Bryant, Janice; Helmer, Lauren
2010-12-29T23:59:59.000Z
Oral history interview with Janice Bryant conducted by Lauren Helmer in Marion, Kansas, on December 29, 2010. In this interview, Janice Bryant, a former church secretary for Valley Methodist Church, discusses the history, organization, and programs...
Janices start at Training & Technology
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artifacts of the work done there and have at least one certificate now; Janice gave us hers for our display at the Y-12 History Center's exhibit hall. We also just received from...
Employee Spotlight: Janice Lovato
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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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField Campaign:INEAWater UseCElizabethTwoJanice Lovato March 10, 2015 A gift
Janice C. Haith Director, Department of Navy
Janice C. Haith Director, Department of Navy Deputy Chief Information Officer (Navy) (DDCIO (N)) Ms Haith became Director, Deputy Department of Navy Chief Information Officer (Navy) (formerly. In this position, she is responsible for all Chief Information Officer (CIO) matters related to the US Navy
Training and Technology ? Janice Smiths story
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
as Don McMurray has dubbed these stories from TAT alumni, here is one from Janice Smith, a Y-12 employee in the Technology Development organization. She tells of her one...
Rubin, Herman [bio] Professor of Statistics and Mathematics PhD: University of Chicago 1948. Office: MATH 550; Phone: +1 765 49-46054; Email: ...
www.bluesci.orgIssue 14 Lent 2009 Randomness . Electronic Paper . Huntington's Disease
Cambridge, University of
www.bluesci.orgIssue 14 Lent 2009 Randomness . Electronic Paper . Huntington's Disease Stories from by Darwinian Chemistry Selection of the fittest molecules Biological Warfare Does biodefence research make us
Employee Spotlight: Janice Lovato
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContractElectron-State HybridizationSecurityDave Keller Dave
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
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of Experiments Reliability Bayesian Methods Statistical Computation Statistical Graphics and Visualization Analysis of Measurement Systems Projects Data Analysis System...
Statistical Laboratory & Department of Statistics
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
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM ERIC KOLACZYK Department of Statistics Boston University Statistical Analysis of Network Data: (Re)visiting the Foundations MONDAY, October 13, 2014, at 4, statistical methods and modeling have been central to these efforts. But how well do we truly understand
32. Statistics 1 32. STATISTICS
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
Statistical Laboratory & Department of Statistics
by the American Statistical Association. Dean Isaacson and Mark Kaiser were instrumental in garnering a NationalStatistical Laboratory & Department of Statistics Annual Report July 1, 2002 to June 30, 2003 IOWA Chair of the Department of Statistics and Director of the Statistical Laboratory in November, 2002. Dean
Janice Bryant Howroyd | Department of Energy
Office of Environmental Management (EM)
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Term statistics Zipf's law text statistics
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
Four Faculty Positions Applied Statistics & Computational Statistics
Shepp, Larry
Four Faculty Positions Applied Statistics & Computational Statistics The Department of Statistics at the Assistant Professor rank. Two positions are open in the area of Applied Statistics, with a focus on the development of statistical methodology and statistical consulting. The other two positions are open
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary900 SpecialNanoparticulateEmissions Targetson6 Statistical
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.
Generalizations of quantum statistics
O. W. Greenberg
2008-05-02T23:59:59.000Z
We review generalizations of quantum statistics, including parabose, parafermi, and quon statistics, but not including anyon statistics, which is special to two dimensions.
FISHERY STATISTICS UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1972 STATISTICAL DIGEST NO. 66 Prepared by STATISTICS;ACKNOWLEDGMENTS The data in this edition of "Fishery Statistics of the United States" were collected in co- operation with the various States and tabulated by the staff of the Statistics and Market News Division
Field Station Contributors, 2001 Anderson, Garry and Janice
Polly, David
and Bessie Hamilton, Stanley and Mary Hattin, Don and Marge Hemund, Maxine Jacobs, Alan and Luanna Kammer, Thomas and Heidi Keller, Stanley and Teresa Kemmerer, Bryan Koch, Philip and Ellen Kooters Geology Tools Maples, Christopher and Sara Mead, Thomas and Lenore Meyers, James and Margaret Murray, James Orgill, J
Statistical Language Modelling
Gotoh, Yoshihiko; Renals, Steve
2003-01-01T23:59:59.000Z
the underlying models from large amounts of data. Importantly, such statistical approaches often produce useful results. Statistical approaches seem especially well-suited to spoken language which is often spontaneous or conversational and not readily amenable...
Interpreting Accident Statistics
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 ...
Statistics 36-756: Advanced Statistics II Syllabus: Fall, 2006
Fienberg, Stephen E.
, Journal of the American Statistical Association, Journal of the Royal Statistical Society, StatisticalStatistics 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
Statistics Statistique Canada Canada
Sinnamon, Gordon J.
Statistics Statistique Canada Canada Human Resources and Ressources humaines et Skills Development Canada DÃ©veloppement des compÃ©tences 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
STATISTICAL COMPUTING AND GRAPHICS
Masci, Frank
Marron for a helpful comment. @ 1997 American Statistical Association bin width should be chosen soSTATISTICAL COMPUTING AND GRAPHICS Data-Based Choice of Histogram Bin Width The most important of the "optimal" bin width. Default bin widths in most common statistical packages are, at least for large samples
Statistical Convergence and Convergence in Statistics
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.
BS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics
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
Statistics 221 Statistical Computing Methods Instructor: Mark Irwin
Irwin, Mark E.
Linear algebra, Statistics 111, and knowledge of a computer programming language. Statistics 220 (1988). Elements of Statistical Computing: Numerical Computation. CRC Press. Splus / R: Venables WNStatistics 221 Â Statistical Computing Methods Instructor: Mark Irwin Office: Science Center 235
1 Statistics Statistics plays an important role throughout society, providing
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
Practical Statistical Thinking Probability: The Language of Statistics
Practical Statistical Thinking Probability: The Language of Statistics Essentials of Statistics and Probability Dhruv Sharma May 22, 2007 Department of Statistics, NC State University dbsharma@ncsu.edu SAMSI Undergrad Workshop Dhruv Sharma Essentials of Statistics and Probability #12;Practical Statistical Thinking
Edinburgh Research Explorer Statistical Constraints
Millar, Andrew J.
