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1

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

2

Statistics and Causal Inference PAUL W. HOLLAND*  

E-Print Network [OSTI]

Statistics and Causal Inference PAUL W. HOLLAND* Problems involving causal inference have dogged conclusions drawn from a carefully designed experiment are often valid. What can a statistical model say about in the most unexpected places, for example, "If the statistics cannot relate cause and effect, they can

Fitelson, Branden

3

Statistical inference in population genetics using microsatellites   

E-Print Network [OSTI]

Statistical inference from molecular population genetic data is currently a very active area of research for two main reasons. First, in the past two decades an enormous amount of molecular genetic data have been produced ...

Csilléry, Katalin

2009-01-01T23:59:59.000Z

4

Introduction Statistical Tests  

E-Print Network [OSTI]

Introduction Statistical Tests Experiment Summary Statistical Significance Testing Machine Learning Lab, ASU Surendra Singhi April 29, 2005 Surendra Singhi Statistical Significance Testing #12;Introduction Statistical Tests Experiment Summary Outline 1 Introduction Preliminary Stuff Sources of Variation

Liu, Huan

5

Nuclear Forensic Inferences Using Iterative Multidimensional Statistics  

SciTech Connect (OSTI)

Nuclear forensics involves the analysis of interdicted nuclear material for specific material characteristics (referred to as 'signatures') that imply specific geographical locations, production processes, culprit intentions, etc. Predictive signatures rely on expert knowledge of physics, chemistry, and engineering to develop inferences from these material characteristics. Comparative signatures, on the other hand, rely on comparison of the material characteristics of the interdicted sample (the 'questioned sample' in FBI parlance) with those of a set of known samples. In the ideal case, the set of known samples would be a comprehensive nuclear forensics database, a database which does not currently exist. In fact, our ability to analyze interdicted samples and produce an extensive list of precise materials characteristics far exceeds our ability to interpret the results. Therefore, as we seek to develop the extensive databases necessary for nuclear forensics, we must also develop the methods necessary to produce the necessary inferences from comparison of our analytical results with these large, multidimensional sets of data. In the work reported here, we used a large, multidimensional dataset of results from quality control analyses of uranium ore concentrate (UOC, sometimes called 'yellowcake'). We have found that traditional multidimensional techniques, such as principal components analysis (PCA), are especially useful for understanding such datasets and drawing relevant conclusions. In particular, we have developed an iterative partial least squares-discriminant analysis (PLS-DA) procedure that has proven especially adept at identifying the production location of unknown UOC samples. By removing classes which fell far outside the initial decision boundary, and then rebuilding the PLS-DA model, we have consistently produced better and more definitive attributions than with a single pass classification approach. Performance of the iterative PLS-DA method compared favorably to that of classification and regression tree (CART) and k nearest neighbor (KNN) algorithms, with the best combination of accuracy and robustness, as tested by classifying samples measured independently in our laboratories against the vendor QC based reference set.

Robel, M; Kristo, M J; Heller, M A

2009-06-09T23:59:59.000Z

6

Thermodynamics of Statistical Inference by Cells Alex H. Lang,1,*  

E-Print Network [OSTI]

Thermodynamics of Statistical Inference by Cells Alex H. Lang,1,* Charles K. Fisher,1 Thierry Mora June 2014; published 3 October 2014) The deep connection between thermodynamics, computation that thermodynamics also places fundamental constraints on statistical estimation and learning. To do so, we

Mora, Thierry

7

Minfer: Inferring Motif Statistics From Sampled Edges  

E-Print Network [OSTI]

Characterizing motif (i.e., locally connected subgraph patterns) statistics is important for understanding complex networks such as online social networks and communication networks. Previous work made the strong assumption that the graph topology of interest is known, and that the dataset either fits into main memory or stored on disks such that it is not expensive to obtain all neighbors of any given node. In practice, researchers have to deal with the situation where the graph topology is unknown, either because the graph is dynamic, or because it is expensive to collect and store all topological and meta information on disk. Hence, what is available to researchers is only a snapshot of the graph generated by sampling edges from the graph at random, which we called a "RESampled graph". Clearly, a RESampled graph's motif statistics may be quite different from the underlying original graph. To solve this challenge, we propose a framework and implement a system called Minfer, which can take the given RESample...

Wang, Pinghui; Towsley, Don

2015-01-01T23:59:59.000Z

8

Statistical inference for density dependent Markovian forestry models  

E-Print Network [OSTI]

Statistical inference for density dependent Markovian forestry models Abstract A stochastic forestry model with a density-dependence structure is studied. The population evolves in discrete roughly speaking, becomes large. From the perspective of the analysis of forestry data and predict

Paris-Sud XI, Université de

9

statistical planning Journal of Statistical Planning and and inference  

E-Print Network [OSTI]

-dependent covariates D.Y. Lin a'*, Zhiliang Ying b "Department . Ying/Journal q/' Statistical Plannin~l and lt~[brence 44 (1995) 47 63 where To refers to the condition attention (e.g., Ritov, 1990; Tsiatis, 1990; Wei et al., 1990; Lai and Ying, 1991; Ying, 1993). To provide

Lin, Danyu

10

December 2000 A STATISTICAL TEST  

E-Print Network [OSTI]

December 2000 A STATISTICAL TEST SUITE FOR RANDOM AND PSEUDORANDOM NUMBER GENERATORS challenges in authentication protocols. NIST Special Publication (SP) 800-22, A Statistical Test Suite testing of random number and pseudorandom number generators (RNGs and PRNGs) that may be used for many

11

Statistical Inference for Big Data Problems in Molecular Biophysics  

SciTech Connect (OSTI)

We highlight the role of statistical inference techniques in providing biological insights from analyzing long time-scale molecular simulation data. Technologi- cal and algorithmic improvements in computation have brought molecular simu- lations to the forefront of techniques applied to investigating the basis of living systems. While these longer simulations, increasingly complex reaching petabyte scales presently, promise a detailed view into microscopic behavior, teasing out the important information has now become a true challenge on its own. Mining this data for important patterns is critical to automating therapeutic intervention discovery, improving protein design, and fundamentally understanding the mech- anistic basis of cellular homeostasis.

Ramanathan, Arvind [ORNL; Savol, Andrej [University of Pittsburgh School of Medicine, Pittsburgh PA; Burger, Virginia [University of Pittsburgh School of Medicine, Pittsburgh PA; Quinn, Shannon [University of Pittsburgh School of Medicine, Pittsburgh PA; Agarwal, Pratul K [ORNL; Chennubhotla, Chakra [University of Pittsburgh School of Medicine, Pittsburgh PA

2012-01-01T23:59:59.000Z

12

On some statistical aspects of software testing and reliability  

E-Print Network [OSTI]

On some statistical aspects of software testing and reliability Frank P.A. Coolen Abstract and reliability. Several difficulties are highlighted and several research challenges are discussed. Overall useful inferences on software reliability if the statistical methods are considered to be an `add

Coolen, Frank

13

Optimum Statistical Test Procedure  

E-Print Network [OSTI]

In this paper we obtain a test which minimizes the sum of the two error probabilities irrespective of whether $\\sigma^2$ is known or unknown.

Rajesh Singh; Jayant Singh; Florentin Smarandache

2009-04-10T23:59:59.000Z

14

Statistical Inference for Exploratory Data Analysis and Model Diagnostics  

E-Print Network [OSTI]

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

Buja, Andreas

15

Pearson's Goodness of Fit Statistic as a Score Test Statistic  

E-Print Network [OSTI]

Pearson's Goodness of Fit Statistic as a Score Test Statistic Gordon K. Smyth Abstract For any generalized linear model, the Pearson goodness of fit statistic is the score test statistic for testing the current model against the saturated model. The re- lationship between the Pearson statistic

Smyth, Gordon K.

16

Math 341 Probability and Statistical Inference Winter 2010 Instructor Dr. Amites Sarkar  

E-Print Network [OSTI]

Math 341 Probability and Statistical Inference Winter 2010 Instructor Dr. Amites Sarkar Text, Thursdays and Fridays, in 216 Bond Hall. My phone number is 650 7569 and my e-mail is amites.sarkar

Sarkar, Amites

17

Math 341 Probability and Statistical Inference Summer 2009 Instructor Dr. Amites Sarkar  

E-Print Network [OSTI]

Math 341 Probability and Statistical Inference Summer 2009 Instructor Dr. Amites Sarkar Text, Wednesdays and Thursdays, in 216 Bond Hall. My phone number is 650 7569 and my e-mail is amites.sarkar

Sarkar, Amites

18

Guide to Inferential Statistics (Hypothesis Testing Statistics) Statistic What does it measure? Null Hypothesis What you  

E-Print Network [OSTI]

Guide to Inferential Statistics (Hypothesis Testing Statistics) Statistic What does it measure of the variable from the 2 groups p-value less than .05 If p statistically different (reject null) If p > .05, there is no statistical difference in the mean values of groups (accept null) t

Brown, Gregory G.

19

A time varying GARCH (p, q) model and related statistical inference  

E-Print Network [OSTI]

A time varying GARCH (p, q) model and related statistical inference Technical Report No: ISINE Institute North-East Centre, Tezpur, Assam-784028 #12;A time varying GARCH (p, q) model and related varying GARCH (tvGARCH (p, q)) model and consider certain related inferential problems. A two-step local

Bandyopadhyay, Antar

20

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

E-Print Network [OSTI]

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

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

2006-11-08T23:59:59.000Z

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


21

Statistical Behavior and Symmetry Tests G. E. Mitchell  

E-Print Network [OSTI]

Statistical Behavior and Symmetry Tests G. E. Mitchell North Carolina State University, Raleigh, NC Technological University, Cookeville, TN 38505 (Dated: April 12, 2004) Symmetries and statistical properties violation in neutron resonances. Statistical distribu- tions can provide information about the underlying

Shriner, John

22

Statistical Model Criticism using Kernel Two Sample Tests  

E-Print Network [OSTI]

Statistical Model Criticism using Kernel Two Sample Tests James Robert Lloyd Department Abstract We propose an exploratory approach to statistical model criticism using maximum mean discrepancy a statistic by which to measure discrepancies between data and a statistical model. MMD two sample tests

Ghahramani, Zoubin

23

STATISTICAL METHODS STATISTICAL METHODS  

E-Print Network [OSTI]

STATISTICAL METHODS 1 STATISTICAL METHODS Arnaud Delorme, Swartz Center for Computational@salk.edu. Keywords: statistical methods, inference, models, clinical, software, bootstrap, resampling, PCA, ICA Abstract: Statistics represents that body of methods by which characteristics of a population are inferred

Delorme, Arnaud

24

Modular Operational Test Plans for Inferences on Software Reliability Based on a Markov Model  

E-Print Network [OSTI]

Modular Operational Test Plans for Inferences on Software Reliability Based on a Markov Model reliabilities. An operational test procedure is considered in which only the individual modules are tested and the system is considered acceptable if, and only if, no failures are observed. The minimum number of tests

Mazumdar, Mainak

25

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

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

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

26

Accelerated Destructive Degradation Test Planning Dept. of Statistics  

E-Print Network [OSTI]

Accelerated Destructive Degradation Test Planning Ying Shi Dept. of Statistics Iowa State Ames, IA 50011 wqmeeker@iastate.edu Abstract Accelerated Destructive Degradation Tests (ADDTs) provide reliability information quickly. An ADDT plan specifies factor level combinations of an accelerating variable

27

Targeted Learning, by Mark J. van der Laan and Sherri Rose, fills a much needed gap in statistical and causal inference. It protects us from wasting  

E-Print Network [OSTI]

in statistical and causal inference. It protects us from wasting computational, analytical, and data resources could not offer Marschak's Maxim a fertile ground to develop because the target questions, though well

California at Los Angeles, University of

28

A Scaled Difference Chi-square Test Statistic for Moment Structure Analysis  

E-Print Network [OSTI]

with small samples: Test statistics. Multivariate BehavioralKano, Y. (1992). Can test statistics in covariance structurewith applications in statistics and econometrics . New York:

Albert Satorra; Peter Bentler

2011-01-01T23:59:59.000Z

29

Testing Spin-Statistics Connection by Highly Sensitive Spectroscopy  

E-Print Network [OSTI]

Testing Spin-Statistics Connection by Highly Sensitive Spectroscopy of CO2 Y.-H. Lien ,Y.-L. Hsu ,Y #12;Experimental Scheme Searching for the very weak or even nonexistent J=(2n+1) transitions 2 µm 0000

Shy,Jow-Tsong

30

Asymptotically pivotal statistic for surrogate testing with extended hypothesis  

E-Print Network [OSTI]

The method of surrogate data provides a framework for testing observed data against a hierarchy of alternative hypotheses. The aim of applying this method is to exclude the possibility that the data are consistent with simple linear explanations before seeking complex nonlinear causes. However, in recent time the method has attracted considerable criticism, largely as a result of ambiguity about the formation of the underlying null hypotheses, or about the power of the chosen statistic. In this communication we show that by employing a special family of ranks statistics these problems can be avoided and the method of surrogate data placed of a firm statistical foundation.

Xiaodong Luo; Jie Zhang; Junfeng Sun; Michael Small; Irene Moroz

2007-01-02T23:59:59.000Z

31

Statistical testing and estimation in continuous time interest rate models  

E-Print Network [OSTI]

. In such a case, the power of the test does not tend to one in spite of large sample sizes. On the other hand, the consistent nonparametric tests avoid this problem. To test the correctness of a parametric model, say, Yi = l(xti ;?) + ei, we can consider.... In practice, we use ^i in lieu of ei, where ^i = Yi ? l(xti ; ^) is a residual, and ^ is 11 an OLS estimator of ? and Yi is a response variable. Using the leave one out kernel estimator 1nh Pnj6=i ^jk(xtj ?xtih ), the test statistic stems from the following...

Kim, Myung Suk

2006-10-30T23:59:59.000Z

32

Inferring statistics of planet populations by means of automated microlensing searches  

E-Print Network [OSTI]

(abridged) The study of other worlds is key to understanding our own, and not only provides clues to the origin of our civilization, but also looks into its future. Rather than in identifying nearby systems and learning about their individual properties, the main value of the technique of gravitational microlensing is in obtaining the statistics of planetary populations within the Milky Way and beyond. Only the complementarity of different techniques currently employed promises to yield a complete picture of planet formation that has sufficient predictive power to let us understand how habitable worlds like ours evolve, and how abundant such systems are in the Universe. A cooperative three-step strategy of survey, follow-up, and anomaly monitoring of microlensing targets, realized by means of an automated expert system and a network of ground-based telescopes is ready right now to be used to obtain a first census of cool planets with masses reaching even below that of Earth orbiting K and M dwarfs in two distinct stellar populations, namely the Galactic bulge and disk. The hunt for extra-solar planets acts as a principal science driver for time-domain astronomy with robotic-telescope networks adopting fully-automated strategies. Several initiatives, both into facilities as well as into advanced software and strategies, are supposed to see the capabilities of gravitational microlensing programmes step-wise increasing over the next 10 years. New opportunities will show up with high-precision astrometry becoming available and studying the abundance of planets around stars in neighbouring galaxies becoming possible. Finally, we should not miss out on sharing the vision with the general public, and make its realization to profit not only the scientists but all the wider society.

M. Dominik; U. G. Jorgensen; K. Horne; Y. Tsapras; R. A. Street; L. Wyrzykowski; F. V. Hessman; M. Hundertmark; S. Rahvar; J. Wambsganss; G. Scarpetta; V. Bozza; S. Calchi Novati; L. Mancini; G. Masi; J. Teuber; T. C. Hinse; I. A. Steele; M. J. Burgdorf; S. Kane

2008-07-31T23:59:59.000Z

33

THE `TEST STATISTICS REPORT' provides a synopsis of the test attributes and some important statistics. A sample is shown here to the right.  

E-Print Network [OSTI]

#12;THE `TEST STATISTICS REPORT' provides a synopsis of the test attributes and some important statistics. A sample is shown here to the right. The Test reliability indicators are measures of how well: Are formulae for testing reliability as a measure of internal consistency. Higher values indicate a stronger

Kambhampati, Patanjali

34

Piping flow erosion in water retaining structures: inferring erosion rates from hole erosion tests and quantifying the failure time  

E-Print Network [OSTI]

Piping flow erosion in water retaining structures: inferring erosion rates from hole erosion tests-en-Provence Cedex 5, France E-mail: stephane.bonelli@cemagref.fr Abstract The piping flow erosion process, involving structures. Such a pipe can be imputed to roots or burrows. The coefficient of erosion must be known in order

Paris-Sud XI, Université de

35

Inferring catchment precipitation by doing hydrology backward: A test in 24 small and mesoscale catchments in Luxembourg  

E-Print Network [OSTI]

Inferring catchment precipitation by doing hydrology backward: A test in 24 small and mesoscale September 2012; published 10 October 2012. [1] The complexity of hydrological systems and the necessary simplification of models describing these systems remain major challenges in hydrological modeling. Kirchner

Kirchner, James W.

36

Development and testing of improved statistical wind power forecasting methods.  

SciTech Connect (OSTI)

Wind power forecasting (WPF) provides important inputs to power system operators and electricity market participants. It is therefore not surprising that WPF has attracted increasing interest within the electric power industry. In this report, we document our research on improving statistical WPF algorithms for point, uncertainty, and ramp forecasting. Below, we provide a brief introduction to the research presented in the following chapters. For a detailed overview of the state-of-the-art in wind power forecasting, we refer to [1]. Our related work on the application of WPF in operational decisions is documented in [2]. Point forecasts of wind power are highly dependent on the training criteria used in the statistical algorithms that are used to convert weather forecasts and observational data to a power forecast. In Chapter 2, we explore the application of information theoretic learning (ITL) as opposed to the classical minimum square error (MSE) criterion for point forecasting. In contrast to the MSE criterion, ITL criteria do not assume a Gaussian distribution of the forecasting errors. We investigate to what extent ITL criteria yield better results. In addition, we analyze time-adaptive training algorithms and how they enable WPF algorithms to cope with non-stationary data and, thus, to adapt to new situations without requiring additional offline training of the model. We test the new point forecasting algorithms on two wind farms located in the U.S. Midwest. Although there have been advancements in deterministic WPF, a single-valued forecast cannot provide information on the dispersion of observations around the predicted value. We argue that it is essential to generate, together with (or as an alternative to) point forecasts, a representation of the wind power uncertainty. Wind power uncertainty representation can take the form of probabilistic forecasts (e.g., probability density function, quantiles), risk indices (e.g., prediction risk index) or scenarios (with spatial and/or temporal dependence). Statistical approaches to uncertainty forecasting basically consist of estimating the uncertainty based on observed forecasting errors. Quantile regression (QR) is currently a commonly used approach in uncertainty forecasting. In Chapter 3, we propose new statistical approaches to the uncertainty estimation problem by employing kernel density forecast (KDF) methods. We use two estimators in both offline and time-adaptive modes, namely, the Nadaraya-Watson (NW) and Quantilecopula (QC) estimators. We conduct detailed tests of the new approaches using QR as a benchmark. One of the major issues in wind power generation are sudden and large changes of wind power output over a short period of time, namely ramping events. In Chapter 4, we perform a comparative study of existing definitions and methodologies for ramp forecasting. We also introduce a new probabilistic method for ramp event detection. The method starts with a stochastic algorithm that generates wind power scenarios, which are passed through a high-pass filter for ramp detection and estimation of the likelihood of ramp events to happen. The report is organized as follows: Chapter 2 presents the results of the application of ITL training criteria to deterministic WPF; Chapter 3 reports the study on probabilistic WPF, including new contributions to wind power uncertainty forecasting; Chapter 4 presents a new method to predict and visualize ramp events, comparing it with state-of-the-art methodologies; Chapter 5 briefly summarizes the main findings and contributions of this report.

Mendes, J.; Bessa, R.J.; Keko, H.; Sumaili, J.; Miranda, V.; Ferreira, C.; Gama, J.; Botterud, A.; Zhou, Z.; Wang, J. (Decision and Information Sciences); (INESC Porto)

2011-12-06T23:59:59.000Z

37

Example: the Mediterranean basin Statistical Model Estimation Hypothesis testing Estimation and joint testing of temporal and spatial  

E-Print Network [OSTI]

and joint testing of temporal and spatial patterns in Climate Change Jean-Marc Azaïs, Aurélien Ribes, Journées climat, Orsay 28 et 29 Janvier 2010 #12;Example: the Mediterranean basin Statistical ModelExample: the Mediterranean basin Statistical Model Estimation Hypothesis testing Estimation

38

A Statistical Framework for Microbial Source Attribution: Measuring Uncertainty in Host Transmission Events Inferred from Genetic Data (Part 2 of a 2 Part Report)  

SciTech Connect (OSTI)

This report explores the question of whether meaningful conclusions can be drawn regarding the transmission relationship between two microbial samples on the basis of differences observed between the two sample's respective genomes. Unlike similar forensic applications using human DNA, the rapid rate of microbial genome evolution combined with the dynamics of infectious disease require a shift in thinking on what it means for two samples to 'match' in support of a forensic hypothesis. Previous outbreaks for SARS-CoV, FMDV and HIV were examined to investigate the question of how microbial sequence data can be used to draw inferences that link two infected individuals by direct transmission. The results are counter intuitive with respect to human DNA forensic applications in that some genetic change rather than exact matching improve confidence in inferring direct transmission links, however, too much genetic change poses challenges, which can weaken confidence in inferred links. High rates of infection coupled with relatively weak selective pressure observed in the SARS-CoV and FMDV data lead to fairly low confidence for direct transmission links. Confidence values for forensic hypotheses increased when testing for the possibility that samples are separated by at most a few intermediate hosts. Moreover, the observed outbreak conditions support the potential to provide high confidence values for hypothesis that exclude direct transmission links. Transmission inferences are based on the total number of observed or inferred genetic changes separating two sequences rather than uniquely weighing the importance of any one genetic mismatch. Thus, inferences are surprisingly robust in the presence of sequencing errors provided the error rates are randomly distributed across all samples in the reference outbreak database and the novel sequence samples in question. When the number of observed nucleotide mutations are limited due to characteristics of the outbreak or the availability of only partial rather than whole genome sequencing, indel information was shown to have the potential to improve performance but only for select outbreak conditions. In examined HIV transmission cases, extended evolution proved to be the limiting factor in assigning high confidence to transmission links, however, the potential to correct for extended evolution not associated with transmission events is demonstrated. Outbreak specific conditions such as selective pressure (in the form of varying mutation rate), are shown to impact the strength of inference made and a Monte Carlo simulation tool is introduced, which is used to provide upper and lower bounds on the confidence values associated with a forensic hypothesis.

Allen, J; Velsko, S

2009-11-16T23:59:59.000Z

39

Statistical Alignment: Computational Properties, Homology Testing and Goodness-of-Fit  

E-Print Network [OSTI]

presented by Thorne, Kishino and Felsenstein can be simpli®ed. Two proteins, about 1500 amino acids long. This test has statistical advantages relative to the traditional shufŻe test for proteins. Finally, we that the statistical approach to alignment is computationally too slow and partly due to the lack of user-friendly pro

Hein, Jotun

40

Fracture testing of Edwards limestone: a statistical treatment  

E-Print Network [OSTI]

to represent strength data. It is the authors contention that assigning statistical distributions to "material properties" is preferred over assigning fixed constant values. Weibul1 [6] states, "the lack of agreement between the theory of strength... of materials and engineering practice is due to an unallowable extension of the limits of the theory of elasticity in its applications. " Weibull's view is that this lack of agreement between theory and practice is of fundamental nature and is caused...

Redding, David Earl

2012-06-07T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" 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

A new goodness of fit test: the reversed Berk-Jones statistic  

E-Print Network [OSTI]

probabilites (corresponding to the power of the tests) of our new bands with the (corrected version of) Owen confidence bands for F by inverting the Berk and Jones test, and then calculates the power associatedA new goodness of fit test: the reversed Berk-Jones statistic Leah Jager1 and Jon A. Wellner2

Washington at Seattle, University of

42

TRANSIT TIMING OBSERVATIONS FROM KEPLER. VI. POTENTIALLY INTERESTING CANDIDATE SYSTEMS FROM FOURIER-BASED STATISTICAL TESTS  

SciTech Connect (OSTI)

We analyze the deviations of transit times from a linear ephemeris for the Kepler Objects of Interest (KOI) through quarter six of science data. We conduct two statistical tests for all KOIs and a related statistical test for all pairs of KOIs in multi-transiting systems. These tests identify several systems which show potentially interesting transit timing variations (TTVs). Strong TTV systems have been valuable for the confirmation of planets and their mass measurements. Many of the systems identified in this study should prove fruitful for detailed TTV studies.

Steffen, Jason H. [Fermilab Center for Particle Astrophysics, P.O. Box 500, MS 127, Batavia, IL 60510 (United States); Ford, Eric B. [Astronomy Department, University of Florida, 211 Bryant Space Sciences Center, Gainesville, FL 32111 (United States); Rowe, Jason F.; Borucki, William J.; Bryson, Steve; Caldwell, Douglas A.; Jenkins, Jon M.; Koch, David G.; Sanderfer, Dwight T.; Seader, Shawn; Twicken, Joseph D. [NASA Ames Research Center, Moffett Field, CA 94035 (United States); Fabrycky, Daniel C. [UCO/Lick Observatory, University of California, Santa Cruz, CA 95064 (United States); Holman, Matthew J. [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States); Welsh, William F. [Astronomy Department, San Diego State University, San Diego, CA 92182-1221 (United States); Batalha, Natalie M. [Department of Physics and Astronomy, San Jose State University, San Jose, CA 95192 (United States); Ciardi, David R. [NASA Exoplanet Science Institute/California Institute of Technology, Pasadena, CA 91125 (United States); Kjeldsen, Hans [Department of Physics and Astronomy, Aarhus University, DK-8000 Aarhus C (Denmark); Prsa, Andrej, E-mail: jsteffen@fnal.gov [Department of Astronomy and Astrophysics, Villanova University, 800 East Lancaster Avenue, Villanova, PA 19085 (United States)

2012-09-10T23:59:59.000Z

43

Statistical Hypothesis Testing by Weak-Value Amplification: Proposal and Evaluation  

E-Print Network [OSTI]

We study the detection capability of the weak-value amplification on the basis of the statistical hypothesis testing. We propose a reasonable testing method in the physical and statistical senses to find that the weak measurement with the large weak value has the advantage to reduce the possibility of missing the presence of interaction. Our present work overcomes the critical dilemma of the weak-value amplification that the larger the amplification is, the smaller the number of data becomes, because the statistical hypothesis testing works even for a small number of data. This is contrasted with the parameter estimation by the weak-value amplification in the literature which requires a large number of data.

Yuki Susa; Saki Tanaka

2015-02-23T23:59:59.000Z

44

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

E-Print Network [OSTI]

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

Schmidt, Volker

45

Evaluating summary statistics used to test for incomplete lineage sorting: mito-nuclear discordance in the reef  

E-Print Network [OSTI]

Evaluating summary statistics used to test for incomplete lineage sorting: mito-nuclear discordance and simulated data when testing drivers of mito-nuclear discordance in a statistical frame- work. While earlier for mitochon- drial COI. Coalescent simulations and neutrality tests suggested that mito-nuclear dis- cordance

Hellberg, Michael E.

46

Ensuring Positiveness of the Scaled Di?erence Chi-square Test Statistic  

E-Print Network [OSTI]

M 1 , and gives the ML statistic T 1 . Compute the SB robustkurtosis. Computational Statistics, 17, 117-122. Browne, M.for chi-square statistics in covariance structure analysis.

Albert Satorra; Peter M. Bentler

2011-01-01T23:59:59.000Z

47

Ensuring Positiveness of the Scaled Di?erence Chi-square Test Statistic  

E-Print Network [OSTI]

M 1 , and gives the ML statistic T 1 . Compute the SB robustkurtosis. Computational Statistics, 17, 117-122. Browne, M.for chi-square statistics in covariance structure analysis.

Satorra, Albert; Bentler, P M

2008-01-01T23:59:59.000Z

48

Statistical test of Duane-Hunt's law and its comparison with an alternative law  

E-Print Network [OSTI]

Using Pearson correlation coefficient a statistical analysis of Duane-Hunt and Kulenkampff's measurement results was performed. This analysis reveals that empirically based Duane-Hunt's law is not entirely consistent with the measurement data. The author has theoretically found the action of electromagnetic oscillators, which corresponds to Planck's constant, and also has found an alternative law based on the classical theory. Using the same statistical method, this alternative law is likewise tested, and it is proved that the alternative law is completely in accordance with the measurements. The alternative law gives a relativistic expression for the energy of electromagnetic wave emitted or absorbed by atoms and proves that the empirically derived Planck-Einstein's expression is only valid for relatively low frequencies. Wave equation, which is similar to the Schr\\"odinger equation, and wavelength of the standing electromagnetic wave are also established by the author's analysis. For a relatively low energy this wavelength becomes equal to the de Broglie wavelength. Without any quantum conditions, the author made a formula similar to the Rydberg's formula, which can be applied to the all known atoms, neutrons and some hyperons.

Milan Perkovac

2010-10-28T23:59:59.000Z

49

Statistics 36-756: Advanced Statistics II Syllabus: Fall, 2006  

E-Print Network [OSTI]

Statistics 36-756: Advanced Statistics II Syllabus: Fall, 2006 Instructor: Stephen E. Fienberg 132G: · To consider major topics from statistical theory and the foundations of inference not covered in Statistics 36-756: Advanced Statistics I, such as exchangeability, the axiomatic foundation of subjective probability

Fienberg, Stephen E.

50

On the use of resampling tests for evaluating statistical significance of binding-site co-occurrence  

E-Print Network [OSTI]

METHODOLOGY ARTICLE Open Access On the use of resampling tests for evaluating statistical significance of binding-site co-occurrence David S Huen1*, Steven Russell1,2 Abstract Background: In eukaryotes, most DNA-binding proteins exert their action... : Functional Anatomy of Polycomb and Trithorax chromatin landscapes in Drosophila embryos. Plos Biology 2009, 7:e1000013. 7. Solomon MJ, Larsen PL, Varshavsky A: Mapping protein-DNA interactions in vivo with formaldehyde - evidence that histone H4 is retained...

