application `a l'estimation de la Biomasse d Montpellier Cedex 5, France R´esum´e La biomasse d'un individu ou d'un peuplement est difficilement mesurable- ment, permettent d'´evaluer les biomasses pour diff´erents compartiments (feuille

Paris-Sud XI, Université de

468

Statistical Principles for Climate Change Studies  

Science Conference Proceedings (OSTI)

Statistical principles underlying “fingerprint” methods for detecting a climate change signal above natural climate variations and attributing the potential signal to specific anthropogenic forcings are discussed. The climate change problem is ...

Richard A. Levine; L. Mark Berliner

1999-02-01T23:59:59.000Z

469

Statistical models for motion segmentation and tracking  

Science Conference Proceedings (OSTI)

Accurate Statistical Models were recognized as essential for Computer Vision long ago. The main difficulties related to the application of such models are devising the model itself, computing the model parameters, applying the model efficiently, conditioning ...

King Yuen Wong

2005-01-01T23:59:59.000Z

470

Statistical Description of Radiation Transfer in Clouds  

Science Conference Proceedings (OSTI)

The statistical characteristics of simulated cloud fields constructed based on Poisson point fluxes are studied. The input parameters of mathematical models of cloudiness include the cloud fraction and the mean horizontal size of clouds ...

Georgi A. Titov

1990-01-01T23:59:59.000Z

471

Data Assimilation via Error Subspace Statistical Estimation.  

Science Conference Proceedings (OSTI)

Identical twin experiments are utilized to assess and exemplify the capabilities of error subspace statistical estimation (ESSE). The experiments consists of nonlinear, primitive equation–based, idealized Middle Atlantic Bight shelfbreak front ...

P. F. J. Lermusiaux

1999-07-01T23:59:59.000Z

472

Dynamical Properties of Model Output Statistics Forecasts  

Science Conference Proceedings (OSTI)

The dynamical properties of forecasts corrected using model output statistics (MOS) schemes are explored, with emphasis on the respective role of model and initial condition uncertainties. Analytical and numerical investigations of low-order ...

S. Vannitsem; C. Nicolis

2008-02-01T23:59:59.000Z

473

Statistics on Vertical Wind Shear over Oceans  

Science Conference Proceedings (OSTI)

Statistics on boundary layer vertical wind shear were gathered from rawinsonde soundings taken from three small islands and one weather ship. These soundings show a high correlation between surface and 1829 m altitude wind directions. Wind speeds ...

Donald P. Wylie; Barry B. Hinton; Kellie M. Millett

1984-06-01T23:59:59.000Z

474

Statistical mechanics of a cat's cradle  

E-Print Network (OSTI)

cells. In our view, cell mechanics remains at an early stagefor physics Statistical mechanics of a cat’s cradle Tongyemodel [2, 3] of cell mechanics [7], but here we limit

Shen, Tongye; Wolynes, Peter G

2006-01-01T23:59:59.000Z

475

3. Crude Oil Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

3. Crude Oil Statistics The United States had 21,034 million barrels of crude oil proved reserves as of December 31, 1998. This is 7 percent (-1,512 ...

476

Natural Statistical Models for Automatic Speech Recognition  

E-Print Network (OSTI)

The performance of state-of-the-art speech recognition systems is still far worse than that of humans. This is partly caused by the use of poor statistical models. In a general statistical pattern classification task, the probabilistic models should represent the statistical structure unique to and distinguishing those objects to be classified. In many cases, however, model families are selected without verification of their ability to represent vital discriminative properties. For example, Hidden Markov Models (HMMs) are frequently used in automatic speech recognition systems even though they possess conditional independence properties that might cause inaccuracies when modeling and classifying speech signals. In this work, a new method for automatic speech recognition is developed where the natural statistical properties of speech are used to determine the probabilistic model. Starting from an HMM, new models are created by adding dependencies only if they are not already well captured by the HMM, and only if they increase the

Jeffrey Adam Bilmes

1999-01-01T23:59:59.000Z

477

Statistical criteria for characterizing irradiance time series.  

