Sample records for renewables statistical statistics

  1. STATISTICAL METHODS STATISTICAL METHODS

    E-Print Network [OSTI]

    Delorme, Arnaud

    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

  2. Statistics Overall Statistics

    E-Print Network [OSTI]

    Czarnecki, Krzysztof

    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

  3. Global Statistics

    E-Print Network [OSTI]

    Crow, Ben D

    2006-01-01T23:59:59.000Z

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

  4. 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...

  5. 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

  6. Statistical identification

    E-Print Network [OSTI]

    Jackson, Philip JB

    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

  7. Statistical identification

    E-Print Network [OSTI]

    Jackson, Philip JB

    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

  8. 32. Statistics 1 32. STATISTICS

    E-Print Network [OSTI]

    Masci, Frank

    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

  9. Term statistics Zipf's law text statistics

    E-Print Network [OSTI]

    Lu, Jianguo

    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

  10. Rainbow statistics

    E-Print Network [OSTI]

    Michele Arzano; Dario Benedetti

    2008-09-04T23:59:59.000Z

    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.

  11. Engineering Statistics From "Engineering Statistics" , Top &

    E-Print Network [OSTI]

    Kovintavewat, Piya

    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

  12. Statistics and the Sciences

    E-Print Network [OSTI]

    Jan de Leeuw

    2011-01-01T23:59:59.000Z

    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

  13. Spike statistics

    E-Print Network [OSTI]

    J. Mark Heinzle; Claes Uggla

    2012-12-21T23:59:59.000Z

    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.

  14. 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

  15. 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

  16. Introduction Statistical Tests

    E-Print Network [OSTI]

    Liu, Huan

    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

  17. 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

  18. 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

  19. 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

  20. 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

  1. Department of Statistical Science

    E-Print Network [OSTI]

    Keinan, Alon

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

  2. METROPOLITAN STATISTICAL AREA

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    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

  3. Interpreting Accident Statistics

    E-Print Network [OSTI]

    Ferreira, Joseph Jr.

    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 ...

  4. Statistics Statistique Canada Canada

    E-Print Network [OSTI]

    Sinnamon, Gordon J.

    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

  5. Statistical Parsing Inside Algorithm

    E-Print Network [OSTI]

    Ageno, Alicia

    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

  6. STATISTICAL DESCRIPTION OF THE

    E-Print Network [OSTI]

    Karney, Charles

    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

  7. POSITION OPENING APPLIED STATISTICS

    E-Print Network [OSTI]

    Shepp, Larry

    : 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

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

    E-Print Network [OSTI]

    Edinburgh, University of

    ------------------------------------------------------------------------------- Statistical Scientist / Senior Statistical Scientist £26,610 Biomathematics & Statistics Scotland (BioSS) statistically minded, individual to help address the range of statistical, bioinformatics and modelling problems

  9. Statistical Convergence and Convergence in Statistics

    E-Print Network [OSTI]

    Mark Burgin; Oktay Duman

    2006-12-07T23:59:59.000Z

    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.

  10. Statistics and the Modern Student

    E-Print Network [OSTI]

    Robert Gould

    2011-01-01T23:59:59.000Z

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

  11. Statistics and the Modern Student

    E-Print Network [OSTI]

    Gould, Robert

    2010-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Olsen Jr., Dan R.

    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

  13. 1 Statistics Statistics plays an important role throughout society, providing

    E-Print Network [OSTI]

    Vertes, Akos

    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

  14. Part I STATISTICAL PHYSICS 1 Statistical Physics

    E-Print Network [OSTI]

    unknown authors

    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 IIVI. 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

  15. Part I STATISTICAL PHYSICS 1 Statistical Physics

    E-Print Network [OSTI]

    unknown authors

    2004-01-01T23:59:59.000Z

    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 IIVI. 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

  16. Part I STATISTICAL PHYSICS 1 Statistical Physics

    E-Print Network [OSTI]

    unknown authors

    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 IIVI. 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

  17. Statistical Hadronization and Holography

    E-Print Network [OSTI]

    Jacopo Bechi

    2009-12-17T23:59:59.000Z

    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.

  18. Statistics: Part 1 1. Why bother with statistics?

    E-Print Network [OSTI]

    Francis, Paul

    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

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

    E-Print Network [OSTI]

    Fienberg, Stephen E.

    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

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

    E-Print Network [OSTI]

    Smyth, Gordon K.

    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

  1. 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

  2. Statistical Mechanics with focus on

    E-Print Network [OSTI]

    Johannesson, Henrik

    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

  3. School of Mathematics and Statistics

    E-Print Network [OSTI]

    Du, Jie

    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

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

    E-Print Network [OSTI]

    Brown, Gregory G.

    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

  5. Statistics applied to safeguards

    SciTech Connect (OSTI)

    Picard, R.R.

    1993-05-01T23:59:59.000Z

    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.

  6. Statistics applied to safeguards

    SciTech Connect (OSTI)

    Picard, R.R.

    1993-01-01T23:59:59.000Z

    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.

  7. 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

  8. Statistics and samples 1.1 What is statistics?

    E-Print Network [OSTI]

    Irwin, Darren

    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

  9. Statistics and Differential Geometry 18-466 Mathematical Statistics

    E-Print Network [OSTI]

    Le Ny, Jerome

    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

  10. Statistical Learning Theory of Protein Dynamics

    E-Print Network [OSTI]

    Haas, Kevin

    2013-01-01T23:59:59.000Z

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

  11. Indicators: Performance Statistics

    E-Print Network [OSTI]

    Webb, Peter

    % 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

  12. General Indicators: Performance Statistics

    E-Print Network [OSTI]

    Webb, Peter

    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

  13. General Indicators: Performance Statistics

    E-Print Network [OSTI]

    Webb, Peter

    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

  14. General Indicators: Performance Statistics

    E-Print Network [OSTI]

    Webb, Peter

    . 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

  15. MATHEMATICS AND STATISTICS

    E-Print Network [OSTI]

    Banaji,. Murad

    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

  16. 1979 DOE statistical symposium

    SciTech Connect (OSTI)

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

    1980-09-01T23:59:59.000Z

    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.

  17. 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

  18. 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

  19. Statistical simulation procedures

    E-Print Network [OSTI]

    Tremelling, Robert Norman

    2012-06-07T23:59:59.000Z

    . 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...

  20. Homotopy in statistical physics

    E-Print Network [OSTI]

    Ralph Kenna

    2006-04-12T23:59:59.000Z

    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.

  1. International petroleum statistics report

    SciTech Connect (OSTI)

    NONE

    1995-10-01T23:59:59.000Z

    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.

  2. 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

  3. 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

  4. 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

  5. STATISTICS ESSENTIAL SKILL OUTCOME STATEMENTS

    E-Print Network [OSTI]

    Gering, Jon C.

    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

  6. Statistical Ensembles with Volume Fluctuations

    E-Print Network [OSTI]

    Mark I. Gorenstein

    2008-06-17T23:59:59.000Z

    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.

  7. Statistical Explanation WESLEY C. SALMON

    E-Print Network [OSTI]

    Fitelson, Branden

    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

  8. International petroleum statistics report

    SciTech Connect (OSTI)

    NONE

    1997-05-01T23:59:59.000Z

    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.

  9. Statistical Moments - Spring/Summer 2007

    E-Print Network [OSTI]

    UCLA Department of Statistics

    2007-01-01T23:59:59.000Z

    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

  10. Statistical Moments - Spring/Summer 2008

    E-Print Network [OSTI]

    UCLA Department of Statistics

    2008-01-01T23:59:59.000Z

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

  11. Statistics Online Computational Resource for Education

    E-Print Network [OSTI]

    Dinov, Ivo D; Christou, Nicolas

    2009-01-01T23:59:59.000Z

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

  12. International petroleum statistics report

    SciTech Connect (OSTI)

    NONE

    1995-11-01T23:59:59.000Z

    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.

  13. International petroleum statistics report

    SciTech Connect (OSTI)

    NONE

    1996-05-01T23:59:59.000Z

    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.

  14. International petroleum statistics report

    SciTech Connect (OSTI)

    NONE

    1997-07-01T23:59:59.000Z

    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.

  15. International petroleum statistics report

    SciTech Connect (OSTI)

    NONE

    1996-10-01T23:59:59.000Z

    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.

  16. Statistics as a dynamical attractor

    E-Print Network [OSTI]

    Michail Zak

    2012-08-30T23:59:59.000Z

    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.

  17. Algebraic Statistics methods Giovanni Pistone

    E-Print Network [OSTI]

    Ceragioli, Francesca

    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

  18. 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...

  19. 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...

  20. SDI: Statistical dynamic interactions

    SciTech Connect (OSTI)

    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

    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.

  1. Building statistical models by visualization

    E-Print Network [OSTI]

    Minka,Tom

    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

  2. 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

  3. Key China Energy Statistics 2012

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

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

  4. Probability, Statistics, and Stochastic Processes

    E-Print Network [OSTI]

    Olofsson, Peter

    , 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

  5. Practical Statistics for the LHC

    E-Print Network [OSTI]

    Cranmer, Kyle

    2015-01-01T23:59:59.000Z

    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.

  6. Statistics in Practice Forensic Science

    E-Print Network [OSTI]

    Lucy, David

    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

  7. Curvature independence of statistical entropy

    E-Print Network [OSTI]

    Judy Kupferman

    2014-07-20T23:59:59.000Z

    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.

  8. Statistical Mechanics of Amplifying Apparatus

    E-Print Network [OSTI]

    Joseph Johnson

    2005-02-08T23:59:59.000Z

    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.

  9. Statistics in Linguistics Tutorial Just a sip. . .

    E-Print Network [OSTI]

    Fong, Sandiway

    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

  10. Statistically Equivalent Representative Volume Elements for Unidirectional

    E-Print Network [OSTI]

    Ghosh, Somnath

    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

  11. Statistical Moments - Winter/Spring 2006

    E-Print Network [OSTI]

    UCLA Department of Statistics

    2006-01-01T23:59:59.000Z

    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,

  12. 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]

    Zhang, Li-Xin

    §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

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

    E-Print Network [OSTI]

    Olsen Jr., Dan R.

    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

  14. statistical planning Journal of Statistical Planning and and inference

    E-Print Network [OSTI]

    Lin, Danyu

    -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

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

    E-Print Network [OSTI]

    McLachlan, Geoff

    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

  16. Some statistics of Galactic SNRs

    E-Print Network [OSTI]

    D. A. Green

    2005-05-20T23:59:59.000Z

    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.

  17. On Statistical Aspects of Qjets

    E-Print Network [OSTI]

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

    2014-12-05T23:59:59.000Z

    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.

  18. Statistics Colloquium Dr. Noel Cadigan

    E-Print Network [OSTI]

    Oyet, Alwell

    :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

  19. 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

  20. STATISTICS AND PHILOSOPHY OF PROBABILITY

    E-Print Network [OSTI]

    Burdzy, Krzysztof "Chris"

    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

  1. Non-statistical Weak Measurements

    E-Print Network [OSTI]

    Jeff Tollaksen; Yakir Aharonov

    2006-07-28T23:59:59.000Z

    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.

  2. Statistical Assistant Research Data Centre, Queens University

    E-Print Network [OSTI]

    Graham, Nick

    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

  3. Statistical Seismology DAVID VERE-JONES,1

    E-Print Network [OSTI]

    Ben-Zion, Yehuda

    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

  4. Introduction to statistical models and non-extensive statistics

    E-Print Network [OSTI]

    T. S. Biro

    2005-07-27T23:59:59.000Z

    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.

  5. Pricing statistics sourcebook. 5. edition

    SciTech Connect (OSTI)

    NONE

    1999-11-01T23:59:59.000Z

    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.

  6. Parallel contingency statistics with Titan.

    SciTech Connect (OSTI)

    Thompson, David C.; Pebay, Philippe Pierre

    2009-09-01T23:59:59.000Z

    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.

  7. Parallel auto-correlative statistics with VTK.

    SciTech Connect (OSTI)

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

    2013-08-01T23:59:59.000Z

    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.

  8. The Role of Technology in Improving Student Learning of Statistics

    E-Print Network [OSTI]

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

    2007-01-01T23:59:59.000Z

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

  9. Seismic Attribute Analysis Using Higher Order Statistics

    E-Print Network [OSTI]

    Greenidge, Janelle Candice

    2009-05-15T23:59:59.000Z

    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...

  10. Kansas Statistical Abstract 2005 (40th Edition)

    E-Print Network [OSTI]

    Policy Research Institute

    2008-10-21T23:59:59.000Z

    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, ...

  11. Kansas Statistical Abstract 2001 (36th Edition)

    E-Print Network [OSTI]

    2002-12-01T23:59:59.000Z

    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, ...

  12. Kansas Statistical Abstract 2004 (39th Edition)

    E-Print Network [OSTI]

    Policy Research Institute

    2006-01-31T23:59:59.000Z

    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, ...

  13. Kansas Statistical Abstract 2003 (38th Edition)

    E-Print Network [OSTI]

    Policy Research Institute

    2004-09-01T23:59:59.000Z

    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, ...

  14. Kansas Statistical Abstract 2012 (47th Edition)

    E-Print Network [OSTI]

    Institute for Policy & Social Research

    2014-05-27T23:59:59.000Z

    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, ...

  15. Kansas Statistical Abstract 2002 (37th Edition)

    E-Print Network [OSTI]

    2003-09-01T23:59:59.000Z

    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, ...

  16. |Research Focus Statistical decision theory and evolution

    E-Print Network [OSTI]

    Maloney, Laurence T.

    |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

  17. Stratigraphic statistical curvature analysis techniques

    SciTech Connect (OSTI)

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

    1987-05-01T23:59:59.000Z

    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.

  18. Transportation Statistics Annual Report 1997

    SciTech Connect (OSTI)

    Fenn, M.

    1997-01-01T23:59:59.000Z

    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 systemits 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 systems performance from the users perspective. In what ways and to what extent does the geographic freedom provided by transportation enhance personal fulfillment of the nations 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 peoples 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?

  19. The Statistics of Crumpled Paper

    E-Print Network [OSTI]

    Eric Sultan; Arezki Boudaoud

    2005-09-06T23:59:59.000Z

    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.

  20. On statistics of molecular chaos

    E-Print Network [OSTI]

    Yuriy Kuzovlev

    2009-11-03T23:59:59.000Z

    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.

  1. Nonstationary statistical theory for multipactor

    SciTech Connect (OSTI)

    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

    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.

  2. 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

  3. Electric field statistics in MHD turbulence

    E-Print Network [OSTI]

    Low, Robert

    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

  4. Writing statistics project reports October 8, 2001

    E-Print Network [OSTI]

    Painter, Kevin

    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

  5. Statistical Physics of RNA folding Ralf Bundschuh

    E-Print Network [OSTI]

    Bundschuh, Ralf

    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

  6. Evaluating statistic appropriateness for Bayesian model choice

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    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

  7. Statistical mechanics and ocean circulation Rick Salmon

    E-Print Network [OSTI]

    Salmon, Rick

    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

  8. STATISTICS COLLOQUIUM MONDAY, SEPTEMBER 12, 2011

    E-Print Network [OSTI]

    Schrag, Daniel

    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

  9. 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

  10. Statistics and Causal Inference PAUL W. HOLLAND*

    E-Print Network [OSTI]

    Fitelson, Branden

    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

  11. Statistics Department University of California, Berkeley

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    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

  12. STATISTICS COLLOQUIUM MONDAY, MARCH 24, 2014

    E-Print Network [OSTI]

    Schrag, Daniel

    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

  13. Statistics beyond Physics -Misused in Public ?

    E-Print Network [OSTI]

    Kobe, Sigismund

    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

  14. Department of Statistics University of California, Berkeley

    E-Print Network [OSTI]

    El Karoui, Noureddine

    .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

  15. 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

  16. Accuracy and reliability of China's energy statistics

    SciTech Connect (OSTI)

    Sinton, Jonathan E.

    2001-09-14T23:59:59.000Z

    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.

  17. STATISTICS and PROBABILITY Statistics is the science and practice of developing

    E-Print Network [OSTI]

    Bolch, Tobias

    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

  18. 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

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

    E-Print Network [OSTI]

    Ravikumar, B.

    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

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

    E-Print Network [OSTI]

    Ravikumar, B.

    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

  1. Key China Energy Statistics 2012

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    of China's Total Primary Energy Production by Source (1950-AAGR EJ Primary Energy Production (Mtce) Coal Oil NaturalRenewables Total Primary Energy Production by Source Shares*

  2. Statistical Mechanics of Resource Allocation

    E-Print Network [OSTI]

    Inoue, Jun-ichi

    2014-01-01T23:59:59.000Z

    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.

  3. 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...

  4. Key China Energy Statistics 2012

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    contract price for power generation Coal market price forPrice and Coal Market Price for Power Generation RMB (Coal Oil Natural Gas Hydro Nuclear Wind Other Renewables Primary Electricity Generation

  5. Statistical assessment of Monte Carlo distributional tallies

    SciTech Connect (OSTI)

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

    2010-12-09T23:59:59.000Z

    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.

  6. Statistical Mechanics and Quantum Cosmology

    E-Print Network [OSTI]

    B. L. Hu

    1995-11-29T23:59:59.000Z

    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.

  7. 18.441 Statistical Inference, Spring 2002

    E-Print Network [OSTI]

    Hardy, Michael

    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 ...

  8. Essays on microeconomics and statistical decision making

    E-Print Network [OSTI]

    Nieto Barthaburu, Augusto

    2006-01-01T23:59:59.000Z

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

  9. 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...

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

    E-Print Network [OSTI]

    Hitchcock, Adam P.

    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

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

    E-Print Network [OSTI]

    Olsen Jr., Dan R.

    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

  12. Taught Postgraduate programmes in the School of Mathematics and Statistics

    E-Print Network [OSTI]

    Guo, Zaoyang

    , 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

  13. 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

  14. 8.334 Statistical Mechanics II: Statistical Mechanics of Fields, Spring 2004

    E-Print Network [OSTI]

    Kardar, Mehran

    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, ...

  15. QUEEN'S UNIVERSITY STAT 367: Engineering Statistics

    E-Print Network [OSTI]

    Offin, Dan

    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

  16. Statistical Review of California's Organic Agriculture

    E-Print Network [OSTI]

    Ferrara, Katherine W.