Huen, David S; Russell, Steven R

2010-06-30T23:59:59.000Z

51

Statistics and Differential Geometry 18-466 Mathematical Statistics  

E-Print Network [OSTI]

Statistics and Differential Geometry 18-466 Mathematical Statistics Jerome Le Ny December 14, 2005 of statistical curvature [Efr75], that most of the main concepts and methods of differ- ential geometry are of substantial interest in connection with the theory of statistical inference. This report describes in simple

Le Ny, Jerome

52

Statistical methods to infer biological interactions  

E-Print Network [OSTI]

Biological systems are extremely complex, and our ability to experimentally measure interactions in these systems is limited by inherent noise. Technological advances have allowed us to collect unprecedented amounts of raw ...

Tucker, George Jay

2014-01-01T23:59:59.000Z

53

STATISTICS COLLOQUIUM MONDAY, SEPTEMBER 12, 2011  

E-Print Network [OSTI]

STATISTICS COLLOQUIUM MONDAY, SEPTEMBER 12, 2011 TALK: 4:00 PM -- SCIENCE CENTER RM. 309 RECEPTION Dasgupta Statistics Department Harvard University ABSTRACT A framework for causal inference from two experiments. The framework allows for statistical inference from a finite population, permits definition

Schrag, Daniel

54

ES/STAT 251: SIGNAL & IMAGE PROCESSING AND INFER-ENCE USING WAVELETS (Fall 2005)  

E-Print Network [OSTI]

to participants' interests. Graduate-level researchers from all science and engineering disciplines are welcome a problem in inference for signal or image processing. Prerequisites Engineering Sciences 156 or equivalent, knowledge of probability theory and/or statistics at the level of Statistics 110/111 or above

Wolfe, Patrick J.

55

Statistical Analysis of Transient Cycle Test Results in a 40 CFR Part 1065  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage » SearchEnergyDepartmentScopingOverviewFranklin M.Engine Dynamometer Test Cell

56

A new statistical dispersion model for tracer tests and contaminant spread in porous media  

SciTech Connect (OSTI)

Dispersion of solutes moving in permeable media is an essential control to describe fluid flow in permeable media. Dispersion can be thought of as a spreading of a solute caused by the presence of microscopic inhomogeneities. An accurate model for dispersion is needed for accurate estimation of oil recovery efficiencies and clean up costs of subsurface contaminants. Current approaches utilizing the fickian assumption fall short in describing the real physics of spreading during a solute transport process. Numerous field investigations have shown that dispersivities measured in the field are much larger than those measured in the lab for the same type of porous material. Moreover, field measured dispersivities have been shown to be scale dependent, that is, a tracer test conducted over a longer travel path will yield a larger dispersivity value than a tracer test conducted in the same geologic formation over a shorter travel path. Numerous approaches to address this problem have been developed yet none attempted to go beyond the Fickian dispersion assumption. In this study, a convective dispersivity is introduced. New model assumes that dispersion is dimensionless and mainly determined by pore size distribution. The new model results in a spread that increases linearly with time contrary to conventional model, which predicts a mixing zone length that increases with square root of time. Therefore, new model explains the field test results that indicate increasing dispersivity with distance. The model validations are in perfect agreement with experimental results, which include; Ganapathy et al.`s slug experiment on Antolini sandstone, Handy`s radioactive tracer experiment on Alhambra sandstone, and CT experiment conducted at BDM-OK/NIPER facilities on Tallant sandstone.

Ates, H.; Kasap, E. [Univ. of Tulsa, OK (United States)

1995-12-31T23:59:59.000Z

57

Focused active inference  

E-Print Network [OSTI]

In resource-constrained inferential settings, uncertainty can be efficiently minimized with respect to a resource budget by incorporating the most informative subset of observations - a problem known as active inference. ...

Levine, Daniel S., Ph. D. Massachusetts Institute of Technology

2014-01-01T23:59:59.000Z

58

Computationally efficient Bayesian inference for inverse problems.  

SciTech Connect (OSTI)

Bayesian statistics provides a foundation for inference from noisy and incomplete data, a natural mechanism for regularization in the form of prior information, and a quantitative assessment of uncertainty in the inferred results. Inverse problems - representing indirect estimation of model parameters, inputs, or structural components - can be fruitfully cast in this framework. Complex and computationally intensive forward models arising in physical applications, however, can render a Bayesian approach prohibitive. This difficulty is compounded by high-dimensional model spaces, as when the unknown is a spatiotemporal field. We present new algorithmic developments for Bayesian inference in this context, showing strong connections with the forward propagation of uncertainty. In particular, we introduce a stochastic spectral formulation that dramatically accelerates the Bayesian solution of inverse problems via rapid evaluation of a surrogate posterior. We also explore dimensionality reduction for the inference of spatiotemporal fields, using truncated spectral representations of Gaussian process priors. These new approaches are demonstrated on scalar transport problems arising in contaminant source inversion and in the inference of inhomogeneous material or transport properties. We also present a Bayesian framework for parameter estimation in stochastic models, where intrinsic stochasticity may be intermingled with observational noise. Evaluation of a likelihood function may not be analytically tractable in these cases, and thus several alternative Markov chain Monte Carlo (MCMC) schemes, operating on the product space of the observations and the parameters, are introduced.

Marzouk, Youssef M.; Najm, Habib N.; Rahn, Larry A.

2007-10-01T23:59:59.000Z

59

From association to causation: Some remarks on the history of statistics  

E-Print Network [OSTI]

The “numerical method ” in medicine goes back to Pierre Louis ’ study of pneumonia (1835), and John Snow’s book on the epidemiology of cholera (1855). Snow took advantage of natural experiments and used convergent lines of evidence to demonstrate that cholera is a waterborne infectious disease. More recently, investigators in the social and life sciences have used statistical models and significance tests to deduce cause-and-effect relationships from patterns of association; an early example is Yule’s study on the causes of poverty (1899). In my view, this modeling enterprise has not been successful. Investigators tend to neglect the difficulties in establishing causal relations, and the mathematical complexities obscure rather than clarify the assumptions on which the analysis is based. Formal statistical inference is, by its nature, conditional. If maintained hypotheses A, B, C,... hold, then H can be tested against the data. However, if A, B, C,... remain in doubt, so must inferences about H. Careful scrutiny of maintained hypotheses should therefore be a critical part of empirical work—a principle honored more often in the breach than the observance. Snow’s work on cholera will be contrasted with modern studies that depend on statistical models and tests of significance. The examples may help to clarify the limits of current statistical techniques for making causal inferences from patterns of association. 1.

David Freedman

1999-01-01T23:59:59.000Z

60

First X-ray-Based Statistical Tests for Clumpy-Torus Models: Eclipse Events from 230 Years of Monitoring of Seyfert AGN  

E-Print Network [OSTI]

We present an analysis of multi-timescale variability in line-of-sight X-ray absorbing gas as a function of optical classification in a large sample of Seyfert AGN to derive the first X-ray statistical constraints for clumpy-torus models. We systematically search for discrete absorption events in the vast archive of RXTE monitoring of dozens of nearby type I and Compton-thin type II AGN. We are sensitive to discrete absorption events due to clouds of full-covering, neutral or mildly ionized gas with columns <~ 10^(22-25) cm^-2 transiting the line of sight. We detect 12 eclipse events in 8 objects, roughly tripling the number previously published from this archive. Peak column densities span ~ 4-26 x 10^22 cm^-2. Event durations span hours to months. The column density profile for an eclipsing cloud in NGC 3783 is doubly spiked, possibly indicating a cloud that is being tidally sheared. We infer the clouds' distances from the black hole to span ~0.3 -140 x 10^4 R_g. In seven objects, the clouds' distances a...

Markowitz, Alex; Nikutta, Robert

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" 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.


61

Statistics Overall Statistics  

E-Print Network [OSTI]

2012 Beaver Computing Challenge Results Sponsor: 1 #12;Statistics Overall Statistics Number.24/6 Glasses: 1.74/4 Text Machine: 5.54/8 Hierarchical Structure: 2.98/6 Bebrocarina: 2.14/4 Beaver Navigation: 5.06/8 Beaver Pyramid: 3.23/6 Change Direction: 1.45/4 Power Generation: 5.56/8 Rotating Puzzle: 5

Czarnecki, Krzysztof

62

Global Statistics  

E-Print Network [OSTI]

of Globalization: Statistics Weiss, L. (1997). "of Globalization: Statistics Milanovic, B. (1999). Truethe focus of global statistics, particularly in relation to

Crow, Ben D

2006-01-01T23:59:59.000Z

63

Statistical Sciences  

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

of Experiments Reliability Bayesian Methods Statistical Computation Statistical Graphics and Visualization Analysis of Measurement Systems Projects Data Analysis System...

64

Paper title: A practical model-based statistical approach for generating functional test cases: application in the automotive  

E-Print Network [OSTI]

: application in the automotive industry Authors: Roy AWEDIKIAN (Corresponding Author) Affiliation 1 Affiliation 2 : Johnson Controls Automotive Electronics Electronics Division Europe Parc Saint Christophe. This approach was tested on two representative case studies from the automotive industry. The experiment

Paris-Sud XI, Université de

65

Statistical Laboratory & Department of Statistics  

E-Print Network [OSTI]

Statistical Laboratory & Department of Statistics Annual Report July 1, 2005 to December 31, 2006...............................................33 Statistical Computing Section ......................................34 CSSM and statistical methodology in the nutritional sciences. We were also very pleased to secure a permanent lecturer

66

"Reliability Inference Based on Multistate and Degradation Models"  

E-Print Network [OSTI]

"Reliability Inference Based on Multistate and Degradation Models" Vijay Nair Department of Georgia Department of Statistics Colloquium Series Reliability or survival analysis is traditionally based on time-to-failure data. In high- reliability applications, there is usually a high degree of censoring

Arnold, Jonathan

67

Eigen-Inference for Energy Estimation of Multiple Sources  

E-Print Network [OSTI]

by overlaying the spectrum licensed to outdoors R. Couillet and M. Debbah are with the Alcatel-Lucent Chair techniques. Index Terms--Statistical inference, random matrix theory, power estimation, cognitive radio, G-estimation. I. INTRODUCTION At a time when radio resources become scarce, the alterna- tive offered by cognitive

68

Statistical identification  

E-Print Network [OSTI]

Statistical identification of critical, dependent and redundant articulators Veena D Singampalli of articulatory roles Evaluation by exhaustive search and trajectory generation Summary Statistical identification, Belgium #12;Statistical identification of critical, dependent and redundant articulators Veena D

Jackson, Philip JB

69

Statistical identification  

E-Print Network [OSTI]

Statistical identification of critical, dependent and redundant articulators Philip Jackson & Veena Statistical identification of critical, dependent and redundant articulators Philip Jackson & Veena Acoustics'08 Paris #12;Statistical identification of critical, dependent and redundant articulators Philip

Jackson, Philip JB

70

32. Statistics 1 32. STATISTICS  

E-Print Network [OSTI]

32. Statistics 1 32. STATISTICS Revised September 2007 by G. Cowan (RHUL). This chapter gives an overview of statistical methods used in High Energy Physics. In statistics, we are interested in using's validity or to determine the values of its parameters. There are two main approaches to statistical

Masci, Frank

71

Statistical Analysis and Geologic Evaluation of Laboratory-Derived Physical Property Data for Selected Nevada Test Site Core Samples of Non-Zeolitized Tuffs  

SciTech Connect (OSTI)

A statistical analysis and geologic evaluation of recently acquired laboratory-derived physical property data are being performed to better understand and more precisely correlate physical properties with specific geologic parameters associated with non-zeolitized tuffs at the Nevada Test Site. Physical property data include wet and dry bulk density, grain density (i.e., specific gravity), total porosity, and effective porosity. Geologic parameters utilized include degree of welding, lithology, stratigraphy, geographic area, and matrix mineralogy (i.e., vitric versus devitrified). Initial results indicate a very good correlation between physical properties and geologic parameters such as degree of welding, lithology, and matrix mineralogy. However, physical properties appear to be independent of stratigraphy and geographic area, suggesting that the data are transferrable with regards to these two geologic parameters. Statistical analyses also indicate that the assumed grain density of 2.65 grams per cubic centimeter used to calculate porosity in some samples is too high. This results in corresponding calculated porosity values approximately 5 percent too high (e.g., 45 percent versus 40 percent), which can be significant in the lower porosity rocks. Similar analyses and evaluations of zeolitic tuffs and carbonate rock physical properties data are ongoing as well as comparisons to geophysical log values.

NSTec Environmental Restoration

2009-04-20T23:59:59.000Z

72

New Statistical Bound for Inference Problems on Riemannian Manifolds  

E-Print Network [OSTI]

Barroso Instituto Sistemas e Rob´otica (ISR), Instituto Superior T´ecnico (IST) Lisbon, Portugal #12

73

Journal of Statistical Planning and Inference 105 (2002) 233264  

E-Print Network [OSTI]

that there will be a signiĂżcant increase in the price of oil in the near future". A key idea on which perception-based theory probabilities has a long history (Walley, 1991) but the issue is of much greater importance today than

California at Irvine, University of

74

Journal of Statistical Planning and Inference 136 (2006) 15541567  

E-Print Network [OSTI]

activity, abortion, or other sensitive topics, is a difficult task. Individuals are not often willing is small. This is compounded by the problem that randomized-response techniques

Kim, Jong-Min

75

Statistical Mechanics of On-line learning Michael Biehl1  

E-Print Network [OSTI]

Statistical Mechanics of On-line learning Michael Biehl1 , Nestor Caticha2 , and Peter Riegler3 1 Wolfenb¨uttel, Germany Abstract. We introduce and discuss the application of statistical physics concepts Introduction The perception that Statistical Mechanics is an inference theory has opened the possibility

Biehl, Michael

76

XIAOQIAN SUN As of January 2014 Associate Professor of Statistics  

E-Print Network [OSTI]

XIAOQIAN SUN As of January 2014 Associate Professor of Statistics Department of Mathematical statistics and Stochastic scheduling PUBLICATIONS: Refereed Journal Publications 1. M. Wang, X. Sun (2013 of Statistical Planning and Inference, ac- cepted for publication 2. M. Wang, J. Zhao, X. Sun and C. Park (2013

Sun, Xiaoqian

77

Statistics applied to safeguards  

SciTech Connect (OSTI)

Statistical methods are central to safeguards work. Measurements forming the basis of much materials accountancy are not perfect - ``perfect`` in the sense of being error free. Other sessions in this course address the destructive and nondestructive measurement of nuclear material, together with the inherent limitations in those measurements. The bottom line is that measurement errors are a fact of life and, since we can`t eliminate them, we have to find a rational way to deal with them. Which leads to the world of statistics. Beyond dealing with measurement errors, another area of statistical application involves the sampling of items for verification. Inspectors from the IAEA and domestic regulatory agencies periodically visit operating facilities and make measurements of selected items. By comparing their own measured values to those declared by the facilities, increased confidence is obtained. If verification measurements were not expensive, time consuming, and disruptive to operations, perhaps verification of 100% of the inventories would be desirable. In reality, many constraints lead to inspection of only a portion of those inventories. Drawing inferences about a larger ``population`` of declared items in a facility based on verification information obtained from a sample of those items is a statistical problem. There are few texts on statistics in safeguards. The lengthy exposition ``IAEA Safeguards: Statistical Concepts and Techniques`` and the US NRC book edited by Bowen and Bennet are two good sources of general information. In the next section, the subject of measurement quality is addressed. The third section covers the evaluation of MUFs, and discusses the related subjects of error propagation and sequential analysis. The final section covers verification, inspection sample size calculations, and the D statistic. The text is written at an elementary level, with references to the safeguards literature for more detailed treatment.

Picard, R.R.

1993-05-01T23:59:59.000Z

78

Statistics applied to safeguards  

SciTech Connect (OSTI)

Statistical methods are central to safeguards work. Measurements forming the basis of much materials accountancy are not perfect - perfect'' in the sense of being error free. Other sessions in this course address the destructive and nondestructive measurement of nuclear material, together with the inherent limitations in those measurements. The bottom line is that measurement errors are a fact of life and, since we can't eliminate them, we have to find a rational way to deal with them. Which leads to the world of statistics. Beyond dealing with measurement errors, another area of statistical application involves the sampling of items for verification. Inspectors from the IAEA and domestic regulatory agencies periodically visit operating facilities and make measurements of selected items. By comparing their own measured values to those declared by the facilities, increased confidence is obtained. If verification measurements were not expensive, time consuming, and disruptive to operations, perhaps verification of 100% of the inventories would be desirable. In reality, many constraints lead to inspection of only a portion of those inventories. Drawing inferences about a larger population'' of declared items in a facility based on verification information obtained from a sample of those items is a statistical problem. There are few texts on statistics in safeguards. The lengthy exposition IAEA Safeguards: Statistical Concepts and Techniques'' and the US NRC book edited by Bowen and Bennet are two good sources of general information. In the next section, the subject of measurement quality is addressed. The third section covers the evaluation of MUFs, and discusses the related subjects of error propagation and sequential analysis. The final section covers verification, inspection sample size calculations, and the D statistic. The text is written at an elementary level, with references to the safeguards literature for more detailed treatment.

Picard, R.R.

1993-01-01T23:59:59.000Z

79

Statistical Decisions Using Likelihood Information Without Prior Probabilities  

E-Print Network [OSTI]

This paper presents a decision-theoretic approach to statistical inference that satisfies the Likelihood Principle (LP) without using prior information. Unlike the Bayesian approach, which also satisfies LP, we do not ...

Giang, Phan H.; Shenoy, Prakash P.

2002-08-01T23:59:59.000Z

80

Term statistics Zipf's law text statistics  

E-Print Network [OSTI]

Term statistics Zipf's law text statistics October 20, 2014 text statistics 1 / 19 #12;Term statistics Zipf's law Overview 1 Term statistics 2 Zipf's law text statistics 2 / 19 #12;Term statistics Zipf's law Outline 1 Term statistics 2 Zipf's law text statistics 3 / 19 #12;Term statistics Zipf's law Model

Lu, Jianguo

Note: This page contains sample records for the topic "test statistical inferences" 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

Inference for the dark energy equation of state using Type IA supernova data  

E-Print Network [OSTI]

The surprising discovery of an accelerating universe led cosmologists to posit the existence of "dark energy"--a mysterious energy field that permeates the universe. Understanding dark energy has become the central problem of modern cosmology. After describing the scientific background in depth, we formulate the task as a nonlinear inverse problem that expresses the comoving distance function in terms of the dark-energy equation of state. We present two classes of methods for making sharp statistical inferences about the equation of state from observations of Type Ia Supernovae (SNe). First, we derive a technique for testing hypotheses about the equation of state that requires no assumptions about its form and can distinguish among competing theories. Second, we present a framework for computing parametric and nonparametric estimators of the equation of state, with an associated assessment of uncertainty. Using our approach, we evaluate the strength of statistical evidence for various competing models of dark energy. Consistent with current studies, we find that with the available Type Ia SNe data, it is not possible to distinguish statistically among popular dark-energy models, and that, in particular, there is no support in the data for rejecting a cosmological constant. With much more supernova data likely to be available in coming years (e.g., from the DOE/NASA Joint Dark Energy Mission), we address the more interesting question of whether future data sets will have sufficient resolution to distinguish among competing theories.

Christopher Genovese; Peter Freeman; Larry Wasserman; Robert Nichol; Christopher Miller

2009-05-18T23:59:59.000Z

82

Statistical Convergence and Convergence in Statistics  

E-Print Network [OSTI]

Statistical convergence was introduced in connection with problems of series summation. The main idea of the statistical convergence of a sequence l is that the majority of elements from l converge and we do not care what is going on with other elements. We show (Section 2) that being mathematically formalized the concept of statistical convergence is directly connected to convergence of such statistical characteristics as the mean and standard deviation. At the same time, it known that sequences that come from real life sources, such as measurement and computation, do not allow, in a general case, to test whether they converge or statistically converge in the strict mathematical sense. To overcome limitations induced by vagueness and uncertainty of real life data, neoclassical analysis has been developed. It extends the scope and results of the classical mathematical analysis by applying fuzzy logic to conventional mathematical objects, such as functions, sequences, and series. The goal of this work is the further development of neoclassical analysis. This allows us to reflect and model vagueness and uncertainty of our knowledge, which results from imprecision of measurement and inaccuracy of computation. In the context on the theory of fuzzy limits, we develop the structure of statistical fuzzy convergence and study its properties.

Mark Burgin; Oktay Duman

2006-12-07T23:59:59.000Z

83

Global seismic monitoring as probabilistic inference Nimar S. Arora  

E-Print Network [OSTI]

Global seismic monitoring as probabilistic inference Nimar S. Arora Department of Computer Science of the Comprehensive Nuclear-Test-Ban Treaty (CTBT), primarily through detection and localization of seismic events. We nuclear explosions. A global network of seismic, radionuclide, hydroacoustic, and infrasound sensors

Russell, Stuart

84

Private Inference Control David Woodruff  

E-Print Network [OSTI]

learning what information is being retrieved. PIC is a generalization of private information retrieval (PIR using PIR (simply omit sensitive information from the database), it is nontrivial to implement inference this problem private information retrieval (PIR) schemes (see, for example, [16, 34]) have been developed

85

Private Inference Control David Woodru# #  

E-Print Network [OSTI]

learning what information is being retrieved. PIC is a generalization of private information retrieval (PIR using PIR (simply omit sensitive information from the database), it is nontrivial to implement inference this problem private information retrieval (PIR) schemes (see, for example, [16, 34]) have been developed

86

An Introduction to Causal Inference*  

E-Print Network [OSTI]

An Introduction to Causal Inference* Richard Scheines In Causation, Prediction, and Search (CPS in Glymour's paper or in CPS, which are clear although sometimes dense. Here I attempt to fix intuitions by highlighting a few of the essential ideas and by providing extremely simple examples throughout. The route I

Spirtes, Peter

87

An Introduction to Causal Inference  

E-Print Network [OSTI]

An Introduction to Causal Inference Richard Scheines In Causation, Prediction, and Search (CPS in Glymour's paper or in CPS, which are clear although sometimes dense. Here I attempt to fix intuitions by highlighting a few of the essential ideas and by providing extremely simple examples throughout. The route I

Spirtes, Peter

88

Lifetime Prediction for Degradation of Solar Mirrors using Step-Stress Accelerated Testing (Presentation)  

SciTech Connect (OSTI)

This research is to illustrate the use of statistical inference techniques in order to quantify the uncertainty surrounding reliability estimates in a step-stress accelerated degradation testing (SSADT) scenario. SSADT can be used when a researcher is faced with a resource-constrained environment, e.g., limits on chamber time or on the number of units to test. We apply the SSADT methodology to a degradation experiment involving concentrated solar power (CSP) mirrors and compare the results to a more traditional multiple accelerated testing paradigm. Specifically, our work includes: (1) designing a durability testing plan for solar mirrors (3M's new improved silvered acrylic "Solar Reflector Film (SFM) 1100") through the ultra-accelerated weathering system (UAWS), (2) defining degradation paths of optical performance based on the SSADT model which is accelerated by high UV-radiant exposure, and (3) developing service lifetime prediction models for solar mirrors using advanced statistical inference. We use the method of least squares to estimate the model parameters and this serves as the basis for the statistical inference in SSADT. Several quantities of interest can be estimated from this procedure, e.g., mean-time-to-failure (MTTF) and warranty time. The methods allow for the estimation of quantities that may be of interest to the domain scientists.

Lee, J.; Elmore, R.; Kennedy, C.; Gray, M.; Jones, W.

2011-09-01T23:59:59.000Z

89

Bayesian time series models and scalable inference  

E-Print Network [OSTI]

With large and growing datasets and complex models, there is an increasing need for scalable Bayesian inference. We describe two lines of work to address this need. In the first part, we develop new algorithms for inference ...

Johnson, Matthew James, Ph. D. Massachusetts Institute of Technology

2014-01-01T23:59:59.000Z

90

Rainbow statistics  

E-Print Network [OSTI]

Non-commutative quantum field theories and their global quantum group symmetries provide an intriguing attempt to go beyond the realm of standard local quantum field theory. A common feature of these models is that the quantum group symmetry of their Hilbert spaces induces additional structure in the multiparticle states which reflects a non-trivial momentum-dependent statistics. We investigate the properties of this "rainbow statistics" in the particular context of $\\kappa$-quantum fields and discuss the analogies/differences with models with twisted statistics.

Michele Arzano; Dario Benedetti

2008-09-04T23:59:59.000Z

91

Step-Stress Accelerated Degradation Testing for Solar Reflectors: Preprint  

SciTech Connect (OSTI)

To meet the challenge to reduce the cost of electricity generated with concentrating solar power (CSP) new low-cost reflector materials are being developed including metalized polymer reflectors and must be tested and validated against appropriate failure mechanisms. We explore the application of testing methods and statistical inference techniques for quantifying estimates and improving lifetimes of concentrating solar power (CSP) reflectors associated with failure mechanisms initiated by exposure to the ultraviolet (UV) part of the solar spectrum. In general, a suite of durability and reliability tests are available for testing a variety of failure mechanisms where the results of a set are required to understand overall lifetime of a CSP reflector. We will focus on the use of the Ultra-Accelerated Weathering System (UAWS) as a testing device for assessing various degradation patterns attributable to accelerated UV exposure. Depending on number of samples, test conditions, degradation and failure patterns, test results may be used to derive insight into failure mechanisms, associated physical parameters, lifetimes and uncertainties. In the most complicated case warranting advanced planning and statistical inference, step-stress accelerated degradation (SSADT) methods may be applied.

Jones, W.; Elmore, R.; Lee, J.; Kennedy, C.

2011-09-01T23:59:59.000Z

92

Engineering Statistics From "Engineering Statistics" , Top &  

E-Print Network [OSTI]

Engineering Statistics From "Engineering Statistics" , Top & Wiley, Prapaisri & Pongchanun 2 From "Engineering Statistics" , Top & Wiley, Prapaisri & Pongchanun 3 " "(Sample) (Sampling) ""(Population) " "(Statistics) ""(Parameter) From "Engineering Statistics" , Top & Wiley, Prapaisri

Kovintavewat, Piya

93

Beyond Myopic Inference in Big Data Pipelines Karthik Raman, Adith Swaminathan, Johannes Gehrke, Thorsten Joachims  

E-Print Network [OSTI]

]: Learning General Terms Algorithms, Experimentation, Theory Keywords Big Data Pipelines, Modular Design Detection & Recognition pipeline. creation, model construction, testing, and visualization. In orderBeyond Myopic Inference in Big Data Pipelines Karthik Raman, Adith Swaminathan, Johannes Gehrke

Joachims, Thorsten

94

Statistical assessment of Monte Carlo distributional tallies  

SciTech Connect (OSTI)

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

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

2010-12-09T23:59:59.000Z

95

Statistics and the Sciences  

E-Print Network [OSTI]

with Real Data ? Annals Statistics, of 5:1055-1098, 1977.The Foundations of Statistics - Are There Any ? Synthese, [Statistics and the Sciences Jan de Leeuw UCLA Statistics

Jan de Leeuw

2011-01-01T23:59:59.000Z

96

Practical Statistics for the LHC  

E-Print Network [OSTI]

This document is a pedagogical introduction to statistics for particle physics. Emphasis is placed on the terminology, concepts, and methods being used at the Large Hadron Collider. The document addresses both the statistical tests applied to a model of the data and the modeling itself.

Cranmer, Kyle

2015-01-01T23:59:59.000Z

97

From similarity to inference Matthew Weber  

E-Print Network [OSTI]

From similarity to inference Matthew Weber Princeton University Daniel Osherson Princeton anonymous referees for constructive commentary. Weber ac- knowledges support from an NSF graduate research

Osherson, Daniel

98

ISSN 1066-5307, Mathematical Methods of Statistics, 2009, Vol. 18, No. 3, pp. 241269. c Allerton Press, Inc., 2009. Minimax Goodness-of-Fit Testing  

E-Print Network [OSTI]

random uniform design points and observed with Gaussian noise of known variance. Given a positive of the suggested minimax goodness-of-fit testing methodology, covering the cases of general design schemes testing, nonparametric alternatives, nonparametric regression, random design. 2000 Mathematics Subject

Sapatinas, Theofanis

99

Spike statistics  

E-Print Network [OSTI]

In this paper we explore stochastical and statistical properties of so-called recurring spike induced Kasner sequences. Such sequences arise in recurring spike formation, which is needed together with the more familiar BKL scenario to yield a complete description of generic spacelike singularities. In particular we derive a probability distribution for recurring spike induced Kasner sequences, complementing similar available BKL results, which makes comparisons possible. As examples of applications, we derive results for so-called large and small curvature phases and the Hubble-normalized Weyl scalar.

J. Mark Heinzle; Claes Uggla

2012-12-21T23:59:59.000Z

100

Statistical Sciences  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systemsBiSiteNeutron Scattering4 ByWatchingState ofDr. Donald6 Statistical

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
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they are not comprehensive nor are they the most current set.
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to obtain the most current and comprehensive results.


101

CHRISTIAN BORGELT AND RUDOLF KRUSE ABDUCTIVE INFERENCE  

E-Print Network [OSTI]

CHRISTIAN BORGELT AND RUDOLF KRUSE ABDUCTIVE INFERENCE WITH PROBABILISTIC NETWORKS 1 INTRODUCTION Abduction is a form of non-deductive logical inference. Examples given by[Peirce, 1958], who is said to have coined the term "abduction", include the following: I once landed at a seaport in a Turkish province

Borgelt, Christian

102

CHRISTIAN BORGELT AND RUDOLF KRUSE ABDUCTIVE INFERENCE  

E-Print Network [OSTI]

CHRISTIAN BORGELT AND RUDOLF KRUSE ABDUCTIVE INFERENCE WITH PROBABILISTIC NETWORKS 1 INTRODUCTION Abduction is a form of non­deductive logical inference. Examples given by [Peirce, 1958] , who is said to have coined the term ``abduction'', include the following: I once landed at a seaport in a Turkish

Borgelt, Christian

103

INFERENCE GENERATION DURING AUDITORY LANGUAGE COMPREHENSION  

E-Print Network [OSTI]

INFERENCE GENERATION DURING AUDITORY LANGUAGE COMPREHENSION David A. Swinney Lee Osterhout I. Introduction It has become nearly axiomatic (and even likely true) to hold that inference generation during the literature rife with observations that while there is little evi- dence of "automatic" generation of certain

104

Approximate Inference and Protein-Folding  

E-Print Network [OSTI]

Approximate Inference and Protein-Folding Chen Yanover and Yair Weiss School of Computer Science Side-chain prediction is an important subtask in the protein-folding problem. We show that #12;nding algorithms, including a widely used protein-folding software (SCWRL). 1 Introduction Inference in graphical

Weiss, Yair

105

Statistical Digest No. 70 Fishery Statistics of  

E-Print Network [OSTI]

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

106

Information geometric complexity of a trivariate Gaussian statistical model  

E-Print Network [OSTI]

We evaluate the information geometric complexity of entropic motion on low-dimensional Gaussian statistical manifolds in order to quantify how difficult is making macroscopic predictions about a systems in the presence of limited information. Specifically, we observe that the complexity of such entropic inferences not only depends on the amount of available pieces of information but also on the manner in which such pieces are correlated. Finally, we uncover that for certain correlational structures, the impossibility of reaching the most favorable configuration from an entropic inference viewpoint, seems to lead to an information geometric analog of the well-known frustration effect that occurs in statistical physics.