Edinburgh Research Explorer Statistical Constraints Citation for published version: Rossi, R that links statistics and constraint programming. We dis- cuss two novel statistical constraints and some, Prestwich, S & Tarim, SA 2014, 'Statistical Constraints' Paper presented at 21st biennial European
Part I STATISTICAL PHYSICS 1 Statistical Physics
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 II—VI. As a central feature of our approach, we shall emphasize the intimate connections between the relativistic formulation of statistical physics and its nonrelativistic limit, and between quantum statistical physics and the classical theory. Throughout, we shall presume that the reader is familiar with elementary thermodynamics, but not with other aspects of statistical physics. In Chap. 2 we will study kinetic theory — the simplest of all formalisms for analyzing systems of huge numbers of particles (e.g., molecules of air, or neutrons diffusing through a nuclear reactor, or photons produced in the big-bang origin of the Universe). In kinetic theory the key concept is the “distribution function ” or “number density of particles in phase space”, N; i.e., the number of particles per unit 3-dimensional volume of ordinary space and per unit 3-dimensional volume of momentum space. Despite first appearances, N turns out to be a geometric, frame-independent entity. This N and the frame-independent laws it
Part I STATISTICAL PHYSICS 1 Statistical Physics
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 II—VI. As a central feature of our approach, we shall emphasize the intimate connections between the relativistic formulation of statistical physics and its nonrelativistic limit, and between quantum statistical physics and the classical theory. Throughout, we shall presume that the reader is familiar with elementary thermodynamics, but not with other aspects of statistical physics. In Chap. 2 we will study kinetic theory — the simplest of all formalisms for analyzing systems of huge numbers of particles (e.g., molecules of air, or neutrons diffusing through a nuclear reactor, or photons produced in the big-bang origin of the Universe). In kinetic theory the key concept is the “distribution function ” or “number density of particles in phase space”, N; i.e., the number of particles per unit 3-dimensional volume of ordinary space and per unit 3-dimensional volume of momentum space. Despite first appearances, N turns out to be a geometric, frame-independent entity. This N and the frame-independent laws it
Part I STATISTICAL PHYSICS 1 Statistical Physics
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 II—VI. Throughout, we shall presume that the reader is familiar with elementary thermodynamics, but not with other aspects of statistical physics. As a central feature of our approach, we shall emphasize the intimate connections between the relativistic formulation of statistical physics and its nonrelativistic limit, and between quantum statistical physics and the classical theory. Chapter 2 will deal with kinetic theory, which is the simplest of all formalisms for studying systems of huge numbers of particles (e.g., molecules of air, or neutrons diffusing through a nuclear reactor, or photons produced in the big-bang origin of the Universe). In kinetic theory the key concept is the “distribution function ” or “number density of particles in phase space”, N; i.e., the number of particles per unit 3-dimensional volume of ordinary space and per unit 3-dimensional volume of momentum space. Despite first appearances, N turns out to be a geometric, frame-independent entity. This N and the laws it obeys provide
Kulik, Rafal
R for Statistics Rafal Kulik Department of Mathematics and Statistics University of Ottawa Statistical Society of Ottawa 23 September 2011 Rafal Kulik #12;R for Statistics SSO meeting Plan Rafal Kulik 1 #12;R for Statistics SSO meeting Plan What is R? Rafal Kulik 1 #12;R for Statistics SSO meeting
Stellar Evolution A Statistical Model
van Dyk, David
Stellar Evolution A Statistical Model Statistical Computation Analysis of the Hyades Cluster Statistical Analysis of Stellar Evolution David A. van Dyk1 Steven DeGennaro2 Nathan Stein2 William H Statistical Analysis of Stellar Evolution #12;Stellar Evolution A Statistical Model Statistical Computation
Weakly sufficient quantum statistics
Katarzyna Lubnauer; Andrzej ?uczak; Hanna Pods?dkowska
2009-11-23T23:59:59.000Z
Some aspects of weak sufficiency of quantum statistics are investigated. In particular, we give necessary and sufficient conditions for the existence of a weakly sufficient statistic for a given family of vector states, investigate the problem of its minimality, and find the relation between weak sufficiency and other notions of sufficiency employed so far.
Statistical laws in linguistics
Altmann, Eduardo G
2015-01-01T23:59:59.000Z
Zipf's law is just one out of many universal laws proposed to describe statistical regularities in language. Here we review and critically discuss how these laws can be statistically interpreted, fitted, and tested (falsified). The modern availability of large databases of written text allows for tests with an unprecedent statistical accuracy and also a characterization of the fluctuations around the typical behavior. We find that fluctuations are usually much larger than expected based on simplifying statistical assumptions (e.g., independence and lack of correlations between observations).These simplifications appear also in usual statistical tests so that the large fluctuations can be erroneously interpreted as a falsification of the law. Instead, here we argue that linguistic laws are only meaningful (falsifiable) if accompanied by a model for which the fluctuations can be computed (e.g., a generative model of the text). The large fluctuations we report show that the constraints imposed by linguistic laws...
Applied Math & Statistics: Statistics Minor Curriculum Chart: 2013-2014
Stuart, Josh
Applied Math & Statistics: Statistics Minor Curriculum Chart: 2013-2014 http PSYC 181 CMPE 108 SOCY 103A CMPS 142 TIM 230 Information on the Statistics Minor The statistics minor as preparation for a graduate degree in statistics or biostatistics. Course Information With permission from
Statistics: Part 1 1. Why bother with statistics?
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
FISHERY STATISTICS E UNITED STATES
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
Stellar Evolution A Statistical Model
van Dyk, David
Stellar Evolution A Statistical Model Statistical Computation Analysis of the Hyades Cluster Embedding Computer Models for Stellar Evolution into a Coherent Statistical Analysis David A. van Dyk1 Analysis of Stellar Evolution #12;Stellar Evolution A Statistical Model Statistical Computation Analysis
School of Mathematics and Statistics
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
Statistics applied to safeguards
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.
Statistics applied to safeguards
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.
Statistics and samples 1.1 What is statistics?
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
Pearson's Goodness of Fit Statistic as a Score Test Statistic
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 and the residual deviance is therefore the relationship between the score test and the likelihood ratio test
Statistical Learning Theory of Protein Dynamics
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
Experimental Mathematics and Computational Statistics
Bailey, David H.; Borwein, Jonathan M.
2009-04-30T23:59:59.000Z
The field of statistics has long been noted for techniques to detect patterns and regularities in numerical data. In this article we explore connections between statistics and the emerging field of 'experimental mathematics'. These includes both applications of experimental mathematics in statistics, as well as statistical methods applied to computational mathematics.
STATISTICS ESSENTIAL SKILL OUTCOME STATEMENTS
Gering, Jon C.
to statistical literacy. The American Statistical Association endorsed the Guidelines for AssessmentSB #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
General Indicators: Performance Statistics
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
General Indicators: Performance Statistics
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
General Indicators: Performance Statistics
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
BS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics
Seamons, Kent E.
the statistics list: C S 142 Introduction to Computer Programming Math 334 Ordinary Differential Equations Math Academic Internship: Statistics Stat 497R Introduction to Statistical Research Stat 535 Applied Linear are strongly recommended to choose electives to prepare for the BYU BS/MS statistics integrated program
1979 DOE statistical symposium
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.
Homotopy in statistical physics
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.
Bayesian Statistics Stochastic Simulation -Gibbs sampling
Wright, Francis
Bayesian Statistics Stochastic Simulation - Gibbs sampling Bayesian Statistics - an Introduction Dr Pettit Bayesian Statistics - an Introduction #12;Bayesian Statistics Stochastic Simulation - Gibbs sampling What is Bayesian Statistics? Bayes Theorem The Likelihood Principle Mixtures of conjugate priors
C. Shane Reese Department of Statistics
Reese, Shane
, American Statistical Association 2012 Melvin W. Carter Professorship 2010 Karl G. Maeser Excellence.) 2010 American Statistical Association Excellence in Statistics in Sports Award 2008 Howard Christensen Department of Statistics Honored Faculty Member 2001 Journal of the American Statistical Association
STAT 639V: Topics in Statistics Statistical Computing
Petris, Giovanni
methods. Most of the topics will be presented in the context of the R statistical computing language (see below). Computing: The computer language we will be using is R. The latest version of R is installedSTAT 639V: Topics in Statistics Fall 2014 Statistical Computing General Information: Class hours
INDIAN STATISTICAL INSTITUTE Annual Report
Bandyopadhyay, Antar
Division 8 Stat-Math Unit (SMU), Kolkata 8 Stat-Math Unit (SMU), Delhi 11 Stat-Math Unit (SMU), Bangalore Stat-Math Unit (SMU), Chennai 14 16 Applied Statistics Division 17 Applied Statistics Unit (ASU
Statistical Performance Modeling of SRAMs
Zhao, Chang
2011-02-22T23:59:59.000Z
to their characteristic of low failure rate, while statistical method of yield sensitivity analysis is meaningful for its high efficiency. This thesis proposes a novel statistical model to conduct yield sensitivity prediction on SRAM cells at the simulation level, which...
STATISTICAL MECHANICS AND FIELD THEORY
Samuel, S.A.
2010-01-01T23:59:59.000Z
York. K. Bardakci, Field Theory for Solitons, II, BerkeleyFart I Applications of Field Theory Methods to StatisticalStatistical Mechanics to Field Theory Chapter IV The Grand
Business Statistics 207 Summer, 2013
Barrash, Warren
Business Statistics 207 Summer, 2013 Instructor: Phil Fry Office: MBEB 3249 e-mail: pfry) & by Appointment Textbook: Business Statistics: A Decision-Making Approach, 8th ed. by Groebner, Shannon, Fry: This is the first semester of a two semester course in business statistics. The objective of BUSSTAT 207
Fertilizer Statistics for Texas.