    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

  17. Statistical Model Computation with UDFs Carlos Ordonez

    E-Print Network [OSTI]

    Ordonez, Carlos

    , 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

  18. 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

  19. 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

  20. Scientific Data Analysis via Statistical Learning

    E-Print Network [OSTI]

    Geddes, Cameron Guy Robinson

    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

  1. Bureau of Justice Statistics Program Report

    E-Print Network [OSTI]

    Hemmers, Oliver

    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

  2. Inga Maslova Department of Mathematics and Statistics

    E-Print Network [OSTI]

    Lansky, Joshua

    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

  3. Mathematics and Statistics College of Engineering

    E-Print Network [OSTI]

    Hickman, Mark

    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

  4. 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

  5. Statistical Analysis of EXTREMES in GEOPHYSICS

    E-Print Network [OSTI]

    Gilleland, Eric

    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

  6. The Statistical Physics of Athermal Materials

    E-Print Network [OSTI]

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

    2014-04-07T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Berlin,Technische Universität

    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

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

    E-Print Network [OSTI]

    Kozubowski, Tomasz J.

    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

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

    E-Print Network [OSTI]

    Kozubowski, Tomasz J.

    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

  10. Topology for statistical modeling of petascale data.

    SciTech Connect (OSTI)

    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

    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.

  11. Scalable k-means statistics with Titan.

    SciTech Connect (OSTI)

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

    2009-11-01T23:59:59.000Z

    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.

  12. Statistical regimes of random laser fluctuations

    SciTech Connect (OSTI)

    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

    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.

  13. Statistical Properties of a Quantum Cellular Automaton

    E-Print Network [OSTI]

    Norio Inui; Shuichi Inokuchi; Yoshihiro Mizoguchi; Norio Konno

    2005-06-28T23:59:59.000Z

    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.

  14. Quantum Statistical Processes in the Early Universe

    E-Print Network [OSTI]

    B. L. Hu

    1993-02-22T23:59:59.000Z

    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.

  15. Statistical analysis of correlated fossil fuel securities

    E-Print Network [OSTI]

    Li, Derek Z

    2011-01-01T23:59:59.000Z

    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 ...

  16. ALICIA L. CARRIQUIRY Department of Statistics

    E-Print Network [OSTI]

    Carriquiry, Alicia

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

  17. Structured Language Models for Statistical Machine Translation

    E-Print Network [OSTI]

    Eskenazi, Maxine

    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

  18. STATISTICS 590 STUDENT EXPERIMENTAL DESIGN PROJECT

    E-Print Network [OSTI]

    Buyske, Steve

    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

  19. 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

  20. 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

  1. Statistical criteria for characterizing irradiance time series.

    SciTech Connect (OSTI)

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

    2010-10-01T23:59:59.000Z

    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.

  2. Statistical inference in population genetics using microsatellites

    E-Print Network [OSTI]

    Csillry, Katalin

    2009-01-01T23:59:59.000Z

    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 ...

  3. Statistical semantic processing using Markov logic

    E-Print Network [OSTI]

    Meza-Ruiz, Ivan Vladimir

    2009-01-01T23:59:59.000Z

    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 ...

  4. Generalized binomial distribution in photon statistics

    E-Print Network [OSTI]

    Aleksey Ilyin

    2014-11-20T23:59:59.000Z

    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.

  5. Statistical models for natural scene data

    E-Print Network [OSTI]

    Kivinen, Jyri Juhani

    2014-06-27T23:59:59.000Z

    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...

  6. 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

  7. 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

  8. Kansas Statistical Abstract 2007 (42nd Edition)

    E-Print Network [OSTI]

    Policy Research Institute

    2008-10-21T23:59:59.000Z

    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 ...

  9. Kansas Statistical Abstract 2008 (43rd Edition)

    E-Print Network [OSTI]

    Policy Research Institute

    2009-09-21T23:59:59.000Z

    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 ...

  10. Kansas Statistical Abstract 2009 (44th Edition)

    E-Print Network [OSTI]

    Policy Research Institute

    2011-03-02T23:59:59.000Z

    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 ...

  11. Statistical Properties of Quantum Graph Spectra

    E-Print Network [OSTI]

    Yu. Dabaghian

    2006-08-09T23:59:59.000Z

    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.

  12. Statistical Mechanics of Two-dimensional Foams

    E-Print Network [OSTI]

    Marc Durand

    2010-09-07T23:59:59.000Z

    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.

  13. Statistical properties of chaotic binary sequences

    E-Print Network [OSTI]

    Bogdan Cristea

    2008-05-28T23:59:59.000Z

    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.

  14. This document will help you understand the statistics commonly used to describe wind when it is studied

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Collaborative's Renewable En- ergy Trust Fund, the Renewable Energy Research Laboratory brings you this seriesThis document will help you understand the statistics commonly used to describe wind when Renewable Energy Research Laboratory, University of Massachusetts at Amherst Community Wind Power Fact Sheet

  15. Statistical Analysis of CCD Data: Error Analysis/Noise Theorem

    E-Print Network [OSTI]

    Peletier, Reynier

    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

  16. Statistical Energy Analysis and the second principle of thermodynamics

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    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

  17. Laser photon statistics in the feedback loop

    E-Print Network [OSTI]

    T. Yu. Golubeva; Yu. M. Golubev

    2005-04-23T23:59:59.000Z

    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.

  18. Statistical Behavior and Symmetry Tests G. E. Mitchell

    E-Print Network [OSTI]

    Shriner, John

    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

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

    E-Print Network [OSTI]

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

    2006-11-08T23:59:59.000Z

    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.

  20. Stochastically Lighting Up Galaxies: Statistical Implications of Stellar Clustering

    E-Print Network [OSTI]

    da Silva, Robert Louis

    2014-01-01T23:59:59.000Z

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

  1. 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...

  2. In Search of a Statistically Valid Volatility Risk Factor

    E-Print Network [OSTI]

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

    2013-01-01T23:59:59.000Z

    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.

  3. 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...

  4. 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

  5. Tennessee Energy Statistics Quarterly. Second quarter 1984

    SciTech Connect (OSTI)

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

    1985-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Reed, W.J.

    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

  7. Astrophysical Thermonuclear Functions for Boltzmann-Gibbs Statistics and Tsallis Statistics

    E-Print Network [OSTI]

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

    2004-06-22T23:59:59.000Z

    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.

  8. Statistical data of the uranium industry

    SciTech Connect (OSTI)

    none,

    1982-01-01T23:59:59.000Z

    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.

  9. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    Stephens, Matthew

    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

  10. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    Stephens, Matthew

    stocks from the alleged internet dot-com episode of 1998­2001, where price bubbles were widely thought Department of Statistics Columbia University Detecting Financial Bubbles in Real Time MONDAY, October 31 the 2007 credit crisis, financial bubbles have once again emerged as a topic of current concern. An open

  11. Heat pump market and statistics report 2013

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    #12;Heat pump market and statistics report 2013 Thomas Nowak Secretary General European Heat Pump Summit 15.10./16.10.2013 | Nuremberg #12;European Heat Pump Association (EHPA) · 107 members from 22 countries (status 08/2013) ­ Heat pump manufacturers ­ Component manufacturers ­ National associations

  12. MINI-WORKSHOP ANNOUNCEMENT Department of Statistics

    E-Print Network [OSTI]

    Stephens, Matthew

    MINI-WORKSHOP ANNOUNCEMENT Department of Statistics Space-time Modeling of Air Pollution Levels and deposition values of various air pollutants. We propose a space-time modeling approach for combining CMAQ output with observations to produce an improved map of air pollution levels. Methodologies to evaluate

  13. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    Stephens, Matthew

    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

  14. Computational and statistical tradeoffs via convex relaxation

    E-Print Network [OSTI]

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

  15. Report on Activities And Usage Statistics of

    E-Print Network [OSTI]

    Patzek, Tadeusz W.

    of the Mobile Learning Portal, at mobilelearningportal.org. This Web site is a #12;Learning Technology CenterReport on Activities And Usage Statistics of Learning Technology Center Services and Facilities 2009-2010 #12;Learning Technology Center Review 2009-2010 December 2010 2 Report on Activities

  16. Macdonald, J. Ross SOME STATISTICAL ASPECTS OF

    E-Print Network [OSTI]

    Macdonald, James Ross

    Macdonald, J. Ross 1962 Physica 28 485-492 SOME STATISTICAL ASPECTS OF RELAXATION TIME DISTRIBUTIONS *) by J. ROSS MACDONALD Texas Instruments Incorporated, Dallas, Texas, U.S.A. Synopsis, meeting of the American Physical Society, November 25, 1961, [Macdonald, J. R., Bull. Am. Phys. Sot. Ser

  17. A Statistical Framework for Spatial Comparative Genomics

    E-Print Network [OSTI]

    A Statistical Framework for Spatial Comparative Genomics Rose Hoberman May 2007 CMU-CS-07, or the U.S. Government. #12;Keywords: spatial comparative genomics, comparative genomics, gene clusters, max-gap clusters, gene teams, whole genome duplication, paralogons, synteny, ortholog detection #12

  18. ANOVA and Statistical Models R. A. Bailey

    E-Print Network [OSTI]

    Bailey, R. A.

    ANOVA and Statistical Models R. A. Bailey School of Mathematical Sciences r.a.bailey depends on diet. Model: yield on cow i = KA +i if on diet A KB +i if on diet B KC +i if on diet C where +i if on diet B KC +i if on diet C where 1, ..., 11 are independent (normal) random variables

  19. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    Stephens, Matthew

    of Statistics The University of Chicago The Weekend Effect of Return on Crude Oil Prices THURSDAY, February 26, 2009 at 11:00 AM 110 Eckhart Hall, 5734 S. University Avenue ABSTRACT Crude oil prices experienced movements of WTI crude oil prices can be observed during the period from 1986 to 2008. Spectral analysis

  20. Statistical Ensembles with Fluctuating Extensive Quantities

    E-Print Network [OSTI]

    M. I. Gorenstein; M. Hauer

    2008-01-28T23:59:59.000Z

    We suggest an extension of the standard concept of statistical ensembles. Namely, we introduce a class of ensembles with extensive quantities fluctuating according to an externally given distribution. As an example the influence of energy fluctuations on multiplicity fluctuations in limited segments of momentum space for a classical ultra-relativistic gas is considered.

  1. Statistical Sciences Group, Los Alamos National Laboratory,

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    Luke Bornn CCS-6, Statistical Sciences Group, Los Alamos National Laboratory, MS F600, Los Alamos, NM 87545 Charles R. Farrar1 e-mail: farrar@lanl.gov Gyuhae Park Kevin Farinholt The Engineering Institute, Los Alamos National Laboratory, MS T006, Los Alamos, NM 87545 Structural Health Monitoring

  2. STATISTICAL ANALYSIS OF PROTEIN FOLDING KINETICS

    E-Print Network [OSTI]

    Dinner, Aaron

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

  3. Full Counting Statistics of Stationary Particle Beams

    E-Print Network [OSTI]

    J. Kiukas; A. Ruschhaupt; R. F. Werner

    2011-03-07T23:59:59.000Z

    We present a general scheme for treating particle beams as many particle systems. This includes the full counting statistics and the requirements of Bose/Fermi symmetry. In the stationary limit, i.e., for longer and longer beams, the total particle number diverges, and a description in Fock space is no longer possible. We therefore extend the formalism to include stationary beams. These beams exhibit a well-defined "local" counting statistics, by which we mean the full counting statistics of all clicks falling into any given finite interval. We treat in detail a model of a source, creating particles in a fixed state, which then evolve under the free time evolution, and we determine the resulting stationary beam in the far field. In comparison to the one-particle picture we obtain a correction due to Bose/Fermi statistics, which depends on the emission rate. We also consider plane waves as stationary many particle states, and determine the distribution of intervals between successive clicks in such a beam.

  4. INDIAN STATISTICAL INSTITUTE SQC & OR Unit

    E-Print Network [OSTI]

    Bandyopadhyay, Antar

    INDIAN STATISTICAL INSTITUTE SQC & OR Unit Bangalore Announces Certification Program for SIX SIGMA.isi@gmail.com, sanjitisi@yahoo.co.in #12;EXPECTATION! Six Sigma is like that old Wella Balsam shampoo commercial: `She Magazine, October 1997) Six Sigma initiative has become a rage. Every organization wants to implement Six

  5. INDIAN STATISTICAL INSTITUTE SQC & OR Unit

    E-Print Network [OSTI]

    Bandyopadhyay, Antar

    INDIAN STATISTICAL INSTITUTE SQC & OR Unit Bangalore Announces Certification Program for SIX SIGMA.isi@gmail.com, sanjitisi@yahoo.co.in 6th - 8th, 12th ­ 14th September; 2014 Bangalore #12;EXPECTATION! Six Sigma is like, Dean Witter, Discover & Co. (Report on Business Magazine, October 1997) Six Sigma initiative has

  6. Application for SAS Certificate Advanced Statistics

    E-Print Network [OSTI]

    Dahl, David B.

    # ________________________________________ BYU ID ________________________________________ ________________________________________ Year Stat 535 1.0 Applied Linear Models Stat 536 1.0 Modern Regression Methods Stat 624 2.0 Statistical Computation Stat 641 3.0 Prob Theory & Math Stat 1 Stat 642 3.0 Prob Theory & Math Stat 2 Please bring

  7. Remarks on statistical errors in equivalent widths

    E-Print Network [OSTI]

    Klaus Vollmann; Thomas Eversberg

    2006-07-03T23:59:59.000Z

    Equivalent width measurements for rapid line variability in atomic spectral lines are degraded by increasing error bars with shorter exposure times. We derive an expression for the error of the line equivalent width $\\sigma(W_\\lambda)$ with respect to pure photon noise statistics and provide a correction value for previous calculations.

  8. TRADEOFFS AND LIMITATIONS IN STATISTICALLY BASED IMAGE

    E-Print Network [OSTI]

    Hero, Alfred O.

    Tomography (Compton SPECT) system is derived, and reconstructed images from both simulated and measured data of the projection data using vector quantizers. Asymptotic expressions for the loss in the KullbackTRADEOFFS AND LIMITATIONS IN STATISTICALLY BASED IMAGE RECONSTRUCTION PROBLEMS by Thomas J. Kragh

  9. Statistics of dislocation pinning at localized obstacles

    SciTech Connect (OSTI)

    Dutta, A. [S. N. Bose National Centre for Basic Sciences, Salt Lake, Kolkata 700098 (India); Bhattacharya, M., E-mail: mishreyee@vecc.gov.in; Barat, P. [Variable Energy Cyclotron Centre, 1/AF Bidhannagar, Kolkata 700064 (India)

    2014-10-14T23:59:59.000Z

    Pinning of dislocations at nanosized obstacles like precipitates, voids, and bubbles is a crucial mechanism in the context of phenomena like hardening and creep. The interaction between such an obstacle and a dislocation is often studied at fundamental level by means of analytical tools, atomistic simulations, and finite element methods. Nevertheless, the information extracted from such studies cannot be utilized to its maximum extent on account of insufficient information about the underlying statistics of this process comprising a large number of dislocations and obstacles in a system. Here, we propose a new statistical approach, where the statistics of pinning of dislocations by idealized spherical obstacles is explored by taking into account the generalized size-distribution of the obstacles along with the dislocation density within a three-dimensional framework. Starting with a minimal set of material parameters, the framework employs the method of geometrical statistics with a few simple assumptions compatible with the real physical scenario. The application of this approach, in combination with the knowledge of fundamental dislocation-obstacle interactions, has successfully been demonstrated for dislocation pinning at nanovoids in neutron irradiated type 316-stainless steel in regard to the non-conservative motion of dislocations. An interesting phenomenon of transition from rare pinning to multiple pinning regimes with increasing irradiation temperature is revealed.

  10. Interactive Database Access with Statistics and Graphics

    E-Print Network [OSTI]

    Princeton Plasma Physics Laboratory

    DbAccess The Manual Interactive Database Access with Statistics and Graphics Version 2.1.1 D. M and graphical needs of NSTX Physicists. Flexible views and joins are possible, including options for complex SQL General Atomics (GA Plot Objects) adds extensive graphical and interactive capabilities (and documentation

  11. Notes on the MUF-D statistic

    SciTech Connect (OSTI)

    Picard, R.R. (Los Alamos National Lab., NM (USA))

    1987-01-01T23:59:59.000Z

    Verification of an inventory or of a reported material unaccounted for (MUF) calls for the remeasurement of a sample of items by an inspector followed by comparison of the inspector's data to the facility's reported values. Such comparison is intended to protect against falsification of accounting data that could conceal material loss. In the international arena, the observed discrepancies between the inspector's data and the reported data are quantified using the D statistic. If data have been falsified by the facility, the standard deviations of the D and MUF-D statistics are inflated owing to the sampling distribution. Moreover, under certain conditions the distributions of those statistics can depart markedly from normality, complicating evaluation of an inspection plan's performance. Detection probabilities estimated using standard deviations appropriate for the no-falsification case in conjunction with assumed normality can be far too optimistic. Under very general conditions regarding the facility's and/or the inspector's measurement error procedures and the inspector's sampling regime, the variance of the MUF-D statistic can be broken into three components. The inspection's sensitivity against various falsification scenarios can be traced to one or more of these components. Obvious implications exist for the planning of effective inspections, particularly in the area of resource optimization.