D. Felice; C. Cafaro; S. Mancini

2014-05-30T23:59:59.000Z

107

Can cognitive processes be inferred from neuroimaging data?  

E-Print Network [OSTI]

Can cognitive processes be inferred from neuroimaging data? Russell A. Poldrack Department currently in using functional neuroimaging techniques to understand better the nature of cognition. One cognitive process is inferred from the activation of a particular brain region. Such inferences

Poldrack, Russ

108

Statistics Department University of California, Berkeley  

E-Print Network [OSTI]

John Rice Statistics Department University of California, Berkeley Joint work with Peter Bickel, no matter how rich the dictionary from which you adaptively compose a detection statistic, no matter how to be a [closet] Bayesian and choose directions a priori. Lehman & Romano. Testing Statistical Hypotheses. Chapt

California at Santa Cruz, University of

109

Testing with JUnit Testing with JUnit  

E-Print Network [OSTI]

Testing with JUnit Testing with JUnit Running a test case: 1 Get the component to a known state (set up). 2 Cause some event (the test case). 3 Check the behaviour. · Record pass/fail · Track statistics · Typically we want to do a lot of test cases so it makes sense to automate. · Test cases

Peters, Dennis

110

New methods for econometric inference  

E-Print Network [OSTI]

Monotonicity is a key qualitative prediction of a wide array of economic models derived via robust comparative statics. It is therefore important to design effective and practical econometric methods for testing this ...

Chetverikov, D. N. (Denis Nikolaevich)

2013-01-01T23:59:59.000Z

111

Statistics of Voids in the 2dF Galaxy Redshift Survey  

E-Print Network [OSTI]

We present a statistical analysis of voids in the 2dF galaxy redshift survey (2dFGRS). In order to detect the voids, we have developed two robust algorithms. We define voids as non-overlapping maximal spheres empty of halos or galaxies with mass or luminosity above a given one. We search for voids in cosmological $N$-Body simulations to test the performance of our void finders. We obtain and analyze the void statistics for several volume-limited samples for the North Galactic Strip (NGP) and the South Galactic Strip (SGP) constructed from the 2dFGRS full data release. We find that the results obtained from the NGP and the SGP are statistically compatible. From the results of several statistical tests we conclude that voids are essentially uncorrelated, with at most a mild anticorrelation and that there is a dependence of the void number density on redshift at least at the 99.5% confidence level. We develop a technique to correct the distortion caused by the fact that we use the redshift as the radial coordinate. We calibrate this technique with mock catalogues and find that the correction might be of some relevance to carry out accurate inferences from void statistics. We study the statistics of the galaxies inside nine nearby voids. We find that galaxies in voids are not randomly distributed: they form structures like filaments. We also obtain the galaxy number density profile in voids. This profile follow a similar but steeper trend to that follow by halos in voids.

Santiago G. Patiri; Juan Betancort-Rijo; Francisco Prada; Anatoly Klypin; Stefan Gottlöber

2006-10-27T23:59:59.000Z

112

Testing the Role of Source Credibility on Memory for Inferences  

E-Print Network [OSTI]

affected vehicle sales. In January 2010, automobile manufacturer Toyota announced a recall on eight of their popular models due to faulty gas pedals. According to NPR (http://www.npr.org) after the recall was lifted, Toyota sales dropped 16%, even... on vehicles that were not affected by the recall. Some of Toyota’s most faithful customers started purchasing Ford, General Motors, and Nissan vehicles, as can be seen by their increase in sales following the Toyota recall. There are other everyday...

Guillory, Jimmeka Joy

2012-10-19T23:59:59.000Z

113

Statistics Integrated MS/BS Application Local Street Address  

E-Print Network [OSTI]

# ________________________________________ BYU ID ________________________________________ ________________________________________ Year/Term Taken Math 313 3.0 Elementary Linear Algebra Math 314 3.0 Calculus of Several Variables Stat Intro 3.0 Introductory Statistics (121/151/201/301) Stat 330 3.0 Introduction to Regression Stat 340 3.0 Inference I must

Dahl, David B.

114

Inferring the Gibbs state of a small quantum system  

SciTech Connect (OSTI)

Gibbs states are familiar from statistical mechanics, yet their use is not limited to that domain. For instance, they also feature in the maximum entropy reconstruction of quantum states from incomplete measurement data. Outside the macroscopic realm, however, estimating a Gibbs state is a nontrivial inference task, due to two complicating factors: the proper set of relevant observables might not be evident a priori; and whenever data are gathered from a small sample only, the best estimate for the Lagrange parameters is invariably affected by the experimenter's prior bias. I show how the two issues can be tackled with the help of Bayesian model selection and Bayesian interpolation, respectively, and illustrate the use of these Bayesian techniques with a number of simple examples.

Rau, Jochen [Institut fuer Theoretische Physik, Johann Wolfgang Goethe-Universitaet, Max-von-Laue-Strasse 1, D-60438 Frankfurt am Main (Germany)

2011-07-15T23:59:59.000Z

115

Probable Inference and Quantum Mechanics  

SciTech Connect (OSTI)

In its current very successful interpretation the quantum theory is fundamentally statistical in nature. Although commonly viewed as a probability amplitude whose (complex) square is a probability, the wavefunction or state vector continues to defy consensus as to its exact meaning, primarily because it is not a physical observable. Rather than approach this problem directly, it is suggested that it is first necessary to clarify the precise role of probability theory in quantum mechanics, either as applied to, or as an intrinsic part of the quantum theory. When all is said and done the unsurprising conclusion is that quantum mechanics does not constitute a logic and probability unto itself, but adheres to the long-established rules of classical probability theory while providing a means within itself for calculating the relevant probabilities. In addition, the wavefunction is seen to be a description of the quantum state assigned by an observer based on definite information, such that the same state must be assigned by any other observer based on the same information, in much the same way that probabilities are assigned.

Grandy, W. T. Jr. [Department of Physics and Astronomy, University of Wyoming, Laramie, WY 82070 (United States)

2009-12-08T23:59:59.000Z

116

Bayesian inference from composite likelihoods Mathieu Ribatet 1 / 29 Bayesian inference from composite likelihoods, with an  

E-Print Network [OSTI]

Bayesian inference from composite likelihoods Mathieu Ribatet ­ 1 / 29 Bayesian inference from composite likelihoods, with an application to spatial extremes D. Cooley, A. Davison, M. Ribatet Department composite likelihoods Mathieu Ribatet ­ 2 / 29 MOTIVATIONS: The likelihood is central to both frequentist

Ribatet, Mathieu

117

FISHERY STATISTICS UNITED STATES  

E-Print Network [OSTI]

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

118

FISHERY STATISTICS UNITED STATES  

E-Print Network [OSTI]

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

119

Automatic transformations in the inference process  

SciTech Connect (OSTI)

A technique for incorporating automatic transformations into processes such as the application of inference rules, subsumption, and demodulation provides a mechanism for improving search strategies for theorem proving problems arising from the field of program verification. The incorporation of automatic transformations into the inference process can alter the search space for a given problem, and is particularly useful for problems having broad rather than deep proofs. The technique can also be used to permit the generation of inferences that might otherwise be blocked and to build some commutativity or associativity into the unification process. Appropriate choice of transformations, and new literal clashing and unification algorithms for applying them, showed significant improvement on several real problems according to several distinct criteria. 22 references, 1 figure.

Veroff, R. L.

1980-07-01T23:59:59.000Z

120

Statistical Abstract 2013  

E-Print Network [OSTI]

Kansas Statistical Abstract 2013 published exclusively online by Institute for Policy & Social,chapters,or the full Kansas Statistical Abstract are permitted on the condition that sources are cited. Kansas Statistical Abstract 2013 2 #12;Table of Contents Foreword

Note: This page contains sample records for the topic "test statistical inferences" from the National Library of EnergyBeta (NLEBeta).
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Statistical Laboratory established 1933  

E-Print Network [OSTI]

Statistical Laboratory established 1933 Biennial Report July 1, 1997 to June 30, 1999 #12;Index 50 years of statistics ....................... 1 Self study & external review .......... 2 Social sciences statistics ................ 3 On the lighter side........................... 6 Publications 1997

122

Statistical abduction with tabulation 1 Taisuke SATO y and Yoshitaka KAMEYA z  

E-Print Network [OSTI]

Statistical abduction with tabulation 1 Taisuke SATO y and Yoshitaka KAMEYA z Dept. of Computer. We propose statistical abduction as a first­order logical framework for representing, inferring and learning probabilistic knowledge. It semantically integrates logical abduction with a parameterized dis

Sato, Taisuke

123

Deforestation of Functional Programs through Type Inference  

E-Print Network [OSTI]

Deforestation of Functional Programs through Type Inference Olaf Chitil Lehrstuhl f¨ur Informatik II, RWTH Aachen, Germany chitil@informatik.rwth-aachen.de Abstract. Deforestation optimises structures. Short cut deforestation is a deforestation method which is based on a single, local

Kent, University of

124

Graphical models, causal inference, and econometric models  

E-Print Network [OSTI]

Graphical models, causal inference, and econometric models Peter Spirtes Abstract A graphical model modeling has historical ties to causal modeling in econometrics and other social sciences, there have been isolated from the econometric tradition. In this paper I will describe a number of recent developments

Spirtes, Peter

125

Myths, misconceptions & mistakes of bias testing  

SciTech Connect (OSTI)

The bias testing philosophy is outlined. The following topics are discussed: statistics - its only tool; testing once; experimental design; sample size; batch-mode testing; outliers; scale bias; and multivariate statistical analysis.

Gould, G.

1996-12-31T23:59:59.000Z

126

Department of Statistical Science  

E-Print Network [OSTI]

Joslin Diabetes Center LG Electronics Monsanto Risk Management Solutions Samsung Insurance (3) Statistics

Keinan, Alon

127

E-Print Network 3.0 - alternative statistical method Sample Search...  

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

the evidence for null and alternative hypotheses. Assuming... hypotheis. 2 The test statistic must ... Source: van Dyk, David - Department of Statistics, University of...

128

E-Print Network 3.0 - additive statistical effects Sample Search...  

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

Set 1. Summary: hypothesis of no treatment effect on these 12 children. Take the test statistic to be the difference... , the statistic is unbiased for the average treatment...

129

Partial Abductive Inference in Bayesian Belief Networks: An Evolutionary  

E-Print Network [OSTI]

Partial Abductive Inference in Bayesian Belief Networks: An Evolutionary Computation Approach Abductive inference in Bayesian belief networks (BBNs) is intended as the process of generating the K most's variables, this problem is called partial abductive inference. Both problems are NP­hard, and so exact

Granada, Universidad de

130

Inference of Edge Replacement Graph Grammars Jacek P. Kukluk1  

E-Print Network [OSTI]

Inference of Edge Replacement Graph Grammars Jacek P. Kukluk1 , Lawrence B. Holder2 , and Diane J@eecs.wsu.edu Abstract We describe an algorithm and experiments for inference of edge replacement graph grammars for inference of Node Replacement Recursive Graph Grammars [7]. In this paper we describe an approach

Holder, Lawrence B.

131

Cancer evolution: mathematical models and computational inference  

E-Print Network [OSTI]

and Engineering, ETH Zurich, Mattenstrasse 26, 4058 Basel, Switzerland; E-mail: niko.beerenwinkel@bsse.ethz.ch. Abstract.— Cancer is a somatic evolutionary process characterized by the accumulation of mutations, which contribute to tumor growth, clinical... Version dated: October 7, 2014 Cancer evolution Cancer evolution: mathematical models and computational inference Niko Beerenwinkel1,2, Roland F Schwarz3, Moritz Gerstung4, Florian Markowetz5 1Department of Biosystems Science and Engineering, ETH...

Beerenwinkel, Niko; Schwarz, Roland F.; Gerstung, Moritz; Markowetz, Florian

2014-10-07T23:59:59.000Z

132

Inferring the Rate-Length Law of Protein Folding  

E-Print Network [OSTI]

We investigate the rate-length scaling law of protein folding, a key undetermined scaling law in the analytical theory of protein folding. We demonstrate that chain length is a dominant factor determining folding times, and that the unambiguous determination of the way chain length corre- lates with folding times could provide key mechanistic insight into the folding process. Four specific proposed laws (power law, exponential, and two stretched exponentials) are tested against one an- other, and it is found that the power law best explains the data. At the same time, the fit power law results in rates that are very fast, nearly unreasonably so in a biological context. We show that any of the proposed forms are viable, conclude that more data is necessary to unequivocally infer the rate-length law, and that such data could be obtained through a small number of protein folding experiments on large protein domains.

Lane, Thomas J

2013-01-01T23:59:59.000Z

133

METROPOLITAN STATISTICAL AREA  

E-Print Network [OSTI]

METROPOLITAN STATISTICAL AREA OUTLOOK MORGANTOWN COLLEGE OF BUSINESS AND ECONOMICS Bureau to be repeated over the next five years. The Morgantown Metropolitan Statistical Area (MSA) had an average annual

Mohaghegh, Shahab

134

Interpreting Accident Statistics  

E-Print Network [OSTI]

Accident statistics have often been used to support the argument that an abnormally small proportion of drivers account for a large proportion of the accidents. This paper compares statistics developed from six-year data ...

Ferreira, Joseph Jr.

135

Statistics Statistique Canada Canada  

E-Print Network [OSTI]

Statistics Statistique Canada Canada Human Resources and Ressources humaines et Skills Development Canada Développement des compétences Canada Culture,Tourism and the Centre for Education Statistics about this product or the wide range of services and data available from Statistics Canada, visit our

Sinnamon, Gordon J.

136

Statistical Parsing Inside Algorithm  

E-Print Network [OSTI]

Parsing · Review · Statistical Parsing · SCFG · Inside Algorithm · Outside Algorithm NLP statistical parsing 1 · Outside Algorithm · Viterbi Algorithm · Learning models · SCFG extensions · Other NLP statistical parsing 2 language and is often viewed as an important prerequisite for building

Ageno, Alicia

137

STATISTICAL DESCRIPTION OF THE  

E-Print Network [OSTI]

STATISTICAL DESCRIPTION OF THE CHIRIKOV-TAYLOR MODEL IN THE PRESENCE OF NOISE A. B. RECHESTER that the presence of noise makes the statistical description of this system unique. Theform of the diffusion, and statistical averaging, performed ana- lytically with thepath-integral method, are the same. Some

Karney, Charles

138

POSITION OPENING APPLIED STATISTICS  

E-Print Network [OSTI]

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

Shepp, Larry

139

Statistical Scientist / Senior Statistical Scientist Biomathematics & Statistics Scotland (BioSS)  

E-Print Network [OSTI]

------------------------------------------------------------------------------- Statistical Scientist / Senior Statistical Scientist ÂŁ26,610 Biomathematics & Statistics Scotland (BioSS) statistically minded, individual to help address the range of statistical, bioinformatics and modelling problems

Edinburgh, University of

140

---BAYESIAN STATISTICS J. Bernardo,  

E-Print Network [OSTI]

as the radius of # its angular radius. If we of estimate of measuring # we can infer d. was first by Brahe in th is in hindsight no surprise; the actual diameters largest to hundreds larger angular are thousands of times Tycho's estimate. Tycho's Fortunately, is a way to estimate From the Stefan­Boltzmann luminosity of spherical

Jefferys, William

Note: This page contains sample records for the topic "test statistical inferences" 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

System and method for statistically monitoring and analyzing sensed conditions  

DOE Patents [OSTI]

A system and method of monitoring and analyzing a plurality of attributes for an alarm condition is disclosed. The attributes are processed and/or unprocessed values of sensed conditions of a collection of a statistically significant number of statistically similar components subjected to varying environmental conditions. The attribute values are used to compute the normal behaviors of some of the attributes and also used to infer parameters of a set of models. Relative probabilities of some attribute values are then computed and used along with the set of models to determine whether an alarm condition is met. The alarm conditions are used to prevent or reduce the impact of impending failure.

Pebay, Philippe P. (Livermore, CA); Brandt, James M. (Dublin, CA); Gentile, Ann C. (Dublin, CA); Marzouk, Youssef M. (Oakland, CA); Hale, Darrian J. (San Jose, CA); Thompson, David C. (Livermore, CA)

2011-01-04T23:59:59.000Z

142

System and method for statistically monitoring and analyzing sensed conditions  

DOE Patents [OSTI]

A system and method of monitoring and analyzing a plurality of attributes for an alarm condition is disclosed. The attributes are processed and/or unprocessed values of sensed conditions of a collection of a statistically significant number of statistically similar components subjected to varying environmental conditions. The attribute values are used to compute the normal behaviors of some of the attributes and also used to infer parameters of a set of models. Relative probabilities of some attribute values are then computed and used along with the set of models to determine whether an alarm condition is met. The alarm conditions are used to prevent or reduce the impact of impending failure.

Pebay, Philippe P. (Livermore, CA); Brandt, James M. (Dublin, CA); Gentile, Ann C. (Dublin, CA); Marzouk, Youssef M. (Oakland, CA); Hale, Darrian J. (San Jose, CA); Thompson, David C. (Livermore, CA)

2011-01-25T23:59:59.000Z

143

Statistics and the Modern Student  

E-Print Network [OSTI]

Technology Innovations in Statistics Education, 3(1). Wild,the "wider view" of statistics, The American Statistician,a History of Teaching Statistics, Edinburgh: John Bibby (

Robert Gould

2011-01-01T23:59:59.000Z

144

Statistics and the Modern Student  

E-Print Network [OSTI]

Technology Innovations in Statistics Education, 3(1). Wild,the "wider view" of statistics, The American Statistician,a History of Teaching Statistics, Edinburgh: John Bibby (

Gould, Robert

2010-01-01T23:59:59.000Z

145

Submitted to the Annals of Statistics PARAMETRIC INFERENCE AND FORECASTING FOR  

E-Print Network [OSTI]

results on univariate and multivariate GARCH type models where the estimator coincides with the classical (GARCH) type models have been successfully applied to volatility modeling. Nelson (1991) is the first attempt to introduce non linearity into volatility mod- els with the Exponential-GARCH(1,1) type models

146

Journal of Statistical Planning and Inference 138 (2008) 552567 www.elsevier.com/locate/jspi  

E-Print Network [OSTI]

estimation (Doray, 1996), water quality control (Gilliom and Helsel, 1986), to air pollution concentration reported in a wide range of applications from mining (Marcotte and Groleau, 1997), insurance reserves

Shen, Haipeng

147

Efficient and Robust Algorithms for Statistical Inference in Gene Regulatory Networks  

E-Print Network [OSTI]

], that the solution to the following constrained subspace problem is unique up to a scale ambiguity UT0 A = 0, A(I) = 0 . (2.6) Let Lm denote the number of known zeros in a column of am, then since the rows of Y and A can be interchanged, each column of A can... be rearranged as am = ? ? ? aŻm 0Lm×1 ? ? ? . (2.7) It was shown in [24], that under NCA conditions (1) and (2), the subspace constrained solution to UT0 am = 0 is unique subject to am given in (2.7). Moreover, the solution can be obtained by estimating...

Noor, Amina

2013-12-10T23:59:59.000Z

148

Statistical inference of OH concentrations and air mass dilution rates from successive observations of nonmethane  

E-Print Network [OSTI]

. C. Lewis,3 J. R. Hopkins,3 J. B. McQuaid,1 N. Watson,3 R. M. Purvis,3,4 J. D. Lee,3 E. L. Atlas,5 D of the vast majority of trace gases emitted into the atmosphere, and is the driving force behind much

Arnold, Steve

149

Order statistics inference for describing topological coupling and mechanical symmetry breaking in multidomain proteins  

E-Print Network [OSTI]

Cooperativity is a hallmark of proteins, many of which show a modular architecture comprising discrete structural domains. Detecting and describing dynamic couplings between structural regions is difficult in view of the many-body nature of protein-protein interactions. By utilizing the GPU-based computational acceleration, we carried out simulations of the protein forced unfolding for the dimer WW-WW of the all-beta-sheet WW domains used as a model multidomain protein. We found that while the physically non-interacting identical protein domains (WW) show nearly symmetric mechanical properties at low tension, reflected, e.g., in the similarity of their distributions of unfolding times, these properties become distinctly different when tension is increased. Moreover, the uncorrelated unfolding transitions at a low pulling force become increasingly more correlated (dependent) at higher forces. Hence, the applied force not only breaks "the mechanical symmetry" but also couples the physically non-interacting prot...

Kononova, Olga; Barsegov, Valeri

2015-01-01T23:59:59.000Z

150

Statistical Inference for Costs and Incremental Cost-Effectiveness Ratios with Censored Data  

E-Print Network [OSTI]

, for their guidance and support throughout this research. I also thank Dr. Heejung Bang for her motivating ideas for part of this research. Their suggestions and encouragement helped me tremendously in my research and writing of this thesis. Thanks also to my... this situation, Zhao et al. (2011) established a mathematical equivalency between the BT estima- tor for the mean costs (Bang and Tsiatis, 2000), and a replace-from-the-right (RR) algorithm (Pfeifer and Bang, 2005). Thus, the BT estimator, which is based...

Chen, Shuai

2012-07-16T23:59:59.000Z

151

Submitted to the Annals of Applied Statistics INFERENCE FOR PARTIALLY OBSERVED MULTITYPE  

E-Print Network [OSTI]

; Clark and Bjornstad, 2004). For these reasons, we use here stochastic models to study small populations

152

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

E-Print Network [OSTI]

BS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics the following: Stat 121 Principles of Statistics Stat 151 Introduction to Bayesian Statistics Stat 201 Statistics for Engineers & Scientists Stat 301 Statistics & Probability for Sec Ed Note: Students who have

Olsen Jr., Dan R.

153

Inferring Network Topology from Complex Dynamics  

E-Print Network [OSTI]

Inferring network topology from dynamical observations is a fundamental problem pervading research on complex systems. Here, we present a simple, direct method to infer the structural connection topology of a network, given an observation of one collective dynamical trajectory. The general theoretical framework is applicable to arbitrary network dynamical systems described by ordinary differential equations. No interference (external driving) is required and the type of dynamics is not restricted in any way. In particular, the observed dynamics may be arbitrarily complex; stationary, invariant or transient; synchronous or asynchronous and chaotic or periodic. Presupposing a knowledge of the functional form of the dynamical units and of the coupling functions between them, we present an analytical solution to the inverse problem of finding the network topology. Robust reconstruction is achieved in any sufficiently long generic observation of the system. We extend our method to simultaneously reconstruct both the entire network topology and all parameters appearing linear in the system's equations of motion. Reconstruction of network topology and system parameters is viable even in the presence of substantial external noise.

Srinivas Gorur Shandilya; Marc Timme

2010-07-09T23:59:59.000Z

154

1 Statistics Statistics plays an important role throughout society, providing  

E-Print Network [OSTI]

1 Statistics STATISTICS Statistics plays an important role throughout society, providing data. They also explore how those skills can be applied to develop new initiatives. Statistics is one. UNDERGRADUATE Bachelor's program · Bachelor of Science with a major in statistics (http:// bulletin.gwu.edu/arts-sciences/statistics

Vertes, Akos

155

The Statistical Physics of Athermal Materials  

E-Print Network [OSTI]

At the core of equilibrium statistical mechanics lies the notion of statistical ensembles: a collection of microstates, each occurring with a given a priori probability that depends only on a few macroscopic parameters such as temperature, pressure, volume, and energy. In this review article, we discuss recent advances in establishing statistical ensembles for athermal materials. The broad class of granular and particulate materials is immune from the effects of thermal fluctuations because the constituents are macroscopic. In addition, interactions between grains are frictional and dissipative, which invalidates the fundamental postulates of equilibrium statistical mechanics. However, granular materials exhibit distributions of microscopic quantities that are reproducible and often depend on only a few macroscopic parameters. We explore the history of statistical ensemble ideas in the context of granular materials, clarify the nature of such ensembles and their foundational principles, highlight advances in testing key ideas, and discuss applications of ensembles to analyze the collective behavior of granular materials.

Dapeng Bi; Silke Henkes; Karen E. Daniels; Bulbul Chakraborty

2014-04-07T23:59:59.000Z

156

Part I STATISTICAL PHYSICS 1 Statistical Physics  

E-Print Network [OSTI]

In this first part of the book we shall study aspects of classical statistical physics that every physicist should know, but are not usually treated in elementary thermodynamics courses. Our study will lay the microphysical (particle-scale) foundations for the continuum physics of Parts II—VI. As a central feature of our approach, we shall emphasize the intimate connections between the relativistic formulation of statistical physics and its nonrelativistic limit, and between quantum statistical physics and the classical theory. Throughout, we shall presume that the reader is familiar with elementary thermodynamics, but not with other aspects of statistical physics. In Chap. 2 we will study kinetic theory — the simplest of all formalisms for analyzing systems of huge numbers of particles (e.g., molecules of air, or neutrons diffusing through a nuclear reactor, or photons produced in the big-bang origin of the Universe). In kinetic theory the key concept is the “distribution function ” or “number density of particles in phase space”, N; i.e., the number of particles per unit 3-dimensional volume of ordinary space and per unit 3-dimensional volume of momentum space. Despite first appearances, N turns out to be a geometric, frame-independent entity. This N and the frame-independent laws it

unknown authors

157

Part I STATISTICAL PHYSICS 1 Statistical Physics  

E-Print Network [OSTI]

In this first part of the book we shall study aspects of classical statistical physics that every physicist should know, but are not usually treated in elementary thermodynamics courses. Our study will lay the microphysical (particle-scale) foundations for the continuum physics of Parts II—VI. As a central feature of our approach, we shall emphasize the intimate connections between the relativistic formulation of statistical physics and its nonrelativistic limit, and between quantum statistical physics and the classical theory. Throughout, we shall presume that the reader is familiar with elementary thermodynamics, but not with other aspects of statistical physics. In Chap. 2 we will study kinetic theory — the simplest of all formalisms for analyzing systems of huge numbers of particles (e.g., molecules of air, or neutrons diffusing through a nuclear reactor, or photons produced in the big-bang origin of the Universe). In kinetic theory the key concept is the “distribution function ” or “number density of particles in phase space”, N; i.e., the number of particles per unit 3-dimensional volume of ordinary space and per unit 3-dimensional volume of momentum space. Despite first appearances, N turns out to be a geometric, frame-independent entity. This N and the frame-independent laws it

unknown authors

2004-01-01T23:59:59.000Z

158

Part I STATISTICAL PHYSICS 1 Statistical Physics  

E-Print Network [OSTI]

In this first part of the book we shall study aspects of classical statistical physics that every physicist should know but are not usually treated in elementary thermodynamics courses. This study will lay the microphysical (particle-scale) foundations for the continuum physics of Parts II—VI. Throughout, we shall presume that the reader is familiar with elementary thermodynamics, but not with other aspects of statistical physics. As a central feature of our approach, we shall emphasize the intimate connections between the relativistic formulation of statistical physics and its nonrelativistic limit, and between quantum statistical physics and the classical theory. Chapter 2 will deal with kinetic theory, which is the simplest of all formalisms for studying systems of huge numbers of particles (e.g., molecules of air, or neutrons diffusing through a nuclear reactor, or photons produced in the big-bang origin of the Universe). In kinetic theory the key concept is the “distribution function ” or “number density of particles in phase space”, N; i.e., the number of particles per unit 3-dimensional volume of ordinary space and per unit 3-dimensional volume of momentum space. Despite first appearances, N turns out to be a geometric, frame-independent entity. This N and the laws it obeys provide

unknown authors

159

Inference of Interactions in Cyanobacterial-Heterotrophic Co...  

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

BE Linggi, LM Markillie, NG Isern, WB Chrisler, LA Kucek, EA Hill, G Pinchuk, DA Bryant, HS Wiley, JK Fredrickson, and A Konopka.2014."Inference of Interactions in...

160

Inductive Inference for Solving Divergence in Knuth-Bendix Completion  

E-Print Network [OSTI]

Thomas,M. Jantke,K. Proceedings of Analogical and Inductive Inference '89, Lecture Notes in Computer Science, Volume 397 pp 288-303 Springer

Thomas, M.; Jantke, K.; Proceedings of Analogical and Inductive Inference '89, Lecture Notes in Computer Science, Volume 397 pp 288-303 Springer [More Details

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


161

active pathway inference: Topics by E-print Network  

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

MaxEnt and Bayes' rule, and therefore unifies the two themes of these workshops -- the Maximum Entropy and the Bayesian methods -- into a single general inference scheme....

162

african buffalos inferred: Topics by E-print Network  

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

MaxEnt and Bayes' rule, and therefore unifies the two themes of these workshops -- the Maximum Entropy and the Bayesian methods -- into a single general inference scheme....

163

ancestral bilaterian inferred: Topics by E-print Network  

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

MaxEnt and Bayes' rule, and therefore unifies the two themes of these workshops -- the Maximum Entropy and the Bayesian methods -- into a single general inference scheme....

164

Statistical properties of chaotic binary sequences  

E-Print Network [OSTI]

Mean value and cross-covariance function of chaotic binary sequences are evaluated for chaotic maps with specific properties. We also take into account the effect of fixed- and floating-point representations on statistical properties of chaotic generators. Thus, one is able to obtain possible candidates for pseudo-random binary sequences generation. Results of statistical tests applied to chaotic binary sequences are presented. The chaotic binary sequences thus obtained could be used for security improvement in IEEE 802.11 standard.