Fraps, G. S. (George Stronach)
1927-01-01T23:59:59.000Z
) H. B. PARKS, B. S.. Apiculturist in Charge A. H. ALEX, B. S.. Queen Breeder FEED CONTROL SERVICE: F. D. FULLER, M. S.. Chief S. D. PEARCE, Secretary J. 13. ROGERS, Feed Inspector W. H. WOOD. Feed Inspector K. L KIRKLAND B S Feed Inspector W... and for selected counties. Estimated prices of plant food are given. The sales of fer- tilizer in the spring are partly related to the price of cotton in the preceding fall and winter. This is shown by statistical methods. CONTENTS ,. A . . . . ,., l...
Independent Statistics & Analysis
Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688ElectricityLessApril 2015 Independent Statistics &
Office of Environmental Management (EM)
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic Plan| Department of.pdf6-OPAMDepartment6 FY 2007 FY 2008State TablesStatistical
ARM - Historical Visitor 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006Datastreamstwrcam40m DocumentationJanuary 9, 2009 [Events, FeatureListGeneral ChangesFieldVisitor 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)IntegratedSpeeding access toTest andOptimize832 2.860 2.864 2.867039 J -Statistics
BS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics
Seamons, Kent E.
the statistics list: C S 142 Introduction to Computer Programming Math 334 Ordinary Differential Equations Math Applied Time Series and Forecasting Stat 474 Theory of Interest Stat 496R Academic Internship: Statistics Stat 497R Introduction to Statistical Research Stat 535 Applied Linear Models Stat 536 Modern
Excel-lent Experiences: Computational Research Internships
Gobbert, Matthias K.
;Websites Â· NSF REU http://www.nsf.gov/crssprgm/reu/reu_search.cfm Â· State Space Grant Consortium Funding. Valainis 3 Woodburn Ridge Road, Spartanburg, SC 29302 (864) 580 Â 8847 valainisgt, Spartanburg, SC Computer Science Major: B.S., Mathematics Minor (May 2013) GPA: 3.63/4.0 Relevant Courses
WRITTEN TESTIMONY OF DR. REBECCA LENT
with the timeframe in the Magnuson-Stevens Act). These nations were France, Italy, Libya, Panama, the People
Application for SAS Certificate Advanced Statistics
Dahl, David B.
Application for SAS Certificate Advanced Statistics ___________________________________________________________________________________ Student Signature _________________________________________ Date I am a Statistics Major at Brigham Young of Statistics to access my academic information. Brigham Young University Department of Statistics offers
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series PETER HALL Department of Mathematics and Statistics University of Melbourne, Australia Contemporary Frontiers in Statistics THURSDAY and future directions of frontier problems in statistics For further information and about building access
FROM STATISTICAL SIGNIFICANCE TO EFFECT ESTIMATION
Burgman, Mark
such as the American Psychological Association, and the absence of appropriate editorial pressure, statistical reformFROM STATISTICAL SIGNIFICANCE TO EFFECT ESTIMATION: STATISTICAL REFORM IN PSYCHOLOGY, MEDICINE ABSTRACT Compelling criticisms of statistical significance testing (or Null Hypothesis Significance Testing
APS Operational Statistics for FY 2005
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asdopslogo1.gif (2896 bytes) APS FY2005 Operational Statistics Back to Main Statistics Page FY 2005 Year-to-Date Statistics 2005 Statistics Summary HTML or PDF FY 2005...
Statistics as a dynamical attractor
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.
Small Business Goals and Statistics
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& 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...
Computer, Computational, and Statistical Sciences Division
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Computing CCS Division Computer, Computational, and Statistical Sciences Division Computational physics, computer science, applied mathematics, statistics and the integration of...
Stine, Robert A.
Requirements for Statistics Concentration 6/9/11 The Statistics concentration or major are required, with at least 3 credit units from Statistics. STAT 621 may contribute in Statistics The following courses offered by the Department of Statistics are eligible
International petroleum statistics report
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.
International petroleum statistics report
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.
Models for Millions Department of Statistics
Stine, Robert A.
Models for Millions Bob Stine Department of Statistics The Wharton School, UniversityDepartment of Statistics Introduction #12;WhartonDepartment of Statistics WhartonDepartment of Statistics Statistics in the News Hot topics Big Data Business Analytics Data Science Are the authors talking about statistics
the reference length len(R), using this equation: BP(T, R) = min 1.0, exp 1 - len(R) len(T) (4) 2.2 Smoothing
SDI: Statistical dynamic interactions
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.
Probability, Statistics, and Stochastic Processes
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
Key China Energy Statistics 2012
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 (cont’d) Mtce Crude Oilconsumption - Urban Other Statistical Difference Appendix 3: Energy Balance/China 2010 (cont’d) Physical Quantity Crude Oil
Practical Statistics for the LHC
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.
December 2000 A STATISTICAL TEST
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
STATISTICAL FILTERING* John B. Moore~
Moore, John Barratt
noise signals. Theoretical developments in statistical filtering have been made side by side linkages will be made between these two major in filtering. in the developments In the classical approaches and the unwanted signals (noise) lie in another with possibly some overlap. In the statistical approach, the best
Building statistical models by visualization
Minka,Tom
books Â· "The Elements of Graphing Data", William Cleveland, 2nd Ed. Â· "Visualizing Data", WilliamBuilding statistical models by visualization Tom Minka CMU Statistics Dept #12;Outline-scatterplot for unpaired data Â· Quantile of x = fraction of points
Olsen Jr., Dan R.
of Statistics For students entering the degree program during the 20142015 curricular year. UNIVERSITY CORE Introduction to R Programming Stat 124 SAS Base Programming Skills Stat 223 Applied R Programming Stat 224 for Modeling Stat 497R Introduction to Statistical Research Stat 500 Business Career Essentials Stat 538
FISHERY STATISTICS QF THE UNITED STATES
I FISHERY STATISTICS QF THE UNITED STATES 1942 By A. W, ANDERSON and E. A. POWER STATISTICAL DIGEST Statistical Digest No. 11 FISHERY STATISTICS OF THE UNITED STATES 1942 BY A. W. ANDERSON and E. A. POWER. S. Government Printing Offic Washington 25, D. C. - Price 60 cents #12;Fishery Statistics
Statistics in Linguistics Tutorial Just a sip. . .