  12. Statistical Emulator Construction for Nonlinear Smart Systems

    E-Print Network [OSTI]

    efficient surrogates for nonlinear smart material models. We will primarily focus on emulators ferroelectric materials ideal components of a number of smart systems [3]. For example, polyvinylidene fluorideStatistical Emulator Construction for Nonlinear Smart Systems Francesca D. Reale1 and Ralph C

  13. Statistical Methods in Surveying by Trilateration

    E-Print Network [OSTI]

    Hereman, Willy A.M.

    positions. In practice, distances are measured with error, and statistical methods can quantify squares technique performs best, but in some situations a linear estimator could in theory be constructed is removed via controlled explosions, both accurate positioning of the drill and precise measurement

  14. Statistical Isotropy of the Cosmic Microwave Background Anisotropy

    E-Print Network [OSTI]

    Souradeep, Tarun

    Statistical Isotropy of the Cosmic Microwave Background Anisotropy Amir Hajian #3; I.U.C.A.A., Pune to be statistically isotropic, i.e., statistical expectation values of the temperature #29;uctuations are preserved under rotations of the sky. Only under statistical isotropy does the widely used angular power spectrum

  15. Statistical Model Criticism using Kernel Two Sample Tests

    E-Print Network [OSTI]

    Ghahramani, Zoubin

    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

  16. Statistics Major and Minor www.stat.pitt.edu

    E-Print Network [OSTI]

    Jiang, Huiqiang

    Statistics Major and Minor www.stat.pitt.edu Revised: 10/2012 The field of statistical science decisions in the face of uncertainties. Statistical reasoning is fundamental to research in many scientific. Recent high profile court cases have shown the importance of the use of probability and statistics in law

  17. Results on the Optimal Detection Statistic for Integrity Monitoring

    E-Print Network [OSTI]

    Stanford University

    Results on the Optimal Detection Statistic for Integrity Monitoring Juan Blanch, Todd Walter, Per of the detection statistics, and attempt to determine the optimal statistic given a threat model. There are three-dimensional, the optimal detection statistic is the solution separation, that is, the difference between the all

  18. Computer Models in Astronomy and Statistics Stellar Evolution

    E-Print Network [OSTI]

    van Dyk, David

    Computer Models in Astronomy and Statistics Stellar Evolution Calibration of X-ray Detectors Embedding Astronomical Computer Models into Complex Statistical Models David A. van Dyk Statistics Section Dyk Complex Analyses with Computer Models in Astronomy #12;Computer Models in Astronomy and Statistics

  19. 1 888 939 3333 | cancer.ca Cancer Statistics

    E-Print Network [OSTI]

    Habib, Ayman

    1 888 939 3333 | cancer.ca Canadian Cancer Statistics 2013 Special topic: Liver cancer Produced by Canadian Cancer Society, Statistics Canada, Public Health Agency of Canada, Provincial/Territorial Cancer Registries cancer.ca/statistics #12;2Canadian Cancer Society n Canadian Cancer Statistics 2013 Citation

  20. Statistics and Unsupervised Learning December 17th 2010

    E-Print Network [OSTI]

    Tanner, Jared

    for the quantification of uncertainty Statistics qualification very employable One of the few areas showing an increase in employment over the last 5 years Statistics is `sexy' (Hal Varian, chief economist at Google) "[StatisticiansStatistics and Unsupervised Learning Nema Dean December 17th 2010 #12;Why study Statistics

  1. E-Print Network 3.0 - array-valued statistical objects Sample...

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

    or from the entire network (global statistics). Now that you have created... object statistic, Server Load, and one global statistic, Ethernet Delay. 12;Collecting Statistics...

  2. ENGI 4421 Descriptive Statistics Page 1-01 A Brief Definition of "Statistics": [Navidi Chapter 1 & Devore Chapter 1

    E-Print Network [OSTI]

    George, Glyn

    & Devore Chapter 1] "Statistics" is the science of making decisions in the absence of certainty. . Some Probability Devore Ch. 2-6; Navidi Ch. 2-4 Notes Ch. 2-11 Inferential Statistics Devore Ch. 7-9, 12, 14ENGI 4421 Descriptive Statistics Page 1-01 A Brief Definition of "Statistics": [Navidi Chapter 1

  3. 8.333 Statistical Mechanics I: Statistical Mechanics of Particles, Fall 2007

    E-Print Network [OSTI]

    Kardar, Mehran

    Statistical Mechanics is a probabilistic approach to equilibrium properties of large numbers of degrees of freedom. In this two-semester course, basic principles are examined. Topics include: thermodynamics, probability ...

  4. 8.333 Statistical Mechanics I: Statistical Mechanics of Particles, Fall 2005

    E-Print Network [OSTI]

    Kardar, Mehran

    Statistical Mechanics is a probabilistic approach to equilibrium properties of large numbers of degrees of freedom. In this two-semester course, basic principles are examined. Topics include: thermodynamics, probability ...

  5. Introductory statistical mechanics for electron storage rings

    SciTech Connect (OSTI)

    Jowett, J.M.

    1986-07-01T23:59:59.000Z

    These lectures introduce the beam dynamics of electron-positron storage rings with particular emphasis on the effects due to synchrotron radiation. They differ from most other introductions in their systematic use of the physical principles and mathematical techniques of the non-equilibrium statistical mechanics of fluctuating dynamical systems. A self-contained exposition of the necessary topics from this field is included. Throughout the development, a Hamiltonian description of the effects of the externally applied fields is maintained in order to preserve the links with other lectures on beam dynamics and to show clearly the extent to which electron dynamics in non-Hamiltonian. The statistical mechanical framework is extended to a discussion of the conceptual foundations of the treatment of collective effects through the Vlasov equation.

  6. Statistical approach to nuclear level density

    SciTech Connect (OSTI)

    Sen'kov, R. A.; Horoi, M. [Department of Physics, Central Michigan University, Mount Pleasant, MI 48859 (United States); Zelevinsky, V. G. [Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University, East Lansing, MI 48824-1321 (United States)

    2014-10-15T23:59:59.000Z

    We discuss the level density in a finite many-body system with strong interaction between the constituents. Our primary object of applications is the atomic nucleus but the same techniques can be applied to other mesoscopic systems. We calculate and compare nuclear level densities for given quantum numbers obtained by different methods, such as nuclear shell model (the most successful microscopic approach), our main instrument - moments method (statistical approach), and Fermi-gas model; the calculation with the moments method can use any shell-model Hamiltonian excluding the spurious states of the center-of-mass motion. Our goal is to investigate statistical properties of nuclear level density, define its phenomenological parameters, and offer an affordable and reliable way of calculation.

  7. New paradigms for the statistics profession

    SciTech Connect (OSTI)

    Iman, R.L.

    1995-02-01T23:59:59.000Z

    This paper is a presentation made in support of the statistics profession. This field can say it has had a major impact in most major fields of study presently undertaken by man, yet it is not perceived as an important, or critical field of study. It is not a growth field either, witness the almost level number of faculty and new PhD`s produced over the past twenty years. The author argues the profession must do a better job of selling itself to the students it educates. Awaken them to the impact of statistics in their lives and their business worlds, so that they see beyond the formulae to the application of these principles.

  8. Nonextensive statistical dynamics applied to wall turbulence

    E-Print Network [OSTI]

    Simen Ellingsen; Per-ge Krogstad

    2014-02-10T23:59:59.000Z

    We apply a formalism of nonextensive statistical mechanics to experimental wall turbulence data, for the first time to our knowledge. Wind tunnel data for velocity differences a streamwise distance $r$ apart are compared to the prediction from theory as developed by Beck. The simplest theory, in which all free parameters are removed, is found to reproduce statistics for the wall-normal velocity component remarkably well, even for $r$ well beyond the corresponding integral scale, while the corresponding description of the streamwise velocity fluctuations is reasonable at separations below the integral scale. A least-squares 2-parameter fit is performed, and the dependence of the optimum parameter values on wall separation and $r$ is analysed. Both parameters are found to be approximately independent of wall-separation in the logarithmic sub-layer.

  9. Robust statistical reconstruction for charged particle tomography

    DOE Patents [OSTI]

    2013-10-08T23:59:59.000Z

    Systems and methods for charged particle detection including statistical reconstruction of object volume scattering density profiles from charged particle tomographic data to determine the probability distribution of charged particle scattering using a statistical multiple scattering model and determine a substantially maximum likelihood estimate of object volume scattering density using expectation maximization (ML/EM) algorithm to reconstruct the object volume scattering density. The presence of and/or type of object occupying the volume of interest can be identified from the reconstructed volume scattering density profile. The charged particle tomographic data can be cosmic ray muon tomographic data from a muon tracker for scanning packages, containers, vehicles or cargo. The method can be implemented using a computer program which is executable on a computer.

  10. Mathematical and Statistical Opportunities in Cyber Security

    SciTech Connect (OSTI)

    Meza, Juan; Campbell, Scott; Bailey, David

    2009-03-23T23:59:59.000Z

    The role of mathematics in a complex system such as the Internet has yet to be deeply explored. In this paper, we summarize some of the important and pressing problems in cyber security from the viewpoint of open science environments. We start by posing the question 'What fundamental problems exist within cyber security research that can be helped by advanced mathematics and statistics'? Our first and most important assumption is that access to real-world data is necessary to understand large and complex systems like the Internet. Our second assumption is that many proposed cyber security solutions could critically damage both the openness and the productivity of scientific research. After examining a range of cyber security problems, we come to the conclusion that the field of cyber security poses a rich set of new and exciting research opportunities for the mathematical and statistical sciences.

  11. A different approach to introducing statistical mechanics

    E-Print Network [OSTI]

    Moore, Thomas A

    2015-01-01T23:59:59.000Z

    The basic notions of statistical mechanics (microstates, multiplicities) are quite simple, but understanding how the second law arises from these ideas requires working with cumbersomely large numbers. To avoid getting bogged down in mathematics, one can compute multiplicities numerically for a simple model system such as an Einstein solid -- a collection of identical quantum harmonic oscillators. A computer spreadsheet program or comparable software can compute the required combinatoric functions for systems containing a few hundred oscillators and units of energy. When two such systems can exchange energy, one immediately sees that some configurations are overwhelmingly more probable than others. Graphs of entropy vs. energy for the two systems can be used to motivate the theoretical definition of temperature, $T= (\\partial S/\\partial U)^{-1}$, thus bridging the gap between the classical and statistical approaches to entropy. Further spreadsheet exercises can be used to compute the heat capacity of an Einst...

  12. Statistical Mechanical Models and Topological Color Codes

    E-Print Network [OSTI]

    H. Bombin; M. A. Martin-Delgado

    2007-11-03T23:59:59.000Z

    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.

  13. ANOVA and Statistical Models R. A. Bailey

    E-Print Network [OSTI]

    Bailey, R. A.

    ANOVA and Statistical Models R. A. Bailey School of Mathematical Sciences r.a.bailey@qmul.ac.uk ESD on cow i = KA +i if on diet A KB +i if on diet B KC +i if on diet C where 1, ..., 11 are independent: yield depends on diet. Model: yield on cow i = KA +i if on diet A KB +i if on diet B KC +i if on diet

  14. Statistical mechanics of confined quantum particles

    E-Print Network [OSTI]

    Vishnu M. Bannur; K. M. Udayanandan

    2006-02-02T23:59:59.000Z

    We develop statistical mechanics and thermodynamics of Bose and Fermi systems in relativistic harmonic oscillator (RHO) confining potential, which may be applicable in quark gluon plasma (QGP), astrophysics, Bose-Einstein condensation (BEC), condensed matter physics etc. Detailed study of QGP system is carried out and compared with lattice results. Further, as an application, our equation of state (EoS) of QGP is used to study compact stars like quark star.

  15. Statistical properties of the continuum Salerno model

    E-Print Network [OSTI]

    M. Marklund; P. K. Shukla; R. Bingham; J. T. Mendonca

    2006-08-09T23:59:59.000Z

    The statistical properties of the Salerno model is investigated. In particular, a comparison between the coherent and partially coherent wave modes is made for the case of a random phased wave packet. It is found that the random phased induced spectral broadening gives rise to damping of instabilities, but also a broadening of the instability region in quasi-particle momentum space. The results can be of significance for condensation of magnetic moment bosons in deep optical lattices.

  16. Escape time statistics for mushroom billiards

    E-Print Network [OSTI]

    T. Miyaguchi

    2006-12-27T23:59:59.000Z

    Chaotic orbits of mushroom billiards display intermittent behaviors. We investigate statistical properties of this system by constructing an infinite partition on the chaotic part of a Poincar\\'e surface which illustrates details of chaotic dynamics. Each piece of the infinite partition has an unique escape time from the half disk region, and from this result it is shown that, for fixed values of the system parameters, the escape time distribution obeys power law $1/t_{\\rm esc}^3$.

  17. Hidden Variables and Quantum Statistics Nature

    E-Print Network [OSTI]

    T. F. Kamalov

    2007-03-14T23:59:59.000Z

    It is shown that the nature of quantum statistics can be clarified by assuming the existence of a background of random gravitational fields and waves, distributed isotropically in the space. This background is responsible for correlating phases of oscillations of identical microobjects. If such a background of random gravitational fields and waves is considered as hidden variables then taking it into account leads to the Bell-type inequalities that are fairly consistent with the experimental data.

  18. A comparison of D statistic approaches

    SciTech Connect (OSTI)

    Franklin, M. [Commission of the European Communities, Ispra (Italy). Joint Research Centre

    1993-12-31T23:59:59.000Z

    This paper compares the traditional D statistic with a ratio estimator (R) of the true material discrepancy in the verification of nuclear material accounts. The purpose of the paper is to discuss whether there is any practical advantage in using R in place of D. The paper discusses D and R in terms of bias, standard deviation and its` estimation, reliability of confidence intervals and information requirements for implementation.

  19. Monthly/Annual Energy Review - renewable section

    Reports and Publications (EIA)

    2015-01-01T23:59:59.000Z

    Monthly and latest annual statistics on renewable energy production and consumption and overviews of fuel ethanol and biodiesel.

  20. Weatherization Assistance Program - Background Data and Statistics

    SciTech Connect (OSTI)

    Eisenberg, Joel Fred [ORNL

    2010-03-01T23:59:59.000Z

    This technical memorandum is intended to provide readers with information that may be useful in understanding the purposes, performance, and outcomes of the Department of Energy's (DOE's) Weatherization Assistance Program (Weatherization). Weatherization has been in operation for over thirty years and is the nation's largest single residential energy efficiency program. Its primary purpose, established by law, is 'to increase the energy efficiency of dwellings owned or occupied by low-income persons, reduce their total residential energy expenditures, and improve their health and safety, especially low-income persons who are particularly vulnerable such as the elderly, the handicapped, and children.' The American Reinvestment and Recovery Act PL111-5 (ARRA), passed and signed into law in February 2009, committed $5 Billion over two years to an expanded Weatherization Assistance Program. This has created substantial interest in the program, the population it serves, the energy and cost savings it produces, and its cost-effectiveness. This memorandum is intended to address the need for this kind of information. Statistically valid answers to many of the questions surrounding Weatherization and its performance require comprehensive evaluation of the program. DOE is undertaking precisely this kind of independent evaluation in order to ascertain program effectiveness and to improve its performance. Results of this evaluation effort will begin to emerge in late 2010 and 2011, but they require substantial time and effort. In the meantime, the data and statistics in this memorandum can provide reasonable and transparent estimates of key program characteristics. The memorandum is laid out in three sections. The first deals with some key characteristics describing low-income energy consumption and expenditures. The second section provides estimates of energy savings and energy bill reductions that the program can reasonably be presumed to be producing. The third section deals with estimates of program cost-effectiveness and societal impacts such as carbon reduction and reduced national energy consumption. Each of the sections is brief, containing statistics, explanatory graphics and tables as appropriate, and short explanations of the statistics in order to place them in context for the reader. The companion appendices at the back of the memorandum explain the methods and sources used in developing the statistics.

  1. Interim Solar Radiation Data Manual: 30-Year Statistics from the National Solar Radiation Data Base

    SciTech Connect (OSTI)

    Not Available

    1992-11-01T23:59:59.000Z

    The 30-year (1961-1990) statistics contained in this document have been derived from the National Solar Radiation Data Base (NSRDB) produced by the National Renewable Energy Laboratory (NREL). They outline solar radiation sources, as well as 30-year monthly and annual means of 5 solar radiation elements (three surface and two extraterrestrial) and 12 meteorological elements for 239 locations.

  2. REANALYSIS OF F-STATISTIC GRAVITATIONAL-WAVE SEARCHES WITH THE HIGHER CRITICISM STATISTIC

    SciTech Connect (OSTI)

    Bennett, M. F.; Melatos, A. [School of Physics, University of Melbourne, Parkville, VIC 3010 (Australia)] [School of Physics, University of Melbourne, Parkville, VIC 3010 (Australia); Delaigle, A.; Hall, P., E-mail: mfb@unimelb.edu.au [Department of Mathematics and Statistics, University of Melbourne, Parkville, VIC 3010 (Australia)

    2013-04-01T23:59:59.000Z

    We propose a new method of gravitational-wave detection using a modified form of higher criticism, a statistical technique introduced by Donoho and Jin. Higher criticism is designed to detect a group of sparse, weak sources, none of which are strong enough to be reliably estimated or detected individually. We apply higher criticism as a second-pass method to synthetic F-statistic and C-statistic data for a monochromatic periodic source in a binary system and quantify the improvement relative to the first-pass methods. We find that higher criticism on C-statistic data is more sensitive by {approx}6% than the C-statistic alone under optimal conditions (i.e., binary orbit known exactly) and the relative advantage increases as the error in the orbital parameters increases. Higher criticism is robust even when the source is not monochromatic (e.g., phase-wandering in an accreting system). Applying higher criticism to a phase-wandering source over multiple time intervals gives a {approx}> 30% increase in detectability with few assumptions about the frequency evolution. By contrast, in all-sky searches for unknown periodic sources, which are dominated by the brightest source, second-pass higher criticism does not provide any benefits over a first-pass search.

  3. Statistical estimation of water distribution system pipe break risk

    E-Print Network [OSTI]

    Yamijala, Shridhar

    2009-05-15T23:59:59.000Z

    and maintenance decisions. A number of statistical methods have been proposed for this estimation problem. This thesis focuses on comparing these statistical models on the basis of short time histories. The goals of this research are to estimate the likelihood...

  4. Statistical Science 2009, Vol. 24, No. 1, 1720

    E-Print Network [OSTI]

    Lautrup, Benny

    .1214/09-STS285 © Institute of Mathematical Statistics, 2009 Comment: Citation Statistics Sune Lehmann, Benny E) uncertainties to any given choice of M. Sune Lehmann is Postdoctoral Researcher, Center for Complex Network

  5. ASTRONOMY BIOLOGY CHEMISTRY COMPUTER-SCIENCE GEOGRAPHY MATHEMATICS PHYSICS STATISTICS

    E-Print Network [OSTI]

    Bernstein, Phil

    ASTRONOMY BIOLOGY CHEMISTRY COMPUTER-SCIENCE GEOGRAPHY MATHEMATICS PHYSICS STATISTICS HEALTHCARE BIOMEDICAL-ENGINEERING ELECTRONIC- ENGINEERING ASTRONOMY BIOLOGY CHEMISTRY COMPUTER-SCIENCE GEOGRAPHY MATHEMATICS PHYSICS STATISTICS HEALTHCARE BIOMEDICAL-ENGINEERING ELECTRONIC-ENGINEERING ASTRONOMY BIOLOGY C H

  6. Statistical Modeling with the Virtual Source MOSFET Model

    E-Print Network [OSTI]

    Yu, Li

    A statistical extension of the ultra-compact Virtual Source (VS) MOSFET model is developed here for the first time. The characterization uses a statistical extraction technique based on the backward propagation of variance ...