Bogdan Cristea

2008-05-28T23:59:59.000Z

165

Test Automation Test Automation  

E-Print Network [OSTI]

Test Automation Test Automation Mohammad Mousavi Eindhoven University of Technology, The Netherlands Software Testing 2013 Mousavi: Test Automation #12;Test Automation Outline Test Automation Mousavi: Test Automation #12;Test Automation Why? Challenges of Manual Testing Test-case design: Choosing inputs

Mousavi, Mohammad

166

Statistical Hadronization and Holography  

E-Print Network [OSTI]

In this paper we consider some issues about the statistical model of the hadronization in a holographic approach. We introduce a Rindler like horizon in the bulk and we understand the string breaking as a tunneling event under this horizon. We calculate the hadron spectrum and we get a thermal, and so statistical, shape for it.

Jacopo Bechi

2009-12-17T23:59:59.000Z

167

Bayesian inference for pulsar timing models  

E-Print Network [OSTI]

The extremely regular, periodic radio emission from millisecond pulsars make them useful tools for studying neutron star astrophysics, general relativity, and low-frequency gravitational waves. These studies require that the observed pulse time of arrivals are fit to complicated timing models that describe numerous effects such as the astrometry of the source, the evolution of the pulsar's spin, the presence of a binary companion, and the propagation of the pulses through the interstellar medium. In this paper, we discuss the benefits of using Bayesian inference to obtain these timing solutions. These include the validation of linearized least-squares model fits when they are correct, and the proper characterization of parameter uncertainties when they are not; the incorporation of prior parameter information and of models of correlated noise; and the Bayesian comparison of alternative timing models. We describe our computational setup, which combines the timing models of tempo2 with the nested-sampling integ...

Vigeland, Sarah J

2013-01-01T23:59:59.000Z

168

Theory and inference for a Markov switching GARCH model  

E-Print Network [OSTI]

2007/55 Theory and inference for a Markov switching GARCH model Luc Bauwens, Arie Preminger and Jeroen V.K. Rombouts #12;CORE DISCUSSION PAPER 2007/55 Theory and inference for a Markov switching GARCH-switching GARCH model (MS-GARCH) wherein the conditional mean and variance switch in time from one GARCH process

Nesterov, Yurii

169

Fuzzy Economizer control using a Prolog-C inference engine  

E-Print Network [OSTI]

This research is in two parts: I. Develop a generic tool to perform fuzzy inference on a wide class of systems.Thisis done using Prolog and C. 2.Develop a hierarchical control scheme using this fuzzy inference mechanism tool for a constant volume...

Belur, Raghuveer R.

2012-06-07T23:59:59.000Z

170

Recent Developments in Bayesian Inference with Applications in Hydrology  

E-Print Network [OSTI]

: Recent Developments in Bayesian Inference with Applications in Hydrology . James O. Berger potential use in hydrology. These tools include Bayesian model selection, new computational techniques be applied to problems in hy­ drology. Keywords: Bayesian Inference, Hydrology, Model Selection, Bayes

Berger, Jim

171

Type-Inference Based Short Cut Deforestation (nearly) without Inlining  

E-Print Network [OSTI]

Type-Inference Based Short Cut Deforestation (nearly) without Inlining -- Work in Progress -- Olaf@informatik.rwth-aachen.de Abstract Deforestation optimises a functional program by transforming it into another one that does not create certain intermediate data structures. In [Chi99] we presented a type-inference based deforestation

Kent, University of

172

Type-Inference Based Short Cut Deforestation (nearly) without Inlining  

E-Print Network [OSTI]

Type-Inference Based Short Cut Deforestation (nearly) without Inlining Olaf Chitil Lehrstuhl f¨ur Informatik II, RWTH Aachen, Germany chitil@informatik.rwth-aachen.de Abstract. Deforestation optimises structures. Our type-inference based deforestation algorithm performs extensive inlining, but only limited

Kent, University of

173

Asymptotic and Bootstrap Inference for Inequality and Poverty Measures  

E-Print Network [OSTI]

Asymptotic and Bootstrap Inference for Inequality and Poverty Measures by Russell Davidson samples, although inference with poverty indices is satisfactory. We find that the major cause method in moderately large samples. JEL codes: C00, C15, I32 Key words: Income distribution, poverty

Boyer, Edmond

174

FPGA Implementation of Fuzzy Inference System for Embedded Applications  

E-Print Network [OSTI]

of the whole system. A fuzzy inference system has been implemented on an FPGA, and used to control a PM motor:- FPGA, Fuzzy logic, Fuzzy inference system, PM motor, Washing machine. INTRODUCTION The real world and the adaptation capability to properly compensate for these changing conditions. Fuzzy logic is a powerful problem

175

NDetermin: Inferring Nondeterministic Sequential Specifications for Parallelism Correctness  

E-Print Network [OSTI]

NDetermin: Inferring Nondeterministic Sequential Specifications for Parallelism Correctness Jacob and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post;NDetermin: Inferring Nondeterministic Sequential Specifications for Parallelism Correctness Jacob Burnim

Necula, George

176

Statistics: Part 1 1. Why bother with statistics?  

E-Print Network [OSTI]

Statistics: Part 1 1. Why bother with statistics? Why is statistics so necessary for observational. But your data just don't seem to back up their claim. Statistics allows you to determine how confidently) practical introduction to those bits of statistics most vital to observational astronomy. 2. What

Francis, Paul

177

Pr`actica 11: INFER`ENCIA ESTADISTICA Infer`encia en taules de conting`encia: test 2  

E-Print Network [OSTI]

relaci´o- associaci´o entre dues variables (tant qualitatives com num`eriques). Comen¸carem analitzant el-descriptiu. Per treballar el primer objectiu plantejat a la secci´o anterior, comen¸carem fent un estudi

Castellana, NatĂ lia

178

FISHERY STATISTICS E UNITED STATES  

E-Print Network [OSTI]

SH 11 .A443X FISH FISHERY STATISTICS E UNITED STATES ^ 1951 &ch 3. \\§^ ^/'· m:^ STATISTICAL DIGEST. Farley, Director Statistical Digest 30 FISHERY STATISTICS OF THE UNITED STATES 1951 BY A. W. ANDERSON;Fishery Statistics of the United States and Alaska are compiled and published annually to make available

179

Atomic Inference from Weak Gravitational Lensing Data  

SciTech Connect (OSTI)

We present a novel approach to reconstructing the projected mass distribution from the sparse and noisy weak gravitational lensing shear data. The reconstructions are regularized via the knowledge gained from numerical simulations of clusters, with trial mass distributions constructed from n NFW profile ellipsoidal components. The parameters of these ''atoms'' are distributed a priori as in the simulated clusters. Sampling the mass distributions from the atom parameter probability density function allows estimates of the properties of the mass distribution to be generated, with error bars. The appropriate number of atoms is inferred from the data itself via the Bayesian evidence, and is typically found to be small, reecting the quality of the data. Ensemble average mass maps are found to be robust to the details of the noise realization, and succeed in recovering the demonstration input mass distribution (from a realistic simulated cluster) over a wide range of scales. As an application of such a reliable mapping algorithm, we comment on the residuals of the reconstruction and the implications for predicting convergence and shear at specific points on the sky.

Marshall, Phil; /KIPAC, Menlo Park

2005-12-14T23:59:59.000Z

180

Statistical Mechanics with focus on  

E-Print Network [OSTI]

Statistical Mechanics with focus on Liquids, Solutions and Colloidal Systems Course contents A. Foundations of statistical mechanics Classical dynamics ­ Hamilton's and Liouville's equations The concept statistics. Ideal fermion or boson gases. ­ Bose-Einstein condensation. The relationship between

Johannesson, Henrik

Note: This page contains sample records for the topic "test statistical inferences" 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

School of Mathematics and Statistics  

E-Print Network [OSTI]

School of Mathematics and Statistics Faculties of Arts Economics, Education, Engineering and Science INTERMEDIATE MATHEMATICS and STATISTICS 2012 THE UNIVERSITY OF SYDNEY #12;Contents 1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 STAT2911 Probability and Statistical Models (Advanced) . . . . . . . . . . . 16 STAT2912

Du, Jie

182

The University of Chicago Department of Statistics  

E-Print Network [OSTI]

Department of Statistics The University of Chicago Biofuel FeedStock Commodity Pricing FRIDAY, May 13, 2011. We empirically test models using biofuel feedstock commodity futures data traded in CBOT: corn estimation. We answered the questions: whether the prices for biofuel feedstock commodities (corn and soybean

Stephens, Matthew

183

Thesis for the Degree of Licentiate of Philosophy Inference in a Partially Observed  

E-Print Network [OSTI]

Thesis for the Degree of Licentiate of Philosophy Inference in a Partially Observed Percolation in a Partially Observed Percolation Process Oscar Hammar Abstract In this licentiate thesis, inference

Patriksson, Michael

184

Experimental Statistics NBS Handbook 91: Experimental Statistics [1] was  

E-Print Network [OSTI]

Experimental Statistics NBS Handbook 91: Experimental Statistics [1] was first published in 1963 as a series of five Army Ordnance Pamphlets OSRDDP 20-110-114. The publication was prepared in the Statistical. Basic Statistical Concepts and Analysis and Inter- pretation of Measurement Data 2. Standard Techniques

185

Statistics and samples 1.1 What is statistics?  

E-Print Network [OSTI]

1 1 Statistics and samples 1.1 What is statistics? Biologists study the properties of living things to get sam- pled and who did not. Statistics is a technology that describes and measures aspects of nature from samples. Most importantly, statistics lets us quantify the uncertainty of these meas- ures

Irwin, Darren

186

Variable Selection and Inference for Multi-period Forecasting Problems  

E-Print Network [OSTI]

Variable Selection and Inference for Multi-period Forecasting Problems? M. Hashem Pesaran Cambridge University and USC Andreas Pick De Nederlandsche Bank and Cambridge University, CIMF Allan Timmermann UC San Diego and CREATES January 26, 2009...

Pesaran, M Hashem; Pick, Andreas; Timmermann, Allan

187

Inductive inference based on probability and Matthew Weber  

E-Print Network [OSTI]

Inductive inference based on probability and similarity Matthew Weber Princeton University Daniel in the Bayesian sense (Tentori et al., 2007), or as Weber acknowledges support from an NSF graduate research

Osherson, Daniel

188

METHOD Open Access Rapid haplotype inference for nuclear families  

E-Print Network [OSTI]

METHOD Open Access Rapid haplotype inference for nuclear families Amy L Williams1* , David E-recombinant and maximum likelihood haplotypes. When applied to a dataset con- taining 103 families, Hapi performs 3

Gifford, David K.

189

Statistical Tools for Analyzing the Cosmic Ray Energy Spectrum  

E-Print Network [OSTI]

In this paper un-binned statistical tools for analyzing the cosmic ray energy spectrum are developed and illustrated with a simulated data set. The methods are designed to extract accurate and precise model parameter estimators in the presence of statistical and systematic energy errors. Two robust methods are used to test for the presence of flux suppression at the highest energies: the Tail-Power statistic and a likelihood ratio test. Both tests give evidence of flux suppression in the simulated data. The tools presented can be generalized for use on any astrophysical data set where the power-law assumption is relevant and can be used to aid observational design.

J. D. Hague; B. R. Becker; M. S. Gold; J. A. J. Matthews

2008-08-20T23:59:59.000Z

190

Statistical Learning Theory of Protein Dynamics  

E-Print Network [OSTI]

integrated statistical learning and simulation approach tomolecular simulation, using statistical learning theory tomolecular simulation and statistical learning theory of

Haas, Kevin

2013-01-01T23:59:59.000Z

191

Indicators: Performance Statistics  

E-Print Network [OSTI]

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

Webb, Peter

192

General Indicators: Performance Statistics  

E-Print Network [OSTI]

Bank Central Svcs. Energy Mgmt Admin Preventive Maintenance: Fire/Life/Safety (FLS) 87% -4% 100% 47 Trend Initial Target Steam Chilled Utility Outages 2 +1% 0 0 0 Preventive Maintenance: Fire participation reading will be June 2012 *Budget data FYTD through March 2012 Maintenance: Performance Statistics

Webb, Peter

193

General Indicators: Performance Statistics  

E-Print Network [OSTI]

Bank Central Svcs. Energy Mgmt Admin Preventive Maintenance: Fire/Life/Safety (FLS) 85% -12% 100% 80 Trend Initial Target Steam Chilled Utility Outages 3 -5 0 1 0 Preventive Maintenance: Fire participation reading will be August 2012 *Budget data FYTD through May 2012 Maintenance: Performance Statistics

Webb, Peter

194

General Indicators: Performance Statistics  

E-Print Network [OSTI]

. Energy Mgmt Admin Preventive Maintenance: Fire/Life/Safety (FLS) 97% +10% 100% 96% 93% 99% 98% Non Chilled Utility Outages 8 +6% 0 1 2 Preventive Maintenance: Fire/Life/Safety (FLS) 100% No Change 100 will be June 2012 *Budget data FYTD through April 2012 Maintenance: Performance Statistics Current Month Change

Webb, Peter

195

MATHEMATICS AND STATISTICS  

E-Print Network [OSTI]

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

Banaji,. Murad

196

Efficient inference in general semiparametric regression models  

E-Print Network [OSTI]

Conclusions ................. 33 II.5.3.1. Can Semiparametric Methods Improve Upon the Sample Mean? .......... 34 II.5.3.2. How Critical Are Our Assumptions on Z?35 III TESTING IN SEMIPARAMETRIC MODELS WITH IN- TERACTION ............................ 38 III.1... ........................................ 134 x LIST OF TABLES TABLE Page 1. Significance levels (p-values) of the test for genetic e?ects in a regression model in which Z is years since stopped smoking. ..... 68 2. Mean, empirical standard errors (emp s.e.), root mean squared error (RMSE...

Maity, Arnab

2009-05-15T23:59:59.000Z

197

A Statistical Framework for Microbial Source Attribution  

SciTech Connect (OSTI)

This report presents a general approach to inferring transmission and source relationships among microbial isolates from their genetic sequences. The outbreak transmission graph (also called the transmission tree or transmission network) is the fundamental structure which determines the statistical distributions relevant to source attribution. The nodes of this graph are infected individuals or aggregated sub-populations of individuals in which transmitted bacteria or viruses undergo clonal expansion, leading to a genetically heterogeneous population. Each edge of the graph represents a transmission event in which one or a small number of bacteria or virions infects another node thus increasing the size of the transmission network. Recombination and re-assortment events originate in nodes which are common to two distinct networks. In order to calculate the probability that one node was infected by another, given the observed genetic sequences of microbial isolates sampled from them, we require two fundamental probability distributions. The first is the probability of obtaining the observed mutational differences between two isolates given that they are separated by M steps in a transmission network. The second is the probability that two nodes sampled randomly from an outbreak transmission network are separated by M transmission events. We show how these distributions can be obtained from the genetic sequences of isolates obtained by sampling from past outbreaks combined with data from contact tracing studies. Realistic examples are drawn from the SARS outbreak of 2003, the FMDV outbreak in Great Britain in 2001, and HIV transmission cases. The likelihood estimators derived in this report, and the underlying probability distribution functions required to calculate them possess certain compelling general properties in the context of microbial forensics. These include the ability to quantify the significance of a sequence 'match' or 'mismatch' between two isolates; the ability to capture non-intuitive effects of network structure on inferential power, including the 'small world' effect; the insensitivity of inferences to uncertainties in the underlying distributions; and the concept of rescaling, i.e. ability to collapse sub-networks into single nodes and examine transmission inferences on the rescaled network.

Velsko, S P; Allen, J E; Cunningham, C T

2009-04-28T23:59:59.000Z

198

Inferring User Interests from Tweet Times Dinesh Ramasamy, Sriram Venkateswaran and Upamanyu Madhow  

E-Print Network [OSTI]

preliminary results on inferring baseball "fandom" for a given team. Our model, motivated by the empirical

Madhow, Upamanyu

199

1979 DOE statistical symposium  

SciTech Connect (OSTI)

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

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

1980-09-01T23:59:59.000Z

200

DCO Operations Interesting Statistics  

E-Print Network [OSTI]

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

Note: This page contains sample records for the topic "test statistical inferences" 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

Independent Statistics & Analysis  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickrinformation for planningto FuelIndependent Statistics & Analysis

202

Statistical simulation procedures  

E-Print Network [OSTI]

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

Tremelling, Robert Norman

2012-06-07T23:59:59.000Z

203

Homotopy in statistical physics  

E-Print Network [OSTI]

In condensed matter physics and related areas, topological defects play important roles in phase transitions and critical phenomena. Homotopy theory facilitates the classification of such topological defects. After a pedagogic introduction to the mathematical methods involved in topology and homotopy theory, the role of the latter in a number of mainly low-dimensional statistical-mechanical systems is outlined. Some recent activities in this area are reviewed and some possible future directions are discussed.

Ralph Kenna

2006-04-12T23:59:59.000Z

204

InternationalStatisticalReview(1988),56, 1, pp.49-62. Printedin GreatBritain ? InternationalStatisticalInstitute  

E-Print Network [OSTI]

StatisticalInstitute Towards a Unified Theory of Inequality Constrained Testing in Multivariate Analysis A. Shapiro Introduction Statisticalinferencefor equalityconstrainedproblemsin multivariateanalysisis well established properties of linear spaces. In particularit is meaningfulto consideran orthogonal

Shapiro, Alex

205

animal testing alternatives: Topics by E-print Network  

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

testing of animal manure ... 11 Figure 6. Temperature profile for manure gasification... Engler, Cady; Capereda, Sergio; Mukhtar, Saqib 48 Statistical test...

206

International petroleum statistics report  

SciTech Connect (OSTI)

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

NONE

1995-10-01T23:59:59.000Z

207

FY 2005 Statistical Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of Energy memoCityTheDepartmentKey9Statistical Table by

208

FY 2007 Statistical Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of EnergyOrganization (dollars in5Statistical Table by

209

PDSF Cluster Statistics  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratorySpeedingOptimizing I/OP-Glycoprotein StructureStatistics Cluster

210

STATISTICS ESSENTIAL SKILL OUTCOME STATEMENTS  

E-Print Network [OSTI]

SB #3205 STATISTICS ESSENTIAL SKILL OUTCOME STATEMENTS Newly-Revised Version: A liberally educated person is capable of being both a producer and a consumer of statistical information with some basic level of competency. He or she should be able to perform basic statistical analyses (producer

Gering, Jon C.

211

Statistical Ensembles with Volume Fluctuations  

E-Print Network [OSTI]

The volume fluctuations in statistical mechanics are discussed. First, the volume fluctuations in ensembles with a fixed external pressure, the so called pressure ensembles, are considered. Second, a generalization of the pressure ensembles is suggested. Namely, the statistical ensembles with the volume fluctuating according to externally given distributions are considered. Several examples and possible applications in statistical models of hadron production are discussed.

Mark I. Gorenstein

2008-06-17T23:59:59.000Z

212

Statistical Explanation WESLEY C. SALMON  

E-Print Network [OSTI]

Statistical Explanation WESLEY C. SALMON Indiana University EVER SINCE IUS CLASSIC PAPER with Paul This paper grew out of a discussion of statistical expl8D8tion presented at the meeting of the American Probabilities in Statistical Explanation," along with Henry E. Kyburg's comments and my rejoinder, were

Fitelson, Branden

213

Contributions of explanatory variables Test 1 by itself: Test 2 by itself  

E-Print Network [OSTI]

Contributions of explanatory variables Test 1 by itself: Test 2 by itself: Simple linear regression with only Test 1 Simple linear regression with only Test 2 R2 = 0.295 R2 = 0.167 t = 2.97, P-value = 0.0074* t = 2.05, P-value = 0.0530 Test 1 is statistically significant. Test 2 is not statistically significant

Carriquiry, Alicia

214

Design and performance of a scalable, parallel statistics toolkit.  

SciTech Connect (OSTI)

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

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

2010-11-01T23:59:59.000Z

215

Statistical Error analysis of Nucleon-Nucleon phenomenological potentials  

E-Print Network [OSTI]

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

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

2014-06-10T23:59:59.000Z

216

International petroleum statistics report  

SciTech Connect (OSTI)

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

NONE

1997-05-01T23:59:59.000Z

217

HEV Fleet Testing - 2010 Ford Fusion VIN:4699 - Fleet Testing...  

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

699 Fleet Testing Results To Date Operating Statistics Distance Driven: 73,490 Average Trip Distance: 10.8 mi Stop Time with Engine Idling: 13% Trip Type CityHighway: 86%...

218

Stateful Testing: Finding More Errors in Code and Contracts  

E-Print Network [OSTI]

. The generated test cases are designed to violate the dynamically inferred contracts (invariants) characterizing the existing test suite. As a consequence, they are in a good position to detect new faults, and alsoStateful Testing: Finding More Errors in Code and Contracts Yi Wei · Hannes Roth · Carlo A. Furia

Meyer, Bertrand

219

Inferring temperature uniformity from gas composition measurements in a hydrogen combustion-heated hypersonic flow stream  

SciTech Connect (OSTI)

The application of a method for determining the temperature of an oxygen-replenished air stream heated to 2600 K by a hydrogen burner is reviewed and discussed. The purpose of the measurements is to determine the spatial uniformity of the temperature in the core flow of a ramjet test facility. The technique involves sampling the product gases at the exit of the test section nozzle to infer the makeup of the reactant gases entering the burner. Knowing also the temperature of the inlet gases and assuming the flow is at chemical equilibrium, the adiabatic flame temperature is determined using an industry accepted chemical equilibrium computer code. Local temperature depressions are estimated from heat loss calculations. A description of the method, hardware and procedures is presented, along with local heat loss estimates and uncertainty assessments. The uncertainty of the method is estimated at {+-}31 K, and the spatial uniformity was measured within {+-}35 K.

Olstad, S.J. [Phoenix Solutions Co., Minneapolis, MN (United States)

1995-08-01T23:59:59.000Z

220

Inferring Architectural Designs from Physical Sketches: Application to Daylighting Analysis  

E-Print Network [OSTI]

Inferring Architectural Designs from Physical Sketches: Application to Daylighting Analysis Barbara and a closed, 3D triangle mesh representation is constructed. We apply the system to architectural daylighting, daylighting analy- sis, and image processing. ACM Classification Keywords H.5.1 Information Interfaces

Varela, Carlos

Note: This page contains sample records for the topic "test statistical inferences" 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

INFINITY 2004 Preliminary Version Inference of Timed Transition Systems  

E-Print Network [OSTI]

INFINITY 2004 Preliminary Version Inference of Timed Transition Systems Olga Grinchtein 1 Bengt or implementation. In software verification, techniques are being developed for generating abstract models of software modules by static analysis of source code (e.g., [10,20]). However, peripheral hardware components

Leucker, Martin

222

Type-Inference Based Deforestation of Functional Programs  

E-Print Network [OSTI]

Type-Inference Based Deforestation of Functional Programs Von der Fakult¨at f¨ur Mathematik structure is produced by one part and consumed by another one. Deforestation optimises a functional program a new method for deforestation, which combines a known method, short cut deforestation, with a new

Kent, University of

223

Type Inference Builds a Short Cut to Deforestation Olaf Chitil  

E-Print Network [OSTI]

Type Inference Builds a Short Cut to Deforestation Olaf Chitil Lehrstuhl f¨ur Informatik II, RWTH Aachen, 52056 Aachen, Germany chitil@informatik.rwth-aachen.de Abstract Deforestation optimises structures. Short cut deforestation is a de- forestation method which is based on a single, local trans

Kent, University of

224

The utility of single nucleotide polymorphisms in inferences of  

E-Print Network [OSTI]

The utility of single nucleotide polymorphisms in inferences of population history Robb T of Washington, Seattle, WA 98195, USA Single nucleotide polymorphisms (SNPs) represent the most widespread type discuss one emerging marker of great relevance to historical demography: single nucleotide polymorphisms

Brumfield, Robb T.

225

Heterogeneity of Nucleotide Frequencies Among Evolutionary Lineages and Phylogenetic Inference  

E-Print Network [OSTI]

Heterogeneity of Nucleotide Frequencies Among Evolutionary Lineages and Phylogenetic Inference is the homogeneity of nucleotide frequencies among taxa, which refers to the equality of the nucleotide frequency bias among species. Changes in nucleotide frequency among different lineages in a data set are thought

Rosenberg, Michael S.

226

Utility theory front to back inferring utility from agents' choices  

E-Print Network [OSTI]

Utility theory front to back ­ inferring utility from agents' choices A. M. G. Cox Dept to utility theory and consumption & investment problems. Instead of specifying an agent's utility function) and ask if it is possible to derive a utility function for which the observed behaviour is optimal. We

227

ROTATION OF WHITE LIGHT CME STRUCTURES AS INFERRED FROM  

E-Print Network [OSTI]

field, and it could shed light on the problems related to connecting solar surface phenomenaROTATION OF WHITE LIGHT CME STRUCTURES AS INFERRED FROM LASCO CORONAGRAPH Vasyl Yurchyshyn Big Bear Solar Observatory 40386 North Shore Lane, Big Bear City, CA 92314 Valentyna Abramenko Big Bear Solar

228

BAYESIAN INFERENCE AND OPTIMIZATION STRATEGIES FOR SOME DETECTION AND CLASSIFICATION  

E-Print Network [OSTI]

energy function to be minimized. These segmentation and classification schemes can be used separatelyBAYESIAN INFERENCE AND OPTIMIZATION STRATEGIES FOR SOME DETECTION AND CLASSIFICATION PROBLEMS and classification problems of great importance in sonar imagery. More precisely this paper is concerned

Mignotte, Max

229

Interval Computations Interval-Valued Inference in Medical  

E-Print Network [OSTI]

CLINAID Ladislav J. Kohout and Isabel Stabile In a series of papers and a monograph [21], we have] - Clinaid. Clinaid - . c L. J. Kohout, I. Stabile, 1993 #12;Interval-Valued Inference substra- #12;90 L. J. Kohout, I. Stabile tum): 1. Diagnostic Unit (comprised of several parallel

Kearfott, R. Baker

230

Constraint-Based Inference: A Bridge between Constraint Processing and  

E-Print Network [OSTI]

in representation and essentially identical inference approaches. In the constraint processing community, Semiring CSP [2] and Valued CSP [3] are two of the most widely studied generalized frameworks that abstract-Based Generalized Framework for CBI Problems There are two essential operators in real world CBI problems: (1

Mackworth, Alan K.

231

Extending Plan Inference Techniques to Recognize Intentions in Information Graphics  

E-Print Network [OSTI]

Extending Plan Inference Techniques to Recognize Intentions in Information Graphics Stephanie Elzer information graphics. Our work is part of a larger project to de- velop an interactive natural language system graphics. 1 Introduction The amount of information available electronically has increased dramatically over

Carberry, Sandra

232

A Simple Approach to Abductive Inference using Conceptual Graphs  

E-Print Network [OSTI]

A Simple Approach to Abductive Inference using Conceptual Graphs Maurice Pagnucco Knowledge Systems, Australia. email: morri@cs.su.oz.au fax : +61­2­692­3838 Abstract Abductive reasoning (or simply abduction) is a form of logical in­ ference that aims to derive plausible explanations for data. The term ``abduction

Pagnucco, Maurice

233

Variational Inference in Stochastic Dynamic Environmental Models Dan Cornford1  

E-Print Network [OSTI]

Variational Inference in Stochastic Dynamic Environmental Models Dan Cornford1 , Manfred Opper2 number of degrees of freedom. Environmental forecasting centres have taken strategic decisions to develop on related phenomena, such as flooding and storm damage, and on the spread of pollutants. The models needed

Roulstone, Ian

234

A SHARP ANALYSIS ON THE ASYMPTOTIC BEHAVIOR OF THE DURBIN-WATSON STATISTIC FOR THE FIRST-ORDER  

E-Print Network [OSTI]

A SHARP ANALYSIS ON THE ASYMPTOTIC BEHAVIOR OF THE DURBIN-WATSON STATISTIC FOR THE FIRST a sharp analysis on the as- ymptotic behavior of the Durbin-Watson statistic. We focus our attention for the Durbin-Watson statistic. Finally, we propose a new bilateral statistical test for residual

Paris-Sud XI, Université de

235

Statistical Moments - Spring/Summer 2007  

E-Print Network [OSTI]

Re- peated Measures. ! Statistics in Medi- cine, 26, 1552-with a minor in statistics by Summer 2007. These students1 UCLA DEPARTMENT OF STATISTICS NEWSLETTER ! status, more

UCLA Department of Statistics

2007-01-01T23:59:59.000Z

236

Statistical Moments - Spring/Summer 2008  

E-Print Network [OSTI]

nonignorable missing values. Statistics in Medicine, 13.species. Annals of Applied Statistics, 1: 36-65. 22. DinovLarge Run Sizes. UCLA Statistics Electronic Publications,

UCLA Department of Statistics

2008-01-01T23:59:59.000Z

237

Statistics Online Computational Resource for Education  

E-Print Network [OSTI]

and assess- ment of the statistic online computationalintroductory probability and statistics courses. Computers &Leslie, M. (2003). Statistics starter kit. Science, © 2009

Dinov, Ivo D; Christou, Nicolas

2009-01-01T23:59:59.000Z

238

A regression approach to infer electricity consumption of legacy telecom equipment  

E-Print Network [OSTI]

A regression approach to infer electricity consumption of legacy telecom equipment [Extended and communications technology accounts for a significant fraction of worldwide electricity consumption. Given inferring the electricity consumption of different components of the installed base of telecommu- nications

Fisher, Kathleen

239

Evidence cross-validation and Bayesian inference of MAST plasma equilibria  

SciTech Connect (OSTI)

In this paper, current profiles for plasma discharges on the mega-ampere spherical tokamak are directly calculated from pickup coil, flux loop, and motional-Stark effect observations via methods based in the statistical theory of Bayesian analysis. By representing toroidal plasma current as a series of axisymmetric current beams with rectangular cross-section and inferring the current for each one of these beams, flux-surface geometry and q-profiles are subsequently calculated by elementary application of Biot-Savart's law. The use of this plasma model in the context of Bayesian analysis was pioneered by Svensson and Werner on the joint-European tokamak [Svensson and Werner,Plasma Phys. Controlled Fusion 50(8), 085002 (2008)]. In this framework, linear forward models are used to generate diagnostic predictions, and the probability distribution for the currents in the collection of plasma beams was subsequently calculated directly via application of Bayes' formula. In this work, we introduce a new diagnostic technique to identify and remove outlier observations associated with diagnostics falling out of calibration or suffering from an unidentified malfunction. These modifications enable a good agreement between Bayesian inference of the last-closed flux-surface with other corroborating data, such as that from force balance considerations using EFIT++[Appel et al., ''A unified approach to equilibrium reconstruction'' Proceedings of the 33rd EPS Conference on Plasma Physics (Rome, Italy, 2006)]. In addition, this analysis also yields errors on the plasma current profile and flux-surface geometry as well as directly predicting the Shafranov shift of the plasma core.