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
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1964 STATISTICAL DIGEST NO. 58 UNITED STATES DEPARTMENT Bureau of Commercial Fisheries, Donald L. McKernan, Director STATISTICAL DIGEST 58 FISHERY STATISTICS.S. Government Printing Office, Washington, D.C., 20402 - Price S2.50 (paper cover) #12;Fishery statistics
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1963 STATISTICAL DIGEST NO. 57 UNITED STATES DEPARTMENT of Commercial Fisheries, Donald L. McKernan, Director STATISTICAL DIGEST 57 FISHERY STATISTICS OF THE UNITEDTernment Printing Office, Washington, D.C., 20402 - Price $2.25 (paper c #12;Fishery statistics of the United States
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1962 STATISTICAL DIGEST NO. 56 UNITED STATES DEPARTMENT Fisheries, Donald L. McKernan, Director STATISTICAL DIGEST 56 FISHERY STATISTICS OF THE UNITED STATES 1962.S. Government Printing Office, Washington, D.C., 20402 - Price $2.25 (paper cover) #12;Fishery statistics
FISHERY STATISTICS OF THE UNITED STATES
Div,, . FISHERY STATISTICS OF THE UNITED STATES 1961 STATISTICAL DIGEST NO. 54 UNITED STATES, Donald L. MeKernan, Director STATISTICAL DIGEST 54 FISHERY STATISTICS OF THE UNITED STATES 1961 BY E. A, Washington, D.C. 20402 - Price $2 (paper cover) #12;Fishery statistics of the United States are compiled
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1944 STATISTICAL DIGEST ISO. 16 Fish and Wildlife Sekvh Albert M. Day, Director Statistical Digest No. 16 FISHERY STATISTICS OF THE UNITED STATES 1944 BY A. W Statistics of the United States and Alaska are coiip i I ed and published annually to make available
FISHERY STATISTICS OF THE UNITED STATES
pa%Mv--. FISHERY STATISTICS OF THE UNITED STATES 1965 STATISTICAL DIGEST NO. 59 UNITED STATES, Commissioner Bureau of Commercial Fisheries, H. E. Crowther, Director STATISTICAL DIGEST 59 FISHERY STATISTICS.S. Government Printing Office Washington, D.C. 20402 - Price $4 (Paper Cover) #12;Fishery statistics
FISHERY STATISTICS )F THE UNITED STATES
SH 11 .A443X FISH FISHERY STATISTICS )F THE UNITED STATES ^M=^. STATISTICAL DIGEST NO. 36 #12. Farley, Director i]EL M. COHEN Statistical Digest 36 FISHERY STATISTICS OF THE UNITED STATES 1953 BY A. W;Fishery Statistics of the I'nited States and Alaska are compiled and published an- nually to make
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1950 STATISTICAL DIGEST NO. 27 Fish and Wildlife ServiceKay, Secretary FISH AND WILDLIFE SERVICE, John L. Farley, Director Statistical Digest 27 FISHERY STATISTICS 25, DC. - - Price $2.00 (paper) #12;Fishery Statistics of the United States and A] aska are corapi
FISHERY STATISTICS OF THE UNITED STATES
SH 11 A443X FISH FISHERY STATISTICS OF THE UNITED STATES 1943 STATISTICAL DIGEST NO. 14 Sll \\M AND WILDLIFE SERVICE Albert M. Day, Director CAMEL M. COHEN Statistical Digest No. 14 FISHERY STATISTICS. - Price 75 cents #12;Fishery Statistics of the United States and Alaska are compiled and published
Quantum particles from classical statistics
C. Wetterich
2010-02-11T23:59:59.000Z
Quantum particles and classical particles are described in a common setting of classical statistical physics. The property of a particle being "classical" or "quantum" ceases to be a basic conceptual difference. The dynamics differs, however, between quantum and classical particles. We describe position, motion and correlations of a quantum particle in terms of observables in a classical statistical ensemble. On the other side, we also construct explicitly the quantum formalism with wave function and Hamiltonian for classical particles. For a suitable time evolution of the classical probabilities and a suitable choice of observables all features of a quantum particle in a potential can be derived from classical statistics, including interference and tunneling. Besides conceptual advances, the treatment of classical and quantum particles in a common formalism could lead to interesting cross-fertilization between classical statistics and quantum physics.
Statistical mechanics of gene competition
Venegas-Ortiz, Juan; Ortiz, Juan Venegas
2013-11-28T23:59:59.000Z
Statistical mechanics has been applied to a wide range of systems in physics, biology, medicine and even anthropology. This theory has been recently used to model the complex biochemical processes of gene expression and ...
Forensic Statistics: Ready for consumption?
Gill, Richard D.
in de rechtszaal. Stator. http://www.kennislink.nl/web/show?id=111865 #12;Everyday statistics · Intensive two-way interaction between statistician and subject-matter expert (client) Cyclic process of re
Anyonic statistics with continuous variables
Jing Zhang; Changde Xie; Kunchi Peng; Peter van Loock
2008-10-30T23:59:59.000Z
We describe a continuous-variable scheme for simulating the Kitaev lattice model and for detecting statistics of abelian anyons. The corresponding quantum optical implementation is solely based upon Gaussian resource states and Gaussian operations, hence allowing for a highly efficient creation, manipulation, and detection of anyons. This approach extends our understanding of the control and application of anyons and it leads to the possibility for experimental proof-of-principle demonstrations of anyonic statistics using continuous-variable systems.
Faculty of Science Mathematics and Statistics
Faculty of Science Mathematics and Statistics Mathematicians and statisticians use powerful mathematical, statistical and computational tools to solve both important theoretical problems and practical can pursue programs in mathematics, statistics, actuarial science, math and computer science
American Statistical Association National Science Foundation
Bermúdez, José Luis
American Statistical Association National Science Foundation U.S. Census Bureau ASA American Statistical Association 732 North Washington Street Alexandria, VA 22314-1943 U.S. government and analysis, statistical methodology and computing, information and behavioral science, and geography
STATISTICAL PHONE: 530.752.2361
Wang, Jane-Ling
. from 1995 to 1998, he developed further expertise in software develop- ment, statistical programming, analysis, programming, and interpretation. Since joining the Statistical Laboratory in 2005, he has R. Beran: multivariate regression, bootstrap meth- ods, statistics on manifolds, asymptotic theory P
Zhang, Li-Xin
Â§1.0 What is Statistics? Â§1.1 What is Mathematical Statistics? Random Data Basic Ideas in Statistics Â§1.2 Fundamental Con Mathematical Statistics Zhang, Lixin and Dai, Jialing Course Website: www.math.zju.edu.cn/zlx/teaching.htm #12;Â§1.0 What is Statistics? Â§1.1 What is Mathematical Statistics? Random Data Basic Ideas
Moore honored with American Statistical Association award
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
American Statistical Association Award Moore honored with American Statistical Association award Lisa Moore is the recipient of the 2013 Don Owen Award presented by the American...
DEPARTMENT OF STATISTICS Hilary Term 2007 MSc and Diploma in Applied Statistics
Goldschmidt, Christina
DEPARTMENT OF STATISTICS Â Hilary Term 2007 MSc and Diploma in Applied Statistics DAY HOUR TITLE LECTURER PLACE MON 12-1 Time Series (wks 1-4) Dr Laws Statistics 12-1 MCMC and Applied Bayesian Statistics (wks 5-7) Professor Reinert Statistics 2-3 Statistical Data Mining (wks 1-8) Dr Nicholls Maths
STATISTICS IN MEDICINE Statist. Med. 2009; 28:34543466
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
STATISTICS IN MEDICINE Statist. Med. 18, 32213234 (1999)
Gelman, Andrew
1999-01-01T23:59:59.000Z
States. Much of the variation in observed cancer death rates by county is attributable to statistical to have extremely high (or low) cancer rates when compared to typical counties in the United States. Thus to keep a speciÃ¿c example in mind. Consider the mapping of cancer mortality rates by county in the United
STAT 639v: Topics in Statistics Statistical Computing
Petris, Giovanni
, or by appointment. Textbooks: Braun and Murdoch (2007), A First Course in Statistical Programming with R, Cambridge roughly every two or three weeks. Outline syllabus: After learning the R programming language, we, the bootstrap. Computing: The computer language we will be using is R. The latest version of R is installed
advanced statistical methods: Topics by E-print Network
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binomial, Poisson Gordon, Geoffrey J. 7 Statistics 36-756: Advanced Statistics II Syllabus: Fall, 2006 Mathematics Websites Summary: Statistics 36-756: Advanced Statistics II...