SciTech Connect

We propose and examine several statistical criteria for characterizing time series of solar irradiance. Time series of irradiance are used in analyses that seek to quantify the performance of photovoltaic (PV) power systems over time. Time series of irradiance are either measured or are simulated using models. Simulations of irradiance are often calibrated to or generated from statistics for observed irradiance and simulations are validated by comparing the simulation output to the observed irradiance. Criteria used in this comparison should derive from the context of the analyses in which the simulated irradiance is to be used. We examine three statistics that characterize time series and their use as criteria for comparing time series. We demonstrate these statistics using observed irradiance data recorded in August 2007 in Las Vegas, Nevada, and in June 2009 in Albuquerque, New Mexico.

Stein, Joshua S.; Ellis, Abraham; Hansen, Clifford W.

2010-10-01T23:59:59.000Z

478

4. Natural Gas Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

4. Natural Gas Statistics Dry Natural Gas Proved Reserves The United States had 192,513 billion cubic feet of dry natural gas reserves as of December 31, 2004, a 2

479

Statistics and Dynamics of Persistent Anomalies  

Science Conference Proceedings (OSTI)

Persistent anomalies with recurrent spatial patterns play an important role in the atmosphere's low-frequency variability. We establish a connection between statistical and dynamical methods of description and prediction of persistent anomalies. ...

Kingtse C. Mo; Michael Ghil

1987-03-01T23:59:59.000Z

480

Ensemble Model Output Statistics for Wind Vectors  

Science Conference Proceedings (OSTI)

A bivariate ensemble model output statistics (EMOS) technique for the postprocessing of ensemble forecasts of two-dimensional wind vectors is proposed, where the postprocessed probabilistic forecast takes the form of a bivariate normal probability ...

Nina Schuhen; Thordis L. Thorarinsdottir; Tilmann Gneiting

2012-10-01T23:59:59.000Z

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.


481

Nonlinear Wave Statistics in a Focal Zone  

Science Conference Proceedings (OSTI)

In this paper, the combined effects of refraction and nonlinearity on the evolution of ocean surface wave statistics are considered and possible implications for the likelihood of extreme waves, also known as freak or rogue waves, are examined. A ...

T. T. Janssen; T. H. C. Herbers

2009-08-01T23:59:59.000Z

482

Observations of Breaking Surface Wave Statistics  

Science Conference Proceedings (OSTI)

Breaking surface waves were observed during the Surface Wave Process Program with a novel acoustical instrument that makes use of underwater ambient sound to track individual breaking events. The spatial and temporal statistics of braking waves ...

Li Ding; David M. Farmer

1994-06-01T23:59:59.000Z

483

International Energy Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. ... United States 948.446 ... 978.020 986.215 994.888 Virgin Islands, U.S . 0.323 0.323 ...

484

Workforce Statistics - Pantex Field Office | National Nuclear...  

National Nuclear Security Administration (NNSA)

Statistics - Pantex Field Office Pantex Field Office FY12 Semi Annual Report FY11 Year-End Workforce Diversity Report FY10 Semi Annual Report (pdf, 94KB) Year End Summary (pdf, 202...

485

Richardson Number Statistics in the Seasonal Thermocline  

Science Conference Proceedings (OSTI)

Statistics of Richardson number in the seasonal thermocline are determined for a simple model and from experiments over the continental shelf. The model consists of normally distributed and uncorrelated density gradient and shear (such as may be ...

Laurie Padman; Ian S. F. Jones

1985-07-01T23:59:59.000Z

486

Women in Physics | Resources/Statistics  

NLE Websites -- All DOE Office Websites (Extended Search)

ResourcesStatistics Photo: Women in Physics Resources APS Women in Physics APS, through the Committee on the Status of Women in Physics (CSWP) is committed to encouraging the...

487

3. Crude Oil Statistics - Energy Information Administration  

U.S. Energy Information Administration (EIA)

3. Crude Oil Statistics The United States had 22,446 million barrels of crude oil proved reserves as of December 31, 2001. This is 1.8 percent (401 million barrels ...

488

Statistical Mechanics of Two-dimensional Foams  

E-Print Network (OSTI)

The methods of statistical mechanics are applied to two-dimensional foams under macroscopic agitation. A new variable -- the total cell curvature -- is introduced, which plays the role of energy in conventional statistical thermodynamics. The probability distribution of the number of sides for a cell of given area is derived. This expression allows to correlate the distribution of sides ("topological disorder") to the distribution of sizes ("geometrical disorder") in a foam. The model predictions agree well with available experimental data.