Nessi, G. T. von; Hole, M. J. [Research School of Physical Sciences and Engineering, Australian National University, Canberra ACT 0200 (Australia); Svensson, J. [Max-Planck-Institut fuer Plasmaphysik, D-17491 Greifswald (Germany); Appel, L. [EURATOM/CCFE Fusion Association, Culham Science Centre, Abingdon, Oxon OX14 3DB (United Kingdom)

2012-01-15T23:59:59.000Z

240

International petroleum statistics report  

SciTech Connect (OSTI)

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

NONE

1995-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" 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 petroleum statistics report  

SciTech Connect (OSTI)

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

NONE

1996-05-01T23:59:59.000Z

242

International petroleum statistics report  

SciTech Connect (OSTI)

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

NONE

1997-07-01T23:59:59.000Z

243

International petroleum statistics report  

SciTech Connect (OSTI)

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

NONE

1996-10-01T23:59:59.000Z

244

Statistics as a dynamical attractor  

E-Print Network [OSTI]

It is demonstrated that any statistics can be represented by an attractor of the solution to a corresponding systen of ODE coupled with its Liouville equation. Such a non-Newtonian representation allows one to reduce foundations of statistics to better established foundations of ODE. In addition to that, evolution to the attractor reveals possible micro-mechanisms driving random events to the final distribution of the corresponding statistical law. Special attention is concentrated upon the power law and its dynamical interpretation: it is demonstrated that the underlying dynamics supports a " violent reputation" of the power law statistics.

Michail Zak

2012-08-30T23:59:59.000Z

245

Algebraic Statistics methods Giovanni Pistone  

E-Print Network [OSTI]

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

Ceragioli, Francesca

246

Small Business Goals and Statistics  

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

& Statistics The Idaho National Laboratory (INL) is committed to supporting the small business objectives of the U.S. Government and the Department of Energy (DOE) and recognizes...

247

Statistical Analysis.indd  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage » SearchEnergyDepartmentScopingOverviewFranklin M.Engine Dynamometer Test

248

Hypothesis Testing with Nonlinear Shape Models  

E-Print Network [OSTI]

a large number of parameters that lie in nonlinear spaces, and so traditional statistical analysis tools a method for two-sample hypothesis testing for statistical shape analysis using nonlinear shape models. Our approach uses a true multivariate permutation test that is invariant to the scale of different model

Utah, University of

249

Ground-level nitrogen dioxide concentrations inferred from the satellite-borne Ozone Monitoring Instrument  

E-Print Network [OSTI]

Ground-level nitrogen dioxide concentrations inferred from the satellite-borne Ozone Monitoring; published 28 August 2008. [1] We present an approach to infer ground-level nitrogen dioxide (NO2), Ground-level nitrogen dioxide concentrations inferred from the satellite-borne Ozone Monitoring

Martin, Randall

250

Simulation based Bayesian econometric inference: principles and some recent computational advances  

E-Print Network [OSTI]

2007/15 Simulation based Bayesian econometric inference: principles and some recent computational/15 Simulation based Bayesian econometric inference: principles and some recent computational advances Lennart F aspects of simulation based Bayesian econometric inference. We start at an elementary level on basic

Nesterov, Yurii

251

Partial abductive inference in Bayesian belief networks using a genetic algorithm q  

E-Print Network [OSTI]

Partial abductive inference in Bayesian belief networks using a genetic algorithm q L.M. de Campos, Spain Abstract Abductive inference in Bayesian belief networks is the process of generating the u most's variables, this problem is called partial abductive inference. Both problems are NP-hard, and so exact

de Campos, Luis M.

252

12.864 Inference from Data and Models, Spring 2004  

E-Print Network [OSTI]

Fundamental methods used for exploring the information content of observations related to kinematical and dynamical models. Basic statistics and linear algebra for inverse methods including singular value decompositions, ...

Wunsch, Carl

253

12.864 Inference from Data and Models, Spring 2003  

E-Print Network [OSTI]

Fundamental methods used for exploring the information content of observations related to kinematical and dynamical models. Basic statistics and linear algebra for inverse methods including singular value decompositions, ...

Wunsch, Carl

254

Computer, Computational, and Statistical Sciences Division  

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

Computing CCS Division Computer, Computational, and Statistical Sciences Division Computational physics, computer science, applied mathematics, statistics and the integration of...

255

Statistical Mechanical Models and Topological Color Codes  

E-Print Network [OSTI]

We find that the overlapping of a topological quantum color code state, representing a quantum memory, with a factorized state of qubits can be written as the partition function of a 3-body classical Ising model on triangular or Union Jack lattices. This mapping allows us to test that different computational capabilities of color codes correspond to qualitatively different universality classes of their associated classical spin models. By generalizing these statistical mechanical models for arbitrary inhomogeneous and complex couplings, it is possible to study a measurement-based quantum computation with a color code state and we find that their classical simulatability remains an open problem. We complement the meaurement-based computation with the construction of a cluster state that yields the topological color code and this also gives the possibility to represent statistical models with external magnetic fields.

H. Bombin; M. A. Martin-Delgado

2007-11-03T23:59:59.000Z

256

SDI: Statistical dynamic interactions  

SciTech Connect (OSTI)

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

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

1991-04-01T23:59:59.000Z

257

A Tutorial on Time-Evolving Dynamical Bayesian Inference  

E-Print Network [OSTI]

In view of the current availability and variety of measured data, there is an increasing demand for powerful signal processing tools that can cope successfully with the associated problems that often arise when data are being analysed. In practice many of the data-generating systems are not only time-variable, but also influenced by neighbouring systems and subject to random fluctuations (noise) from their environments. To encompass problems of this kind, we present a tutorial about the dynamical Bayesian inference of time-evolving coupled systems in the presence of noise. It includes the necessary theoretical description and the algorithms for its implementation. For general programming purposes, a pseudocode description is also given. Examples based on coupled phase and limit-cycle oscillators illustrate the salient features of phase dynamics inference. State domain inference is illustrated with an example of coupled chaotic oscillators. The applicability of the latter example to secure communications based on the modulation of coupling functions is outlined. MatLab codes for implementation of the method, as well as for the explicit examples, accompany the tutorial.

Tomislav Stankovski; Andrea Duggento; Peter V. E. McClintock; Aneta Stefanovska

2014-05-21T23:59:59.000Z

258

The inferred redshift distribution of the faint blue excess  

E-Print Network [OSTI]

We infer the redshift distribution of the faint blue galaxy excess (FBE) at B=23.5 by subtracting the predicted distribution of giant/normal galaxies from the observed N(z) distribution for all types. This is possible because of the recent deep {\\it Hubble Space Telescope} (HST) WFPC2 morphological number counts which have convincingly demonstrated that little evolution of the giant population is seen to B=26.0. The mean redshift of the FBE at B=23.5 is found to be _{FBE}=0.40 +/- 0.07 with upper and lower quartiles defined by z_{0.75}=0.58 +/- 0.05 and z_{0.25}=0.28 +/- 0.05, respectively. We compare this inferred FBE N(z) distribution to the predictions from three generic faint galaxy models: dwarf dominated (no evolution), pure luminosity evolution, and evolving dwarfs. The inferred FBE N(z) distribution strongly supports a hybrid evolving dwarf--rich model wherein a large population of dwarfs present at z=0.5 has subsequently faded to obscurity. The total integrated number density of dwarfs (down to M_{B}...

Driver, S P; Phillipps, S; Windhorst, R A; Driver, Simon P; Couch, Warrick J; Phillipps, Steven; Windhorst, Rogier A

1996-01-01T23:59:59.000Z

259

The inferred redshift distribution of the faint blue excess  

E-Print Network [OSTI]

We infer the redshift distribution of the faint blue galaxy excess (FBE) at B=23.5 by subtracting the predicted distribution of giant/normal galaxies from the observed N(z) distribution for all types. This is possible because of the recent deep {\\it Hubble Space Telescope} (HST) WFPC2 morphological number counts which have convincingly demonstrated that little evolution of the giant population is seen to B=26.0. The mean redshift of the FBE at B=23.5 is found to be _{FBE}=0.40 +/- 0.07 with upper and lower quartiles defined by z_{0.75}=0.58 +/- 0.05 and z_{0.25}=0.28 +/- 0.05, respectively. We compare this inferred FBE N(z) distribution to the predictions from three generic faint galaxy models: dwarf dominated (no evolution), pure luminosity evolution, and evolving dwarfs. The inferred FBE N(z) distribution strongly supports a hybrid evolving dwarf--rich model wherein a large population of dwarfs present at z=0.5 has subsequently faded to obscurity. The total integrated number density of dwarfs (down to M_{B}=-11) is estimated to be a factor of 20 times greater than that of E---Sc galaxies and the estimated fading to be 1.0 < \\Delta m < 1.4 mags. Thus, the dwarf population is estimated to be responsible for ~30% of the luminosity density locally, rising to ~57% at z=0.5.

Simon P. Driver; Warrick J. Couch; Steven Phillipps; Rogier A. Windhorst

1996-05-10T23:59:59.000Z

260

Building statistical models by visualization  

E-Print Network [OSTI]

books · "The Elements of Graphing Data", William Cleveland, 2nd Ed. · "Visualizing Data", WilliamBuilding statistical models by visualization Tom Minka CMU Statistics Dept #12;Outline-scatterplot for unpaired data · Quantile of x = fraction of points

Minka,Tom

Note: This page contains sample records for the topic "test statistical inferences" 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

Key China Energy Statistics 2012  

E-Print Network [OSTI]

Total Crude Oil Imports: 239 Mt World's Oil Consumption (consumption - Urban Statistical Difference Appendix 3: Energy Balance/China 2010 (cont’d) Mtce Crude Oilconsumption - Urban Other Statistical Difference Appendix 3: Energy Balance/China 2010 (cont’d) Physical Quantity Crude Oil

Levine, Mark

2013-01-01T23:59:59.000Z

262

Probability, Statistics, and Stochastic Processes  

E-Print Network [OSTI]

, science, and engineering students. Other than the basic probability theory, my goal was to in- cludeProbability, Statistics, and Stochastic Processes Peter Olofsson A Wiley-Interscience Publication had been teaching a course on calculus-based probability and statistics mainly for mathematics

Olofsson, Peter

263

Statistics in Practice Forensic Science  

E-Print Network [OSTI]

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

Lucy, David

264

Testing Statistical Cloud Scheme Ideas in the GFDL Climate Model  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism in Layered NbS2 and NbSe2 . Tensile StrainTerry LawLBlog »Commerce

265

A new development cycle of the Statistical Toolkit  

E-Print Network [OSTI]

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

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

2012-01-01T23:59:59.000Z

266

Dark energy models through nonextensive Tsallis' statistics  

E-Print Network [OSTI]

The accelerated expansion of the Universe is one of the greatest challenges of modern physics. One candidate to explain this phenomenon is a new field called dark energy. In this work we have used the Tsallis nonextensive statistical formulation of the Friedmann equation to explore the Barboza-Alcaniz and Chevalier-Polarski-Linder parametric dark energy models and the Wang-Meng and Dalal vacuum decay models. After that, we have discussed the observational tests and the constraints concerning the Tsallis nonextensive parameter.

Rafael da C. Nunes; Edésio M. Barboza Jr.; Everton M. C. Abreu; Jorge Ananias Neto

2014-03-22T23:59:59.000Z

267

Planning Accelerated Destructive Degradation Test with Competing Risks  

E-Print Network [OSTI]

Planning Accelerated Destructive Degradation Test with Competing Risks Ying Shi Dept. of Statistics University Ames, IA 50011 wqmeeker@iastate.edu Abstract Accelerated destructive degradation tests (ADDTs plan specifies the test conditions of accelerating variables, running time, and the corresponding

268

Testing cosmology with cosmic sound waves  

SciTech Connect (OSTI)

Wilkinson Microwave Anisotropy Probe (WMAP) observations have accurately determined the position of the first two peaks and dips in the cosmic microwave background (CMB) temperature power spectrum. These encode information on the ratio of the distance to the last scattering surface to the sound horizon at decoupling. However prerecombination processes can contaminate this distance information. In order to assess the amplitude of these effects, we use the WMAP data and evaluate the relative differences of the CMB peak and dip multipoles. We find that the position of the first peak is largely displaced with respect to the expected position of the sound horizon scale at decoupling. In contrast, the relative spacings of the higher extrema are statistically consistent with those expected from perfect harmonic oscillations. This provides evidence for a scale dependent phase shift of the CMB oscillations which is caused by gravitational driving forces affecting the propagation of sound waves before recombination. By accounting for these effects we have performed a Markov Chain Monte Carlo likelihood analysis of the location of WMAP extrema to constrain, in combination with recent BAO data, a constant dark energy equation of state parameter w. For a flat universe we find a strong 2{sigma} upper limit w<-1.10, and including the Hubble Space Telescope prior, we obtain w<-1.14, which is only marginally consistent with limits derived from the Supernova Legacy Survey sample. On the other hand, we infer larger limits for nonflat cosmologies. From the full CMB likelihood analysis, we also estimate the values of the shift parameter R and the multipole l{sub a} of the acoustic horizon at decoupling for several cosmologies, to test their dependence on model assumptions. Although the analysis of the full CMB spectra should always be preferred, using the position of the CMB peaks and dips provides a simple and consistent method for combining CMB constraints with other data sets.

Corasaniti, Pier Stefano [LUTH, Observatoire de Paris, CNRS UMR 8102, Universite Paris Diderot, 5 Place Jules Janssen, 92195 Meudon Cedex (France); Melchiorri, Alessandro [Dipartimento di Fisica e Sezione INFN, Universita degli Studi di Roma 'La Sapienza', Ple Aldo Moro 5, 00185, Rome (Italy); CERN, Theory Division, CH-1211 Geneva 23 (Switzerland)

2008-05-15T23:59:59.000Z

269

Curvature independence of statistical entropy  

E-Print Network [OSTI]

We examine the statistical number of states, from which statistical entropy can be derived, and we show that it is an explicit function of the metric and thus observer dependent. We find a constraint on a transformation of the metric that preserves the number of states but does not preserve curvature. In showing exactly how curvature independence arises in the conventional definition of statistical entropy, we gain a precise understanding of the direction in which it needs to be redefined in the treatment of black hole entropy.

Judy Kupferman

2014-07-20T23:59:59.000Z

270

Consistency testing of models used to infer rainfall from TRMM passive microwave observations  

E-Print Network [OSTI]

, type and cloud top temperature. All data is compared with PR and TMI measurements in hopes of better calibrating the VIRS for future use as a rain measuring instrument. A brief summary of the PR, TMI and VIRS is provided on page 3. LIS has been.... 68 21 V 189. 3 10. 25 0. 68 3. 8 51. 8 2. 07 CHAPTER V PROCEDURE AND METHODS The TMI IB-11 brightness temperature and TPR IB-21 return power data sets were used in the following manner to address the objecfives of this study: First, IB-11...

Bellows, Christopher Timothy

1999-01-01T23:59:59.000Z

271

Inferred performance of surface hydraulic barriers from landfill operational data  

SciTech Connect (OSTI)

There are few published data on the field performance of surface hydraulic barriers (SHBs) used in waste containment or remediation applications. In contrast, operational data for liner systems used beneath landfills are widely available. These data are frequently collected and reported as a facility permit condition. This paper uses leachate collection system (LCS) and leak detection system (LDS) liquid flow rate and chemical quality data collected from modem landfill double-liner systems to infer the likely hydraulic performance of SHBs. Operational data for over 200 waste management unit liner systems are currently being collected and evaluated by the authors as part of an ongoing research investigation for the United States Environmental Protection Agency (USEPA). The top liner of the double-liner system for the units is either a geomembrane (GMB) alone, geomembrane overlying a geosynthetic clay liner (GMB/GCL), or geomembrane overlying a compacted clay liner (GMB/CCL). In this paper, select data from the USEPA study are used to: (i) infer the likely efficiencies of SHBs incorporating GMBs and overlain by drainage layers; and (ii) evaluate the effectiveness of SHBs in reducing water infiltration into, and drainage from, the underlying waste (i.e., source control). SHB efficiencies are inferred from calculated landfill liner efficiencies and then used to estimate average water percolation rates through SHBs as a function of site average annual rainfall. The effectiveness of SHBs for source control is investigated by comparing LCS liquid flow rates for open and closed landfill cells. The LCS flow rates for closed cells are also compared to the estimated average water percolation rates through SHBs presented in the paper.

Gross, B.A. [GeoSyntec Consultants, Austin, TX (United States); Bonaparte, R.; Othman, M.A. [GeoSyntec Consultants, Atlanta, GA (United States)

1997-12-31T23:59:59.000Z

272

Statistical Mechanics of Amplifying Apparatus  

E-Print Network [OSTI]

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

Joseph Johnson

2005-02-08T23:59:59.000Z

273

Statistics in Linguistics Tutorial Just a sip. . .  

E-Print Network [OSTI]

Statistics in Linguistics Tutorial Just a sip. . . Mike Hammond Linguistics, U. of Arizona Statistics/Hammond ­ p.1/9 #12;Overview Statistics/Hammond ­ p.2/9 #12;Overview Are our data categorical? Statistics/Hammond ­ p.2/9 #12;Overview¡ Are our data categorical? ¡ Typological claims Statistics

Fong, Sandiway

274

Inferring black hole charge from backscattered electromagnetic radiation  

E-Print Network [OSTI]

We compute the scattering cross section of Reissner-Nordstr\\"om black holes for the case of an incident electromagnetic wave. We describe how scattering is affected by both the conversion of electromagnetic to gravitational radiation, and the parity-dependence of phase shifts induced by the black hole charge. The latter effect creates a helicity-reversed scattering amplitude that is non-zero in the backward direction. We show that from the character of the electromagnetic wave scattered in the backward direction it is possible, in principle, to infer if a static black hole is charged.

Luís C. B. Crispino; Sam R. Dolan; Atsushi Higuchi; Ednilton S. de Oliveira

2014-09-16T23:59:59.000Z

275

Statistically Equivalent Representative Volume Elements for Unidirectional  

E-Print Network [OSTI]

Statistically Equivalent Representative Volume Elements for Unidirectional Composite the statistically equivalent representative volume element (SERVE) are proposed for fiber-reinforced microstructures using a bilinear cohesive zone law. As introduced in the first article, a combination of statistical

Ghosh, Somnath

276

Statistical Moments - Winter/Spring 2006  

E-Print Network [OSTI]

in Los Angeles County, UCLA Statistics Preprint No. 441 5.Point Processes, UCLA Statistics Preprint No. 377 KatherinePoint Patterns, UCLA Statistics Preprint No. 406 Kim, T. H,

UCLA Department of Statistics

2006-01-01T23:59:59.000Z

277

1.0 What is Statistics? 1.1 What is Mathematical Statistics? Random Data Basic Ideas in Statistics 1.2 Fundamental Con Mathematical Statistics  

E-Print Network [OSTI]

§1.0 What is Statistics? §1.1 What is Mathematical Statistics? Random Data Basic Ideas in Statistics §1.2 Fundamental Con Mathematical Statistics Zhang, Lixin and Dai, Jialing Course Website: www.math.zju.edu.cn/zlx/teaching.htm #12;§1.0 What is Statistics? §1.1 What is Mathematical Statistics? Random Data Basic Ideas

Zhang, Li-Xin

278

Unification of fluctuation theorems and one-shot statistical mechanics  

E-Print Network [OSTI]

Fluctuation-dissipation relations, such as Crooks' Theorem and Jarzynski's Equality, are powerful tools in quantum and classical nonequilibrium statistical mechanics. We link these relations to a newer approach known as "one-shot statistical mechanics." Rooted in one-shot information theory, one-shot statistical mechanics concerns statements true of every implementation of a protocol, not only of averages. We show that two general models for work extraction in the presence of heat baths obey fluctuation relations and one-shot results. We demonstrate the usefulness of this bridge between frameworks in several ways. Using Crooks' Theorem, we derive a bound on one-shot work quantities. These bounds are tighter, in certain parameter regimes, than a bound in the fluctuation literature and a bound in the one-shot literature. Our bounds withstand tests by numerical simulations of an information-theoretic Carnot engine. By analyzing data from DNA-hairpin experiments, we show that experiments used to test fluctuation theorems also test one-shot results. Additionally, we derive one-shot analogs of a known equality between a relative entropy and the average work dissipated as heat. Our unification of experimentally tested fluctuation relations with one-shot statistical mechanics is intended to bridge one-shot theory to applications.

Nicole Yunger Halpern; Andrew J. P. Garner; Oscar C. O. Dahlsten; Vlatko Vedral

2014-09-12T23:59:59.000Z

279

Statistical Fluctuations and Correlations in Hadronic Equilibrium Systems  

E-Print Network [OSTI]

This thesis is dedictaed to the study of fluctuation and correlation observables of hadronic equilibrium systems. The statistical hadronization model of high energy physics, in its ideal, i.e. non-interacting, gas approximation will be investigated in different ensemble formulations. The hypothesis of thermal and chemical equilibrium in high energy interaction will be tested against qualitative and quantitative predictions.

Michael Hauer

2010-07-05T23:59:59.000Z

280

Statistical Modeling of Photovoltaic Reliability Using Accelerated Degradation Techniques (Poster)  

SciTech Connect (OSTI)

We introduce a cutting-edge life-testing technique, accelerated degradation testing (ADT), for PV reliability testing. The ADT technique is a cost-effective and flexible reliability testing method with multiple (MADT) and Step-Stress (SSADT) variants. In an environment with limited resources, including equipment (chambers), test units, and testing time, these techniques can provide statistically rigorous prediction of lifetime and other interesting parameters, such as failure rate, warranty time, mean time to failure, degradation rate, activation energy, acceleration factor, and upper limit level of stress. J-V characterization can be used for degradation data and the generalized Eyring model can be used for the thermal-humidity stress condition. The SSADT model can be constructed based on the cumulative damage model (CEM), which assumes that the remaining test united are failed according to cumulative density function of current stress level regardless of the history on previous stress levels.

Lee, J.; Elmore, R.; Jones, W.

2011-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" 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

BS in STATISTICS: Biostatistics Emphasis (695233) MAP Sheet Department of Statistics  

E-Print Network [OSTI]

Statistics Stat 201 Statistics for Engineers & Scientists Stat 301 Statistics and Probability for Sec Ed Note Analysis of Variance Stat 240 Discrete Probability Stat 290 Communication of Statistical Results Stat 330BS in STATISTICS: Biostatistics Emphasis (695233) MAP Sheet Department of Statistics For students

Olsen Jr., Dan R.

282

Reference set of regulons in Desulfovibrionales inferred by comparative genomics approach  

E-Print Network [OSTI]

inferred by comparative genomics approach 1 Lawrenceout large-scale comparative genomics analysis of regulatoryEnvironmental Research, Genomics:GTL Foundational Science

Kazakov, A.E.

2011-01-01T23:59:59.000Z

283

Attributes for Causal Inference in Electronic Healthcare Databases Jenna Reps, Jonathan M. Garibaldi,  

E-Print Network [OSTI]

Attributes for Causal Inference in Electronic Healthcare Databases Jenna Reps, Jonathan M Spontaneous Reporting System (SRS) databases and Electronic Healthcare Databases (EHDs) are the databases

Aickelin, Uwe

284

E-Print Network 3.0 - automatic type inference Sample Search...  

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

Tunable Universe Type Inference Technical Report 659 Department of Computer Science, ETH Zurich... ,mernst@cs.washington.edu ETH Zurich Peter.Mueller@inf.ethz.ch December...

285

A framework of adaptive T-S type rough-fuzzy inference systems (ARFIS).  

E-Print Network [OSTI]

??[Truncated abstract] Fuzzy inference systems (FIS) are information processing systems using fuzzy logic mechanism to represent the human reasoning process and to make decisions based… (more)

Lee, Chang Su

2008-01-01T23:59:59.000Z

286

E-Print Network 3.0 - automatically infer precursor Sample Search...  

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

precursor Page: << < 1 2 3 4 5 > >> 1 Detecting patterns of fraudulent behavior in forensic accounting* Summary: ) and probabilistic semantic inference (PSI) to address this...

287

STATISTICS IN MEDICINE Statist. Med. 2009; 28:34543466  

E-Print Network [OSTI]

of Western Australia, Perth, Australia 4Centre for Statistics, University of Queensland, Brisbane, Australia, Curtin University of Technology, GPO Box U 1987, Perth, WA 6845, Australia 2Department of Management Research Institute, Curtin University of Technology, GPO Box U 1987, Perth, WA 6845, Australia. E

McLachlan, Geoff

288

Some statistics of Galactic SNRs  

E-Print Network [OSTI]

The selection effects applicable to the identification of Galactic supernova remnants (SNRs) at radio wavelengths are discussed. Low surface brightness remnants are missing, as are those with small angular sizes (including young but distant SNRs). Several statistical properties of Galactic SNRs are discussed, including the surface-brightness/diameter (Sigma-D) relation. The wide range of intrinsic properties of Galactic remnants with known distances, and the observational selection effects, means that the Sigma-D relation is of limited use to derive diameters and hence distances for individual SNRs, or for statistical studies.

D. A. Green

2005-05-20T23:59:59.000Z

289

On Statistical Aspects of Qjets  

E-Print Network [OSTI]

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

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

2014-12-05T23:59:59.000Z

290

Inferring Group Processes from Computer-Mediated Affective Text Analysis  

SciTech Connect (OSTI)

Political communications in the form of unstructured text convey rich connotative meaning that can reveal underlying group social processes. Previous research has focused on sentiment analysis at the document level, but we extend this analysis to sub-document levels through a detailed analysis of affective relationships between entities extracted from a document. Instead of pure sentiment analysis, which is just positive or negative, we explore nuances of affective meaning in 22 affect categories. Our affect propagation algorithm automatically calculates and displays extracted affective relationships among entities in graphical form in our prototype (TEAMSTER), starting with seed lists of affect terms. Several useful metrics are defined to infer underlying group processes by aggregating affective relationships discovered in a text. Our approach has been validated with annotated documents from the MPQA corpus, achieving a performance gain of 74% over comparable random guessers.

Schryver, Jack C [ORNL; Begoli, Edmon [ORNL; Jose, Ajith [Missouri University of Science and Technology; Griffin, Christopher [Pennsylvania State University

2011-02-01T23:59:59.000Z

291

Statistics Colloquium Dr. Noel Cadigan  

E-Print Network [OSTI]

:00a.m., HH-3026 Statistical problems to address for some NL fish stocks when deriving Maximum prescribed actions should occur when stock size or fishing mortality rates (F) exceed the reference points. This is the biomass that should result in the long term when fishing at Fmsy ­ the harvest rate that maximizes long

Oyet, Alwell

292

Purdue Agriculture Annual Statistical Report  

E-Print Network [OSTI]

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

293

STATISTICS AND PHILOSOPHY OF PROBABILITY  

E-Print Network [OSTI]

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

Burdzy, Krzysztof "Chris"

294

Non-statistical Weak Measurements  

E-Print Network [OSTI]

Non-statistical weak measurements yield weak values that are outside the range of eigenvalues and are not rare, suggesting that weak values are a property of every pre-and-post-selected ensemble. They also extend the applicability and valid regime of weak values.

Jeff Tollaksen; Yakir Aharonov

2006-07-28T23:59:59.000Z

295

Statistical Assistant Research Data Centre, Queens University  

E-Print Network [OSTI]

JOB OFFER Statistical Assistant Research Data Centre, Queens University Position: Statistical Assistant at the RDC, Queens University Classification: Statistics Canada term part-time CR-04 Salary: $ 44, etc.) - Provide basic assistance on the use of the computer network and statistical software

Graham, Nick

296

Statistical Seismology DAVID VERE-JONES,1  

E-Print Network [OSTI]

Statistical Seismology DAVID VERE-JONES,1 YEHUDA BEN-ZION,2 and RAMO´ N ZU´ N~ IGA 3 Introduction the last two decades. The subject of statistical seismology aims to bridge the gap between physics-based models without statistics, and statistics-based models without physics. This volume, which is based

Ben-Zion, Yehuda

297

Statistics and Discoveries at the LHC (2/4)  

ScienceCinema (OSTI)

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

None

2011-10-06T23:59:59.000Z

298

Statistics and Discoveries at the LHC (4/4)  

ScienceCinema (OSTI)

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

None

2011-10-06T23:59:59.000Z

299

Statistics and Discoveries at the LHC (3/4)  

ScienceCinema (OSTI)

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

None

2011-10-06T23:59:59.000Z

300

Statistics and Discoveries at the LHC (1/4)  

ScienceCinema (OSTI)

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

None

2011-10-06T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" 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

FRAMES Software System: Linking to the Statistical Package R  

SciTech Connect (OSTI)

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

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

2006-12-11T23:59:59.000Z

302

Introduction to statistical models and non-extensive statistics  

E-Print Network [OSTI]

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

T. S. Biro

2005-07-27T23:59:59.000Z

303

A Multimodal Fuzzy Inference System Using a Continuous Facial Expression Representation for Emotion Detection  

E-Print Network [OSTI]

Pro- cessing and Computer Vision]: Image Representation; I.5.1 [Pattern Recognition]: ModelsA Multimodal Fuzzy Inference System Using a Continuous Facial Expression Representation for Emotion a multimodal fuzzy inference system for emotion detection. The system extracts and merges visual, acoustic

Pelachaud, Catherine

304

EMULATING A GRAVITY MODEL TO INFER THE SPATIOTEMPORAL DYNAMICS OF AN INFECTIOUS DISEASE  

E-Print Network [OSTI]

EMULATING A GRAVITY MODEL TO INFER THE SPATIOTEMPORAL DYNAMICS OF AN INFECTIOUS DISEASE Roman grid. · Use pre-calculated matrices {Mtk}. GP-EMULATOR - BASED APPROACH · Based on constructing a new (proportions of zeros) on a pre-selected grid of parameters. · Second stage: We make inference based

Bjørnstad, Ottar Nordal

305

Passive Loss Inference in Wireless Sensor Networks Based on Network Coding  

E-Print Network [OSTI]

Passive Loss Inference in Wireless Sensor Networks Based on Network Coding Yunfeng Lin, Ben Liang, Baochun Li Department of Electrical and Computer Engineering University of Toronto {ylin, bli it desirable to monitor link loss rates in wireless sensor networks. In this paper, we study the loss inference

Li, Baochun

306

Inferring Intent in Eye-Based Interfaces: Tracing Eye Movements with Process Models  

E-Print Network [OSTI]

Inferring Intent in Eye-Based Interfaces: Tracing Eye Movements with Process Models Dario D dario+@cs.cmu.edu ABSTRACT While current eye-based interfaces offer enormous potential for efficient human-computer interaction, they also manifest the difficulty of inferring intent from user eye

Salvucci, Dario D.