  7. STATISTICAL MODELS FOR MULTIPLE SEQUENCE ALIGNMENT: UNIFICATIONS AND GENERALIZATIONS

    E-Print Network [OSTI]

    Liu, Jun

    , Stanford University; Charles E. Lawrence, NYSDOH Jun S. Liu, Department of Statistics, Stanford University and our main point of interest. We believe that building explicit statistical model is an important

  8. Frederi G. Viens Professor of Statistics and Mathematics

    E-Print Network [OSTI]

    Viens, Frederi G.

    1996 National Defense Science and Engineering Graduate Fellow, U.C. Irvine 1996 U.C. Irvine Connely Award Science Fractional Brownian Motion Spin Glasses Stochastic Volatility Parameter estimation (Statistics, Calculus, Business calculus, Probability, Statistics. Undergrad upper division: Discrete mathematics

  9. Seismic imaging using higher order statistics

    E-Print Network [OSTI]

    Srinivasan, Karthik

    1999-01-01T23:59:59.000Z

    weather, Gaussian noise example: (a) measurement x(t), (b) measurement y(t), (c) cross-correlation, (d) coherence-correlation, (e) bispectral-correlation, (f) bicoherence-correlation . . 21 Non-Gaussian noise example: (a) measurement x(t), (b... in the later sections. 2. SECOND ORDER STATISTICS 2. 1. Cross-correlation Given two real random signals x(t), y(t), and their Fourier transforms X(tu), Y(tu), the cross-correlation is given by v (r) = E[x(t)y(t+r)] = F '[P (m)], where F' is the Fourier...

  10. Statistical analysis of a dynamical multifragmentation path

    E-Print Network [OSTI]

    A. H. Raduta; M. Colonna; V. Baran; M. Di Toro

    2006-02-20T23:59:59.000Z

    A microcanonical multifragmentation model (MMM) is used for investigating whether equilibration really occurs in the dynamical evolution of two heavy ion collisions simulated via a stochastic mean field approach (SMF). The standard deviation function between the dynamically obtained freeze-out fragment distributions corresponding to the reaction $^{129}$Xe+$^{119}$Sn at 32 MeV/u and the MMM ones corresponding to a wide range of mass, excitation energy, freeze-out volume and nuclear level density cut-off parameter shows a unique minimum. A distinct statistically equilibrated stage is identified in the dynamical evolution of the system.

  11. Dark energy models through nonextensive Tsallis' statistics

    E-Print Network [OSTI]

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

    2014-03-22T23:59:59.000Z

    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.

  12. Special problems in statistical critical pert analysis

    E-Print Network [OSTI]

    Robieux, Christian Claude

    1978-01-01T23:59:59.000Z

    the mathematical problem. The section 1. 3. 5 presents different kinds of remainder term and ex- plains the consequences of these results. But before we need to sum up the structure of the network by a certain kind of statistical relationship between the paths...". The definition of I is I = E( (T ? E(T)) (T ? E(T)) ' ) Since T = PX, we have I = P E( (X ? E(Z)) (X ? E(X)) ' )P' The independence of the x . ' s implies i E=Pdiag (o. . . a) P' 1''''' b (1. 1. 2) where o2 is the variance of the activity time T 1 As diag...

  13. Incompatible Statistics and Bell-KS Theorem

    E-Print Network [OSTI]

    ngel Rivas

    2015-01-20T23:59:59.000Z

    We analyze a possible loophole to the conclusion of the Bell-KS theorem that quantum mechanics is not compatible with any realistic and noncontextual or local theory. We emphasize that the models discarded by Bell-KS-like arguments possess a property not shared by quantum mechanics, i.e. the capability to make non-trivial statements about the joint statistics of quantum incompatible observables. By ruling out this possibility, apparently nothing seems to prevent from a realistic, noncontextual or local view of quantum mechanics.

  14. APS Operational Statistics for FY 2015

    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 JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience4AJ01) (See95TI07)Operations2AP-XPSAPS5 Operational Statistics Back to

  15. Spectral Statistics of RR Intervals in ECG

    E-Print Network [OSTI]

    Martinis, M; Knezevic, A; Crnugelj, J

    2003-01-01T23:59:59.000Z

    The statistical properties (fluctuations) of heartbeat intervals (RR intervals) in ECG are studied and compared with the predictions of Random Matrix Theory (RMT). It is found that heartbeat intervals only locally exhibit the fluctuation patterns (universality) predicted by the RMT. This finding shows that heartbeat dynamics is of the mixed type where regular and irregular (chaotic) regimes coexist and the Berry-Robnik theory can be applied. It is also observed that the distribution of heartbeat intervals is well described by the one-parameter Brody distribution. The parameter $\\beta $ of the Brody distribution is seen to be connected with the dynamical state of the heart.

  16. Statistical hadronization model predictions for charmed hadrons at LHC

    E-Print Network [OSTI]

    A Andronic; P Braun-Munzinger; K Redlich; J Stachel

    2007-07-27T23:59:59.000Z

    We present predictions of the statistical hadronization model for charmed hadrons production in Pb+Pb collisions at LHC.

  17. Unified statistical distribution of quantum particles and Symmetry

    E-Print Network [OSTI]

    Ahmad Adel Abutaleb

    2014-06-10T23:59:59.000Z

    In this paper we propose a unified statistics of Bose-Einstein and Fermi-Dirac statistics by suggesting that every particle can be associated with matter or fundamental forces with certain probability. The main Justification for this proposal is the possibility of extension of the spin-statistics theory to include a hypothesis quantum particles have fractional spin. The concept of Supersymmetry can be related to this unified statistics.

  18. Statistical models and experimental designs for poultry research

    E-Print Network [OSTI]

    Abdel Baky, Anwar Ahmed

    1972-01-01T23:59:59.000Z

    STATISTICAL MODELS AND EXPERIMENTAL DESIGNS FOR POULTRY RESEARCH A Thesis by Submitted to the Graduate College of Texas ARM University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE May 1973 Major Subject...: Statistics STATISTICAL MODELS AND EXPERIMENTAL DESIGNS FOR POULTRY RESEARCH A Thesis by ANWAR ARMED ABDEL BAKY Approved as to sty1e snd content by: Head of Department Member mber Member Msy 1973 4 36 6 i 1 Statistical Models and Experimental...

  19. Statistical Properties of the Cluster Dynamics of the Systems of ...

    E-Print Network [OSTI]

    1910-70-12T23:59:59.000Z

    Landau Institute of Theoretical Physics, Moscow, Russia. . Department of Mathematics and Statistics, University of Nevada, Reno, NV 89557,. USA...

  20. ORIGINAL ARTICLE Quantification of the Statistical Effects of Spatiotemporal

    E-Print Network [OSTI]

    Rowe, Daniel B.

    that such operations have on the statistical properties of the acquired data are unaccounted for, neuroscientists could

  1. Generalized Energy Statistics and Kostka-Macdonald Polynomials

    E-Print Network [OSTI]

    RIMS-1704 Generalized Energy Statistics and Kostka-Macdonald Polynomials By Anatol N. KIRILLOV Statistics and Kostka­Macdonald Polynomials Anatol N. Kirillov1 and Reiho Sakamoto2 1 Research Institute of the modified Macdonald polynomial as a generating function of the energy statistics defined on the set of paths

  2. Fourier based statistics for irregular spaced spatial data

    E-Print Network [OSTI]

    Subba Rao, Suhasini

    Fourier based statistics for irregular spaced spatial data Suhasini Subba Rao Department A class of Fourier based statistics for irregular spaced spatial data is introduced, examples include. The Fourier based statistic is a quadratic form of a discrete Fourier-type transform of the spatial data

  3. Statistical Leakage Estimation in 32nm CMOS Considering Cells Correlations

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Statistical Leakage Estimation in 32nm CMOS Considering Cells Correlations Smriti Joshi 1 *, Anne into account input states and process variations is proposed. The statistical leakage estimation is based components in a device depend on the transistor geometry and threshold voltage, statistical variation

  4. Statistical Characterization of Complex Enclosures with Distributed Ports

    E-Print Network [OSTI]

    Anlage, Steven

    Statistical Characterization of Complex Enclosures with Distributed Ports Thomas M. Antonsen Jr. #1 anlage@umd.edu 4 edott@umd.edu Abstract--A statistical model, the Random Coupling Model, that describes of the effectiveness of shielding in the presence of apertures. I. INTRODUCTION A statistical approach is often taken

  5. STATISTICAL MODEL FOR SCATTERING MATRICES OF OPEN CAVITIES

    E-Print Network [OSTI]

    Anlage, Steven

    STATISTICAL MODEL FOR SCATTERING MATRICES OF OPEN CAVITIES Thomas M. Antonsen, Xing Zheng, Edward to study the statistical properties of the impedance (Z) and scattering (S) matrices of open on assumed properties of chaotic eigenfunctions for the closed system. Statistical properties of the cavity

  6. Statistics for Analysis of Experimental Data Catherine A. Peters

    E-Print Network [OSTI]

    Peters, Catherine A.

    Statistics for Analysis of Experimental Data Catherine A. Peters Department of Civil Engineering Processes Laboratory Manual S. E. Powers, Ed. AEESP, Champaign, IL 2001 1 #12;Statistics Princeton University Princeton, NJ 08544 Statistics is a mathematical tool for quantitative analysis of data

  7. Statistics Twentyfirst Century Astrometry K. Eichhorn Memorial Lecture

    E-Print Network [OSTI]

    Jefferys, William

    Statistics Twenty­first Century Astrometry Heinrich K. Eichhorn Memorial Lecture William Je#erys (bill@astro.as.utexas.edu University at Austin, Abstract. Eichhorn statistics scientific a number of significant contributions statistical treatment of astrometric problems. a movement for the reintroduction

  8. Statistical Mechanics of On-line learning Michael Biehl1

    E-Print Network [OSTI]

    Biehl, Michael

    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

  9. Statistics from Lagrangian observations J.H. LaCasce *

    E-Print Network [OSTI]

    LaCasce, Joseph H.

    Review Statistics from Lagrangian observations J.H. LaCasce * Department of Geosciences, University February 2008 Keywords: Lagrangian statistics Floats Drifters Absolute and relative dispersion a b s t r a c t We review statistical analyses of Lagrangian data from the ocean. These can be grouped

  10. Computer Models in Astronomy and Statistics Stellar Evolution

    E-Print Network [OSTI]

    van Dyk, David

    Computer Models in Astronomy and Statistics Stellar Evolution Calibration of X-ray Detectors Embedding Astronomical Computer Models into Complex Statistical Models David A. van Dyk Statistics Section, Imperial College London UCLA, February 2012 David A. van Dyk Complex Analyses with Computer Models

  11. Statistical Science 2006, Vol. 21, No. 2, 286298

    E-Print Network [OSTI]

    Kou, Steven

    Statistical Science 2006, Vol. 21, No. 2, 286298 DOI: 10.1214/088342306000000088 Institute worldwide for his contributions in probability, sta- tistics and the history of statistics. He is a Fellow and leader of the probability and statistics re- search community. The interview ranges over his education

  12. Columbia University Statistics Tian Zheng and Zhiliang Ying

    E-Print Network [OSTI]

    Columbia University

    Columbia University Statistics Tian Zheng and Zhiliang Ying Statistical Activities at Columbia Leung Lai for their comments and suggestions on earlier versions of this chapter. Columbia University at Columbia University to support the emerging statistical needs of the war effort (Rees 1980). Over the 39

  13. XIAOQIAN SUN As of January 2014 Associate Professor of Statistics

    E-Print Network [OSTI]

    Sun, Xiaoqian

    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

  14. STATISTICS OF EXTREMES IN CLIMATE CHANGE Richard W. Katz

    E-Print Network [OSTI]

    Katz, Richard

    STATISTICS OF EXTREMES IN CLIMATE CHANGE Richard W. Katz Institute for Study of Society the application of the statistical theory of extreme values to climate, in general, and to climate change, in particular. The statistical theory of extreme values is briefly reviewed, both the extremal types theorem

  15. International petroleum statistics report, March 1998

    SciTech Connect (OSTI)

    NONE

    1998-03-01T23:59:59.000Z

    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. 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 1996; OECD stocks from 1973 through 1996; and OECD trade from 1986 through 1996.

  16. International petroleum statistics report, July 1999

    SciTech Connect (OSTI)

    NONE

    1999-07-01T23:59:59.000Z

    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. 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 1990, 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 and annually for the three years prior to that. 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 1998; OECD stocks from 1973 through 1998; and OECD trade from 1988 through 1998. 4 figs., 44 tabs.

  17. Statistical Complexity of Sampled Chaotic Attractors

    E-Print Network [OSTI]

    Luciana De Micco; Juana Graciela Fernndez; Hilda Angela Larrondo; Angelo Plastino; Osvaldo Anibal Rosso

    2011-05-19T23:59:59.000Z

    We analyze the statistical complexity vs. entropy plane-representation of sampled chaotic attractors as a function of the sampling period {\\tau}. It is shown that if the Bandt and Pompe procedure is used to assign a probability distribution function (PDF) to the pertinent time series, the statistical complexity measure (SCM) attains a definite maximum for a specific sampling period tM. If the usual histogram approach is used instead in order to assign the PDF to the time series, the SCM remains almost constant at any sampling period {\\tau}. The significance of tM is further investigated by comparing it with typical times given in the literature for the two main reconstruction processes: the Takens' one in a delay-time embedding, and the exact Nyquist-Shannon reconstruction. It is shown that tM is compatible with those times recommended as adequate delay ones in Takens' reconstruction. The reported results correspond to three representative chaotic systems having correlation dimension 2 < D2 < 3. One recent experiment confirms the analysis presented here.

  18. Statistics of polymer adsorption under shear flow

    E-Print Network [OSTI]

    Gui-Li He; Ren Messina; Hartmut Lwen

    2009-10-09T23:59:59.000Z

    Using non-equilibrium Brownian dynamics computer simulations, we have investigated the steady state statistics of a polymer chain under three different shear environments: i) linear shear flow in the bulk (no walls), ii) shear vorticity normal to the adsorbing wall, iii) shear gradient normal to the adsorbing wall. The statistical distribution of the chain end-to-end distance and its orientational angles are calculated within our monomer-resolved computer simulations. Over a wide range of shear rates, this distribution can be mapped onto a simple theoretical finite-extensible-nonlinear-elastic dumbbell model with fitted anisotropic effective spring constants. The tails of the angular distribution functions are consistent with scaling predictions borrowed from the bulk dumbbell model. Finally, the frequency of the characteristic periodic tumbling motion has been investigated by simulation as well and was found to be sublinear with the shear rate for the three set-ups, which extends earlier results done in experiments and simulations for free and tethered polymer molecules without adsorption.

  19. International petroleum statistics report, September 1993

    SciTech Connect (OSTI)

    Not Available

    1993-09-28T23:59:59.000Z

    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 1980, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for 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 1992; OECD stocks from 1973 through 1992; and OECD trade from 1982 through 1992. Data for the United States are developed by the Energy Information Administration (EIA) Office of Oil and Gas. Data for other countries are derived largely from published sources including International Energy Agency publications, the EIA International Energy Annual, and the trade press. (See sources after each section). All data are reviewed by the International Statistics Branch of EIA. All data have been converted to units of measurement familiar to the American public. Definitions of oil production and consumption are consistent with other EIA publications.

  20. Minfer: Inferring Motif Statistics From Sampled Edges

    E-Print Network [OSTI]

    Wang, Pinghui; Towsley, Don

    2015-01-01T23:59:59.000Z

    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...

  1. Statistics and geometry of cosmic voids

    SciTech Connect (OSTI)

    Gaite, Jos, E-mail: jose.gaite@upm.es [Instituto de Microgravedad IDR, ETS Ingenieros Aeronuticos, Universidad Politcnica de Madrid, E-28040 Madrid (Spain)

    2009-11-01T23:59:59.000Z

    We introduce new statistical methods for the study of cosmic voids, focusing on the statistics of largest size voids. We distinguish three different types of distributions of voids, namely, Poisson-like, lognormal-like and Pareto-like distributions. The last two distributions are connected with two types of fractal geometry of the matter distribution. Scaling voids with Pareto distribution appear in fractal distributions with box-counting dimension smaller than three (its maximum value), whereas the lognormal void distribution corresponds to multifractals with box-counting dimension equal to three. Moreover, voids of the former type persist in the continuum limit, namely, as the number density of observable objects grows, giving rise to lacunar fractals, whereas voids of the latter type disappear in the continuum limit, giving rise to non-lacunar (multi)fractals. We propose both lacunar and non-lacunar multifractal models of the cosmic web structure of the Universe. A non-lacunar multifractal model is supported by current galaxy surveys as well as cosmological N-body simulations. This model suggests, in particular, that small dark matter halos and, arguably, faint galaxies are present in cosmic voids.

  2. Appendix A. Hydraulic Properties Statistics Tables Table A1. Hydraulic properties statistics for the alluvium (Stephens et al.).

    E-Print Network [OSTI]

    A-1 Appendix A. Hydraulic Properties Statistics Tables Table A1. Hydraulic properties statistics Deviation .1708 4.274 28.95 Harmonic Mean Number of Observations 9 8 8 2 2 2 2 2 Table A2. Hydraulic.310-5 Number of Observations 10 10 10 34 34 4 4 4 #12;A-2 Table A3. Hydraulic properties statistics

  3. MATH 482A/598A: Statistics Practicum Spring 2013 Applied Mathematics and Statistics, CSM Syllabus

    E-Print Network [OSTI]

    will apply statistical principles to data analysis through advanced work, leading to a written report must implement the method (or a modified version thereof) on real wind data. Secondly, all teams, lectures will be given over assigned readings in basic time series, forecasting, and general wind energy

  4. International petroleum statistics report, October 1997

    SciTech Connect (OSTI)

    NONE

    1997-10-01T23:59:59.000Z

    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 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 1996; OECD stocks from 1973 through 1996; and OECD trade from 1986 through 1996. 4 figs., 48 tabs.

  5. International Petroleum Statistics Report, January 1994

    SciTech Connect (OSTI)

    Not Available

    1994-01-31T23:59:59.000Z

    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 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 for the years 1970 through 1992; OECD stocks from 1973 through 1992; and OECD trade from 1982 through 1992.

  6. Statistical Approach to Quantum Chaotic Ratchets

    E-Print Network [OSTI]

    Itzhack Dana

    2010-03-15T23:59:59.000Z

    The quantum ratchet effect in fully chaotic systems is approached by studying, for the first time, \\emph{statistical} properties of the ratchet current over well-defined sets of initial states. Natural initial states in a semiclassical regime are those that are \\emph{phase-space uniform} with the \\emph{maximal possible} resolution of one Planck cell. General arguments in this regime, for quantum-resonance values of a scaled Planck constant $\\hbar$, predict that the distribution of the current over all such states is a zero-mean Gaussian with variance $\\sim D\\hbar^{2}/(2\\pi^{2})$, where $D$ is the chaotic-diffusion coefficient. This prediction is well supported by extensive numerical evidence. The average strength of the effect, measured by the variance above, is \\emph{significantly larger} than that for the usual momentum states and other states. Such strong effects should be experimentally observable.