Kambhampati, Patanjali
Department of Mathematics and Statistics ___________________________ The Department of Mathematics and Statistics invites applications for a tenure-track position in Statistics. The Department welcomes or complex data settings, including high dimensional regression, computational statistics and statistical
FISHERY STATISTICS F THE UNITED STATES
FISHERY STATISTICS »F THE UNITED STATES ^ 1954 ,M^,. 'M' . ' J*"'',-,'i''' ' STATISTICAL DIGEST NO DEPARTMENT OF THE INTERIOR, Fred A. Seaton, Secretary FISH AND WILDLIFE SERVICE PANIELM. COHEN Statistical Digest 39 FISHERY STATISTICS OF THE UNITED STATES 1954 BY A. W. ANDERSON and E. A. POWER UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES I 1952 .^£^ STATISTICAL DIGEST NO. 34 Fish and Wildlife McKay, Secretary FISH AND WILDLIFE SERVICE, John L. Farley, Director -iJ^EUW^ .COHEN Statistical Digest 34 FISHERY STATISTICS OF THE UNITED STATES 1952 BY A. W. ANDERSON and E. A. POWER UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1966 STATISTICAL DIGEST NO. 60 UNITED STATES DEPARTMENT OF THE INTERIOR U.S. FISH AND WILDLIFE SERVICE Bureau of Commercial Fisheries STATISTICAL DIGEST 60 FISHERY STATISTICS OF THE UNITED STATES 1966 BY Charles H. Lyles PUBLISHED BY BUREAU OF COMMERCIAL FISHERIES
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1959 ^mmi STATISTICAL DIGEST NO. 51 UNITED STATES DEPARTMl of Commercial Fisheries, Donald L. McKernan, Director jPANlELM COHEN FISH AND WILDLIFE SERVICE STATISTICAL DIGEST 51 FISHERY STATISTICS OF THE UNITED STATES 1959 BY E. A. POWER PUBLISHED BY BUREAU OF COMMERCIAL
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1946 STATISTICAL DIGEST NO, 19 Fish and Wildlike Sekvice L. Chapman, Secretary FISH AND WILDLIFE SERVICE Albert M. Day, Director Statistical Digest 19 FISHERY STATISTICS OF THE UNITED STATES 1946 BY A. W. ANDERSON and E. A. POWER UNITED STATES GOVERNMENT
The University of Connecticut Department of Statistics
Blei, Ron
1 The University of Connecticut Department of Statistics Graduate Program Founded in 1963, the Department is one of the major statistics departments in the Northeast and has national and international and statistics, spanning virtually all modern areas of statistical applications. Graduate education has been
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES SH 11 A443X FISH 1948 STATISTICAL DIGEST NO. 22 Fish OF THE INTERIOR, Oscar L. Chapman, Secretary FISH AND WILDLIFE SERVICE, Albert M. Day, Director Statistical Digest 22 FISHERY STATISTICS OF THE UNITED STATES 1948 BY A. W. ANDERSON and E. A. POWER UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1945 STATISTICAL DIGEST NO, 18 United States Dejtartment. Krug, Secretary FISH AND WILDLIFE SERVICE Albert M. Day, Director Statistical Digest 18 FISHERY STATISTICS OF THE UNITED STATES 1945 BY A. W. ANDERSON and E. A. POWER UNITED STATES GOVERNMENT PRINTING
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES I 1947 cf^^v'^ml STATISTICAL DIGEST NO. 21 Fish Oscar L. Chapman, Secretary FISH AND WILDLIFE SERVICE Albert M. Day, Director Statistical Digest 21 PI^j^IELW' , COHEN FISHERY STATISTICS OF THE UNITED STATES 1947 BY A. W. ANDERSON and E. A. POWER UNITED STATES
C. Shane Reese Department of Statistics
Reese, Shane
of Statistics Honored Faculty Member 2001 Journal of the American Statistical Association Applications and Case, SRCOS/ASA Research Conference A#liations American Statistical Association, Biometric Society (WNAR), IMSpresent Associate Editor, Journal of the American Statistical Association 20062008 Vicechair, ASA
DEPARTMENT OF STATISTICS ANNUAL REPORT 2006
Goodman, James R.
Waksberg Award from the American Statistical Association and the Statistical Society of Canada for his work Statistical Association, was held at Sky City in Auckland on July 3 to 6 with David Scott as ChairDEPARTMENT OF STATISTICS ANNUAL REPORT 2006 Highlights Last year I highlighted the fact that Ross
LIDIA REJTO Statistics Program, Department of FREC
RejtÃµ, LÃdia
LÂ´IDIA REJTO Statistics Program, Department of FREC CANR, University of Delaware 214 Townsend Hall package. Familiar with statistical softwares R, S-Plus, BMDP, SAS, MINITAB. PROFESSIONAL EXPERIENCES Permanent Position: Full Professor, Director of Statistical Laboratory, Statistics Program, Department
Purdue Agriculture Annual Statistical Report
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
Statistics Colloquium Dr. Noel Cadigan
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 Â the harvest rate that maximizes long
Statistics in Practice Forensic Science
Lucy, David
". · Greater use of trace evidence (paint/glass/fibres). · DNA revolution. The rise of DNA was coincident: · Trace evidence (glass/paint/fibres) being treated statistically. · More evidence types: · common partner Sally Rose. · He picked up a champagne bottle and struck her on the head. · Rose died at the scene
Statistical mechanics of the vacuum
Christian Beck
2012-03-01T23:59:59.000Z
The vacuum is full of virtual particles which exist for short moments of time. In this paper we construct a chaotic model of vacuum fluctuations associated with a fundamental entropic field that generates an arrow of time. The dynamics can be physically interpreted in terms of fluctuating virtual momenta. This model leads to a generalized statistical mechanics that distinguishes fundamental constants of nature.
Introduction to statistical models and non-extensive statistics
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.
Parallel contingency statistics with Titan.
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.
STATISTICAL MECHANICS PRACTICE EXAM 2005
Dorlas, Teunis C.
STATISTICAL MECHANICS PRACTICE EXAM 2005 Time allotted: 3 hours for 5 questions. 1. (i) Give density of a system of independent spins si = ±1 with energy levels given by E(s1, . . . , sN ) = -H N i=1 si. 2. (i) Derive the expression f() = - 1 ln eJ cosh H + e2J sinh2 H + e-2J for the free energy
Parallel auto-correlative statistics with VTK.
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.
September 12, 2013 THE FLORIDA STATE UNIVERSITY DEPARTMENT OF STATISTICS
Shepp, Larry
September 12, 2013 THE FLORIDA STATE UNIVERSITY DEPARTMENT OF STATISTICS ASSISTANT PROFESSOR POSITION IN STATISTICS, BIOSTATISTICS, OR COMPUTATIONAL STATISTICS (TENURE-TRACK) The Department of Statistics at Florida State University invites applications for a tenure-track position in statistics
Ponce, V. Miguel
American Statistical Association Names Fellows for 2010 ALEXANDRIA VA (PRWEB) MAY 20, 2010 The American Statistical Association (ASA), the nation's preeminent professional statistical society, today the American Statistical Association The American Statistical Association (ASA), a scientific and educational
Seismic Attribute Analysis Using Higher Order Statistics
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...
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series STEFFEN LAURITZEN Department of Statistics University of Oxford Bayesian Networks for the Analysis of DNA Mixtures MONDAY, May 21, 2009, at 4
Statistical Review of California's Organic Agriculture
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
|Research Focus Statistical decision theory and evolution
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
Kansas Statistical Abstract 2005 (40th Edition)
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, finance, state and local...
Kansas Statistical Abstract 2013 (48th Edition)
Institute for Policy & Social Research
2014-09-01T23:59:59.000Z
The Kansas Statistical Abstract 2013, 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, ...
Kansas Statistical Abstract 2001 (36th Edition)
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, ...
Kansas Statistical Abstract 2004 (39th Edition)
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, ...
Kansas Statistical Abstract 2003 (38th Edition)
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, ...
Kansas Statistical Abstract 2012 (47th Edition)
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, ...
Kansas Statistical Abstract 2002 (37th Edition)
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, ...
Stratigraphic statistical curvature analysis techniques
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.
Statistics Department University of California, Berkeley
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
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics BAHADUR MEMORIAL LECTURES JAMES O. BERGER Department of Statistical Science Duke University Bayesian Adjustment for Multiplicity MONDAY, April 11, 2011 for multiplicity in non-Bayesian statistics. Not all assignments of prior probabilities adjust for multiplicity
Statistics and Causal Inference PAUL W. HOLLAND*
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
Rich Levine Department of Mathematics and Statistics
Goldberg, Fred M.