307

What's in a Name: A Study of Names, Gender Inference, and Gender Behavior in Facebook  

E-Print Network [OSTI]

What's in a Name: A Study of Names, Gender Inference, and Gender Behavior in Facebook Cong Tang-SWS, Kaiserslautern, Germany Email: rchen@mpi-sws.org Abstract. In this paper, by crawling Facebook public profile probability. First, we use the name list as part of a novel and powerful technique for inferring Facebook

Saxena, Nitesh

308

Inferring Regulatory Elements from a Whole Genome. An Analysis of Helicobacter pylori sss80  

E-Print Network [OSTI]

Inferring Regulatory Elements from a Whole Genome. An Analysis of Helicobacter pylori sss80 Family, France Helicobacter pylori is adapted to life in a unique niche, the gastric epi- thelium of primates inference; promoter; Helicobacter pylori; prokaryotes*Corresponding author Introduction Helicobacter pylori

Marsan, Laurent

309

Lifting WALKSAT-based Local Search Algorithms for MAP Inference Somdeb Sarkhel  

E-Print Network [OSTI]

Lifting WALKSAT-based Local Search Algorithms for MAP Inference Somdeb Sarkhel Computer Science in probabilistic graphical models, and lift it to the first-order level, yielding a powerful algorithm for MAP inference in Markov logic net- works (MLNs). Lifted MaxWalkSAT is based on the obser- vation that if the MLN

Gogate, Vibhav

310

A concept for Inferring `Frontier Research' in Research Project Dirk Holste1*  

E-Print Network [OSTI]

A concept for Inferring `Frontier Research' in Research Project Proposals Dirk Holste1* , Ivana This paper discusses a concept for inferring attributes of `frontier research' in peer-reviewed research) to conceptualize and define, automatically extract, and comparatively assess attributes of frontier research

Paris-Sud XI, Université de

311

On the Three Forms of Non-Deductive Inferences: Induction, Abduction, and Design  

E-Print Network [OSTI]

On the Three Forms of Non-Deductive Inferences: Induction, Abduction, and Design Makoto Kikuchi@kobe-u.ac.jp ABSTRACT Induction and abduction are well known non-deductive inferences. We shall propose that design-Based Reasoning, Case-Based Reasoning, Induc- tion, Abduction, Design, Channel Theory 1 Introduction In the late

Kikuchi, Makoto

312

Face-centered cubic (FCC) lattice models for protein folding: energy function inference and biplane packing  

E-Print Network [OSTI]

Face-centered cubic (FCC) lattice models for protein folding: energy function inference and biplane simplified. The objective of PSP (also known as protein folding) is to select the molecule conformation which to infer general energy functions for the protein folding problem. While the general problem is intractable

Istrail, Sorin

313

testSubmit.ps  

E-Print Network [OSTI]

Jan 26, 2004 ... 597–632, Springer, Berlin, Berlin 2003. [19] Mark Stefik, Inferring DNA structures from segmentation data, Artificial Intelligence 11 (1978), 85–.

2004-01-26T23:59:59.000Z

314

Statistical Analysis of a Three-dimensional Axial Strain and Axial-shear Strain Elastography Algorithm  

E-Print Network [OSTI]

of decorrelation in the RF data. In this thesis, a 3D elastography algorithm that estimates all the three components of tissue displacement is implemented and tested statistically. In this research, displacement fields of mechanical models are simulated. RF signals...

Li, Mohan

2012-10-19T23:59:59.000Z

315

Pricing statistics sourcebook. 5. edition  

SciTech Connect (OSTI)

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

NONE

1999-11-01T23:59:59.000Z

316

Parallel contingency statistics with Titan.  

SciTech Connect (OSTI)

This report summarizes existing statistical engines in VTK/Titan and presents the recently parallelized contingency statistics engine. It is a sequel to [PT08] and [BPRT09] which studied the parallel descriptive, correlative, multi-correlative, and principal component analysis engines. The ease of use of this new parallel engines is illustrated by the means of C++ code snippets. Furthermore, this report justifies the design of these engines with parallel scalability in mind; however, the very nature of contingency tables prevent this new engine from exhibiting optimal parallel speed-up as the aforementioned engines do. This report therefore discusses the design trade-offs we made and study performance with up to 200 processors.

Thompson, David C.; Pebay, Philippe Pierre

2009-09-01T23:59:59.000Z

317

Parallel auto-correlative statistics with VTK.  

SciTech Connect (OSTI)

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

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

2013-08-01T23:59:59.000Z

318

The Role of Technology in Improving Student Learning of Statistics  

E-Print Network [OSTI]

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

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

2007-01-01T23:59:59.000Z

319

Inferences On The Hydrothermal System Beneath The Resurgent Dome...  

Open Energy Info (EERE)

(Farrar, Et Al., 2003) Ground Gravity Survey At Long Valley Caldera Geothermal Area (Battaglia, Et Al., 2003) Injectivity Test At Long Valley Caldera Geothermal Area (Farrar, Et...

320

Inferring Magnetospheric Heavy Ion Density using EMIC Waves  

SciTech Connect (OSTI)

We present a method to infer heavy ion concentration ratios from EMIC wave observations that result from ionion hybrid (IIH) resonance. A key feature of the ion-ion hybrid resonance is the concentration of wave energy in a field-aligned resonant mode that exhibits linear polarization. This mode converted wave is localized at the location where the frequency of a compressional wave driver matches the IIH resonance condition, which depends sensitively on the heavy ion concentration. This dependence makes it possible to estimate the heavy ion concentration ratio. In this letter, we evaluate the absorption coefficients at the IIH resonance at Earth's geosynchronous orbit for variable concentrations of He+ and field-aligned wave numbers using a dipole magnetic field. Although wave absorption occurs for a wide range of heavy ion concentrations, it only occurs for a limited range of field-aligned wave numbers such that the IIH resonance frequency is close to, but not exactly the same as the crossover frequency. Using the wave absorption and observed EMIC waves from GOES-12 satellite, we demonstrate how this technique can be used to estimate that the He+ concentration is around 4% near L = 6.6.

Kim, Eun-Hwa; Johnson, Jay R.; Kim, Hyomin; Lee, Dong-Hun

2014-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" 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

Methods For Planning Accelerated Repeated Measures Degradation Tests  

E-Print Network [OSTI]

Methods For Planning Accelerated Repeated Measures Degradation Tests Brian P. Weaver Statistical of Statistics Iowa State University Ames, IA 50010 wqmeeker@iastate.edu September 3, 2013 Abstract Accelerated-variable accelerated repeated measures degradation test plan when the (possibly transformed) degradation is linear

322

HistFitter software framework for statistical data analysis  

E-Print Network [OSTI]

We present a software framework for statistical data analysis, called HistFitter, that has been used extensively by the ATLAS Collaboration to analyze big datasets originating from proton-proton collisions at the Large Hadron Collider at CERN. Since 2012 HistFitter has been the standard statistical tool in searches for supersymmetric particles performed by ATLAS. HistFitter is a programmable and flexible framework to build, book-keep, fit, interpret and present results of data models of nearly arbitrary complexity. Starting from an object-oriented configuration, defined by users, the framework builds probability density functions that are automatically fitted to data and interpreted with statistical tests. A key innovation of HistFitter is its design, which is rooted in core analysis strategies of particle physics. The concepts of control, signal and validation regions are woven into its very fabric. These are progressively treated with statistically rigorous built-in methods. Being capable of working with multiple data models at once, HistFitter introduces an additional level of abstraction that allows for easy bookkeeping, manipulation and testing of large collections of signal hypotheses. Finally, HistFitter provides a collection of tools to present results with publication-quality style through a simple command-line interface.

M. Baak; G. J. Besjes; D. Cote; A. Koutsman; J. Lorenz; D. Short

2014-10-06T23:59:59.000Z

323

Velocity centroids as tracers of the turbulent velocity statistics  

E-Print Network [OSTI]

We use the results of magnetohydrodynamic (MHD) simulations to emulate spectroscopic observations and use maps of centroids to study their statistics. In order to assess under which circumstances the scaling properties of the velocity field can be retrieved from velocity centroids, we compare two point statistics (structure functions and power-spectra) of velocity centroids with those of the underlying velocity field and analytic predictions presented in a previous paper (Lazarian & Esquivel 2003). We tested a criterion for recovering velocity spectral index from velocity centroids derived in our previous work, and propose an approximation of the early criterion using only the variances of ``unnormalized'' velocity centroids and column density maps. It was found that both criteria are necessary, however not sufficient to determine if the centroids recover velocity statistics. Both criteria are well fulfilled for subsonic turbulence. We find that for supersonic turbulence with sonic Mach numbers > 2.5 centroids fail to trace the spectral index of velocity. Asymptotically, however, we claim that recovery of velocity statistics is always possible provided that the density spectrum is steep and the observed inertial range is sufficiently extended. In addition, we show that velocity centroids are useful for anisotropy studies and determining the direction of magnetic field, even if the turbulence is highly supersonic, but only if it is sub-Alfvenic. This provides a tool for mapping the magnetic field direction, and testing whether the turbulence is sub-Alfvenic or super-Alfvenic.

A. Esquivel; A. Lazarian

2005-05-28T23:59:59.000Z

324

A test for second order stationarity of a time series based on the Discrete Fourier Transform  

E-Print Network [OSTI]

A test for second order stationarity of a time series based on the Discrete Fourier Transform property, we construct a Portmanteau type test statistic for testing stationarity of the time series. It is shown that under the null of stationarity, the test statistic is approximately a chi square distribution

Subba Rao, Suhasini

325

NDE reliability through round robin testing  

SciTech Connect (OSTI)

This book presents the papers given at a conference on the accuracy of nondestructive testing. Topics considered at the conference included the design of a round robin ultrasonic testing program for piping, new advances in nondestructive evaluation analysis, the statistical handling of the data, the requalification of ultrasonic testing inspectors for the detection of intergranular stress corrosion cracking in BWR plants, and an overview of round robin testing.

Fong, J.T.; Mordfin, L.; Hedden, O.F.; Bush, S.H.

1986-01-01T23:59:59.000Z

326

Test Images  

E-Print Network [OSTI]

Test Images. I hope to have a set of test images for the course soon. Some images are available now; some will have to wait until I can find another 100-200

327

Seismic Attribute Analysis Using Higher Order Statistics  

E-Print Network [OSTI]

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

Greenidge, Janelle Candice

2009-05-15T23:59:59.000Z

328

Kansas Statistical Abstract 2005 (40th Edition)  

E-Print Network [OSTI]

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

Policy Research Institute

2008-10-21T23:59:59.000Z

329

Kansas Statistical Abstract 2001 (36th Edition)  

E-Print Network [OSTI]

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

2002-12-01T23:59:59.000Z

330

Kansas Statistical Abstract 2004 (39th Edition)  

E-Print Network [OSTI]

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

Policy Research Institute

2006-01-31T23:59:59.000Z

331

Kansas Statistical Abstract 2003 (38th Edition)  

E-Print Network [OSTI]

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

Policy Research Institute

2004-09-01T23:59:59.000Z

332

Kansas Statistical Abstract 2012 (47th Edition)  

E-Print Network [OSTI]

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

Institute for Policy & Social Research

2014-05-27T23:59:59.000Z

333

Kansas Statistical Abstract 2002 (37th Edition)  

E-Print Network [OSTI]

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

2003-09-01T23:59:59.000Z

334

|Research Focus Statistical decision theory and evolution  

E-Print Network [OSTI]

|Research Focus Statistical decision theory and evolution Laurence T. Maloney Department recent articles by Geisler and Diehl use Bayesian statistical decision theory to model the co, an advantage that ultimately translates into `reproductive success'. The balance between predator and prey

Maloney, Laurence T.

335

Stratigraphic statistical curvature analysis techniques  

SciTech Connect (OSTI)

SCAT applies statistical techniques to dipmeter data to identify patterns of bulk curvature, determine transverse and longitudinal structural directions, and reconstruct cross sections and contour maps. STRAT-SCAT applies the same concepts to geometric interpretation of multistoried unimodal, bimodal, or trough-type cross-bedding and also to seismic stratigraphy-scale stratigraphic structures. Structural dip, which comprises the bulk of dipmeter data, is related to beds that (statistically) were deposited with horizontal attitudes; stratigraphic dip is related to beds that were deposited with preferentially oriented nonhorizontal attitudes or to beds that assumed such attitudes because of differential compaction. Stratigraphic dip generates local zones of departure from structural dip on special SCAT plots. The RMS (root-mean-square) of apparent structural dip is greatest in the (structural) T-direction and least in the perpendicular L-direction; the RMS of stratigraphic dip (measured with respect to structural dip) is greatest in the stratigraphic T*-direction and least in the stratigraphic L*-direction. Multistoried, cross-bedding appears on T*-plots as local zones of either greater scatter or statistically significant departure of stratigraphic median dip from structural dip. In contrast, the L*-plot (except for trough-type cross-bedding) is sensitive to cross-bedding. Seismic stratigraphy-scale depositional sequences are identified on Mercator dip versus azimuth plots and polar tangent plots as secondary cylindrical-fold patterns imposed on global structural patterns. Progradational sequences generate local cycloid-type patterns on T*-plots, and compactional sequences generate local cycloid-type patterns on T*-plots, and compactional sequences generate local half-cusp patterns. Both features, however, show only structural dip on L*-plots.

Bengtson, C.A.; Ziagos, J.P.

1987-05-01T23:59:59.000Z

336

Transportation Statistics Annual Report 1997  

SciTech Connect (OSTI)

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

337

The Statistics of Crumpled Paper  

E-Print Network [OSTI]

A statistical study of crumpled paper is allowed by a minimal 1D model: a self-avoiding line bent at sharp angles -- in which resides the elastic energy -- put in a confining potential. Many independent equilibrium configurations are generated numerically and their properties are investigated. At small confinement, the distribution of segment lengths is log-normal in agreement with previous predictions and experiments. At high confinement, the system approaches a jammed state with a critical behavior, whereas the length distribution follows a Gamma law which parameter is predicted as a function of the number of layers in the system.

Eric Sultan; Arezki Boudaoud

2005-09-06T23:59:59.000Z

338

On statistics of molecular chaos  

E-Print Network [OSTI]

It is shown that the BBGKY equations for a particle interacting with ideal gas imply exact relations between probability distribution of path of the particle, its derivatives in respect to the gas density and irreducible many-particle correlations of gas atoms with the path. These relations visualize that the correlations of any order always significantly contribute to evolution of the path distribution, so that the exact statistical mechanics theory does not reduce to the classical kinetics even in the low-density (or Boltzmann-Grad) limit.

Yuriy Kuzovlev

2009-11-03T23:59:59.000Z

339

Nonstationary statistical theory for multipactor  

SciTech Connect (OSTI)

This work presents a new and general approach to the real dynamics of the multipactor process: the nonstationary statistical multipactor theory. The nonstationary theory removes the stationarity assumption of the classical theory and, as a consequence, it is able to adequately model electron exponential growth as well as absorption processes, above and below the multipactor breakdown level. In addition, it considers both double-surface and single-surface interactions constituting a full framework for nonresonant polyphase multipactor analysis. This work formulates the new theory and validates it with numerical and experimental results with excellent agreement.

Anza, S.; Vicente, C.; Gil, J. [Aurora Software and Testing S.L., Edificio de Desarrollo Empresarial 9B, Universidad Politecnica de Valencia, Camino de Vera s/n, 46022 Valencia (Spain); Boria, V. E. [Departamento de Comunicaciones-iTEAM, Universidad Politecnica de Valencia, Camino de Vera s/n, 46022 Valencia (Spain); Gimeno, B. [Departamento de Fisica Aplicada y Electromagnetismo-ICMUV, Universitat de Valencia, c/Dr. Moliner, 50, 46100 Valencia (Spain); Raboso, D. [Payloads Systems Division, European Space Agency, 2200-AG Noordwijk (Netherlands)

2010-06-15T23:59:59.000Z

340

FY98 To Present Statistics  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicy andExsolutionFES6FY 2011 OIG(SC) 2FY98 To Present Statistics

Note: This page contains sample records for the topic "test statistical inferences" 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

Electric field statistics in MHD turbulence  

E-Print Network [OSTI]

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

Low, Robert

342

Writing statistics project reports October 8, 2001  

E-Print Network [OSTI]

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

Painter, Kevin

343

Statistical Physics of RNA folding Ralf Bundschuh  

E-Print Network [OSTI]

Statistical Physics of RNA folding Ralf Bundschuh Ohio State University August 15, 2007 Ralf Bundschuh (Ohio State University) Statistical Physics of RNA folding August 15, 2007 1 / 119 #12;Outline University) Statistical Physics of RNA folding August 15, 2007 2 / 119 #12;Part I Introduction to RNA biology

Bundschuh, Ralf

344

Evaluating statistic appropriateness for Bayesian model choice  

E-Print Network [OSTI]

Evaluating statistic appropriateness for Bayesian model choice Jean-Michel Marin I3M, UMR CNRS 5149, Universit´e Montpellier 2. France. Natesh S. Pillai Department of Statistics, Harvard University, Cambridge Rousseau ENSAE and CREST, Paris, France. Summary. The choice of the summary statistics in Bayesian

Paris-Sud XI, Université de

345

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

346

Linearity -statistics 1.1B training  

E-Print Network [OSTI]

Linearity - statistics IPAT 1.1B training 300M training D0 resolution is evaluated using 100k. Black is a bank with 3.5 times as much statistics. There may be a hint of slight improvement;Narrow beam + high statistics IPAT Default FTK constants Narrow-beam constants Reconstruction performance

347

STATISTICS COLLOQUIUM MONDAY, MARCH 24, 2014  

E-Print Network [OSTI]

STATISTICS COLLOQUIUM MONDAY, MARCH 24, 2014 TALK: 4:15 PM -- SCIENCE CENTER RM. 705 RECEPTION: 3 Department of Statistics University of California, Berkeley ABSTRACT In a 2009 PNAS article, based on work at appropriate speeds. We discuss these results and argue that while they are hard to interpret statistically

Schrag, Daniel

348

Statistics beyond Physics -Misused in Public ?  

E-Print Network [OSTI]

Statistics beyond Physics - Misused in Public ? S. KOBE Institut für Theoretische Physik Technische are three kinds of lies: Lies, damned lies, and statistics" attributed by Mark TWAIN to the 19th Century gefälscht habe. (Do not trust any statistics you did not fake yourself.)" attributed by ... to the 20th

Kobe, Sigismund

349

Department of Statistics University of California, Berkeley  

E-Print Network [OSTI]

.berkeley.edu 367A Evans Hall 510-642-1430 510-643-6131 | cco@stat.berkeley.edu Undergraduate major website: http://www.stat.berkeley.edu/?id evaluated by assist.org or the Math Department) are acceptable. Core Statistics Courses (2 courses): Stat 134 (or 101) Concepts of Probability Stat 135 (or 102) Concepts of Statistics Statistics Electives (3

El Karoui, Noureddine

350

FISHERY STATISTICS OF THE UNITED STATES  

E-Print Network [OSTI]

FISHERY STATISTICS OF THE UNITED STATES 1946 BY A. W. ANDERSON and E. A. POWER UNITED STATES GOVERNMENT Statistics of the United States, 1946 #12;FISHERY STATISTICS OF THE UNITED STATES: 1946 By A. W. ANDERSON City 129 Section 4. - Chesapeake Fisheries 131 Sectional Summaries 133 Mary I and 137 Vi rginia 140

351

Statistical methods for detecting loss of materials using NRTA data  

SciTech Connect (OSTI)

The authors selected eight sequential statistical tests and studied their performance on near-real-time-accounting (NRTA) data that is nominally what is expected from the proposed Rokkasho Reprocessing Plant in Japan. The effort divided into three main activities: (1) use process-flow information to determine process vessel inventories and transfers at the time of material balance closure, (2) use variance propagation methods to estimate the variance-covariance matrix of a sequence of material balances, and (3) study the performance of eight sequential tests on a variety of loss scenarios. This paper describes the results of these three activities.

Burr, T.; Coulter, A.; Hakkila, A. [Los Alamos National Lab., NM (United States); Ai, H.; Kadokura, I.; Fujimaki, K. [Japan Nuclear Fuel Ltd., Tokyo (Japan)

1995-12-31T23:59:59.000Z

352

Statistical Methods Handbook for Advanced Gas Reactor Fuel Materials  

SciTech Connect (OSTI)

Fuel materials such as kernels, coated particles, and compacts are being manufactured for experiments simulating service in the next generation of high temperature gas reactors. These must meet predefined acceptance specifications. Many tests are performed for quality assurance, and many of these correspond to criteria that must be met with specified confidence, based on random samples. This report describes the statistical methods to be used. The properties of the tests are discussed, including the risk of false acceptance, the risk of false rejection, and the assumption of normality. Methods for calculating sample sizes are also described.

J. J. Einerson

2005-05-01T23:59:59.000Z

353

Mapping the energy and diffusion landscapes of membrane proteins at the cell surface using high-density single-molecule imaging and Bayesian inference: application to the multi-scale dynamics of glycine receptors in the neuronal membrane  

E-Print Network [OSTI]

Protein mobility is conventionally analyzed in terms of an effective diffusion. Yet, this description often fails to properly distinguish and evaluate the physical parameters (such as the membrane friction) and the biochemical interactions governing the motion. Here, we present a method combining high-density single-molecule imaging and statistical inference to separately map the diffusion and energy landscapes of membrane proteins across the cell surface at ~100 nm resolution (with acquisition of a few minutes). When applying these analytical tools to glycine neurotransmitter receptors (GlyRs) at inhibitory synapses, we find that gephyrin scaffolds act as shallow energy traps (~3 kBT) for GlyRs, with a depth modulated by the biochemical properties of the receptor-gephyrin interaction loop. In turn, the inferred maps can be used to simulate the dynamics of proteins in the membrane, from the level of individual receptors to that of the population, and thereby, to model the stochastic fluctuations of physiologi...

Masson, Jean-Baptiste; Salvatico, Charlotte; Renner, Marianne; Specht, Christian G; Triller, Antoine; Dahan, Maxime

2015-01-01T23:59:59.000Z

354

Accuracy and reliability of China's energy statistics  

SciTech Connect (OSTI)

Many observers have raised doubts about the accuracy and reliability of China's energy statistics, which show an unprecedented decline in recent years, while reported economic growth has remained strong. This paper explores the internal consistency of China's energy statistics from 1990 to 2000, coverage and reporting issues, and the state of the statistical reporting system. Available information suggests that, while energy statistics were probably relatively good in the early 1990s, their quality has declined since the mid-1990s. China's energy statistics should be treated as a starting point for analysis, and explicit judgments regarding ranges of uncertainty should accompany any conclusions.

Sinton, Jonathan E.

2001-09-14T23:59:59.000Z

355

Department of Statistics MASTER'S THESIS PRESENTATION  

E-Print Network [OSTI]

and per capita cigarette consumption allowing appropriate inferences to be made about other variables The University of Chicago Generalized Linear Models for Smoking Prevalence and Consumption FRIDAY, November 15 is to determine what factors influence smoking prevalence and cigarette consumption in the United States. The data

Stephens, Matthew

356

Reliability in Comparative and Ethnographic Observations: The Example of High Inference  

E-Print Network [OSTI]

Reliability in Comparative and Ethnographic Observations: The Example of High Inference Father 92697 ABSTRACT: The theory of reliability and reliability estimates, nearly a century old, has rarely the reliabilities of composite measurement scales combining multiple measures, of individual independent

White, Douglas R.

357

Geostatistical inference of hydraulic conductivity and dispersivities from hydraulic heads and tracer data  

E-Print Network [OSTI]

Geostatistical inference of hydraulic conductivity and dispersivities from hydraulic heads; accepted 25 April 2006; published 10 August 2006. [1] In groundwater, hydraulic heads and solute arrival times depend primarily on the hydraulic conductivity field and hydraulic boundary conditions. The spread

Cirpka, Olaf Arie

358

Inference in tough places : essays on modeling and matching with applications to civil conflict  

E-Print Network [OSTI]

This dissertation focuses on the challenges of making inferences from observational data in the social sciences, with particular application to situations of violent conflict. The first essay utilizes quasi-experimental ...

Hazlett, Chad J

2014-01-01T23:59:59.000Z

359

From free energy measurements to free energy inference in small systems Felix Ritort  

E-Print Network [OSTI]

From free energy measurements to free energy inference in small systems the knowledge of the free energy of nucleic acid and protein structures the free energy of pure equilibrium states, FTs have been extended

Potsdam, Universität

360

E-Print Network 3.0 - adaptive-network-based fuzzy inference...  

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

Trans... series modelling The fuzzy rule-based system (FRBS) or fuzzy inference system (FIS) is a popular... to have a crisp output, especially in a situation where a ... Source:...

Note: This page contains sample records for the topic "test statistical inferences" 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

Journal of Volcanology & Geothermal Research : 2007 Diversity of eruptive styles inferred from the microlites of Mt  

E-Print Network [OSTI]

Journal of Volcanology & Geothermal Research : 2007 Diversity of eruptive styles inferred from and Gardner, 2005]). This leads to a non-explosive open- #12;Journal of Volcanology & Geothermal Research

Boyer, Edmond

362

STATISTICS and PROBABILITY Statistics is the science and practice of developing  

E-Print Network [OSTI]

STATISTICS and PROBABILITY Definition Statistics is the science and practice of developing human knowledge through the use of empirical data expressed in quantitative form. It is based on statistical theory which is supposed to be a branch of applied mathematics. Within statistical theory, randomness

Bolch, Tobias

363

STATISTICS DEPARTMENT CODE 1 REVISED JANUARY 2003 OF THE DEPARTMENT OF STATISTICS  

E-Print Network [OSTI]

STATISTICS DEPARTMENT CODE 1 REVISED JANUARY 2003 CODE1 OF THE DEPARTMENT OF STATISTICS Colorado and primary appointment outside of Statistics [see (q)], and "regular faculty" comprises those faculty holding in Statistics as defined by the Academic Faculty and Administrative Professional Manual). A quorum for any

364

Statistics Page 233Sonoma State University 2012-2013 Catalog DEPARTMENT OF MATHEMATICS AND STATISTICS  

E-Print Network [OSTI]

Statistics Page 233Sonoma State University 2012-2013 Catalog STATISTICS DEPARTMENT OF MATHEMATICS AND STATISTICS Darwin Hall 114 phone: (707) 664-2368 fax: (707) 664-3535 www.sonoma.edu/math DEPARTMENT CHAIR Sam Brannen STATISTICS PROGRAM ADVISORS Susan Herring Elaine McDonald-Newman Scott Nickleach ADMINISTRATIVE

Ravikumar, B.

365

Statistics Page 239Sonoma State University 2014-2015 Catalog DEPARTMENT OF MATHEMATICS AND STATISTICS  

E-Print Network [OSTI]

Statistics Page 239Sonoma State University 2014-2015 Catalog STATISTICS DEPARTMENT OF MATHEMATICS AND STATISTICS Darwin Hall 114 phone: (707) 664-2368 fax: (707) 664-3535 www.sonoma.edu/math DEPARTMENT CHAIR Brigitte Lahme STATISTICS PROGRAM ADVISORS Susan Herring Elaine Newman ADMINISTRATIVE COORDINATOR Marybeth

Ravikumar, B.

366

Statistical Mechanics of Resource Allocation  

E-Print Network [OSTI]

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

Inoue, Jun-ichi

2014-01-01T23:59:59.000Z

367

Three regimes of extrasolar planets inferred from host star metallicities  

E-Print Network [OSTI]

Approximately half of the extrasolar planets (exoplanets) with radii less than four Earth radii are in orbits with short periods. Despite their sheer abundance, the compositions of such planets are largely unknown. The available evidence suggests that they range in composition from small, high-density rocky planets to low-density planets consisting of rocky cores surrounded by thick hydrogen and helium gas envelopes. Understanding the transition from the gaseous planets to Earth-like rocky worlds is important to estimate the number of potentially habitable planets in our Galaxy and provide constraints on planet formation theories. Here we report the abundances of heavy elements (that is, the metallicities) of more than 400 stars hosting 600 exoplanet candidates, and find that the exoplanets can be categorized into three populations defined by statistically distinct (~ 4.5{\\sigma}) metallicity regions. We interpret these regions as reflecting the formation regimes of terrestrial-like planets (radii less than 1...

Buchhave, Lars A; Latham, David W; Sasselov, Dimitar; Cochran, William D; Endl, Michael; Isaacson, Howard; Juncher, Diana; Marcy, Geoffrey W

2014-01-01T23:59:59.000Z

368

User Statistics Collection Practices Archives | U.S. DOE Office...  

Office of Science (SC) Website

a Glance User Resources User Statistics Policies and Processes Definition Designation Process User Statistics Collection Practices User Statistics Collection Practices Archives...

369

Primary aluminum: statistical analysis of potline fluoride emissions and alternate sampling frequency. Final report  

SciTech Connect (OSTI)

Statistical analyses were performed on 4 years of fluoride emissions data from a primary aluminum reduction plant. These analyses were used to develop formulae and procedures for use by regulatory agencies in determining alternate sampling frequencies for secondary (roof monitor) emissions testing on a case-by-case basis. Monitoring procedures for ensuring compliance even with a reduced test frequency are also addressed.