  7. Statistical Approach to Quantum Chaotic Ratchets

    E-Print Network [OSTI]

    Dana, Itzhack

    2010-01-01T23:59:59.000Z

    The quantum ratchet effect in fully chaotic systems is approached by studying, for the first time, \\emph{statistical} properties of the ratchet current over well-defined sets of initial states. Natural initial states in a semiclassical regime are those that are \\emph{phase-space uniform} with the \\emph{maximal possible} resolution of one Planck cell. General arguments in this regime, for quantum-resonance values of a scaled Planck constant $\\hbar$, predict that the distribution of the current over all such states is a zero-mean Gaussian with variance $\\sim D\\hbar^{2}/(2\\pi^{2})$, where $D$ is the chaotic-diffusion coefficient. This prediction is well supported by extensive numerical evidence. The average strength of the effect, measured by the variance above, is \\emph{significantly larger} than that for the usual momentum states and other states. Such strong effects should be experimentally observable.

  8. Visual servoing using statistical pressure snakes.

    SciTech Connect (OSTI)

    Schaub, Hanspeter (ORION International Technologies, Albuquerque, NM)

    2004-05-01T23:59:59.000Z

    A nonlinear visual servoing steering law is presented which is used to align a camera view with a visual target. A full color version of statistical pressure snakes is used to identify and track the target with a series of video frames. The nonlinear steering law provides camera-frame centric speed commands to a velocity based servo sub-system. To avoid saturating the subsystem, the commanded speeds are smoothly limited to remain within a finite range. Analytical error analysis is also provided illustrating how the two control gains contribute to the stiffness of the control. The algorithm is demonstrated on a pan and tilt camera system. The control law is able to smoothly realign the camera to point at the target.

  9. Determinating Timing Channels in Statistically Multiplexed Clouds

    E-Print Network [OSTI]

    Aviram, Amittai; Ford, Bryan; Gummadi, Ramakrishna

    2010-01-01T23:59:59.000Z

    Timing side-channels represent an insidious security challenge for cloud computing, because: (a) they enable one customer to steal information from another without leaving a trail or raising alarms; (b) only the cloud provider can feasibly detect and report such attacks, but the provider's incentives are not to; and (c) known general-purpose timing channel control methods undermine statistical resource sharing efficiency, and, with it, the cloud computing business model. We propose a new cloud architecture that uses provider-enforced deterministic execution to eliminate all timing channels internal to a shared cloud domain, without limiting internal resource sharing. A prototype determinism-enforcing hypervisor demonstrates that utilizing such a cloud might be both convenient and efficient. The hypervisor enables parallel guest processes and threads to interact via familiar shared memory and file system abstractions, and runs moderately coarse-grained parallel tasks as efficiently and scalably as current nond...

  10. Statistical mechanics of gravitating systems: An Overview

    E-Print Network [OSTI]

    T. Padmanabhan

    2009-02-16T23:59:59.000Z

    I review several issues related to statistical description of gravitating systems in both static and expanding backgrounds. After briefly reviewing the results for the static background, I concentrate on gravitational clustering of collisionless particles in an expanding universe. In particular, I describe (a) how the non linear mode-mode coupling transfers power from one scale to another in the Fourier space if the initial power spectrum is sharply peaked at a given scale and (b) the asymptotic characteristics of gravitational clustering which are independent of the initial conditions. Numerical simulations as well as analytic work shows that power transfer leads to a universal power spectrum at late times, somewhat reminiscent of the existence of Kolmogorov spectrum in fluid turbulence.

  11. International Petroleum Statistics Report, July 1994

    SciTech Connect (OSTI)

    Not Available

    1994-07-26T23:59:59.000Z

    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 1993; OECD stocks from 1973 through 1993; and OECD trade from 1983 through 1993. Data for the United States are developed by the Energy Information Administration`s (EIA) Office of Oil and Gas. Data for other countries are derived largely from published sources, including International Energy Agency publications, the EIA International Energy Annual, and the trade press. (See sources after each section.) All data are reviewed by the International Statistics Branch of EIA. All data have been converted to units of measurement familiar to the American public. Definitions of oil production and consumption are consistent with other EIA publications.

  12. Statistical sampling method for releasing decontaminated vehicles

    SciTech Connect (OSTI)

    Lively, J.W.; Ware, J.A. [Rust Geotech, Grand Junction, CO (United States)

    1996-06-01T23:59:59.000Z

    Earth moving vehicles (e.g., dump trucks, belly dumps) commonly haul radiologically contaminated materials from a site being remediated to a disposal site. Traditionally, each vehicle must be surveyed before being released. The logistical difficulties of implementing the traditional approach on a large scale demand that an alternative be devised. A statistical method (MIL-STD-105E, {open_quotes}Sampling Procedures and Tables for Inspection by Attributes{close_quotes}) for assessing product quality from a continuous process was adapted to the vehicle decontamination process. This method produced a sampling scheme that automatically compensates and accommodates fluctuating batch sizes and changing conditions without the need to modify or rectify the sampling scheme in the field. Vehicles are randomly selected (sampled) upon completion of the decontamination process to be surveyed for residual radioactive surface contamination. The frequency of sampling is based on the expected number of vehicles passing through the decontamination process in a given period and the confidence level desired. This process has been successfully used for 1 year at the former uranium mill site in Monticello, Utah (a CERCLA regulated clean-up site). The method forces improvement in the quality of the decontamination process and results in a lower likelihood that vehicles exceeding the surface contamination standards are offered for survey. Implementation of this statistical sampling method on Monticello Projects has resulted in more efficient processing of vehicles through decontamination and radiological release, saved hundreds of hours of processing time, provided a high level of confidence that release limits are met, and improved the radiological cleanliness of vehicles leaving the controlled site.

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

    E-Print Network [OSTI]

    Albert Satorra; Peter Bentler

    2011-01-01T23:59:59.000Z

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

  14. User Statistics Collection Practices | U.S. DOE Office of Science...

    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...

  15. Design and performance of a scalable, parallel statistics toolkit.

    SciTech Connect (OSTI)

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

    2010-11-01T23:59:59.000Z

    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.

  16. On Deviations from Gaussian Statistics for Surface Gravity Waves

    E-Print Network [OSTI]

    M. Onorato; A. R. Osborne; M. Serio

    2005-03-31T23:59:59.000Z

    Here we discuss some issues concerning the statistical properties of ocean surface waves. We show that, using the approach of weak turbulence theory, deviations from Gaussian statistics can be naturally included. In particular we discuss the role of bound and free modes for the determination of the statistical properties of the surface elevation. General formulas for skewness and kurtosis as a function of the spectral wave action density are here derived.

  17. International petroleum statistics report, December 1993

    SciTech Connect (OSTI)

    Not Available

    1993-12-01T23:59:59.000Z

    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 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 1992; OECD stocks from 1973 through 1992; and OECD trade from 1982 through 1992. 41 tabs.

  18. International petroleum statistics report, April 1994

    SciTech Connect (OSTI)

    Not Available

    1994-04-01T23:59:59.000Z

    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 1993; OECD stocks from 1973 through 1993; and OECD trade from 1982 through 1992. 41 tables.

  19. International petroleum statistics report, February 1996

    SciTech Connect (OSTI)

    NONE

    1996-02-28T23:59:59.000Z

    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.

  20. International petroleum statistics report, October 1998

    SciTech Connect (OSTI)

    NONE

    1998-10-01T23:59:59.000Z

    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 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 46 tabs.

  1. International petroleum statistics report, December 1997

    SciTech Connect (OSTI)

    NONE

    1997-12-01T23:59:59.000Z

    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. The 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 1996; OECD stocks from 1973 through 1996; and OECD trade from 1986 through 1996. 4 figs., 46 tabs.

  2. International petroleum statistics report, August 1995

    SciTech Connect (OSTI)

    NONE

    1995-08-25T23:59:59.000Z

    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.

  3. International petroleum statistics report, September 1998

    SciTech Connect (OSTI)

    NONE

    1998-09-01T23:59:59.000Z

    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 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 46 tabs.

  4. International petroleum statistics report, December 1998

    SciTech Connect (OSTI)

    NONE

    1998-12-01T23:59:59.000Z

    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 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 46 tabs.

  5. International petroleum statistics report, April 1999

    SciTech Connect (OSTI)

    NONE

    1999-05-04T23:59:59.000Z

    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 fore 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 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 48 tabs.

  6. International petroleum statistics report, May 1998

    SciTech Connect (OSTI)

    NONE

    1998-05-01T23:59:59.000Z

    The International Petroleum Statistics report is a monthly publication that provides current international oil data. It presents data on international 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 year. 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 1997; OECD stocks from 1973 through 1997, and OECD trade from 1987 through 1997. 4 fig., 48 tabs.

  7. International petroleum statistics report, June 1999

    SciTech Connect (OSTI)

    NONE

    1999-06-01T23:59:59.000Z

    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 1990, 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 and annually for the three years prior to that. 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 1998; OECD stocks from 1973 through 1998; and OECD trade from 1988 through 1998. 4 figs., 46 tabs.

  8. International petroleum statistics report, September 1994

    SciTech Connect (OSTI)

    Not Available

    1994-09-01T23:59:59.000Z

    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 (ECD). 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 1993; OECD stocks from 1973 through 1993; and OECD trade from 1983 through 1993.

  9. International petroleum statistics report, March 1999

    SciTech Connect (OSTI)

    NONE

    1999-03-01T23:59:59.000Z

    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 1990, 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 and annually for the three years prior to that. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarter data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series 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 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 48 tabs.

  10. International petroleum statistics report, June 1997

    SciTech Connect (OSTI)

    NONE

    1997-06-01T23:59:59.000Z

    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 1996; OECD stocks from 1973 through 1996; and OECD trade from 1986 through 1996. 46 tabs.

  11. International petroleum statistics report, May 1999

    SciTech Connect (OSTI)

    NONE

    1999-05-01T23:59:59.000Z

    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 1990, 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 1998; OECD stocks from 1973 through 1998; and OECD trade from 1988 through 1998. 4 figs., 48 tabs.

  12. International petroleum statistics report, February 1997

    SciTech Connect (OSTI)

    NONE

    1997-02-01T23:59:59.000Z

    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. 4 figs., 47 tabs.

  13. International petroleum statistics report, April 1997

    SciTech Connect (OSTI)

    NONE

    1997-04-01T23:59:59.000Z

    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. Section3 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. 4 figs., 47 tabs.

  14. International petroleum statistics report, September 1996

    SciTech Connect (OSTI)

    NONE

    1996-09-27T23:59:59.000Z

    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.

  15. International petroleum statistics report, August 1994

    SciTech Connect (OSTI)

    Not Available

    1994-08-26T23:59:59.000Z

    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 1993; OECD stocks from 1973 through 1993; and OECD trade from 1983 through 1993.

  16. International petroleum statistics report, April 1998

    SciTech Connect (OSTI)

    NONE

    1998-04-01T23:59:59.000Z

    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 1997; OECD stocks from 1973 through 1997; and OECD trade from 1986 through 1996. 4 figs., 46 tabs.

  17. International petroleum statistics report, June 1998

    SciTech Connect (OSTI)

    NONE

    1998-06-01T23:59:59.000Z

    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 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 48 tabs.

  18. International petroleum statistics report, February 1998

    SciTech Connect (OSTI)

    NONE

    1998-02-01T23:59:59.000Z

    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 1996; OECD stocks from 1973 through 1996; and OECD trade from 1986 through 1996. 4 figs., 48 tabs.

  19. International petroleum statistics report, September 1995

    SciTech Connect (OSTI)

    NONE

    1995-09-01T23:59:59.000Z

    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. 4 figs., 45 tabs.

  20. International petroleum statistics report, November 1998

    SciTech Connect (OSTI)

    NONE

    1998-11-01T23:59:59.000Z

    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 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 46 tabs.

  1. International petroleum statistics report, January 1999

    SciTech Connect (OSTI)

    NONE

    1999-01-01T23:59:59.000Z

    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 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 46 tabs.

  2. International petroleum statistics report, August 1998

    SciTech Connect (OSTI)

    NONE

    1998-08-01T23:59:59.000Z

    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 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 48 tabs.

  3. A Statistical Solar Flare Forecast Method

    E-Print Network [OSTI]

    M. S. Wheatland

    2005-05-14T23:59:59.000Z

    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.

  4. International petroleum statistics report, February 1999

    SciTech Connect (OSTI)

    NONE

    1999-02-01T23:59:59.000Z

    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--1997; OECD stocks from 1973--1997; and OECD trade from 1987--1997.

  5. International petroleum statistics report, March 1994

    SciTech Connect (OSTI)

    NONE

    1994-03-28T23:59:59.000Z

    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 1992; OECD stocks from 1973 through 1992; and OECD trade from 1982 through 1992.

  6. A Statistical Physics Perspective on Web Growth

    E-Print Network [OSTI]

    P. L. Krapivsky; S. Redner

    2002-06-07T23:59:59.000Z

    Approaches from statistical physics are applied to investigate the structure of network models whose growth rules mimic aspects of the evolution of the world-wide web. We first determine the degree distribution of a growing network in which nodes are introduced one at a time and attach to an earlier node of degree k with rate A_ksim k^gamma. Very different behaviors arise for gamma1. We also analyze the degree distribution of a heterogeneous network, the joint age-degree distribution, the correlation between degrees of neighboring nodes, as well as global network properties. An extension to directed networks is then presented. By tuning model parameters to reasonable values, we obtain distinct power-law forms for the in-degree and out-degree distributions with exponents that are in good agreement with current data for the web. Finally, a general growth process with independent introduction of nodes and links is investigated. This leads to independently growing sub-networks that may coalesce with other sub-networks. General results for both the size distribution of sub-networks and the degree distribution are obtained.

  7. Statistical Hot Channel Analysis for the NBSR

    SciTech Connect (OSTI)

    Cuadra A.; Baek J.

    2014-05-27T23:59:59.000Z

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

  8. Nuclear EMC Effect in a Statistical Model

    E-Print Network [OSTI]

    Yunhua Zhang; Lijing Shao; Bo-Qiang Ma

    2009-09-02T23:59:59.000Z

    A simple statistical model in terms of light-front kinematic variables is used to explain the nuclear EMC effect in the range $x \\in [0.2,~0.7]$, which was constructed by us previously to calculate the parton distribution functions (PDFs) of the nucleon. Here, we treat the temperature $T$ as a parameter of the atomic number $A$, and get reasonable results in agreement with the experimental data. Our results show that the larger $A$, the lower $T$ thus the bigger volume $V$, and these features are consistent with other models. Moreover, we give the predictions of the quark distribution ratios, \\emph{i.e.}, $q^A(x) / q^D(x)$, $\\bar{q}^A(x) / \\bar{q}^D(x)$, and $s^A(x) / s^D(x)$, and also the gluon ratio $g^A(x) / g^D(x)$ for iron as an example. The predictions are different from those by other models, thus experiments aiming at measuring the parton ratios of antiquarks, strange quarks, and gluons can provide a discrimination of different models.

  9. Protein Folding: A Perspective From Statistical Physics

    E-Print Network [OSTI]

    Jinzhi Lei; Kerson Huang

    2010-02-26T23:59:59.000Z

    In this paper, we introduce an approach to the protein folding problem from the point of view of statistical physics. Protein folding is a stochastic process by which a polypeptide folds into its characteristic and functional 3D structure from random coil. The process involves an intricate interplay between global geometry and local structure, and each protein seems to present special problems. We introduce CSAW (conditioned self-avoiding walk), a model of protein folding that combines the features of self-avoiding walk (SAW) and the Monte Carlo method. In this model, the unfolded protein chain is treated as a random coil described by SAW. Folding is induced by hydrophobic forces and other interactions, such as hydrogen bonding, which can be taken into account by imposing conditions on SAW. Conceptually, the mathematical basis is a generalized Langevin equation. To illustrate the flexibility and capabilities of the model, we consider several examples, including helix formation, elastic properties, and the transition in the folding of myoglobin. From the CSAW simulation and physical arguments, we find a universal elastic energy for proteins, which depends only on the radius of gyration $R_{g}$ and the residue number $N$. The elastic energy gives rise to scaling laws $R_{g}\\sim N^{\

  10. International petroleum statistics report, July 1998

    SciTech Connect (OSTI)

    NONE

    1998-07-01T23:59:59.000Z

    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 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 46 tabs.

  11. Statistical pressure snakes based on color images.

    SciTech Connect (OSTI)

    Schaub, Hanspeter [ORION International Technologies, Albuquerque, NM

    2004-05-01T23:59:59.000Z

    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.

  12. BE.011J Statistical Thermodynamics of Biomolecular Systems, Spring 2004

    E-Print Network [OSTI]

    Hamad-Schifferli, Kimberly

    This course provides an introduction to the physical chemistry of biological systems. Topics include: connection of macroscopic thermodynamic properties to microscopic molecular properties using statistical mechanics, ...

  13. REVSTAT Statistical Journal Volume 9, Number 3, November 2011, 227245

    E-Print Network [OSTI]

    Alves, Maria Isabel Fraga

    Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran Zahra Department of Statistics, Allameh Tabataba'i University, Tehran, Iran nematollahi@atu.ac.ir Z. Meghnatisi

  14. Statistical and Domain Analytics Applied to PV Module Lifetime...

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

    Degradation Science Statistical and Domain Analytics Applied to PV Module Lifetime and Degradation Science Presented at the PV Module Reliability Workshop, February 26 - 27...

  15. axenic cultures statistical: Topics by E-print Network

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

    et Skills Development Canada Dveloppement des comptences Canada Culture,Tourism and the Centre for Education Statistics about this product or the wide range of...