Rich Levine Department of Mathematics and Statistics San Diego State University Integrating Change in statistics instruction through the SDSU ITS Course Design Institute (CDI) and the CSU Promising Course Redesign program. The studies consider student success in an online offering of a core applied statistics
Online Course Syllabus STATS 7: Basic Statistics
Loudon, Catherine
Online Course Syllabus Page 1 STATS 7: Basic Statistics Summer Session I 2011 Class Meeting at UC Irvine where she has been teaching statistics for many years. She is also involved in the development of educational material for statistics, from helping to conceive a TV program for distance
Peter Brien Bureau of Justice Statistics
Hemmers, Oliver
Peter Brien Bureau of Justice Statistics Overview Federal law prohibits the transfer of a firearm been convicted of a domestic violence misdemeanor (18 USC § 922(g)). The Bureau of Justice Statistics provides as part of its Firearm Inquiry Statistics (FIST) project. Some of the highlights from the survey
STATISTICS COLLOQUIUM MONDAY, MARCH 24, 2014
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
STATISTICS COLLOQUIUM MONDAY, SEPTEMBER 12, 2011
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
40.530: Statistics Professor Chen Zehua
Chen, Zehua
40.530: Statistics Professor Chen Zehua Singapore University of Design and Technology Professor Chen Zehua 40.530: Statistics #12;Lecture 4: Population and sample, models, Sufficiency and completeness Population, sample and statistic Natural population: A natural population is usually a collection
College of Arts and Sciences STA Statistics
MacAdam, Keith
College of Arts and Sciences STA Statistics KEY: # = new course * = course changed = course dropped University of Kentucky 2013-2014 Undergraduate Bulletin 1 STA 200 STATISTICS: A FORCE IN HUMAN JUDGMENT. (3) This course is concerned with the interaction of the science and art of statistics with our
DEPARTMENT OF STATISTICS University of Wisconsin
Sheridan, Jennifer
REPORT NO. 1173 March 11, 2013 Statistical Model Building, Machine Learning, and the Ah-Ha Moment Grace assorted remarks. Fol- lowing is my contribution. 1 #12;Chapter 1 Statistical Model Building, Machine to young statisticians. We conclude with remarks on issues relating to statistical model building/machine
Inga Maslova Department of Mathematics and Statistics
Lansky, Joshua
Inga Maslova Department of Mathematics and Statistics American University, Washington, D.C. 20016 EXPERIENCE Professor, American University, D.C. Sept 2009 present "Basic Statistics" (Stat202) "Data, and L.Zhu (2010), Statistical significance testing for the association of the magnetometer records
Spatial Autocorrelation and Statistical Tests: Some Solutions
Fortin, Marie Josee
.fortin@utoronto.ca). 188 © 2009 American Statistical Association and the International Biometric Society JournalSpatial Autocorrelation and Statistical Tests: Some Solutions Mark R. T. DALE and Marie problem in analysis, affecting the significance rates of statistical tests, making them too liberal when
Tutorials on AstroStatistics and R
Wolfe, Patrick J.
Tutorials on AstroStatistics and R by Eric Feigelson Jan 29 and Jan 31, 2014 Phillips Auditorium in astronomical research [general interest lecture] 10:00am - 11:00am : Introduction to the R statistical software language [lecture & practicum] 11:00am - 2:30pm : break [EF available for informal statistical consulting
Unsupervised Segmentation for Statistical Machine Translation
Koehn, Philipp
Unsupervised Segmentation for Statistical Machine Translation Siriwan Sereewattana TH E U N I V E R for statistical machine translation. The approach requires no language- nor domain-specific knowledge whatsoever in principle the statistical framework of machine translation can be ap- plied to any language pair
EPSRC CASE Studentship Statistical Modelling of Fingerprints
Oakley, Jeremy
and mathematics together with experience or strong interest in statistical computing (including programming in R1 EPSRC CASE Studentship Statistical Modelling of Fingerprints SUMMARY This CASE studentship involves working with researchers in the Statistics & Interpretation Group of the Forensic Science Service
General Database Statistics Using Entropy Maximization
Suciu, Dan
(z) Estimate: q(y) :- R(x, y), S(y, z) Fig. 1. An example of a Statistical Program and a query, q whoseGeneral Database Statistics Using Entropy Maximization Raghav Kaushik1 , Christopher R´e2 , and Dan engines. The key object of our study is a statistical program, which is a set of pairs (v, d), where v
Nonstationary statistical theory for multipactor
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.
On statistics of molecular chaos
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.
Entanglement distillation using particle statistics
H. L. Huang; L. H. Cheng; X. X. Yi
2005-10-25T23:59:59.000Z
We extend the idea of entanglement concentration for pure states(Phys. Rev. Lett. {\\bf 88}, 187903) to the case of mixed states. The scheme works only with particle statistics and local operations, without the need of any other interactions. We show that the maximally entangled state can be distilled out when the initial state is pure, otherwise the entanglement of the final state is less than one. The distillation efficiency is a product of the diagonal elements of the initial state, it takes the maximum 50%, the same as the case for pure states.
Transportation Statistics Annual Report 1997
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 system—its physical characteristics, its economic attributes, aspects of its use and performance, and the scale and severity of unintended consequences of transportation, such as fatalities and injuries, oil import dependency, and environment impacts. Part I also explores the state of transportation statistics, and new needs of the rapidly changing world of transportation. Second, Part II of the report, as in prior years, explores in detail the performance of the U.S. transportation system from the perspective of desired social outcomes or strategic goals. This year, the performance aspect of transportation chosen for thematic treatment is “Mobility and Access,” which complements past TSAR theme sections on “The Economic Performance of Transportation” (1995) and “Transportation and the Environment” (1996). Mobility and access are at the heart of the transportation system’s performance from the user’s perspective. In what ways and to what extent does the geographic freedom provided by transportation enhance personal fulfillment of the nation’s residents and contribute to economic advancement of people and businesses? This broad question underlies many of the topics examined in Part II: What is the current level of personal mobility in the United States, and how does it vary by sex, age, income level, urban or rural location, and over time? What factors explain variations? Has transportation helped improve people’s access to work, shopping, recreational facilities, and medical services, and in what ways and in what locations? How have barriers, such as age, disabilities, or lack of an automobile, affected these accessibility patterns? How are commodity flows and transportation services responding to global competition, deregulation, economic restructuring, and new information technologies? How do U.S. patterns of personal mobility and freight movement compare with other advanced industrialized countries, formerly centrally planned economies, and major newly industrializing countries? Finally, how is the rapid adoption of new information technologies influencing the patterns of transportation demand and the supply of new transportation services? Indeed, how are information technologies affecting the nature and organization of transportation services used by individuals and firms?
Lectures on probability and statistics
Yost, G.P.
1984-09-01T23:59:59.000Z
These notes are based on a set of statistics lectures delivered at Imperial College to the first-year postgraduate students in High Energy Physics. They are designed for the professional experimental scientist. We begin with the fundamentals of probability theory, in which one makes statements about the set of possible outcomes of an experiment, based upon a complete a priori understanding of the experiment. For example, in a roll of a set of (fair) dice, one understands a priori that any given side of each die is equally likely to turn up. From that, we can calculate the probability of any specified outcome. We finish with the inverse problem, statistics. Here, one begins with a set of actual data (e.g., the outcomes of a number of rolls of the dice), and attempts to make inferences about the state of nature which gave those data (e.g., the likelihood of seeing any given side of any given die turn up). This is a much more difficult problem, of course, and one's solutions often turn out to be unsatisfactory in one respect or another.
Statistical studies of supernova environments
Anderson, Joseph P; Habergham, Stacey M; Galbany, Lluís; Kuncarayakti, Hanindyo
2015-01-01T23:59:59.000Z
Investigations of the environments of SNe allow statistical constraints to be made on progenitor properties. We review progress that has been made in this field. Pixel statistics using tracers of e.g. star formation within galaxies show differences in the explosion sites of, in particular SNe types II and Ibc (SNe II and SNe Ibc), suggesting differences in population ages. Of particular interest is that SNe Ic are significantly more associated with H-alpha emission than SNe Ib, implying shorter lifetimes for the former. In addition, such studies have shown that the interacting SNe IIn do not explode in regions containing the most massive stars, which suggests that at least a significant fraction of their progenitors arise from the lower end of the core-collapse SN mass range. Host HII region spectroscopy has been obtained for a significant number of core-collapse events, however definitive conclusions have to-date been elusive. Single stellar evolution models predict that the fraction of SNe Ibc to SNe II sho...