Not Available

1986-10-01T23:59:59.000Z

370

Neutron beam testing of triblades  

SciTech Connect (OSTI)

Four IBM Triblades were tested in the Irradiation of Chips and Electronics facility at the Los Alamos Neutron Science Center. Triblades include two dual-core Opteron processors and four PowerXCell 8i (Cell) processors. The Triblades were tested in their field configuration while running different applications, with the beam aimed at the Cell processor or the Opteron running the application. Testing focused on the Cell processors, which were tested while running five different applications and an idle condition. While neither application nor Triblade was statistically important in predicting the hazard rate, the hazard rate when the beam was aimed at the Opterons was significantly higher than when it was aimed at the Cell processors. In addition, four Cell blades (one in each Triblade) suffered voltage shorts, leading to their inoperability. The hardware tested is the same as that in the Roadrunner supercomputer.

Michalak, Sarah E [Los Alamos National Laboratory; Du Bois, Andrew J [Los Alamos National Laboratory; Storlie, Curtis B [Los Alamos National Laboratory; Rust, William N [Los Alamos National Laboratory; Du Bois, David H [Los Alamos National Laboratory; Modl, David G [Los Alamos National Laboratory; Quinn, Heather M [Los Alamos National Laboratory; Blanchard, Sean P [Los Alamos National Laboratory; Manuzzato, Andrea [UNIV DEGLI STUDI DI PADOVA ITALY

2010-12-16T23:59:59.000Z

371

INDIAN STATISTICAL INSTITUTE DELHI CENTRE  

E-Print Network [OSTI]

solar water heater panel manufacturers / Contractors with proven technical and financial capabilities ) Name of the work: Design, Supply,Installation, Testing and Commissioning of New Solar water Heater points other than Price and Part II ( Price bid ) should contain the Price. Part I and Part II should

Bandyopadhyay, Antar

372

A Statistical Solar Flare Forecast Method  

E-Print Network [OSTI]

A Bayesian approach to solar flare prediction has been developed, which uses only the event statistics of flares already observed. The method is simple, objective, and makes few ad hoc assumptions. It is argued that this approach should be used to provide a baseline prediction for certain space weather purposes, upon which other methods, incorporating additional information, can improve. A practical implementation of the method for whole-Sun prediction of Geostationary Observational Environment Satellite (GOES) events is described in detail, and is demonstrated for 4 November 2003, the day of the largest recorded GOES flare. A test of the method is described based on the historical record of GOES events (1975-2003), and a detailed comparison is made with US National Oceanic and Atmospheric Administration (NOAA) predictions for 1987-2003. Although the NOAA forecasts incorporate a variety of other information, the present method out-performs the NOAA method in predicting mean numbers of event days, for both M-X and X events. Skill scores and other measures show that the present method is slightly less accurate at predicting M-X events than the NOAA method, but substantially more accurate at predicting X events, which are important contributors to space weather.

M. S. Wheatland

2005-05-14T23:59:59.000Z

373

Statistical pressure snakes based on color images.  

SciTech Connect (OSTI)

The traditional mono-color statistical pressure snake was modified to function on a color image with target errors defined in HSV color space. Large variations in target lighting and shading are permitted if the target color is only specified in terms of hue. This method works well with custom targets where the target is surrounded by a color of a very different hue. A significant robustness increase is achieved in the computer vision capability to track a specific target in an unstructured, outdoor environment. By specifying the target color to contain hue, saturation and intensity values, it is possible to establish a reasonably robust method to track general image features of a single color. This method is convenient to allow the operator to select arbitrary targets, or sections of a target, which have a common color. Further, a modification to the standard pixel averaging routine is introduced which allows the target to be specified not only in terms of a single color, but also using a list of colors. These algorithms were tested and verified by using a web camera attached to a personal computer.

Schaub, Hanspeter [ORION International Technologies, Albuquerque, NM

2004-05-01T23:59:59.000Z

374

Statistical Mechanics and Quantum Cosmology  

E-Print Network [OSTI]

Statistical mechanical concepts and processes such as decoherence, correlation, and dissipation can prove to be of basic importance to understanding some fundamental issues of quantum cosmology and theoretical physics such as the choice of initial states, quantum to classical transition and the emergence of time. Here we summarize our effort in 1) constructing a unified theoretical framework using techniques in interacting quantum field theory such as influence functional and coarse-grained effective action to discuss the interplay of noise, fluctuation, dissipation and decoherence; and 2) illustrating how these concepts when applied to quantum cosmology can alter the conventional views on some basic issues. Two questions we address are 1) the validity of minisuperspace truncation, which is usually assumed without proof in most discussions, and 2) the relevance of specific initial conditions, which is the prevailing view of the past decade. We also mention how some current ideas in chaotic dynamics, dissipative collective dynamics and complexity can alter our view of the quantum nature of the universe.

B. L. Hu

1995-11-29T23:59:59.000Z

375

Essays on microeconomics and statistical decision making  

E-Print Network [OSTI]

An Introduction to Econometric Theory. Princeton Universityand S. Low (1989): An Econometric Analysis of the Bankextensive statistical and econometric literature concerned

Nieto Barthaburu, Augusto

2006-01-01T23:59:59.000Z

376

Moore honored with American Statistical Association award  

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

impact. Moore is a Fellow of the Royal Statistical Society. Her awards include Certified Six Sigma Master Black Belt, Laboratory Distinguished Performance Team Award, and a...

377

Test Comparability  

E-Print Network [OSTI]

KU ScholarWorks | http://kuscholarworks.ku.edu Test Comparability 2010 by Christine Keller and David Shulenburger This work has been made available by the University of Kansas Libraries’ Office of Scholarly Communication and Copyright. Please... and Shulenburger, David. “Test comparability,” with Christine Keller in the Letters section of Change, September/October 2010, p. 6. Published version: http://www.changemag.org/Archives/Back%20 Issues/September-October%202010/letters-to-editor.html Terms of Use...

Keller, Christine; Shulenburger, David E.

2010-01-01T23:59:59.000Z

378

Effects of errors in the solar radius on helioseismic inferences  

E-Print Network [OSTI]

Frequencies of intermediate-degree f-modes of the Sun seem to indicate that the solar radius is smaller than what is normally used in constructing solar models. We investigate the possible consequences of an error in radius on results for solar structure obtained using helioseismic inversions. It is shown that solar sound speed will be overestimated if oscillation frequencies are inverted using reference models with a larger radius. Using solar models with radius of 695.78 Mm and new data sets, the base of the solar convection zone is estimated to be at radial distance of $0.7135\\pm 0.0005$ of the solar radius. The helium abundance in the convection zone as determined using models with OPAL equation of state is $0.248\\pm 0.001$, where the errors reflect the estimated systematic errors in the calculation, the statistical errors being much smaller. Assuming that the OPAL opacities used in the construction of the solar models are correct, the surface $Z/X$ is estimated to be $0.0245\\pm 0.0006$.

Sarbani Basu

1997-12-09T23:59:59.000Z

379

Statistical mechanical theory for steady-state systems. III. Heat flow in a Lennard-Jones fluid  

E-Print Network [OSTI]

Statistical mechanical theory for steady-state systems. III. Heat flow in a Lennard-Jones fluid March 2005; accepted 4 May 2005; published online 28 June 2005 A statistical mechanical theory for heat distribution for heat flow down an imposed thermal gradient is tested with simulations of a Lennard-Jones fluid

Attard, Phil

380

JSS Journal of Statistical Software April 2009, Volume 30, Book Review 1. http://www.jstatsoft.org/  

E-Print Network [OSTI]

, engineering, computer science, and biology, among other disciplines. It covers core topics in probability on probability theory and while a few topics in statistical estimation and hypothesis testing are touched on of a two-semester course on probability and statistics. The book consists of ten chapters and two

Maloney, Laurence T.

Note: This page contains sample records for the topic "test statistical inferences" 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

A test for second order stationarity of a time series based on the Discrete Fourier Transform -Technical report  

E-Print Network [OSTI]

A test for second order stationarity of a time series based on the Discrete Fourier Transform stationary. Exploiting this important property, we construct a Portmanteau type test statistic for testing stationarity of the time series. It is shown that under the null of stationarity, the test statistic has

Subba Rao, Suhasini

382

A Bootstrap Approach to Computing Uncertainty in Inferred Oil and Gas Reserve Estimates  

SciTech Connect (OSTI)

This study develops confidence intervals for estimates of inferred oil and gas reserves based on bootstrap procedures. Inferred reserves are expected additions to proved reserves in previously discovered conventional oil and gas fields. Estimates of inferred reserves accounted for 65% of the total oil and 34% of the total gas assessed in the U.S. Geological Survey's 1995 National Assessment of oil and gas in US onshore and State offshore areas. When the same computational methods used in the 1995 Assessment are applied to more recent data, the 80-year (from 1997 through 2076) inferred reserve estimates for pre-1997 discoveries located in the lower 48 onshore and state offshore areas amounted to a total of 39.7 billion barrels of oil (BBO) and 293 trillion cubic feet (TCF) of gas. The 90% confidence interval about the oil estimate derived from the bootstrap approach is 22.4 BBO to 69.5 BBO. The comparable 90% confidence interval for the inferred gas reserve estimate is 217 TCF to 413 TCF. The 90% confidence interval describes the uncertainty that should be attached to the estimates. It also provides a basis for developing scenarios to explore the implications for energy policy analysis.

Attanasi, Emil D. [US Geological Survey MS 956 (United States)], E-mail: attanasi@usgs.gov; Coburn, Timothy C. [Abilene Christian University, Department of Management Science (United States)

2004-03-15T23:59:59.000Z

383

Software Testing and Maintenance 1 Regression Testing  

E-Print Network [OSTI]

1 Software Testing and Maintenance 1 Regression Testing Introduction Test Selection Test Minimization Test Prioritization Summary Software Testing and Maintenance 2 What is it? Regression testing refers to the portion of the test cycle in which a program is tested to ensure that changes do not affect

Lei, Jeff Yu

384

Test Automation Ant JUnit Test Automation  

E-Print Network [OSTI]

Test Automation Ant JUnit Test Automation Mohammad Mousavi Eindhoven University of Technology, The Netherlands Software Testing 2012 Mousavi: Test Automation #12;Test Automation Ant JUnit Outline Test Automation Ant JUnit Mousavi: Test Automation #12;Test Automation Ant JUnit Why? Challenges of Manual Testing

Mousavi, Mohammad

385

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

E-Print Network [OSTI]

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

Hitchcock, Adam P.

386

BS in ACTUARIAL SCIENCE (695224) MAP Sheet Department of Statistics  

E-Print Network [OSTI]

BS in ACTUARIAL SCIENCE (695224) MAP Sheet Department of Statistics For students entering of Statistics Stat 151 Intro to Bayesian Statistics Stat 201 Statistics for Engineers & Scientists Stat 301 Statistics & Probability for Sec Ed Note: Students who have passed the AP statistics exam or an introductory

Olsen Jr., Dan R.

387

Taught Postgraduate programmes in the School of Mathematics and Statistics  

E-Print Network [OSTI]

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

Guo, Zaoyang

388

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

E-Print Network [OSTI]

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

389

8.334 Statistical Mechanics II: Statistical Mechanics of Fields, Spring 2004  

E-Print Network [OSTI]

A two-semester course on statistical mechanics. Basic principles are examined in 8.333: the laws of thermodynamics and the concepts of temperature, work, heat, and entropy. Postulates of classical statistical mechanics, ...

Kardar, Mehran

390

QUEEN'S UNIVERSITY STAT 367: Engineering Statistics  

E-Print Network [OSTI]

QUEEN'S UNIVERSITY STAT 367: Engineering Statistics Winter, 2010 Instructor: Charles Molson, Jeffery 206, cmolson@mast.queensu.ca, 613-533-2416 Text: Engineering Statistics 4th Edition, by D% or 10%, 10%, 80% evaluation schemes. You can logon to the course WebCT site at www

Offin, Dan

391

Statistical Review of California's Organic Agriculture  

E-Print Network [OSTI]

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

Ferrara, Katherine W.

392

Statistical Model Computation with UDFs Carlos Ordonez  

E-Print Network [OSTI]

, USA Abstract--Statistical models are generally computed outside a DBMS due to their mathematical complexity. We introduce techniques to efficiently compute fundamental statistical models inside a DBMS of primitive scalar UDFs to score data sets. Experiments compare UDFs and SQL queries (running inside the DBMS

Ordonez, Carlos

393

An introduction to classical and statistical thermodynamics  

E-Print Network [OSTI]

An introduction to classical and statistical thermodynamics a conceptual understanding Kwok of thermodynamics ­ concept of energy conservation 4. Second law of thermodynamics ­ concept of entropy 5. Introduction to statistical thermodynamics 03/2011 K.W. Cheng, Thermodynamics 2 #12;3 1. Introduction · study

394

NONEQUILIBRIUM QUANTUM STATISTICAL MECHANICS AND THERMODYNAMICS #  

E-Print Network [OSTI]

NONEQUILIBRIUM QUANTUM STATISTICAL MECHANICS AND THERMODYNAMICS # Walid K. Abou Salem + Institut f recent progress in deriving the fundamental laws of thermodynamics (0 th , 1 st and 2 nd ­law) from nonequilibrium quantum statistical mechanics. Basic thermodynamic notions are clarified and di#erent reversible

395

Scientific Data Analysis via Statistical Learning  

E-Print Network [OSTI]

observations and simulations. Statistical machine learning algorithms have enormous potential to provide data, and the analysis of hurricanes and tropical storms in climate simulations. #12;Supervised Learning for SupernovaScientific Data Analysis via Statistical Learning Raquel Romano romano at hpcrd dot lbl dot gov

Geddes, Cameron Guy Robinson

396

Bureau of Justice Statistics Program Report  

E-Print Network [OSTI]

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

Hemmers, Oliver

397

Inga Maslova Department of Mathematics and Statistics  

E-Print Network [OSTI]

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

Lansky, Joshua

398

Mathematics and Statistics College of Engineering  

E-Print Network [OSTI]

and Statistics is located in the Erskine building. Reception is on Level 4 on the north side. The department has of computers in a wide range of academic areas has led to an increasing demand for statistical and mathematical new tools and techniques to deal with problems in areas from business management to biology, as well

Hickman, Mark

399

FISHERY STATISTICS OF THE UNITED STATES  

E-Print Network [OSTI]

STATISTICS OF THE UNITED STATES 1945 BY A. W. ANDERSON and E. A. POWER UNITED STATES GOVERNMENT PRINTING: 1945 By A. W. ANDERSON, Chief, branch of Commercial Fisheries and E. A. POWEK, Chief, Statistical at New York City ' -- Section 4. - Chesapeake Fisheries Sect ional Summari es Mary I and V i rg i n i

400

Statistical Analysis of EXTREMES in GEOPHYSICS  

E-Print Network [OSTI]

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

Gilleland, Eric

Note: This page contains sample records for the topic "test statistical inferences" 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

Large-Scale Optimization for Bayesian Inference in Complex Systems  

SciTech Connect (OSTI)

The SAGUARO (Scalable Algorithms for Groundwater Uncertainty Analysis and Robust Optimization) Project focused on the development of scalable numerical algorithms for large-scale Bayesian inversion in complex systems that capitalize on advances in large-scale simulation-based optimization and inversion methods. The project was a collaborative effort among MIT, the University of Texas at Austin, Georgia Institute of Technology, and Sandia National Laboratories. The research was directed in three complementary areas: efficient approximations of the Hessian operator, reductions in complexity of forward simulations via stochastic spectral approximations and model reduction, and employing large-scale optimization concepts to accelerate sampling. The MIT--Sandia component of the SAGUARO Project addressed the intractability of conventional sampling methods for large-scale statistical inverse problems by devising reduced-order models that are faithful to the full-order model over a wide range of parameter values; sampling then employs the reduced model rather than the full model, resulting in very large computational savings. Results indicate little effect on the computed posterior distribution. On the other hand, in the Texas--Georgia Tech component of the project, we retain the full-order model, but exploit inverse problem structure (adjoint-based gradients and partial Hessian information of the parameter-to-observation map) to implicitly extract lower dimensional information on the posterior distribution; this greatly speeds up sampling methods, so that fewer sampling points are needed. We can think of these two approaches as ``reduce then sample'' and ``sample then reduce.'' In fact, these two approaches are complementary, and can be used in conjunction with each other. Moreover, they both exploit deterministic inverse problem structure, in the form of adjoint-based gradient and Hessian information of the underlying parameter-to-observation map, to achieve their speedups.

Willcox, Karen [MIT] [MIT; Marzouk, Youssef [MIT] [MIT

2013-11-12T23:59:59.000Z

402

9. Statistical Energy Analysis (SEA) 80 9. Statistical Energy Analysis (SEA)  

E-Print Network [OSTI]

9. Statistical Energy Analysis (SEA) 80 _____________________________________________________________________________ 9. Statistical Energy Analysis (SEA) 9.1 Introduction In this chapter an introduction to a framework denoted Statistical Energy Analysis was developed in the 1960's, to a great extent to clarify and handle

Berlin,Technische Universität

403

STAT 152: Introduction to Statistics -Fall 2013 Department of Mathematics and Statistics, University of Nevada Reno  

E-Print Network [OSTI]

STAT 152: Introduction to Statistics - Fall 2013 Department of Mathematics and Statistics TA or the instructor during our office hours. Course Description and Prerequisites: STAT 152://www.knowledgecenter.unr.edu/dataworks/citrixinfo.html with your Net ID. The knowledge of MINITAB will help you with your statistical projects long after we

Kozubowski, Tomasz J.

404

STAT 152: Introduction to Statistics -Fall 2012 Department of Mathematics and Statistics, University of Nevada Reno  

E-Print Network [OSTI]

STAT 152: Introduction to Statistics - Fall 2012 Department of Mathematics and Statistics TA or the instructor during our office hours. Course Description and Prerequisites: STAT 152://www.knowledgecenter.unr.edu/dataworks/citrixinfo.html with your Net ID. The knowledge of MINITAB will help you with your statistical projects long after we

Kozubowski, Tomasz J.

405

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

E-Print Network [OSTI]

The multi-detector F-statistic is close to optimal for detecting continuous gravitational waves (CWs) in Gaussian noise. However, it is susceptible to false alarms from instrumental artefacts, for example quasi-monochromatic disturbances ('lines'), which resemble a CW signal more than Gaussian noise. In a recent paper [Keitel et al 2014, PRD 89 064023], a Bayesian model selection approach was used to derive line-robust detection statistics for CW signals, generalising both the F-statistic and the F-statistic consistency veto technique and yielding improved performance in line-affected data. Here we investigate a generalisation of the assumptions made in that paper: if a CW analysis uses data from two or more detectors with very different sensitivities, the line-robust statistics could be less effective. We investigate the boundaries within which they are still safe to use, in comparison with the F-statistic. Tests using synthetic draws show that the optimally-tuned version of the original line-robust statistic remains safe in most cases of practical interest. We also explore a simple idea on further improving the detection power and safety of these statistics, which we however find to be of limited practical use.

David Keitel; Reinhard Prix

2015-01-16T23:59:59.000Z

406

Verification Testing Test Driven Development Testing with JUnit Verification  

E-Print Network [OSTI]

Verification Testing Test Driven Development Testing with JUnit Verification Any activity should be verified. #12;Verification Testing Test Driven Development Testing with JUnit Approaches to verification 1 Testing 2 Static Analysis · Peer review · Insepction/Walk-through/Structured review · Formal

Peters, Dennis

407

Statistics of the electromagnetic response of a chaotic reverberation chamber  

E-Print Network [OSTI]

This article presents a study of the electromagnetic response of a chaotic reverberation chamber (RC) in the presence of losses. By means of simulations and of experiments, the fluctuations in the maxima of the field obtained in a conventional mode-stirred RC are compared with those in a chaotic RC in the neighborhood of the Lowest Useable Frequency (LUF). The present work illustrates that the universal spectral and spatial statistical properties of chaotic RCs allow to meet more adequately the criteria required by the Standard IEC 61000-4-21 to perform tests of electromagnetic compatibility.

J. -B. Gros; U. Kuhl; O. Legrand; F. Mortessagne; O. Picon; E. Richalot

2014-09-20T23:59:59.000Z

408

STATISTICAL PROPERTIES OF GAMMA-RAY BURST POLARIZATION  

SciTech Connect (OSTI)

The emission mechanism and the origin and structure of magnetic fields in gamma-ray burst (GRB) jets are among the most important open questions concerning the nature of the central engine of GRBs. In spite of extensive observational efforts, these questions remain to be answered and are difficult or even impossible to infer with the spectral and light-curve information currently collected. Polarization measurements will lead to unambiguous answers to several of these questions. Recent developments in X-ray and {gamma}-ray polarimetry techniques have demonstrated a significant increase in sensitivity, enabling several new mission concepts, e.g., Polarimeters for Energetic Transients (POET), providing wide field of view and broadband polarimetry measurements. If launched, missions of this kind would finally provide definitive measurements of GRB polarizations. We perform Monte Carlo simulations to derive the distribution of GRB polarizations in three emission models; the synchrotron model with a globally ordered magnetic field (SO model), the synchrotron model with a small-scale random magnetic field (SR model), and the Compton drag model (CD model). The results show that POET, or other polarimeters with similar capabilities, can constrain the GRB emission models by using the statistical properties of GRB polarizations. In particular, the ratio of the number of GRBs for which the polarization degrees can be measured to the number of GRBs that are detected (N{sub m} /N{sub d} ) and the distributions of the polarization degrees ({pi}) can be used as the criteria. If N{sub m} /N{sub d} > 30% and {pi} is clustered between 0.2 and 0.7, the SO model will be favored. If, instead, N{sub m} /N{sub d} < 15%, then the SR or CD model will be favored. If several events with {pi}>0.8 are observed, then the CD model will be favored.

Toma, Kenji [Department of Astronomy and Astrophysics, Pennsylvania State University, 525 Davey Lab, University Park, PA 16802 (United States); Sakamoto, Takanori; Hill, Joanne E. [CRESST and NASA Goddard Space Flight Center, Greenbelt, MD 20771 (United States); Zhang, Bing [Department of Physics and Astronomy, University of Nevada Las Vegas, Las Vegas, NV 89154 (United States); McConnell, Mark L.; Bloser, Peter F. [Space Science Center, University of New Hampshire, Durham, NH 03824 (United States); Yamazaki, Ryo [Department of Physical Science, Hiroshima University, Higashi-Hiroshima, Hiroshima 739-8526 (Japan); Ioka, Kunihito [Theory Division, KEK (High Energy Accelerator Research Organization), 1-1 Oho, Tsukuba 305-0801 (Japan); Nakamura, Takashi [Department of Physics, Kyoto University, Kyoto 606-8502 (Japan)], E-mail: toma@astro.psu.edu

2009-06-20T23:59:59.000Z

409

Topology for statistical modeling of petascale data.  

SciTech Connect (OSTI)

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

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

2011-07-01T23:59:59.000Z

410

Scalable k-means statistics with Titan.  

SciTech Connect (OSTI)

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

411

Statistical regimes of random laser fluctuations  

SciTech Connect (OSTI)

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

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

2007-06-15T23:59:59.000Z

412

Statistical Properties of a Quantum Cellular Automaton  

E-Print Network [OSTI]

We study a quantum cellular automaton (QCA) whose time-evolution is defined from global transition function of classical cellular automata (CA). In order to investigate natural transformations from CA to QCA, the present QCA includes CA with Wolfram's rule 150 and 105 as special cases. We firstly compute the time-evolution of the QCA and examine its statistical properties. As a basic statistical value, the probability of finding an active cell averaged over a spatial-temporal space is introduced, and the difference between CA and QCA is considered. In addition, it is shown that statistical properties in QCA are related to the classical trajectory in the configuration space.

Norio Inui; Shuichi Inokuchi; Yoshihiro Mizoguchi; Norio Konno

2005-06-28T23:59:59.000Z

413

Quantum Statistical Processes in the Early Universe  

E-Print Network [OSTI]

We show how the concept of quantum open system and the methods in non-equilibrium statistical mechanics can be usefully applied to studies of quantum statistical processes in the early universe. We first sketch how noise, fluctuation, dissipation and decoherence processes arise in a wide range of cosmological problems. We then focus on the origin and nature of noise in quantum fields and spacetime dynamics. We introduce the concept of geometrodynamic noise and suggest a statistical mechanical definition of gravitational entropy. We end with a brief discussion of the theoretical appropriateness to view the physical universe as an open system.

B. L. Hu

1993-02-22T23:59:59.000Z

414

Verifying Test Hypotheses -HOL/TestGen Verifying Test Hypotheses -HOL/TestGen  

E-Print Network [OSTI]

Verifying Test Hypotheses - HOL/TestGen Verifying Test Hypotheses - HOL/TestGen An Experiment in Test and Proof Thomas Malcher January 20, 2014 1 / 20 #12;Verifying Test Hypotheses - HOL/TestGen HOL/TestGen Outline Introduction Test Hypotheses HOL/TestGen - Demo Verifying Test Hypotheses Conclusion 2 / 20 #12

415

Statistical Issues in Astrophysical Searches for Particle Dark Matter  

E-Print Network [OSTI]

In this review statistical issues appearing in astrophysical searches for particle dark matter, i.e. indirect detection (dark matter annihilating into standard model particles) or direct detection (dark matter particles scattering in deep underground detectors) are discussed. One particular aspect of these searches is the presence of very large uncertainties in nuisance parameters (astrophysical factors) that are degenerate with parameters of interest (mass and annihilation/decay cross sections for the particles). The likelihood approach has become the most powerful tool, offering at least one well motivated method for incorporation of nuisance parameters and increasing the sensitivity of experiments by allowing a combination of targets superior to the more traditional data stacking. Other statistical challenges appearing in astrophysical searches are to large extent similar to any new physics search, for example at colliders, a prime example being the calculation of trial factors. Frequentist methods prevail for hypothesis testing and interval estimation, Bayesian methods are used for assessment of nuisance parameters and parameter estimation in complex parameter spaces. The basic statistical concepts will be exposed, illustrated with concrete examples from experimental searches and caveats will be pointed out.

Jan Conrad

2014-10-14T23:59:59.000Z

416

HEV Fleet Testing - 2010 Ford Fusion vin#4757  

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

757 Fleet Testing Results To Date Operating Statistics Distance Driven: 145,595 Average Trip Distance: 11.3 mi Stop Time with Engine Idling: 11% Trip Type CityHighway:...

417

Inscrutable OPEC? : behavioral tests of the cartel hypothesis  

E-Print Network [OSTI]

We show that standard statistical tests of OPEC behavior have very low power across a wide range of alternative hypotheses regarding market structure. Consequently, it is difficult, given the current availability and ...

Smith, James L.

2003-01-01T23:59:59.000Z

418

Microgrid Testing  

SciTech Connect (OSTI)

With the publication of IEEE 1574.4 Guide for Design, Operation, and Integration of Distributed Resource Island Systems with Electric Power Systems, there is an increasing amount of attention on not only the design and operations of microgrids, but also on the proper operation and testing of these systems. This standard provides alternative approaches and good practices for the design, operation, and integration of microgrids. This includes the ability to separate from and reconnect to part of the utility grid while providing power to the islanded power system. This presentation addresses the industry need to develop standardized testing and evaluation procedures for microgrids in order to assure quality operation in the grid connected and islanded modes of operation.

Shirazi, M.; Kroposki, B.

2012-01-01T23:59:59.000Z

419

Connecting models to the real world : game theory in action  

E-Print Network [OSTI]

and Inference in Econometric Models: Festschrift in Honor ofthat involve econometric testing and experimentation. Casualand methods of statistical and econometric analysis, and the

Alexandrova, Anna

2006-01-01T23:59:59.000Z

420

Regional tree growth and inferred summer climate in the Winnipeg River basin, Canada, since AD 1783  

E-Print Network [OSTI]

changes in summer climate within the Winnipeg River basin, Canada, since AD 1783. The basin drains parts the center of their range usually exhibit a more complex relationship with climate (Hughes, 2002Regional tree growth and inferred summer climate in the Winnipeg River basin, Canada, since AD 1783

Evans, Michael N.

Note: This page contains sample records for the topic "test statistical inferences" 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

Holocene Paleohydrology and Paleoclimate at Treeline, North-Central Russia, Inferred from Oxygen Isotope  

E-Print Network [OSTI]

Holocene Paleohydrology and Paleoclimate at Treeline, North-Central Russia, Inferred from Oxygen Institute for Geography, Russian Academy of Sciences, Staromonetny Pereulok 29, Moscow 109017, Russia, 1998 Lake-water oxygen-isotope histories for three lakes in northern Russia, derived from the cellulose

Edwards, Thomas W.D.

422

Asymptotic Inference for AR Models with Heavy-tailed G-GARCH Noises  

E-Print Network [OSTI]

Asymptotic Inference for AR Models with Heavy-tailed G-GARCH Noises Rongmao Zhang Department-tailed G-GARCH(1,1) noises. When the tail index of G-GARCH is within (0, 2), it is shown that the LSE and finance. Keywords: AR model, G-GARCH, heavy-tailed and stable processes 1 #12;1 Introduction Since

Ling, Shiqing

423

TRACKING THE "ODD": METER INFERENCE IN A CULTURALLY DIVERSE MUSIC CORPUS  

E-Print Network [OSTI]

TRACKING THE "ODD": METER INFERENCE IN A CULTURALLY DIVERSE MUSIC CORPUS Andre Holzapfel New York, containing a variety of meter types. We demonstrate that by adapting the model to specific styles, we can track beats and down- beats in odd meter types like 9/8 or 7/8 with an accuracy significantly improved

424

Proton Exchange Membrane Fuel Cell degradation prediction based on Adaptive Neuro Fuzzy Inference Systems  

E-Print Network [OSTI]

Proton Exchange Membrane Fuel Cell degradation prediction based on Adaptive Neuro Fuzzy Inference online XX XX XXXX Keywords: Proton Exchange Membrane fuel cell degradation, Prognostic and Health nominal operating condition of a PEM fuel cell stack. It proposes a methodology based on Adaptive Neuro

Paris-Sud XI, Université de

425

Late quaternary environmental changes in Patagonia as inferred from lacustrine fossil and extant ostracods  

E-Print Network [OSTI]

Late quaternary environmental changes in Patagonia as inferred from lacustrine fossil and extant lacustrine basins: Laguna Cari-Laufquen (41°S) and Lago Cardiel (49°S) in Patagonia. Taxonomic an excellent proxy for interpreting palaeoclimatic and palaeoenvironmental changes in Patagonia. © 2011

Wehrli, Bernhard

426

The political gender gap: Gender bias in facial inferences that predict voting behavior  

E-Print Network [OSTI]

1 The political gender gap: Gender bias in facial inferences that predict voting behavior Joan Y human history, a disproportionate degree of political power around the world has been held by men. Even in democracies where the opportunity to serve in top political positions is available to any individual elected

Chiao, Joan Y.