  16. Forecasting Dangerous Inmate Misconduct: An Applications of Ensemble Statistical Procedures

    E-Print Network [OSTI]

    Richard A. Berk; Brian Kriegler; Jong-Ho Baek

    2011-01-01T23:59:59.000Z

    of Ensemble Statistical Procedures ? Richard A. Berk Brianpopular classi?cation procedures do no better than theand employ classi?cation procedures that identify inmates

  17. Learning Statistics Using Motivational Videos, Real Data and Free Software

    E-Print Network [OSTI]

    Harraway, John A

    2012-01-01T23:59:59.000Z

    lessons associated with each video; the nineteen researchersAll Odds: Inside Statistics. Video Series Produced by COMAPStatistics Using Motivational Videos, Real Data and Free

  18. 6.728 Applied Quantum and Statistical Physics, Fall 2002

    E-Print Network [OSTI]

    Bulovic, Vladimir, 1970-

    Elementary quantum mechanics and statistical physics. Introduces applied quantum physics. Emphasizes experimental basis for quantum mechanics. Applies Schrodinger's equation to the free particle, tunneling, the harmonic ...

  19. Statistically downscaling from an Earth System Model of Intermediate

    E-Print Network [OSTI]

    Feigon, Brooke

    Statistically downscaling from an Earth System Model of Intermediate Complexity to reconstruct past Earth System Models of Intermediate Complexity (EMICs) have the advantage of allowing transient

  20. Statistics of spikes trains, synaptic plasticity and Gibbs distributions

    E-Print Network [OSTI]

    B. Cessac; H. Rostro; J. C. Vasquez; T. Viville

    2008-10-22T23:59:59.000Z

    We introduce a mathematical framework where the statistics of spikes trains, produced by neural networks evolving under synaptic plasticity, can be analysed.

  1. Statistics of particle time-temperature histories.

    SciTech Connect (OSTI)

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

    2014-10-01T23:59:59.000Z

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

  2. Statistical theory of turbulent incompressible multimaterial flow

    SciTech Connect (OSTI)

    Kashiwa, B.

    1987-10-01T23:59:59.000Z

    Interpenetrating motion of incompressible materials is considered. ''Turbulence'' is defined as any deviation from the mean motion. Accordingly a nominally stationary fluid will exhibit turbulent fluctuations due to a single, slowly moving sphere. Mean conservation equations for interpenetrating materials in arbitrary proportions are derived using an ensemble averaging procedure, beginning with the exact equations of motion. The result is a set of conservation equations for the mean mass, momentum and fluctuational kinetic energy of each material. The equation system is at first unclosed due to integral terms involving unknown one-point and two-point probability distribution functions. In the mean momentum equation, the unclosed terms are clearly identified as representing two physical processes. One is transport of momentum by multimaterial Reynolds stresses, and the other is momentum exchange due to pressure fluctuations and viscous stress at material interfaces. Closure is approached by combining careful examination of multipoint statistical correlations with the traditional physical technique of kappa-epsilon modeling for single-material turbulence. This involves representing the multimaterial Reynolds stress for each material as a turbulent viscosity times the rate of strain based on the mean velocity of that material. The multimaterial turbulent viscosity is related to the fluctuational kinetic energy kappa, and the rate of fluctuational energy dissipation epsilon, for each material. Hence a set of kappa and epsilon equations must be solved, together with mean mass and momentum conservation equations, for each material. Both kappa and the turbulent viscosities enter into the momentum exchange force. The theory is applied to (a) calculation of the drag force on a sphere fixed in a uniform flow, (b) calculation of the settling rate in a suspension and (c) calculation of velocity profiles in the pneumatic transport of solid particles in a pipe.

  3. BP Statistical Review of World Energy

    E-Print Network [OSTI]

    production 40 Primary energy 40 Consumption 41 Consumption by fuel 44 Appendices 44 Approximate conversion Other renewables consumption 39 Biofuels production Primary energy 40 Consumption 41 Consumption by fuel Trade movements 30 Coal 30 Reserves and prices 32 Production and consumption 35 Nuclear energy 35

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

    E-Print Network [OSTI]

    Mora, Thierry

    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

  5. Exploring Reliability for Automatic Identity Verification with Statistical Shape Models

    E-Print Network [OSTI]

    Frangi, Alejandro

    Exploring Reliability for Automatic Identity Verification with Statistical Shape Models Federico M reliability measure of the result. In fact, the segmentation process is One ofthe drawbacks ofstatistical to a wrong result [4]. generic reliability measure for statistical shape models. It This problem

  6. On some statistical aspects of software testing and reliability

    E-Print Network [OSTI]

    Coolen, Frank

    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

  7. FROM MACDONALD POLYNOMIALS TO A CHARGE STATISTIC BEYOND TYPE A

    E-Print Network [OSTI]

    Lenart, Cristian

    FROM MACDONALD POLYNOMIALS TO A CHARGE STATISTIC BEYOND TYPE A CRISTIAN LENART Abstract. The charge Lie types, based on the recent Ram-Yip formula for Macdonald polynomials and the quantum Bruhat order, and in type C we obtain a new statistic. This method is based on the theory of Macdonald polynomials and

  8. QUEEN'S UNIVERSITY STAT 267/367 Engineering Statistics

    E-Print Network [OSTI]

    Offin, Dan

    QUEEN'S UNIVERSITY STAT 267/367 Engineering Statistics Winter, 2009 Instructor: Charles Molson, Jeffery 216 cmolson@mast.queensu.ca 613-544-5532 (ext.1642) Text: Engineering Statistics 4th Edition, by D will be dropped when calculating the quiz portion of the final grade. You can logon to the course WebCT site

  9. Statistical estimation of multiple faults in aircraft gas turbine engines

    E-Print Network [OSTI]

    Ray, Asok

    415 Statistical estimation of multiple faults in aircraft gas turbine engines S Sarkar, C Rao of multiple faults in aircraft gas-turbine engines, based on a statistical pattern recognition tool called commercial aircraft engine. Keywords: aircraft propulsion, gas turbine engines, multiple fault estimation

  10. Statistical Approaches to Fault Analysis in Multivariate Process Control

    E-Print Network [OSTI]

    Ungar, Lyle H.

    Statistical Approaches to Fault Analysis in Multivariate Process Control Richard D. De Veaux Lyle H Abstract After a brief review of some statistical approaches to multivariate process control, we present analysis or partial least squares to limit the number of latent variables to study. While using historical

  11. CRACK STATISTIC OF CRYSTALLINE SILICON PHOTOVOLTAIC MODULES M. Kntges1

    E-Print Network [OSTI]

    the risk of cracks, as well as for statistical power loss assessment. Keywords: PV module, micro cracks separation, thus resulting in inactive cell parts. For this special case a clear assessment of the power loss this gap and provide a first statistic of cracks in PV modules for future power loss assessment

  12. Connections on statistical manifolds of density operators by geometry of

    E-Print Network [OSTI]

    Isola, Tommaso

    of statistical manifolds, that is of manifolds whose points can be identified with density functions with respect to a certain measure µ. The classical references for the theory can be found in the books [1, 2, 4Connections on statistical manifolds of density operators by geometry of noncommutative Lp -spaces

  13. Python for Unified Research in Econometrics and Statistics Roseline Bilina

    E-Print Network [OSTI]

    Boyer, Edmond

    Python for Unified Research in Econometrics and Statistics Roseline Bilina Steve Lawford Cornell-alone applications in econometrics and statistics, and as a tool for gluing different applications together. (It methods and programming), C87 (Econometric software), C88 (Other computer software). Keywords: Object

  14. Working Paper 03-24 Statistics and Econometrics Series 05

    E-Print Network [OSTI]

    Ortega, Esther Ruiz

    Working Paper 03-24 Statistics and Econometrics Series 05 April 2003 Departamento de Estadstica y complex to be realistic, the Econometrics needed to estimate them are more difficult. Consequently, Statistics and Econometrics Department, University Carlos III of Madrid, C/ Madrid 126 28903 Getafe (Madrid

  15. Decaying $?$ cosmologies and statistical properties of gravitational lenses

    E-Print Network [OSTI]

    L. F. Bloomfield Torres; I. Waga

    1995-05-01T23:59:59.000Z

    In this paper we investigate the statistical properties of gravitational lenses for models in which a cosmological term decreases with time as $\\Lambda \\propto a^{-m}$, where $a$ is the scale factor and $m$ is a parameter ($0 \\leq m }{\\sim}2$ have high likelihood to reproduce the observed lens statistics in the HST snapshot survey.

  16. 4 A Statistical Perspective on Knowledge Discovery in Databases

    E-Print Network [OSTI]

    Boetticher, Gary D.

    methods. Following ideas of G. E. P. Box and J. W. Tukey, Huber 1964 and Hampel 1974 formalized the notion characterizes the notion that statistical insights and modeling are driven by data. John Tukey 1977; Mosteller and Tukey, 1Basically re ecting R. A. Fisher's insight Statistical Methods for Researchers, 1924

  17. Statistical Prediction Based on Censored Life Data Luis A. Escobar

    E-Print Network [OSTI]

    Statistical Prediction Based on Censored Life Data Luis A. Escobar Dept. of Experimental Statistics life data to construct prediction bounds or intervals for future outcomes. Both new­sample prediction (e.g., using data from a previous sample to make predictions on the future failure time of a new unit

  18. Statistical Prediction Based on Censored Life Data Luis A. Escobar

    E-Print Network [OSTI]

    Statistical Prediction Based on Censored Life Data Luis A. Escobar Dept. of Experimental Statistics life data to construct prediction bounds or intervals for future outcomes. Both new-sample prediction (e.g., using data from a previous sample to make predictions on the future failure time of a new unit

  19. 1997 by M. Kostic Ch.4: Probability and Statistics

    E-Print Network [OSTI]

    Kostic, Milivoje M.

    1 ©1997 by M. Kostic Ch.4: Probability and Statistics Variations due to: · Measurement System. ©1997 by M. Kostic Statistical Measurement Theory · Sample - a set of measured data · Measurand - measured variable · (True) mean value: (x') xmean #12;2 ©1997 by M. Kostic Mean Value and Uncertainty x

  20. Mathematical and Statistical Opportunities in Cyber Security Scott Campbell

    E-Print Network [OSTI]

    Bailey, David H.

    Mathematical and Statistical Opportunities in Cyber Security Juan Meza Scott Campbell David Bailey problems exist within cyber security research that can be helped by advanced mathematics and statistics large and complex systems like the Internet. Our second assumption is that many proposed cyber security

  1. Hot neutron star in generalized thermo-statistics

    E-Print Network [OSTI]

    Hot neutron star in generalized thermo-statistics K. Miyazaki E-mail: miyazakiro@rio.odn.ne.jp Abstract The hot neutron star (NS) is investigated for the ...rst time in the generalized thermo-statistics. The study of neutron star (NS) is an important subject in nuclear physics and astro- physics. The equation

  2. Data Mining: Statistics and More? David J. HAND

    E-Print Network [OSTI]

    Weiss, Gary

    hope vainly struggling against the cold realities of chance. To other researchers, however, the term that the commercial, industrial, and David J. Hand is Professor of Statistics, Department of Statistics, The Open many millions or even billions of records. Moreover, special storage and manipulation techniques

  3. Landscape statistics of the low autocorrelated binary string problem

    E-Print Network [OSTI]

    Stadler, Peter F.

    Landscape statistics of the low autocorrelated binary string problem Fernando F. Ferreiraa , Jos, NM 87501, USA Abstract. The statistical properties of the energy landscape of the low autocorrelated disordered models. Using two global measures of landscape structure which have been introduced

  4. Landscape statistics of the low autocorrelated binary string problem

    E-Print Network [OSTI]

    Stadler, Peter F.

    Landscape statistics of the low autocorrelated binary string problem Fernando F. Ferreira a , Jos, NM 87501, USA Abstract. The statistical properties of the energy landscape of the low autocorrelated disordered models. Using two global measures of landscape structure which have been introduced

  5. Frederi G. Viens Professor of Statistics and Mathematics

    E-Print Network [OSTI]

    Viens, Frederi G.

    Defense Science and Engineering Graduate Fellow, U.C. Irvine 1996 U.C. Irvine Connely Award for best Society, member 2013 Institute of Mathematical Statistics, Fellow 2013 Purdue College of Science Research, Statistics. Undergrad upper division: Discrete mathematics, Linear Algebra, Intermediate probability

  6. Frederi G. Viens Professor of Statistics and Mathematics

    E-Print Network [OSTI]

    Viens, Frederi G.

    history on page 13) 19921996 National Defense Science and Engineering Graduate Fellow, U.C. Irvine 1996 U calculus, Elementary Probability, Elementary Statistics. Undergraduate upper division: Discrete mathematics, Linear Algebra, Intermediate probability and statistics, Real Analysis, Actuarial Models (life

  7. Frederi G. Viens Professor of Statistics and Mathematics

    E-Print Network [OSTI]

    Viens, Frederi G.

    history on page 13) 1992-1996 National Defense Science and Engineering Graduate Fellow, U.C. Irvine 1996 U calculus, Elementary Probability, Elementary Statistics. Undergraduate upper division: Discrete mathematics, Linear Algebra, Intermediate probability and statistics, Real Analysis, Actuarial Models (life

  8. 29 National Statistics Population Trends 106 Winter 2001

    E-Print Network [OSTI]

    Jones, Peter JS

    provided by the Office for National Statistics on migra- tion of the employed by citizenship.They indicate29 National Statistics Population Trends 106 Winter 2001 International migration to and from the United Kingdom since 1975, with a particular focus on those in employment,and drew on many sources

  9. Pavel M. Lushnikov Department of Mathematics and Statistics

    E-Print Network [OSTI]

    Lushnikov, Pavel

    RESUM´E Pavel M. Lushnikov Department of Mathematics and Statistics MSC01 1115 University of New of the Russian Academy of Sciences, e-mail: kuznetso[at]itp.ac.ru). Employment: 2012­Present Professor, Department of Mathematics and Statistics, Univer- sity of New Mexico 2006­Present Associated Member, Landau

  10. Computational pproach to the Statistical echanics of rotein ol ing

    E-Print Network [OSTI]

    Istrail, Sorin

    , 1995 bstract A statistical mechanical approach to the protein folding problem is devel- oped based of the statistical mechanics of protein folding by com- puter simulation. Even though we have taken advantage of new". A theoretical understanding of the protein-folding problem, i.e. how proteins fold to their native states from

  11. A Statistical Framework for Microbial Source Attribution

    SciTech Connect (OSTI)

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

    2009-04-28T23:59:59.000Z

    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.

  12. MATH/STAT 352: Probability and Statistics -Summer 2013 Department of Mathematics and Statistics, University of Nevada Reno

    E-Print Network [OSTI]

    Kozubowski, Tomasz J.

    MATH/STAT 352: Probability and Statistics - Summer 2013 Department of Mathematics and Statistics Course Description MATH/STAT 352 is a calculus-based introduction to the basic ideas of probability Server at http://www.knowledgecenter.unr.edu/dataworks/citrixinfo.html with your Net ID. The knowledge

  13. MATH/STAT 352: Probability and Statistics -Summer 2014 Department of Mathematics and Statistics, University of Nevada Reno

    E-Print Network [OSTI]

    Kozubowski, Tomasz J.

    MATH/STAT 352: Probability and Statistics - Summer 2014 Department of Mathematics and Statistics Course Description MATH/STAT 352 is a calculus-based introduction to the basic ideas of probability Server at http://www.knowledgecenter.unr.edu/dataworks/citrixinfo.html with your Net ID. The knowledge

  14. MATH/STAT 352: Probability and Statistics -Summer 2012 Department of Mathematics and Statistics, University of Nevada Reno

    E-Print Network [OSTI]

    Kozubowski, Tomasz J.

    MATH/STAT 352: Probability and Statistics - Summer 2012 Department of Mathematics and Statistics Course Description MATH/STAT 352 is a calculus-based introduction to the basic ideas of probability Server at http://www.knowledgecenter.unr.edu/dataworks/citrixinfo.html with your Net ID. The knowledge

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

    E-Print Network [OSTI]

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

  16. Statistical Anisotropies in Gravitational Waves in Solid Inflation

    E-Print Network [OSTI]

    Mohammad Akhshik; Razieh Emami; Hassan Firouzjahi; Yi Wang

    2014-05-16T23:59:59.000Z

    Solid inflation can support a long period of anisotropic inflation. We calculate the statistical anisotropies in the scalar and tensor power spectra and their cross-correlation in anisotropic solid inflation. The tensor-scalar cross-correlation can either be positive or negative, which impacts the statistical anisotropies of the TT and TB spectra in CMB map more significantly compared with the tensor self-correlation. The tensor power spectrum contains potentially comparable contributions from quadrupole and octopole angular patterns, which is different from the power spectra of scalar, the cross-correlation or the scalar bispectrum, where the quadrupole type statistical anisotropy dominates over octopole.

  17. Statistical Tools for Analyzing the Cosmic Ray Energy Spectrum

    E-Print Network [OSTI]

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

    2008-08-20T23:59:59.000Z

    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.

  18. Asymptotically pivotal statistic for surrogate testing with extended hypothesis

    E-Print Network [OSTI]

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

    2007-01-02T23:59:59.000Z

    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.

  19. Quantum spectrum and statistic entropy of black hole

    E-Print Network [OSTI]

    Zhao Ren; Li Huaifan; Zhang Shengli

    2006-10-16T23:59:59.000Z

    Taking the horizon surface of the black hole as a compact membrane and solving the oscillation equation of this membrane by Klein-Gordon equation, we derive the frequencies of oscillation modes of the horizon surface, which are proportional to the radiation temperature of the black hole. However, the frequencies of oscillation modes are not equidistant. Using the distribution of obtained frequencies of oscillation mode we compute the statistic entropy of the black hole and obtain that the statistic entropy of the black hole is proportional to the area of the horizon. Therefore, it is proven that the quantum statistic entropy of the black hole is consistent with Bekenstein-Hawking entropy.

  20. Economics, Mathematics, Statistics MONTANA STATE UNIVERSITY BOZEMAN MOUNTAINS & MINDS

    E-Print Network [OSTI]

    Dyer, Bill

    Economics, Mathematics, Statistics MONTANA STATE UNIVERSITY BOZEMAN MOUNTAINS & MINDS Economics The Department of Agricultural Economics and Economics offers a broad education involving the domestic, and for graduate study in economics and in related fields including business administra- tion, finance, public

  1. Baseballs and Barrels: World Statistics Day | Department of Energy

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

    titles than the National League? Yes. Does Saudi Arabia produce more crude oil than Russia? No. How do I know? Statistics. The month of October not only marks the beginning of...

  2. Application of statistical learning theory to plankton image analysis

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

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

  3. Statistical Methods for Enhanced Metrology in Semiconductor/Photovoltaic Manufacturing

    E-Print Network [OSTI]

    Zeng, Dekong

    2012-01-01T23:59:59.000Z

    statistical process control (SPC) charts. The concept is toMethods Multivariate SPC charts utilize high dimensionalThe limits for a multivariate SPC chart can be defined with

  4. Testing Spin-Statistics Connection by Highly Sensitive Spectroscopy

    E-Print Network [OSTI]

    Shy,Jow-Tsong

    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

  5. Statistical Decisions Using Likelihood Information Without Prior Probabilities

    E-Print Network [OSTI]

    Giang, Phan H.; Shenoy, Prakash P.