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
Fitelson, Branden
Branden Fitelson Remarks on the Philosophy of Statistics 0 SOME REMARKS ON THE PHILOSOPHY OF STATISTICS BRANDEN FITELSON Department of Philosophy San Jos´e State University branden@fitelson.org http of Statistics 1 Overview of Presentation · What are the ends of statistical experiment, analysis
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
Workforce Statistics - NA SH | National Nuclear Security Administratio...
National Nuclear Security Administration (NNSA)
Us Our Operations Management and Budget Office of Civil Rights Workforce Statistics Workforce Statistics - NA SH Workforce Statistics - NA SH NA SH FY14 Year End...
Dahl, David B.
2 1 1 1 1 1 2 1 1 12 12 1 34 Variable Hours 4.0 2.0 2.0 36.0 3.0 3.0 3.0 4.0 4.0 6.0 3.0 3.0 35.0 37.0 3.0 6.0 Variable 30.0 120.0 Classes Rel A 121/H & 122/H Rel A 211/H or 212/H Rel C 324/H Statistical Computing 2 4.0 4.0 3.0 3.0 3.0 3.0 1.0 1.0 2.0 3.0 3.0 1.0 3.0 3.0 3.0 3.0 Complete 18 credit
Mining, Using and Maintaining Source Statistics for Adaptive Data Integration
Kambhampati, Subbarao
-Objective Optimization, Statistics Mining, Incremental Maintenance 1. INTRODUCTION The availability of structuredMining, Using and Maintaining Source Statistics for Adaptive Data Integration Jianchun Fan a framework for effectively mining multiple types of statistics including source coverage statistics, inter
Statistical assessment of Monte Carlo distributional tallies
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.
Quantum Statistical Mechanics. III. Equilibrium Probability
Phil Attard
2014-04-10T23:59:59.000Z
Given are a first principles derivation and formulation of the probabilistic concepts that underly equilibrium quantum statistical mechanics. The transition to non-equilibrium probability is traversed briefly.
18.441 Statistical Inference, Spring 2002
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 ...
Essays on microeconomics and statistical decision making
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
Statistical methods for nuclear material management
Bowen W.M.; Bennett, C.A. (eds.) [eds.
1988-12-01T23:59:59.000Z
This book is intended as a reference manual of statistical methodology for nuclear material management practitioners. It describes statistical methods currently or potentially important in nuclear material management, explains the choice of methods for specific applications, and provides examples of practical applications to nuclear material management problems. Together with the accompanying training manual, which contains fully worked out problems keyed to each chapter, this book can also be used as a textbook for courses in statistical methods for nuclear material management. It should provide increased understanding and guidance to help improve the application of statistical methods to nuclear material management problems.
Statistical Mechanics and Quantum Cosmology
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.
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
Washington at Seattle, University of
American Statistical Association Announces 2011 Award Recipients Awards ceremony to be held at Joint Statistical Meetings in Miami Beach, FL MIAMI BEACH, FL (PRWEB) AUGUST 1, 2011 The American Statistical Association (ASA), the nation's preeminent professional statistical society, today announced
BS in ACTUARIAL SCIENCE (695224) MAP Sheet Department of Statistics
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
November 2011 MSc and Diploma in Applied Statistics 2011
Goldschmidt, Christina
;2 Statistical Methods 28 17 3.0 3 Statistical Theory 27 12 5.0 4 Statistical Theory 27 8 5.5 5 R Programming 28November 2011 MSc and Diploma in Applied Statistics 2011: Examiners' Report Part I A STATISTICS (1) Numbers and percentages in each category MSc in Applied Statistics Category Number Percentage 2010
8.334 Statistical Mechanics II: Statistical Mechanics of Fields, Spring 2004
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, ...
Vortex methods and vortex statistics
Chorin, A.J.
1993-05-01T23:59:59.000Z
Vortex methods originated from the observation that in incompressible, inviscid, isentropic flow vorticity (or, more accurately, circulation) is a conserved quantity, as can be readily deduced from the absence of tangential stresses. Thus if the vorticity is known at time t = 0, one can deduce the flow at a later time by simply following it around. In this narrow context, a vortex method is a numerical method that makes use of this observation. Even more generally, the analysis of vortex methods leads, to problems that are closely related to problems in quantum physics and field theory, as well as in harmonic analysis. A broad enough definition of vortex methods ends up by encompassing much of science. Even the purely computational aspects of vortex methods encompass a range of ideas for which vorticity may not be the best unifying theme. The author restricts himself in these lectures to a special class of numerical vortex methods, those that are based on a Lagrangian transport of vorticity in hydrodynamics by smoothed particles (``blobs``) and those whose understanding contributes to the understanding of blob methods. Vortex methods for inviscid flow lead to systems of ordinary differential equations that can be readily clothed in Hamiltonian form, both in three and two space dimensions, and they can preserve exactly a number of invariants of the Euler equations, including topological invariants. Their viscous versions resemble Langevin equations. As a result, they provide a very useful cartoon of statistical hydrodynamics, i.e., of turbulence, one that can to some extent be analyzed analytically and more importantly, explored numerically, with important implications also for superfluids, superconductors, and even polymers. In the authors view, vortex ``blob`` methods provide the most promising path to the understanding of these phenomena.
QUEEN'S UNIVERSITY STAT 367: Engineering Statistics
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
Multimedia Statistical Labs & Toolkit (TILE) Deborah Nolan
Nolan, Deborah
Multimedia Statistical Labs & Toolkit (TILE) Deborah Nolan University of California, Department@research.bell-labs.com 1. Introduction The potential for multimedia to enhance the statistics curriculum is clear, but how to develop instructional materials that take advantage of the riches that multimedia has to offer
Wavelet Methods in Statistics with R
Nason, Guy
Use R! G.P.Nason Use R! Wavelet Methods in Statistics with R WaveletMethodsinStatisticswithR Wavelet methods have recently undergone a rapid period of development with important impli- cations an introduction to wavelets and their uses in statistics; (ii) acting as a quick and broad reference to many
Scientific Data Analysis via Statistical Learning
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
Empirical Comparison of Statistical Pavement Performance Models
sections from the American Association of State Highway Officials AASHO Road Test Highway Research BoardEmpirical Comparison of Statistical Pavement Performance Models Chih-Yuan Chu1 and Pablo L. Durango-Cohen2 Abstract: We conduct an empirical comparison of nine representative statistical pavement
Statistical Model Computation with UDFs Carlos Ordonez
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
NONEQUILIBRIUM QUANTUM STATISTICAL MECHANICS AND THERMODYNAMICS #
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 Âlaw) from nonequilibrium quantum statistical mechanics. Basic thermodynamic notions are clarified and di#erent reversible
On statistical mechanics in noncommutative spaces
S. A. Alavi
2007-09-26T23:59:59.000Z
We study the formulation of quantum statistical mechanics in noncommutative spaces. We construct microcanonical and canonical ensemble theory in noncommutative spaces. We consider for illustration some basic and important examples in the framework of noncommutative statistical mechanics : (i). An electron in a magnetic field. (ii). A free particle in a box. (iii). A linear harmonic oscillator.