Marc Durand

2010-09-07T23:59:59.000Z

489

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

490

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

491

A Statistical Method for Estimating Luminosity Functions using Truncated Data  

E-Print Network (OSTI)

The observational limitations of astronomical surveys lead to significant statistical inference challenges. One such challenge is the estimation of luminosity functions given redshift $z$ and absolute magnitude $M$ measurements from an irregularly truncated sample of objects. This is a bivariate density estimation problem; we develop here a statistically rigorous method which (1) does not assume a strict parametric form for the bivariate density; (2) does not assume independence between redshift and absolute magnitude (and hence allows evolution of the luminosity function with redshift); (3) does not require dividing the data into arbitrary bins; and (4) naturally incorporates a varying selection function. We accomplish this by decomposing the bivariate density into nonparametric and parametric portions. There is a simple way of estimating the integrated mean squared error of the estimator; smoothing parameters are selected to minimize this quantity. Results are presented from the analysis of a sample of quasars.

Chad M. Schafer

2007-02-15T23:59:59.000Z

492

Vietnam Energy Data, Statistics and Analysis - Oil, Gas ...  

U.S. Energy Information Administration (EIA)

Vietnam's energy policy objectives, outlined in the National Strategy for Energy Development, ... Vietnam's National Gas Master Plan projects that gas consumption in

493

Statistical Aspects of ChIP-Seq Data Analysis  

E-Print Network (OSTI)

design of PIF3 data set. . . . . . . . . . . . . . . . . .3.2 Data Set Description . . . . .3.2.2 PIF3 data set . . . . . . . . . 3.2.3 NRSF Monoclonal

Mayba, Oleg Sergeyevich

2011-01-01T23:59:59.000Z

494

Utility green pricing programs: A statistical analysis of program effectiveness  

E-Print Network (OSTI)

looked at the total number of customers subscribed or theconsiders not only the number of customer participants, butsimply used the number of customers or amount of renewable

Wiser, Ryan; Olson, Scott; Bird, Lori; Swezey, Blair

2004-01-01T23:59:59.000Z

495

Statistical analysis of solar irradiation in a distributed microgrid.  

E-Print Network (OSTI)

??In recent decades, solar power has become increasingly more efficient and wide-spread in its use, particularly in residential applications. To allow residential solar power to… (more)

Harper, James Patrick

2010-01-01T23:59:59.000Z

496

Utility green pricing programs: A statistical analysis of program effectiveness  

E-Print Network (OSTI)

100 kWh/month of renewable energy at a cost of $3/block) andthe incremental cost of renewable energy. The renewablefrom fuel cost increases Tours to renewable energy project

Wiser, Ryan; Olson, Scott; Bird, Lori; Swezey, Blair

2004-01-01T23:59:59.000Z

497

Australia Energy Data, Statistics and Analysis - Oil, Gas ...  

U.S. Energy Information Administration (EIA)

Crude oil, gasoline, heating oil ... where gas processing facilities will have production capacity of 700 Bcf ... Offshore Technology Platt’s Oilgram News ...

498

Utility Green Pricing Programs: A Statistical Analysis of Program Effectiveness  

DOE Green Energy (OSTI)

This report analyzes actual utility green pricing program data to provide further insight into which program features might help maximize both customer participation in green pricing programs and the amount of renewable energy purchased by customers in those programs.

Wiser, R.; Olson, S.; Bird, L.; Swezey, B.

2004-02-01T23:59:59.000Z

499

Utility green pricing programs: A statistical analysis of program effectiveness  

E-Print Network (OSTI)

Consumer Demand for ‘Green Power’ and Energy Efficiency. ”of renewable energy supported by green pricing programs (renewable energy purchases through green pricing programs (

Wiser, Ryan; Olson, Scott; Bird, Lori; Swezey, Blair

2004-01-01T23:59:59.000Z

500

Utility green pricing programs: A statistical analysis of program effectiveness  

E-Print Network (OSTI)

recognition, fuel surcharge exemptions, environmental costat the business, fuel surcharge exemptions, environmentalat the business, fuel surcharge exemptions, environmental

Wiser, Ryan; Olson, Scott; Bird, Lori; Swezey, Blair

2004-01-01T23:59:59.000Z