    2002-08-01T23:59:59.000Z

    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 ...

  6. Physics 112 Thermodynamics and Statistical Physics Winter 2000 COURSE OUTLINE

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    Physics 112 Thermodynamics and Statistical Physics Winter 2000 COURSE OUTLINE TOPIC READINGS 1 and probability theory can be found in Chapter 16 of Mathematical Methods in the Physical Sciences, by Mary L

  7. School Of Mathematics and Statistics Single Honours Mathematics

    E-Print Network [OSTI]

    1 School Of Mathematics and Statistics Single Honours Mathematics BSc Mathematics MMath Mathematics BSc Financial Mathematics MMath Mathematics with French Language MMath Mathematics with German Language MMath Mathematics with Spanish Language BSc Mathematics with Study in Europe MMath Mathematics

  8. Eutrophication risk assessment in coastal embayments using simple statistical models

    E-Print Network [OSTI]

    Arhonditsis, George B.

    Eutrophication risk assessment in coastal embayments using simple statistical models G. Arhonditsis for assessing the risk of eutrophication in marine coastal embayments. The procedure followed of exogenous nutrient loading. ? 2003 Elsevier Ltd. All rights reserved. Keywords: Eutrophication; Coastal

  9. Data analysis using the Gnu R system for statistical computation

    SciTech Connect (OSTI)

    Simone, James; /Fermilab

    2011-07-01T23:59:59.000Z

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

  10. Wavelet methods and statistical applications: network security and bioinformatics

    E-Print Network [OSTI]

    Kwon, Deukwoo

    2005-11-01T23:59:59.000Z

    Wavelet methods possess versatile properties for statistical applications. We would like to explore the advantages of using wavelets in the analyses in two different research areas. First of all, we develop an integrated tool for online detection...

  11. AN EDGEWORTH EXPANSION FOR SYMMETRIC FINITE POPULATION STATISTICS

    E-Print Network [OSTI]

    Bielefeld, University of

    ; 2 M. BLOZNELIS, F. G ¨ OTZE in the Erd�os­R'enyi central limit theorem was studied by Bikelis (1972 asymptotically normal symmetric statistics of independent and identically distributed observations was developed

  12. Statistical mechanics of non-Markovian exclusion processes

    E-Print Network [OSTI]

    Concannon, Robert James

    2014-06-28T23:59:59.000Z

    The Totally Asymmetric Simple Exclusion Process (TASEP) is often considered one of the fundamental models of non-equilibrium statistical mechanics, due to its well understood steady state and the fact that it can exhibit ...

  13. Statistical Error in Particle Simulations of Low Mach Number Flows

    E-Print Network [OSTI]

    Hadjiconstantinou, Nicolas G.

    We present predictions for the statistical error due to finite sampling in the presence of thermal fluctuations in molecular simulation algorithms. Expressions for the fluid velocity, density and temperature are derived ...

  14. Water Vapor Turbulence Statistics in the Convective Boundary...

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

    This study presented the first long-term data set of variance and skewness turbulent statistic profiles in the CBL, spanning a range of seasons and environmental conditions. These...

  15. Statistical analysis of Single Nucleotide Polymorphism microarrays in cancer

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Statistical analysis of Single Nucleotide Polymorphism microarrays in cancer studies Pierre Neuvial Nucleotide Polymorphism (SNP) arrays. We define the copy number states formally, and show how Nucleotide Polymorphism microarrays in cancer studies

  16. The Annals of Statistics 2005, Vol. 33, No. 2, 871914

    E-Print Network [OSTI]

    Goldstein, Larry

    The Annals of Statistics 2005, Vol. 33, No. 2, 871­914 DOI 10.1214/009053604000000706 © Institute matching. 871 #12;872 R. ARRATIA, L. GOLDSTEIN AND B. LANGHOLZ or compared to -blockers, a finding that has

  17. 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

  18. Energy conservation, counting statistics, and return to equilibrium

    E-Print Network [OSTI]

    Jaksic, Vojkan

    Energy conservation, counting statistics, and return to equilibrium V. Jaksi´c1 , J. Panangaden1 lim t QS(, t), QR = lim 0 lim t QR(, t). As a consequence of energy conservation, we expect that QS

  19. Statistical Image Reconstruction Algorithms Using Paraboloidal Surrogates for PET Transmission

    E-Print Network [OSTI]

    Fessler, Jeffrey A.

    Statistical Image Reconstruction Algorithms Using Paraboloidal Surrogates for PET Transmission Reconstruction Algorithms Using Paraboloidal Surrogates for PET Transmission Scans by Hakan Erdogan Chair: Jeffrey A. Fessler Positron Emission Tomography (PET) is a diagnostic imaging tool that provides images

  20. aggrecans statistical thermodynamic: Topics by E-print Network

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

    15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Thermodynamics for Fractal Statistics HEP - Theory (arXiv) Summary: We consider for an anyon gas its...

  1. Photovoltaic Lifetime & Degradation Science Statistical Pathway Development: Acrylic Degradation

    E-Print Network [OSTI]

    Rollins, Andrew M.

    Photovoltaic Lifetime & Degradation Science Statistical Pathway Development: Acrylic Degradation, USA ABSTRACT In order to optimize and extend the life of photovoltaics (PV) modules, scientific photovoltaics. The statisti- cally significant relationships were investigated using lifetime and degradation

  2. Hal L. Smith School of Mathematical and Statistical Sciences

    E-Print Network [OSTI]

    Smith, Hal

    VITA Hal L. Smith School of Mathematical and Statistical Sciences Arizona State University Tempe of delay chemostat models". Smith, Ed, MA, Aug. 1998, "Effects of random motility on steady state

  3. analysis sampling statistics: Topics by E-print Network

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

    bounds point out a difficu... Blum, A S; Blum, Avrim; Yang, Ke 2003-01-01 39 Statistical Energy Analysis 2 Long. 3 Long. Energy Storage, Conversion and Utilization Websites...

  4. VISCOELASTICITY OF BIOPOLYMER NETWORKS AND STATISTICAL MECHANICS OF

    E-Print Network [OSTI]

    Frey, Erwin

    VISCOELASTICITY OF BIOPOLYMER NETWORKS AND STATISTICAL MECHANICS OF SEMIFLEXIBLE POLYMERS Erwin scattering . . . . . . . . . . . . . . . . . 11 II.C.2 Colloidal probes and micro-rheology . . . . . . . . . . . 14 IIIVISCOELASTICTY OF BIOPOLYMER NETWORKS 15 III.AExperimental techniques and results

  5. Using statistical information to improve communication in MIMO networks

    E-Print Network [OSTI]

    Ghosh, Sagnik

    2012-01-01T23:59:59.000Z

    5.5.2 Scheduling, Power Control, and Beamforming Al-J.R. Zeidler, Scheduling and Power Control in StatisticalAlgorithm for Scheduling and Power Control with Power

  6. The Cost of Conserved Energy As An Investment Statistic

    E-Print Network [OSTI]

    Meier, A. K.

    1984-01-01T23:59:59.000Z

    The cost of conserved energy (CCE) is an investment statistic that simplifies comparison of conservation measures among themselves and against competing energy supplies. A formula for calculating the cost of conserved energy formula is presented. A...

  7. Conditional and unconditional acceleration statistics in turbulence B. L. Sawforda)

    E-Print Network [OSTI]

    Yeung, P. K.

    particle is very difficult and has only recently been achieved in labo- ratory flows.2­6 Earlier simu- lations DNS 11­15 have made it possible to calculate accel- eration statistics directly

  8. 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...

  9. Statistical Science 2005, Vol. 20, No. 2, 178192

    E-Print Network [OSTI]

    Genest, Christian

    rate, Montreal Sanitary Association, mortality comparisons, public health, sanitation, standardized mortality ratio, statistical controversies. 1. INTRODUCTION Sanitation was a growing concern among social sta- tisticians of the mid-19th century. Poor health was tied to bad living conditions

  10. Statistical Error analysis of Nucleon-Nucleon phenomenological potentials

    E-Print Network [OSTI]

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

    2014-06-10T23:59:59.000Z

    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.

  11. Improving constraints on the neutrino mass using sufficient statistics

    E-Print Network [OSTI]

    Wolk, M; Bel, J; Carbone, C; Carron, J

    2015-01-01T23:59:59.000Z

    We use the "Dark Energy and Massive Neutrino Universe" (DEMNUni) simulations to compare the constraining power of "sufficient statistics" with the standard matter power spectrum on the sum of neutrino masses, $M_\

  12. Bidding strategies for renewable energy generation with non stationary statistics

    E-Print Network [OSTI]

    Giannitrapani, Antonello

    of optimizing energy bids for a photovoltaic (PV) power producer taking part into a competitive electricity]. In a market where penalties are applied whenever the delivered power deviates from the schedule, the optimal) and hydro are characterized by remark- able seasonal variations of power generation and exhibit

  13. Two-Sided Generalized Topp and Leone (TS-GTL) distributions Donatella Vicari, Department of Statistics, Probability and Applied Statistics, University of Rome

    E-Print Network [OSTI]

    van Dorp, Johan Ren

    of Statistics, Probability and Applied Statistics, University of Rome "La Sapienza", Rome, Italy. E Engineering, SchoolDepartment of of Engineering and Applied Science, The George Washington University, 1776 G of Statistics, Probability and Applied Statistics, University of Rome "La Sapienza", Rome, Italy 2 Corresponding

  14. An economic and statistical analysis of pecan prices

    E-Print Network [OSTI]

    Hertel, Karlene Sharon

    1979-01-01T23:59:59.000Z

    AN ECONOMIC AND STATISTICAL ANALYSIS OP PECAN PRICES A Thesis by KARLENE SHARON HERTEL Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the degree of NASTER OP SCIENCE August 1979 Maj... or Subject: Agricultural Economics AN ECONOMIC AND STATISTICAL ANALYSIS OF PECAN PRICES A Thesis by KARLENE SHARON HERTEL Approved as to style and content by: ( hairman of Committ ) ead of Depar ment) (Member) (Member) August 1979 ABSTRACT...

  15. Statistical Power-Law Spectra due to Reservoir Fluctuations

    E-Print Network [OSTI]

    T. S. Bir; G. G. Barnafldi; P. Vn; K. rmssy

    2014-04-04T23:59:59.000Z

    LHC ALICE data are interpreted in terms of statistical power-law tailed pT spectra. As explanation we derive such statistical distributions for particular particle number fluctuation patterns in a finite heat bath exactly, and for general thermodynamical systems in the subleading canonical expansion approximately. Our general result, $q = 1 - 1/C + \\Delta T^2 / T^2$, demonstrates how the heat capacity and the temperature fluctuation effects compete, and cancel only in the standard Gaussian approximation.

  16. Statistical Physics of 3D Hairy Black Holes

    E-Print Network [OSTI]

    A. Belhaj; M. Chabab; H. EL Moumni; K. Masmar; M. B. Sedra

    2014-12-29T23:59:59.000Z

    We investigate the statistical behaviors of 3D hairy black holes in the presence of a scalar field. The present study is made in terms of two relevant parameters: rotation parameter a and B parameter related to the scalar field. More precisely, we compute various statistical quantities including the partition function for non-charged and charged black hole solutions. Using a partition function calculation, we show that the probability is independent of a and B parameters.

  17. Statistics in the Landscape of Intersecting Brane Models

    E-Print Network [OSTI]

    Florian Gmeiner

    2008-03-24T23:59:59.000Z

    An approach towards a statistical survey of four dimensional supersymmetric vacua in the string theory landscape is described and illustrated with three examples of ensembles of intersecting D-brane models. The question whether it is conceivable to make predictions based on statistical distributions is discussed. Especially interesting in this context are possible correlations between low energy observables. As an example we look at correlations between properties of the gauge sector of intersecting D-brane models and Gepner model constructions.

  18. Holographic considerations on non-gaussian statistics and gravothermal catastrophe

    E-Print Network [OSTI]

    Abreu, Everton M C; Barboza, Edesio M; Nunes, Rafael da C

    2015-01-01T23:59:59.000Z

    In this paper we have derived the equipartition law of energy using Tsallis formalism and the Kaniadakis power law statistics in order to obtain a modified gravitational constant. We have applied this result in the gravothermal collapse phenomenon. We have discussed the equivalence between Tsallis and the Kaniadakis statistics in the context of Verlinde entropic formalism. In the same way we have analyzed negative heat capacities in the light of gravothermal catastrophe. The relative deviations of the modified gravitational constants are derived.

  19. Holographic considerations on non-gaussian statistics and gravothermal catastrophe

    E-Print Network [OSTI]

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

    2014-08-18T23:59:59.000Z

    In this paper we have derived the equipartition law of energy using Tsallis formalism and the Kaniadakis power law statistics in order to obtain a modified gravitational constant. We have applied this result in the gravothermal collapse phenomenon. We have discussed the equivalence between Tsallis and the Kaniadakis statistics in the context of Verlinde entropic formalism. In the same way we have analyzed negative heat capacities in the light of gravothermal catastrophe. The relative deviations of the modified gravitational constants are derived.

  20. Statistical exponential families: A digest with flash cards

    E-Print Network [OSTI]

    Nielsen, Frank

    2009-01-01T23:59:59.000Z

    This document describes concisely the ubiquitous class of exponential family distributions met in statistics. The first part recalls definitions and summarizes main properties and duality with Bregman divergences (all proofs are skipped). The second part lists decompositions and related formula of common exponential family distributions. We recall the Fisher-Rao-Riemannian geometries and the dual affine connection information geometries of statistical manifolds. It is intended to maintain and update this document and catalog by adding new distribution items.

  1. Columbia River Basin Seasonal Volumes and Statistics, 1928-1989. 1990 Level Modified Streamflows Computed Seasonal Volumes 61-Year Statistics.

    SciTech Connect (OSTI)

    A.G. Crook Company

    1993-04-01T23:59:59.000Z

    This report was prepared by the A.G. Crook Company, under contract to Bonneville Power Administration, and provides statistics of seasonal volumes and streamflow for 28 selected sites in the Columbia River Basin.

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

    E-Print Network [OSTI]

    Shapiro, Alex

    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

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

    E-Print Network [OSTI]

    Albert Satorra; Peter M. Bentler

    2011-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Satorra, Albert; Bentler, P M

    2008-01-01T23:59:59.000Z

    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.

  5. Fast Algorithms for Computing Statistics Under Interval and Fuzzy Uncertainty, and Their Applications

    E-Print Network [OSTI]

    Kreinovich, Vladik

    engineering applications, we are interested in computing statistics. For example, in environmental analysis, a reasonable statistic for estimating the mean value of a probability distribution is the population average EFast Algorithms for Computing Statistics Under Interval and Fuzzy Uncertainty

  6. An Introduction to Statistical Issues and Methods in Metrology for Physical Science and

    E-Print Network [OSTI]

    Vardeman, Stephen B.

    An Introduction to Statistical Issues and Methods in Metrology for Physical Science and Engineering (Ohio) August 5, 2011 Abstract Statistical science and physical metrology are inextricably intertwined of Measurement/Metrology . . . . . . . . . . . . 3 1.2 Probability and Statistics and Measurement

  7. An estimator for statistical anisotropy from the CMB bispectrum

    SciTech Connect (OSTI)

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

    2012-01-01T23:59:59.000Z

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

  8. A statistical derivation of non-relativistic quantum theory

    E-Print Network [OSTI]

    U. Klein

    2014-12-22T23:59:59.000Z

    A previous derivation of the single-particle Schr\\"odinger equation from statistical assumptions is generalized to an arbitrary number $N$ of particles moving in three-dimensional space. Spin and gauge fields are also taken into account. It is found that the same statistical assumptions that imply Schr\\"odinger's equation determine also the form of the gauge coupling terms, and the form of the corresponding local (Lorentz) forces. An explanation for the role of the electrodynamic potentials, as statistical representatives of the Lorentz force, is given. For a single particle, spin one-half is introduced as the property of a statistical ensemble to respond to an external gauge field in two different ways. A generalized calculation, using the twofold number of variables, leads to Pauli's equation. The new spin term is again the statistical representative of the corresponding local force. For a $N$-particle system, spin is introduced as a consequence of gauge coupling.The classical limit $\\hbar \\to 0$ of Schr\\"odinger's equation and closely related questions of interpretation of the quantum mechanical formalism are discussed.

  9. Statistical Design of Experiment for Li-ion Cell Formation Parameters...

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

    Statistical Design of Experiment for Li-ion Cell Formation Parameters using Gen3 Electrode Materials: Final Summary Statistical Design of Experiment for Li-ion Cell Formation...

  10. E-Print Network 3.0 - american statistical association Sample...

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

    of American Statistical Association, 96, 382- 397. (ii) Other significant Nychka, D., Wikle, C... Fields, Journal of the ... Source: Nychka, Douglas - Geophysical Statistics...

  11. Responding to the Risk of White Shark Attack Updated Statistics, Prevention, Control

    E-Print Network [OSTI]

    Klimley, A. Peter

    477 CHAPTER 31 Responding to the Risk of White Shark Attack Updated Statistics, Prevention, Control ................................................................................................................................... 478 White Shark Attack Statistics........................................................................................................ 479 Definition of Shark Attack

  12. 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...

  13. 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...

  14. E-Print Network 3.0 - advanced statistical methods Sample Search...

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

    statistical methods Search Powered by Explorit Topic List Advanced Search Sample search results for: advanced statistical methods Page: << < 1 2 3 4 5 > >> 1 STAT 665365:...

  15. 11.220 Quantitative Reasoning and Statistical Method for Planning I, Spring 2006

    E-Print Network [OSTI]

    Zegras, P. Christopher

    This course develops logical, empirically based arguments using statistical techniques and analytic methods. It covers elementary statistics, probability, and other types of quantitative reasoning useful for description, ...

  16. The Use of Graphics Calculator in a Matriculation Statistics Classroom: A Malaysian Perspective

    E-Print Network [OSTI]

    Krishnan, Saras; Idris, Noraini

    2013-01-01T23:59:59.000Z

    mathematics: Why graphics calculator? Proceedings of the 2Learning statistics with graphics calculator: A case study.Learning statistics with graphics calculator: Students

  17. A new development cycle of the Statistical Toolkit

    E-Print Network [OSTI]

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

    2012-01-01T23:59:59.000Z

    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.