427

Spatially-varying SAR models and Bayesian Inference for High-Resolution Lattice Data  

E-Print Network [OSTI]

Spatially-varying SAR models and Bayesian Inference for High-Resolution Lattice Data Chiranjit Inverse problems Lattice data Non-stationary random fields Satellite imagery data Sparse spatial model- lenge our modelling and computational abilities as data volumes increase. Similarly, as spatial scales

West, Mike

428

Inferring the Evolutionary History of IncP-1 Plasmids Despite Incongruence among Backbone Gene Trees  

E-Print Network [OSTI]

for human health and environmental remediation. Although it is well understood that the accessory genes is expected to produce conflicting gene tree topologies. The main goal of this study was therefore to infer; Sen et al. 2011), streams (Smalla et al. 2006; Akiyama et al. 2010), and waste- water treatment plants

Sullivan, Jack

429

Variations in the diet of introduced Norway rats (Rattus norvegicus) inferred using stable isotope analysis  

E-Print Network [OSTI]

Variations in the diet of introduced Norway rats (Rattus norvegicus) inferred using stable isotope predators; island ecosystem conservation; stable isotope analysis; Norway rats; diet. Correspondence Heather of introduced Norway rats Rattus norvegicus has raised concerns for the fate of the large least auklet Aethia

Jones, Ian L.

430

The path inference filter: model-based low-latency map matching of probe  

E-Print Network [OSTI]

of automation onboard vehicles have created a very fertile ground for GPS data sources from probe vehicles for example [4], and the paradigm of connected (and automated) vehicles does not automatically translateThe path inference filter: model-based low-latency map matching of probe vehicle data Timothy

Abbeel, Pieter

431

Inferring What a User is Not Interested In Robert C. Holte  

E-Print Network [OSTI]

and success rate with which users browse software libraries. The system is a learning apprentice: it monitors and success rate of browsing we have developed a "learning apprentice" [Mitchell et al.,1985] that attempts apprentice is monitoring his actions. From the sequence of user actions the learning apprentice infers

Holte, Robert

432

Hydromechanical interactions in a fractured carbonate reservoir inferred from hydraulic and mechanical measurements  

E-Print Network [OSTI]

Hydromechanical interactions in a fractured carbonate reservoir inferred from hydraulic, France Abstract Hydromechanical coupled processes in a shallow fractured carbonate reservoir rock were of hydraulic loading/unloading of a water reservoir in which fluid flow occurs mainly inside a heterogeneous

Paris-Sud XI, Université de

433

Electron density inside Enceladus plume inferred from plasma oscillations excited by dust impacts  

E-Print Network [OSTI]

1 Department of Physics and Astronomy, University of Iowa, Iowa City, Iowa, USA, 2 LASP, University and electron spectrometers [Jones et al., 2009; Hill et al., 2012]. The nanoparticles appear as high-energy a sweeping voltage, and the ion and electron density can be inferred from the current balance. It is found

Gurnett, Donald A.

434

Energy-efficient Model Inference in Wireless Sensing: Asymmetric Data Processing  

E-Print Network [OSTI]

Energy-efficient Model Inference in Wireless Sensing: Asymmetric Data Processing Paul G. Flikkema assessment and management of model uncertainty. At the same time, energy constraints impose the need--The ultimate product of distributed sensing is nor- mally a model that describes the data or a set of processes

435

LADE-based Inference for ARMA Models with Unspecified and Heavy-tailed Heteroscedastic Noises  

E-Print Network [OSTI]

and Van Dijk (1996) studied several stock market indexes by AR(1)-GJR(1, 1) models, Zhu and Ling (2011) fitted a MA(3)-GARCH(1, 1) model to the world oil prices, see also Tsay (2005) for more empiricalLADE-based Inference for ARMA Models with Unspecified and Heavy-tailed Heteroscedastic Noises

Ling, Shiqing

436

The Balance-Sample Size Frontier in Matching Methods for Causal Inference  

E-Print Network [OSTI]

The Balance-Sample Size Frontier in Matching Methods for Causal Inference Gary King Christopher defining and showing how to calculate the matching frontier as the set of matching solutions with maximum solutions from the frontier for analysis in one step without iteration. The main difficulty in this strategy

437

The Balance-Sample Size Frontier in Matching Methods for Causal Inference1  

E-Print Network [OSTI]

The Balance-Sample Size Frontier in Matching Methods for Causal Inference1 Gary King2 Institute: easier & more powerful · Estimate the (n-imbalance) "matching frontier" 2 / 55 #12;Overview · Problem-hoc checks · Solution: easier & more powerful · Estimate the (n-imbalance) "matching frontier" · Imbalance

438

On Channel State Inference and Prediction Using Observable Variables in 802.11b Network  

E-Print Network [OSTI]

strength of each individual bit, are not observable at higher layers. Therefore, it is essential/prediction (CSI/CSP). Here, inference specifically refers to estimating the BER in an already received packet that analyzes the utility of SSR and as side-information for CSI/CSP. In this work, we exploit the Method

Radha, Hayder

439

Inferring Propagation Direction of Nonlinear Internal Waves in a Vertically Sheared Background Flow  

E-Print Network [OSTI]

Inferring Propagation Direction of Nonlinear Internal Waves in a Vertically Sheared Background Flow are resistant to heaving. The beamwise method provides accurate predictions of wave propagation angle for cases 2005). Determining the wave propagation di- rection, so that one may in turn identify potential lo

Kelley, Dan

440

Dirty Little Secrets: Inferring Fossil-Fuel Subsidies from Patterns in Emission Intensities1  

E-Print Network [OSTI]

Dirty Little Secrets: Inferring Fossil-Fuel Subsidies from Patterns in Emission Intensities1 database of directly measured fossil-fuel subsidies exists at the in- ternational level. I develop and to develop a database of comparable fossil-fuel subsidies for 155 countries from 1980 to 2010. Finally, I

Spino, Claude

Note: This page contains sample records for the topic "test statistical inferences" 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

Fine Structure of the Solar Wind Turbulence Inferred from Simultaneous Radio Occultation Observations at  

E-Print Network [OSTI]

Fine Structure of the Solar Wind Turbulence Inferred from Simultaneous Radio Occultation Observations at Widely-Spaced Ground Stations M.K. Bird , P. Janardhan , A.I. Efimov, L.N. Samoznaev, V extended for up to four hours, thereby allowing studies of solar wind turbulence dynamics at spatial scales

Padmanabhan, Janardhan

442

An Analysis of Grain Production Decline During the Early Transition in Ukraine: Bayesian Inference  

E-Print Network [OSTI]

An Analysis of Grain Production Decline During the Early Transition in Ukraine: Bayesian Inference and pesticides (World Bank). The emergence of private opportunities resulted in labor and management migration in the sector. The ability of farms produce efficiently was also affected by the transition- related break

443

Safe Upper-bounds Inference of Energy Consumption for Java Bytecode Applications  

E-Print Network [OSTI]

Safe Upper-bounds Inference of Energy Consumption for Java Bytecode Applications (Extended Abstract relying on autonomous on-board data analysis. Intermediate Representation Resource Usage Analysis Energy- mize energy consumption. Several approaches have been developed for estimating the en- ergy consumption

Politécnica de Madrid, Universidad

444

On Sandstrm's inferences from his tank experiments a hundred years later  

E-Print Network [OSTI]

1 On Sandström's inferences from his tank experiments ­ a hundred years later Till Kuhlbrodt;2 Abstract In 1908, J.W. Sandström conducted several tank experiments to illustrate oceanic circulations. Such overturning circulations are found in the atmos- phere and in the ocean, and they have been treated in tank

Kuhlbrodt, Till

445

Crustal and upper mantle structure of southernmost South America inferred from regional waveform inversion  

E-Print Network [OSTI]

Crustal and upper mantle structure of southernmost South America inferred from regional waveform; published 24 January 2003. [1] We determine the crustal and upper mantle structure of southern South America Information Related to Geographic Region: South America; KEYWORDS: niching genetic algorithm, regional

446

Net ecosystem fluxes of isoprene over tropical South America inferred from Global Ozone Monitoring Experiment (GOME)  

E-Print Network [OSTI]

Net ecosystem fluxes of isoprene over tropical South America inferred from Global Ozone Monitoring estimate isoprene emissions over tropical South America during 1997­2001 using column measurements (ATSR) firecounts and GOME NO2 columns. We find that South America can be split into eastern and western

Chance, Kelly

447

Abductive Inference using Array-Based Logic Jeppe Revall Frisvad1  

E-Print Network [OSTI]

Abductive Inference using Array-Based Logic Jeppe Revall Frisvad1 Peter Falster1 Gert L. Møller2@arraytechnology.com Abstract The notion of abduction has found its usage within a wide variety of AI fields. Computing abduc- tractability we present a new approach to logic- based abduction; through the geometrical view of data employed

448

Mineralogy of Martian atmospheric dust inferred from thermal infrared spectra of aerosols  

E-Print Network [OSTI]

Mineralogy of Martian atmospheric dust inferred from thermal infrared spectra of aerosols Victoria deconvolution algorithm to the spectra to model the dust mineralogy. Models of the M9 IRIS transmission data generally are of poor quality, and the mineralogical results of these fits are unlikely to be valid. Fits

Hamilton, Victoria E.

449

Hydrogen and Primary Productivity: Inference of Biogeochemistry from Phylogeny in a Geothermal Ecosystem  

E-Print Network [OSTI]

113 Hydrogen and Primary Productivity: Inference of Biogeochemistry from Phylogeny in a Geothermal, unexpectedly, that hydrogen-metabolizing organisms, both known and novel, dominate these communities. Hydrogen geothermal area by gas chromatography to survey the potential distribution of hydrogen concentrations in high

450

An Observational Estimate of Inferred Ocean Energy Divergence KEVIN E. TRENBERTH AND JOHN T. FASULLO  

E-Print Network [OSTI]

An Observational Estimate of Inferred Ocean Energy Divergence KEVIN E. TRENBERTH AND JOHN T, in final form 25 September 2007) ABSTRACT Monthly net surface energy fluxes (FS) over the oceans ocean energy content" are compared with the directly observed ocean energy content (OE) and tendency

Fasullo, John

451

Inferring surface heat flux distributions guided by a global seismic model: particular application to Antarctica  

E-Print Network [OSTI]

-flow measurements are rare or entirely absent. This will result in a smooth global heat-flow map that may proveInferring surface heat flux distributions guided by a global seismic model: particular application to Antarctica Nikolai M. Shapiro*, Michael H. Ritzwoller Department of Physics, Center for Imaging the Earth

Shapiro, Nikolai

452

Bayesian Models for Spatial Extremes Application to inferring high values of  

E-Print Network [OSTI]

Bayesian Models for Spatial Extremes Application to inferring high values of ground-level ozone by the National Science Foundation (NSF) #12;Outline · Background to Ozone Application · Background to Extreme Value Analysis ­ Two approaches: 1. Model all of the data, and look at extremes. 2. Only model

Gilleland, Eric

453

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

454

ALICIA L. CARRIQUIRY Department of Statistics  

E-Print Network [OSTI]

., Universidad de la RepĂşblica, Uruguay, December, 1981. EXPERIENCE Associate Provost, (three quarter and Biological Statistics, Universidad de la RepĂşblica del Uruguay, Montevideo, Uruguay, March 2009 to date

Carriquiry, Alicia

455

Structured Language Models for Statistical Machine Translation  

E-Print Network [OSTI]

Structured Language Models for Statistical Machine Translation Ying Zhang CMU-LTI-09-009 Language of Doctor of Philosophy In Language and Information Technologies © 2009, Ying Zhang #12;c Copyright Ying

Eskenazi, Maxine

456

STATISTICS 590 STUDENT EXPERIMENTAL DESIGN PROJECT  

E-Print Network [OSTI]

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

Buyske, Steve

457

Statistical Risk Estimation for Communication System Design  

E-Print Network [OSTI]

May 2012 SSL # 6-12 #12;#12;Statistical Risk Estimation for Communication System Design Alessandra Babuscia, David W. Miller May 2012 SSL # 6-12 This work is based on the unaltered text of the thesis

458

Intelligent Transportation Systems Deployment Statistics Database  

E-Print Network [OSTI]

Intelligent Transportation Systems Deployment Statistics Database Oak Ridge National Laboratory direction. In addition, through the ITS Deployment Tracking web site, the database supports other users in 2010. Users can also download the entire 2010 deployment tracking database through the website

459

Statistical criteria for characterizing irradiance time series.  

SciTech Connect (OSTI)

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

460

Statistical semantic processing using Markov logic   

E-Print Network [OSTI]

Markov Logic (ML) is a novel approach to Natural Language Processing tasks [Richardson and Domingos, 2006; Riedel, 2008]. It is a Statistical Relational Learning language based on First Order Logic (FOL) and Markov ...

Meza-Ruiz, Ivan Vladimir

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "test statistical inferences" 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

Generalized binomial distribution in photon statistics  

E-Print Network [OSTI]

The photon-number distribution between two parts of a given volume is found for an arbitrary photon statistics. This problem is related to the interaction of a light beam with a macroscopic device, for example a diaphragm, that separates the photon flux into two parts with known probabilities. To solve this problem, a Generalized Binomial Distribution (GBD) is derived that is applicable to an arbitrary photon statistics satisfying probability convolution equations. It is shown that if photons obey Poisson statistics then the GBD is reduced to the ordinary binomial distribution, whereas in the case of Bose-Einstein statistics the GBD is reduced to the Polya distribution. In this case, the photon spatial distribution depends on the phase-space volume occupied by the photons. This result involves a photon bunching effect, or collective behavior of photons that sharply differs from the behavior of classical particles. It is shown that the photon bunching effect looks similar to the quantum interference effect.

Aleksey Ilyin

2014-11-20T23:59:59.000Z

462

Statistical models for natural scene data   

E-Print Network [OSTI]

This thesis considers statistical modelling of natural image data. Obtaining advances in this field can have significant impact for both engineering applications, and for the understanding of the human visual system. Several recent advances...

Kivinen, Jyri Juhani

2014-06-27T23:59:59.000Z

463

FISHERY STATISTICS OF THE UNITED STATES  

E-Print Network [OSTI]

Frozen Fish Trade __---_-- - 40 Fish Frozen ^0 Holdings '^'^ Cold-storage Holdings of Cured Fish ^-V maximum yields without depletion. Previous statistical reports on the fishery industries were issued under

464

FISHERY STATISTICS QF THE UNITED STATES  

E-Print Network [OSTI]

43 Cold-storage Holdings of Cured Fish 46 Foreign Fishery -Trade 47 Exports 48 Imports 49 Fisheries depletion. Previous statistical reports on the fishery industries issued under the Department

465

Kansas Statistical Abstract 2007 (42nd Edition)  

E-Print Network [OSTI]

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

Policy Research Institute

2008-10-21T23:59:59.000Z

466

Kansas Statistical Abstract 2008 (43rd Edition)  

E-Print Network [OSTI]

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

Policy Research Institute

2009-09-21T23:59:59.000Z

467

Kansas Statistical Abstract 2009 (44th Edition)  

E-Print Network [OSTI]

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

Policy Research Institute

2011-03-02T23:59:59.000Z

468

SAR Imagery Segmentation by Statistical Region Growing and Hierarchical Merging  

SciTech Connect (OSTI)

This paper presents an approach to accomplish synthetic aperture radar (SAR) image segmentation, which are corrupted by speckle noise. Some ordinary segmentation techniques may require speckle filtering previously. Our approach performs radar image segmentation using the original noisy pixels as input data, eliminating preprocessing steps, an advantage over most of the current methods. The algorithm comprises a statistical region growing procedure combined with hierarchical region merging to extract regions of interest from SAR images. The region growing step over-segments the input image to enable region aggregation by employing a combination of the Kolmogorov-Smirnov (KS) test with a hierarchical stepwise optimization (HSWO) algorithm for the process coordination. We have tested and assessed the proposed technique on artificially speckled image and real SAR data containing different types of targets.

Ushizima, Daniela Mayumi; Carvalho, E.A.; Medeiros, F.N.S.; Martins, C.I.O.; Marques, R.C.P.; Oliveira, I.N.S.

2010-05-22T23:59:59.000Z

469

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOL. 6, NO. 2, APRIL 2002 105 Partial Abductive Inference in Bayesian Belief  

E-Print Network [OSTI]

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOL. 6, NO. 2, APRIL 2002 105 Partial Abductive-Specific Genetic Operators Luis M. de Campos, José A. Gámez, and Serafín Moral Abstract--Abductive inference, this problem is called partial abductive inference. Both problems are NP-hard and so exact computation

de Campos, Luis M.

470

Robust textual inference via learning and abductive reasoning Rajat Raina, Andrew Y. Ng and Christopher D. Manning  

E-Print Network [OSTI]

Robust textual inference via learning and abductive reasoning Rajat Raina, Andrew Y. Ng to the one used by (Harabagiu et al., 2000). An abductive theorem prover then tries to find the minimum. In this paper, we present an abductive inference algorithm to perform semantic reasoning. More precisely

Ng, Andrew Y.

471

Statistical Properties of Quantum Graph Spectra  

E-Print Network [OSTI]

A general analytical approach to the statistical description of quantum graph spectra based on the exact periodic orbit expansions of quantum levels is discussed. The exact and approximate expressions obtained in \\cite{Anima} for the probability distribution functions using the spectral hierarchy method are analyzed. In addition, the mechanism of appearance of the universal statistical properties of spectral fluctuations of quantum-chaotic systems is considered in terms of the semiclassical theory of periodic orbits.

Yu. Dabaghian

2006-08-09T23:59:59.000Z

472

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

473

Statistical Analysis of CCD Data: Error Analysis/Noise Theorem  

E-Print Network [OSTI]

Statistical Analysis of CCD Data: Error Analysis/Noise Theorem Why Statistical Approach? Systematic Errors Random Errors (= Statistical Errors) Accuracy and Precision Best Estimator: Mean, Median Distribution Statistical CCD Data Analysis #12;Why do we need statistical analysis? (= Why do we need to worry

Peletier, Reynier

474

Statistical Energy Analysis and the second principle of thermodynamics  

E-Print Network [OSTI]

Statistical Energy Analysis and the second principle of thermodynamics Alain Le Bot Abstract Statistical Energy Analysis is a statistical method in vibroacoustics en- tirely based on the application discussed. 1 Introduction Statistical Energy Analysis [1, 2] is born from the application of statistical

Paris-Sud XI, Université de

475

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

476

Unit Testing of Energy Consumption of Software Libraries Adel Noureddine1,2  

E-Print Network [OSTI]

Unit Testing of Energy Consumption of Software Libraries Adel Noureddine1,2 , Romain Rouvoy1. In this paper, we therefore introduce JalenUnit, a software framework that infers the energy consumption model, and comparing software libraries against their energy consumption. Categories and Subject Descriptors D.2

Boyer, Edmond

477

Prototype to Test WHY prototype to test  

E-Print Network [OSTI]

Prototype to Test METHOD WHY prototype to test HOW to prototype to test Prototyping to test or design space. The fundamental way you test your prototypes is by letting users experience them and react to them. In creating prototypes to test with users you have the opportunity to examine your solution

Prinz, Friedrich B.

478

Statistical Method for the Determination of the Ignition Energy of Dust Cloud-Experimental Validation  

E-Print Network [OSTI]

of preventive safeguard to control the plants safety. The mitigation of an explosion hazard, according, using the Langlie test, for the quick determination of the explosion sensitivity of dusts. This methodStatistical Method for the Determination of the Ignition Energy of Dust Cloud- Experimental

Paris-Sud XI, Université de

479

Statistical Approach to Radioactive Target Detection and Location via Wireless Sensor Networks  

E-Print Network [OSTI]

: tlzhang@purdue.edu Fax: 1-765-4940558 AbstractThe detection of materials or devices for nuclear or radiological weapons of mass destruction is fundamentally important to national safety and security of radioactive target via wireless sensor networks. The statistical approach includes a hypotheses test

Zhang, Tonglin

480

Stochastically Lighting Up Galaxies: Statistical Implications of Stellar Clustering  

E-Print Network [OSTI]

SANTA CRUZ STOCHASTICALLY LIGHTING UP GALAXIES: STATISTICAL2 SLUG - Stochastically Lighting Up Galaxies: Methods andx Abstract Stochastically Lighting Up Galaxies: Statistical

da Silva, Robert Louis

2014-01-01T23:59:59.000Z

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481

applying statistical methods: Topics by E-print Network  

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

Methods II Spring 2012 Department of Applied Mathematics and Statistics, CSM Syllabus Fossil Fuels Websites Summary: MATH 531: Statistical Methods II Spring 2012...

482

In Search of a Statistically Valid Volatility Risk Factor  

E-Print Network [OSTI]

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

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

2013-01-01T23:59:59.000Z

483

assessment statistical power: Topics by E-print Network  

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

of Statistical Downscaling of GCM Projections Materials Science Websites Summary: Assessment of Statistical Downscaling of GCM Projections for Water Resource Applications...

484

Statistical Design, Analysis and Graphics for the Guadalupe  

E-Print Network [OSTI]

Statistical Design, Analysis and Graphics for the Guadalupe River Assessment Technical Memoranda Science Center (2013). Statistical Design, Analysis and Graphics for the Guadalupe River Assessment

485

Tennessee Energy Statistics Quarterly. Second quarter 1984  

SciTech Connect (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. The Tennessee Energy Statistics Quarterly has been developed by the Tennessee Energy Data Base Program to serve as a supplement to the Energy Division publication - The Tennessee Energy Profiles: 1960-1980. Historical data reported in this volume cover the production and utilization of major energy supplies by fuel type and economic sectors, as well as other energy data such as prices and fuel distribution. 12 figures, 12 tables.

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

1985-01-01T23:59:59.000Z

486

August 12, 2010 11:8 Journal of Applied Statistics Draft.5 Journal of Applied Statistics  

E-Print Network [OSTI]

August 12, 2010 11:8 Journal of Applied Statistics Draft.5 Journal of Applied Statistics Vol. 00 of Victoria, PO Box 3060, Victoria, B.C., Canada V8W 3R4; (July, 2009) A new parametric (3-parameter) survival Taylor & Francis DOI: 10.1080/0266476YYxxxxxxxx http://www.informaworld.com #12;August 12, 2010 11

Reed, W.J.

487

Astrophysical Thermonuclear Functions for Boltzmann-Gibbs Statistics and Tsallis Statistics  

E-Print Network [OSTI]

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

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

2004-06-22T23:59:59.000Z

488

Statistical data of the uranium industry  

SciTech Connect (OSTI)

Statistical Data of the Uranium Industry is a compendium of information relating to US uranium reserves and potential resources and to exploration, mining, milling, and other activities of the uranium industry through 1981. The statistics are based primarily on data provided voluntarily by the uranium exploration, mining, and milling companies. The compendium has been published annually since 1968 and reflects the basic programs of the Grand Junction Area Office (GJAO) of the US Department of Energy. The production, reserves, and drilling information is reported in a manner which avoids disclosure of proprietary information.

none,

1982-01-01T23:59:59.000Z

489

A new method for multinomial inference using Dempster-Shafer theory  

SciTech Connect (OSTI)

A new method for multinomial inference is proposed by representing the cell probabilities as unordered segments on the unit interval and following Dempster-Shafer (DS) theory. The resulting DS posterior is then strengthened to improve symmetry and learning properties with the final posterior model being characterized by a Dirichlet distribution. In addition to computational simplicity, the new model has desirable invariance properties related to category permutations, refinements, and coarsenings. Furthemore, posterior inference on relative probabilities amongst certain cells depends only on data for the cells in question. Finally, the model is quite flexible with regard to parameterization and the range of testable assertions. Comparisons are made to existing methods and illustrated with two examples.

Lawrence, Earl Christopher [Los Alamos National Laboratory; Vander Wiel, Scott [Los Alamos National Laboratory; Liu, Chuanhai [PURDUE UNIV; Zhang, Jianchun [PURDUE UNIV

2009-01-01T23:59:59.000Z

490

Approximate inference on planar graphs using loop calculus and belief progagation  

SciTech Connect (OSTI)

We introduce novel results for approximate inference on planar graphical models using the loop calculus framework. The loop calculus (Chertkov and Chernyak, 2006b) allows to express the exact partition function Z of a graphical model as a finite sum of terms that can be evaluated once the belief propagation (BP) solution is known. In general, full summation over all correction terms is intractable. We develop an algorithm for the approach presented in Chertkov et al. (2008) which represents an efficient truncation scheme on planar graphs and a new representation of the series in terms of Pfaffians of matrices. We analyze in detail both the loop series and the Pfaffian series for models with binary variables and pairwise interactions, and show that the first term of the Pfaffian series can provide very accurate approximations. The algorithm outperforms previous truncation schemes of the loop series and is competitive with other state-of-the-art methods for approximate inference.

Chertkov, Michael [Los Alamos National Laboratory; Gomez, Vicenc [RADBOUD UNIV; Kappen, Hilbert [RADBOUD UNIV

2009-01-01T23:59:59.000Z

491

Montblanc: GPU accelerated Radio Interferometer Measurement Equations in support of Bayesian Inference for Radio Observations  

E-Print Network [OSTI]

We present Montblanc, a GPU implementation of the Radio interferometer measurement equation (RIME) in support of the Bayesian inference for radio observations (BIRO) technique. BIRO uses Bayesian inference to select sky models that best match the visibilities observed by a radio interferometer. To accomplish this, BIRO evaluates the RIME multiple times, varying sky model parameters to produce multiple model visibilities. Chi-squared values computed from the model and observed visibilities are used as likelihood values to drive the Bayesian sampling process and select the best sky model. As most of the elements of the RIME and chi-squared calculation are independent of one another, they are highly amenable to parallel computation. Additionally, Montblanc caters for iterative RIME evaluation to produce multiple chi-squared values. Only modified model parameters are transferred to the GPU between each iteration. We implemented Montblanc as a Python package based upon NVIDIA's CUDA architecture. As such, it is ea...

Perkins, Simon; Zwart, Jonathan; Natarajan, Iniyan; Smirnov, Oleg

2015-01-01T23:59:59.000Z

492

Training Hybrid Neuro-Fuzzy System to Infer Permeability in Wells on Maracaibo Lake, Venezuela  

E-Print Network [OSTI]

The high accuracy on inferrring of rocks properties, such as permeability ($k$), is a very useful study in the analysis of wells. This has led to development and use of empirical equations like Tixier, Timur, among others. In order to improve the inference of permeability we used a hybrid Neuro-Fuzzy System (NFS). The NFS allowed us to infer permeability of well, from data of porosity ($\\phi$) and water saturation ($Sw$). The work was performed with data from wells VCL-1021 (P21) and VCL-950 (P50), Block III, Maracaibo Lake, Venezuela. We evaluated the NFS equations ($k_{P50,i}(\\phi_i,Sw_i)$) with neighboring well data ($P21$), in order to verify the validity of the equations in the area. We have used ANFIS in MatLab.

Hurtado, Nuri; Torres, Julio

2014-01-01T23:59:59.000Z

493

Inferring interwell connectivity from injection and production data using frequency domain analysis  

E-Print Network [OSTI]

INFERRING INTERWELL CONNECTIVITY FROM INJECTION AND PRODUCTION DATA USING FREQUENCY DOMAIN ANALYSIS A Thesis by AYSE NAZLI DEMIROREN Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment... DEMIROREN Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Approved by: Chair of Committee, Jerry L. Jensen Committee Members...

Demiroren, Ayse Nazli

2007-09-17T23:59:59.000Z

494

Detecting weaks signals with record statistics  

E-Print Network [OSTI]

Counting the number of local extrema of the cumulative sum of data points yields the R-test, a new single-sample non-parametric test. Numeric simulations indicate that the R-test is more powerful than Student's t-test for semi-heavy and heavy-tailed distributions, equivalent for Gaussian variables and slightly worse for uniformly distributed variables. Finally the R-test has a greater power than the single-sample Wilcoxon signed-rank test in most cases.

Challet, Damien

2015-01-01T23:59:59.000Z

495

MECHANICAL TEST LAB CAPABILITIES  

E-Print Network [OSTI]

MECHANICAL TEST LAB CAPABILITIES · Static and cyclic testing (ASTM and non-standard) · Impact drop testing · Slow-cycle fatigue testing · High temperature testing to 2500°F · ASTM/ Boeing/ SACMA standard testing · Ability to design and fabricate non-standard test fixtures and perform non-standard tests

496

Accelerated Testing Validation  

E-Print Network [OSTI]

the University of California. Accelerated Testing Validationmaterials requires relevant Accelerated Stress Tests (ASTs),

Mukundan, Rangachary

2013-01-01T23:59:59.000Z

497

Test Preparation Options Free Test Prep Websites  

E-Print Network [OSTI]

Test Preparation Options Free Test Prep Websites ACT: http: http://www.collegeboard.com/student/testing/sat/prep_one/test.html http://www.number2.com://testprep.princetonreview.com/CourseSearch/Search.aspx?itemCode=17&productType=F&rid=1&zip=803 02 Test Prep Classes Front Range Community College: Classes

Stowell, Michael

498

Test and Test Equipment Joshua Lottich  

E-Print Network [OSTI]

Test and Test Equipment Joshua Lottich CMPE 640 11/23/05 #12;Testing Verifies that manufactured chip meets design specifications. Cannot test for every potential defect. Modeling defects as faults allows for passing and failing of chips. Ideal test would capture all defects and pass only chips

Patel, Chintan

499

Orion Flight Test Exploration Flight Test-1  

E-Print Network [OSTI]

Orion Flight Test Exploration Flight Test-1 PRESS KIT/December 2014 www.nasa.gov NP-2014-11-020-JSC National Aeronautics and Space Administration #12;#12;Orion Flight Test December 2014 Contents Section Page ........................................................................................... 28 i #12;Orion Flight Test ii December 2014 #12;Orion Flight Test December 2014 Flight Overview

Waliser, Duane E.

500

The University of Chicago Department of Statistics  

E-Print Network [OSTI]

and Statistics The University of Chicago GARCH Local Approximation for Non-stationary Financial Data Through 1958 in practice. In this paper, I show that for certain time periods when market is unstable, GARCH model mean square error between locally approximated short- term (ST) GARCH models and long-term (LT) GARCH

Stephens, Matthew