  18. Statistical fractal analysis of 25 young star clusters

    E-Print Network [OSTI]

    Gregorio-Hetem, J; Santos-Silva, T; Fernandes, B

    2015-01-01T23:59:59.000Z

    A large sample of young stellar groups is analysed aiming to investigate their clustering properties and dynamical evolution. A comparison of the Q statistical parameter, measured for the clusters, with the fractal dimension estimated for the projected clouds shows that 52% of the sample has substructures and tends to follow the theoretically expected relation between clusters and clouds, according to calculations for artificial distribution of points. The fractal statistics was also compared to structural parameters revealing that clusters having radial density profile show a trend of parameter s increasing with mean surface stellar density. The core radius of the sample, as a function of age, follows a distribution similar to that observed in stellar groups of Milky Way and other galaxies. They also have dynamical age, indicated by their crossing time that is similar to unbound associations. The statistical analysis allowed us to separate the sample into two groups showing different clustering characteristi...

  19. Monitoring Software Reliability using Statistical Process control: An MMLE approach

    E-Print Network [OSTI]

    Prasad, R Satya; Kantam, R R L

    2011-01-01T23:59:59.000Z

    This paper consider an MMLE (Modified Maximum Likelihood Estimation) based scheme to estimate software reliability using exponential distribution. The MMLE is one of the generalized frameworks of software reliability models of Non Homogeneous Poisson Processes (NHPPs). The MMLE gives analytical estimators rather than an iterative approximation to estimate the parameters. In this paper we proposed SPC (Statistical Process Control) Charts mechanism to determine the software quality using inter failure times data. The Control charts can be used to measure whether the software process is statistically under control or not.

  20. Statistics and Discoveries at the LHC (2/4)

    ScienceCinema (OSTI)

    None

    2011-10-06T23:59:59.000Z

    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.

  1. System and method for statistically monitoring and analyzing sensed conditions

    DOE Patents [OSTI]

    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

    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.

  2. System and method for statistically monitoring and analyzing sensed conditions

    DOE Patents [OSTI]

    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

    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.

  3. Statistics of multiphoton events in spontaneous parametric down-conversion

    E-Print Network [OSTI]

    Wojciech Wasilewski; Czeslaw Radzewicz; Robert Frankowski; Konrad Banaszek

    2008-05-12T23:59:59.000Z

    We present an experimental characterization of the statistics of multiple photon pairs produced by spontaneous parametric down-conversion realized in a nonlinear medium pumped by high-energy ultrashort pulses from a regenerative amplifier. The photon number resolved measurement has been implemented with the help of a fiber loop detector. We introduce an effective theoretical description of the observed statistics based on parameters that can be assigned direct physical nterpretation. These parameters, determined for our source from the collected experimental data, characterize the usefulness of down-conversion sources in multiphoton interference schemes that underlie protocols for quantum information processing and communication.

  4. Non-equilibrium Statistical Approach to Friction Models

    E-Print Network [OSTI]

    Shoichi Ichinose

    2014-04-26T23:59:59.000Z

    A geometric approach to the friction phenomena is presented. It is based on the holographic view which has recently been popular in the theoretical physics community. We see the system in one-dimension-higher space. The heat-producing phenomena are most widely treated by using the non-equilibrium statistical physics. We take 2 models of the earthquake. The dissipative systems are here formulated from the geometric standpoint. The statistical fluctuation is taken into account by using the (generalized) Feynman's path-integral.

  5. Statistical effect in the parton distribution functions of the nucleon

    E-Print Network [OSTI]

    Yunhua Zhang; Lijing Shao; Bo-Qiang Ma

    2008-12-17T23:59:59.000Z

    A new and simple statistical approach is performed to calculate the parton distribution functions (PDFs) of the nucleon in terms of light-front kinematic variables. We do not put in any extra arbitrary parameter or corrected term by hand, which guarantees the stringency of our approach. Analytic expressions of the $x$-dependent PDFs are obtained in the whole $x$ region [0,1], and some features, especially the low-$x$ rise, are more agreeable with experimental data than those in some previous instant-form statistical models in the infinite-momentum frame (IMF). Discussions on heavy-flavored PDFs are also presented.

  6. Generalizing entanglement via informational invariance for arbitrary statistical theories

    E-Print Network [OSTI]

    F. Holik; C. Massri; A. Plastino

    2014-06-04T23:59:59.000Z

    Given an arbitrary statistical theory, di?erent from quantum mechanics, how to decide which are the nonclassical correlations? We present a formal framework which allows for a definition of nonclassical correlations in such theories, alternative to the current one. This enables one to formulate extrapolations of some important quantum mechanical features via adequate extensions of reciprocal maps relating states of a system with states of its subsystems. These extended maps permit one to generalize i) separability measures to any arbitrary statistical model as well as ii) previous entanglement criteria. The standard definition of entanglement becomes just a particular case of the ensuing, more general notion.

  7. Statistical Model and the mesonic-baryonic transition region

    E-Print Network [OSTI]

    H. Oeschler; J. Cleymans; K. Redlich; S. Wheaton

    2009-10-12T23:59:59.000Z

    The statistical model assuming chemical equilibriumand local strangeness conservation describes most of the observed features of strange particle production from SIS up to RHIC. Deviations are found as the maximum in the measured K+/pi+ ratio is much sharper than in the model calculations. At the incident energy of the maximum, the statistical model shows that freeze out changes regime from one being dominated by baryons at the lower energies toward one being dominated by mesons. It will be shown how deviations from the usual freeze-out curve influence the various particle ratios. Furthermore, other observables exhibit also changes just in this energy regime.

  8. Information geometric complexity of a trivariate Gaussian statistical model

    E-Print Network [OSTI]

    D. Felice; C. Cafaro; S. Mancini

    2014-05-30T23:59:59.000Z

    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.

  9. A statistical model for the excitation of cavities through apertures

    E-Print Network [OSTI]

    Gradoni, Gabriele; Anlage, Steven M; Ott, Edward

    2015-01-01T23:59:59.000Z

    In this paper, a statistical model for the coupling of electromagnetic radiation into enclosures through apertures is presented. The model gives a unified picture bridging deterministic theories of aperture radiation, and statistical models necessary for capturing the properties of irregular shaped enclosures. A Monte Carlo technique based on random matrix theory is used to predict and study the power transmitted through the aperture into the enclosure. Universal behavior of the net power entering the aperture is found. Results are of interest for predicting the coupling of external radiation through openings in irregular enclosures and reverberation chambers.

  10. Statistics and Discoveries at the LHC (4/4)

    ScienceCinema (OSTI)

    None

    2011-10-06T23:59:59.000Z

    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.

  11. Statistics and Discoveries at the LHC (3/4)

    ScienceCinema (OSTI)

    None

    2011-10-06T23:59:59.000Z

    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.

  12. Statistics and Discoveries at the LHC (1/4)

    ScienceCinema (OSTI)

    None

    2011-10-06T23:59:59.000Z

    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.

  13. Statistical analysis of large-scale structure in the Universe

    E-Print Network [OSTI]

    Martin Kerscher

    1999-12-15T23:59:59.000Z

    Methods for the statistical characterization of the large-scale structure in the Universe will be the main topic of the present text. The focus is on geometrical methods, mainly Minkowski functionals and the J-function. Their relations to standard methods used in cosmology and spatial statistics and their application to cosmological datasets will be discussed. This work is not only meant as a short review for comologist, but also attempts to illustrate these morphological methods and to make them accessible to scientists from other fields. Consequently, a short introduction to the standard picture of cosmology is given.

  14. M.S. In Applied Statistics A graduate program in applied statistics leading to a master's degree is administered by the

    E-Print Network [OSTI]

    McConnell, Terry

    and information science, education, engineering, management, mathematics, psychology, and the social sciences on applications. The interdisciplinary program in statistics is based in the College of Arts and Sciences 521: Introduction to probability and statistics (students with a strong mathematics background

  15. DEPARTMENT OF MATHEMATICS AND STATISTICS ANNUAL REPORT 2011

    E-Print Network [OSTI]

    Strathclyde, University of

    DEPARTMENT OF MATHEMATICS AND STATISTICS ANNUAL REPORT 2011 The place of useful learning OF DEPARTMENT 2011 was a year in which we confronted the impact of public sector funding cuts. The Department not have been possible without the tremendous effort, energy and committed hard work that everyone within

  16. Experimental particle physics in Finland: Statistics and Overview

    E-Print Network [OSTI]

    Eerola, Paula

    Experimental particle physics in Finland: Statistics and Overview P. Eerola University of Helsinki, Finland R­ECFA meeting Helsinki, Finland September 5, 1997 #12; History High­energy physics research, analysis of bubble chamber experiments data. ffl 1968 CERN fund by the Particle Physics Committee

  17. Financial statistics of major publicly owned electric utilities, 1991

    SciTech Connect (OSTI)

    Not Available

    1993-03-31T23:59:59.000Z

    The Financial Statistics of Major Publicly Owned Electric Utilities publication presents summary and detailed financial accounting data on the publicly owned electric utilities. The objective of the publication is to provide Federal and State governments, industry, and the general public with data that can be used for policymaking and decisionmaking purposes relating to publicly owned electric utility issues.

  18. ccsd00004106, ON THE STATISTICAL MECHANICS AND SURFACE TENSIONS

    E-Print Network [OSTI]

    ccsd­00004106, version 1 ­ 31 Jan 2005 ON THE STATISTICAL MECHANICS AND SURFACE TENSIONS OF BINARY the surface tension of the mixture and the concentrations. Key words: Surface tensions, binary mixtures.Ruiz@cpt.univ-mrs.fr #12; 2 J. DE CONINCK, S. MIRACLE#21;SOL?, AND J. RUIZ 1. Introduction The notion of surface tension

  19. TECHNICAL ADVANCE EVE (external variance estimation) increases statistical power

    E-Print Network [OSTI]

    Buehlmann, Peter

    TECHNICAL ADVANCE EVE (external variance estimation) increases statistical power for detecting Institute of Plant Sciences & Zurich­Basel Plant Science Center, ETH Zurich, CH-8092 Zurich, Switzerland, our simulation studies suggest that even limited numbers of replicates will usually result in good

  20. Earnings forecast bias -a statistical analysis Franois Dossou

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

  1. Reliability-Based Decision Making: A Comparison of Statistical Approaches

    E-Print Network [OSTI]

    Herrmann, Jeffrey W.

    Reliability-Based Decision Making: A Comparison of Statistical Approaches J. M. Aughenbaugh whose reliability is well established and a new component that has an unknown reliability. In some scenarios, the designer may have some initial beliefs about the new component's reliability. The designer

  2. Submitted to Statistical Science Mapping Energy Landscapes of

    E-Print Network [OSTI]

    Zhu, Song Chun

    (ELMs) which characterize and visualize an energy function with a tree structure, in which each leafSubmitted to Statistical Science Mapping Energy Landscapes of Non-Convex Learning Problems Maria-convex in various model spaces and thus are difficult to analyze. In this paper, we compute Energy Landscape Maps

  3. STATISTICAL SIGNAL PROCESSING FOR AUTOMOTIVE SAFETY SYSTEMS Fredrik Gustafsson

    E-Print Network [OSTI]

    Gustafsson, Fredrik

    STATISTICAL SIGNAL PROCESSING FOR AUTOMOTIVE SAFETY SYSTEMS Fredrik Gustafsson Department The amount of software in general and safety systems in particular increases rapidly in the automotive- cessing area. 1. INTRODUCTION Henry Ford revolutionized the automotive industry more than 100 years ago

  4. A survey on statistical methods for health care fraud detection

    E-Print Network [OSTI]

    Li, Jing

    Media, LLC 2007 Abstract Fraud and abuse have led to significant addition- al expense in the health careA survey on statistical methods for health care fraud detection Jing Li & Kuei-Ying Huang applied to health care fraud detection, with focuses on classifying fraudulent behaviors, identify- ing

  5. Department of Mathematics and Statistics Preprint MPS-2014-25

    E-Print Network [OSTI]

    Wirosoetisno, Djoko

    flood forecasting. Keywords: Data assimilation, Remote sensing, Earth Observation, Synthetic apertureDepartment of Mathematics and Statistics Preprint MPS-2014-25 1 October 2014 Satellite Sciences #12;Satellite-supported flood forecasting in river networks: a real case study Javier Garc

  6. Statistics Useful for Deterministic Models: Evaluation, Calibration, Extension, Integration,

    E-Print Network [OSTI]

    Paciorek, Chris

    processing) Data assimilation · Postprocessing of model output ­ Model evaluation/assessment ­ Model in the manipulated data 6 #12;Comparison of GOES satellite data with EPA PM observations · half-hourly GOES aerosol 1, 2006 www.biostat.harvard.edu/~paciorek LYX - FoilTEX - pdfLATEX #12;Uses of Data and Statistics

  7. An Environment for Creating Interactive Statistical Documents Samuel E. Buttrey

    E-Print Network [OSTI]

    Nolan, Deborah

    An Environment for Creating Interactive Statistical Documents Samuel E. Buttrey Deborah Nolan The spectacular growth and acceptance of the Web has made it a very attractive medium for interactive documents that is embedded within the reader's browser. In this presentation, we describe how we have created an environment

  8. Unification of fluctuation theorems and one-shot statistical mechanics

    E-Print Network [OSTI]

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

    2014-09-12T23:59:59.000Z

    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.

  9. Review of Statistical Research Methods Training and Research

    E-Print Network [OSTI]

    Chen, Ying

    to their educational and research aims. The ANU has undergraduate and graduate-coursework degree programs in Statistics and Reporting 9 4. Classification of staff 10 5. Business Model of SCU 11 6. Related Initiatives located in the College of Business & Economics. Many other degree programs, including HDR programs

  10. Research article Statistics usage by French academic libraries a

    E-Print Network [OSTI]

    Boyer, Edmond

    1/15 Research article Statistics usage by French academic libraries ­ a survey Chérifa BOUKACEM of digital resources in academic libraries, the small number of articles dedicated to the processing of usage-ZEGHMOURI Université Lyon 1 Joachim SCH?PFEL Université Charles-de-Gaulle Lille 3 Abstract The article presents

  11. SPECIAL ISSUE PAPER Statistical mechanics of nucleation: a review

    E-Print Network [OSTI]

    Ford, Ian

    such as the transition from dry to wet steam. Keywords: statistical mechanics, nucleation NOTATION A parameter in the fit saturated vapour density s planar surface tension t parameter in the Dillmann­Meier model ok cluster of parameters such as temperature or pressure. For example, a vapour will condense by the nucleation of droplets

  12. MATH 498/598 Spatial Statistics Final Project Poster Session

    E-Print Network [OSTI]

    Geophysics 8 #12;1 Undergraduate Math/Computer Science PROJECT 1 Author(s): Angela Bauer, Regeena Martinez Graduate Math/Computer Science PROJECT 4 Author(s): Chris Bukowski Title: Investigating spatial correlationMATH 498/598 Spatial Statistics Final Project Poster Session Tuesday, May 10th 3:15-5:15 pm GRL

  13. Department of Statistics & Biostatistics Hill Center, Room 501

    E-Print Network [OSTI]

    Shepp, Larry

    AND BIOSTATISTICS www.stat.rutgers.edu Seminar Speaker: Professor Eric Marchand Universite de Sherbrooke (Quebec such as reverse Kullback-Leibler and integrated L2 . References. 1) Dominique Fourdrinier, ?ric Marchand, Ali, Electronic Journal of Statistics 2011, Vol. 5, 172-191. 2) Tatsuya Kubokawa, ?ric Marchand, William E

  14. REVSTAT Statistical Journal Volume 7, Number 2, June 2009, 151170

    E-Print Network [OSTI]

    Alves, Maria Isabel Fraga

    PROCESSES WITH ROBUST CONTROL CHARTS Authors: Fernanda Figueiredo ­ C.E.A.U.L. and Fac. de Economia da: December 2008 Abstract: · The Shewhart control charts, used for monitoring industrial processes, are the most popular tools in Statistical Process Control (SPC). They are usually developed under

  15. REVSTAT Statistical Journal Volume 11, Number 1, March 2013, 83104

    E-Print Network [OSTI]

    Alves, Maria Isabel Fraga

    IN SPC Authors: Fernanda Figueiredo ­ CEAUL and Faculdade de Economia da Universidade do Porto, Portugal statistical process control (SPC), leads us to notice that they usually exhibit moderate to strong asymmetry to motivate their use in applications. To monitor industrial processes some control charts for skew

  16. Berkeley Lab Accident Statistics Through July 31, 2012

    E-Print Network [OSTI]

    Eisen, Michael

    /Illness Cases ­ July 2012 Electrical Exposure · Electrical Exposure on finger ­ The Research Associate felt a mild electrical shock to the thumb and index finger while adjusting experimental equipment. #12;9 #12;10 LBNL vs. DOE Contractor Rates #12;11 #12;12BLS = US Bureau of Labor Statistics 2009 data NAICS = North

  17. Relativistic nuclear matter in generalized thermo-statistics

    E-Print Network [OSTI]

    nuclear medium. The correlation might lead to the power-law. 2) The baryon densities in Refs. [9,10] doRelativistic nuclear matter in generalized thermo-statistics K. Miyazaki E-mail: miyazakiro temperature are determined through the Gibbs thermodynamic relation. The power-law index is constrained

  18. Philosophy of Science Association The Philosophical Relevance of Statistics

    E-Print Network [OSTI]

    Mayo, Deborah

    Philosophy of Science Association The Philosophical Relevance of Statistics Author(s): Deborah G. Mayo Source: PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association, Vol on behalf of the Philosophy of Science Association Stable URL: http://www.jstor.org/stable/192556 Accessed

  19. Exhausting Battery Statistics Understanding the energy demands on mobile handsets

    E-Print Network [OSTI]

    Cambridge, University of

    energy models and resources managers designed for laptops [20] and data cen- ters [4] inapplicableExhausting Battery Statistics Understanding the energy demands on mobile handsets Narseo Vallina.surname@telekom.de ABSTRACT Despite the advances in battery technologies, mobile phones still suffer from severe energy

  20. SPEECH ENHANCEMENT USING A STATISTICALLY DERIVED FILTER MAPPING

    E-Print Network [OSTI]

    Kabal, Peter

    SPEECH ENHANCEMENT USING A STATISTICALLY DERIVED FILTER MAPPING Yan Ming Cheng, Douglas, Quebec H3E 1H6 Canada Abstract We view the speech enhancement task in two aspects: reduc- tion Mapping (NISSM) to estimate a speech enhancement Wiener filter. NISSM consists of a noise