Factored Language Models for Statistical Machine Translation
Koehn, Philipp
Factored Language Models for Statistical Machine Translation Amittai E. Axelrod TH E U N I V E R . . . . . . . . . . . . . . . . . . . . . 10 2.4.3 Log-Linear, Phrase-Based Translation Models . . . . . . . . . 11 3 Statistical Language S ITY OF E D I N B U R G H Master of Science by Research Institute for Communicating and Collaborative
Introduction to Statistical Linear Models Spring 2005
of multivariate data and in the language of matrices and vectors. Broad introduction to MATLAB/Octave, R (SSyllabus Introduction to Statistical Linear Models 960:577:01 Spring 2005 Instructor: Farid Statistical Analysis" Fifth edition, Prentice Hall, 2002. Other sources may be required and will be posted
: ( Statistical computing) : (Pi-Wen Tsai)
Tsai, Pi-Wen
computing "methods", with an emphasis on using the R language (http://www.r-project.org/) via an examples-Hastings algorithm, Gibbs sampler. 9. EM algorithm , (a) Rizzo, M. L. (2007), Statistical computing with R : ( Statistical computing) : (Pi-Wen Tsai) E-mail : pwtsai@math.ntnu.edu.tw or pwtsai
Improving Statistical Machine Translation with Monolingual Collocation
Wang, Haifeng
monolingual collocations to improve Statistical Ma- chine Translation (SMT). We make use of the collocation for various kinds of SMT sys- tems and improving phrase table for phrase-based SMT. The experimental re- sults on a phrase-based SMT system and 1.76 BLEU score on a parsing-based SMT system. 1 Introduction Statistical
Mathematics and Statistics College of Engineering
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
Degenerate U- and V -statistics under ergodicity: Asymptotics, bootstrap and applications in statistics Anne Leucht UniversitÂ¨at Hamburg Fachbereich Mathematik, SPST BundesstraÃ?e 55 D-20146 Hamburg.neumann@uni-jena.de Abstract We derive the asymptotic distributions of degenerate U- and V -statistics of stationary
Principles of Statistical Inference Department of Statistics, University of Toronto, Canada
Reid, Nancy
and D. R. Cox Nuffield College, Oxford, UK Abstract Statistical theory aims to provide a foundationPrinciples of Statistical Inference N. Reid Department of Statistics, University of Toronto, Canada, and a common language for summarizing results; ideally the foundations and common language ensure
Topology for statistical modeling of petascale data.
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.
Spin - or, actually: Spin and Quantum Statistics
Juerg Froehlich
2008-02-29T23:59:59.000Z
The history of the discovery of electron spin and the Pauli principle and the mathematics of spin and quantum statistics are reviewed. Pauli's theory of the spinning electron and some of its many applications in mathematics and physics are considered in more detail. The role of the fact that the tree-level gyromagnetic factor of the electron has the value g = 2 in an analysis of stability (and instability) of matter in arbitrary external magnetic fields is highlighted. Radiative corrections and precision measurements of g are reviewed. The general connection between spin and statistics, the CPT theorem and the theory of braid statistics are described.
Scalable k-means statistics with Titan.
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.
Quantum Statistical Processes in the Early Universe
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.
Statistical regimes of random laser fluctuations
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.
On Characterization of Two-Sample U-Statistics
Schechtman, Gideon
On Characterization of Two-Sample U-Statistics E. Schechtman #3; Department of Industrial@wisdom.weizmann.ac.il Abstract A veri#12;able condition for a symmetric statistic to be a two-sample U-statistic is given. As an illustration, we characterize which linear rank statistics with two-sample regression constants are U-statistics
FISHERY STATISTICS I OF THE UNITED STATESmmmMM
^^ FISHERY STATISTICS I OF THE UNITED STATESmmmMM 'f^ gjIP^Ws^WI'l STATISTICAL DIGEST NO. 25 Fish Statistical Digest 25 FISHERY STATISTICS OF THE UNITED STATES 1949 BY A. W. ANDERSON and C. E. PETERSON UNITED. Government Printing Office, Washington 25, D. C. - - - Price $1.25 (paper) #12;Fishery Statistics
Photon statistics dispersion in excitonic composites
G. Ya. Slepyan; S. A. Maksimenko
2006-05-22T23:59:59.000Z
Linear media are predicted to exist whose relative permiability is an operator in the space of quantum states of light. Such media are characterized by a photon statistics--dependent refractive index. This indicates a new type of optical dispersion -- the photon statistics dispersion. Interaction of quantum light with such media modifies the photon number distribution and, in particular, the degree of coherence of light. An excitonic composite -- a collection of noninteracting quantum dots -- is considered as a realization of the medium with the photon statistics dispersion. Expressions are derived for generalized plane waves in an excitonic composite and input--output relations for a planar layer of the material. Transformation rules for different photon initial states are analyzed. Utilization of the photon statistics dispersion in potential quantum--optical devices is discussed.
Generalized binomial distribution in photon statistics
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.
Springer Series in Statistics Trevor Hastie
Tibshirani, Robeert
of Statistical Learning Data Mining,Inference,and Prediction Second Edition #12;This is page v Printer: Opaque. Additive Models, Trees, and Related Methods 10. Boosting and Additive Trees New example from ecology; some
15.075 Applied Statistics, Spring 2003
Newton, Elizabeth
This course is an introduction to applied statistics and data analysis. Topics include collecting and exploring data, basic inference, simple and multiple linear regression, analysis of variance, nonparametric methods, and ...
Statistical Risk Estimation for Communication System Design
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
Statistical analysis of correlated fossil fuel securities
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 ...
Statistical criteria for characterizing irradiance time series.
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.
ALICIA L. CARRIQUIRY Department of Statistics
Carriquiry, Alicia
., Universidad de la RepÃºblica, Uruguay, December, 1981. EXPERIENCE Associate Provost, (three quarter and Biological Statistics, Universidad de la RepÃºblica del Uruguay, Montevideo, Uruguay, March 2009 to date
Intelligent Transportation Systems Deployment Statistics Database
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
Statistical Models for Next Generation Sequencing Data
Wang, Yiyi
2013-04-01T23:59:59.000Z
prior indexed by distances from Gene Ontology (GO). The use of the external biological information yields improvements in statistical power over the original Bayesian discovery procedure. The third model addresses the problem of identifying protein...
Kansas Statistical Abstract 2008 (43rd Edition)
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 ...
Kansas Statistical Abstract 2009 (44th Edition)
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 ...
Calibration in High-Energy Astrophysics Statistical Methods
van Dyk, David
Calibration in High-Energy Astrophysics Statistical Methods Statistical Computation Empirical Illustrations Accounting for Calibration Uncertainty: High Energy Astrophysics and the PCG Sampler David A. van Dyk Accounting for Calibration Uncertainty #12;Calibration in High-Energy Astrophysics Statistical
Indian Agricultural Statistics Research Institute (Indian Council of Agricultural Research)
Rodriguez, Carlos
#12;Indian Agricultural Statistics Research Institute (Indian Council of Agricultural Research, Indian Agricultural Statistics Research Institute (ICAR), Library Avenue, Pusa, New Delhi-110012 : July 2011 All Rights Reserved 2011, Indian Agricultural Statistics Research Institute (ICAR), New Delhi
Estimating Wireless Network Properties with Spatial Statistics and Models
Paris-Sud XI, Université de
Estimating Wireless Network Properties with Spatial Statistics and Models Janne Riihij statistics and models for different estimation problems related to wireless networks. We focus specifically wireless networks. We provide a concise survey of existing techniques from the spatial statistics
Nonparametric Comparison of Densities Based on Statistical Bootstrap
Nonparametric Comparison of Densities Based on Statistical Bootstrap De Brabanter, K.1 , Sahhaf, S. Keywords: Statistical Bootstrap, Variance Stabilization, Least Squares Support Vector Machines, Hypothesis on statistical bootstrap with variance stabilization and a nonparametric kernel density estimator, assisting
Statistical Models for Images: Compression, Restoration and Synthesis
Simoncelli, Eero
/or nonlinear transfor mations, into statistically independent components. The classical approach, and the Sloan Center for Theoretical Neurobiology at NYU. 1. Wavelet Marginal Statistical Model Recently, multiStatistical Models for Images: Compression, Restoration and Synthesis Eero P. Simoncelli Center
"!#$%&'$(0)132"45)(06)7 Mathematics -Math Education -Statistics
Maxwell, Bruce D.
of the American Statistical Association Marty Hamilton · President's Excellence in Teaching Award Ted Hodgson · Montana Chapter of the American Statistical Association Marty Hamilton - Vice President Sherry Heis ¢¡¤£¦¥¨§©¡© "!#¥$©%&¡'¥$©(0)1¥32"45)¤(0¡6)¤¡¤7 Mathematics - Math Education - Statistics MSU
STANLEY WARNER'S CONTRIBUTIONS TO STATISTICALLY BALANCED INFORMATION TECHNOLOGY
Federation? 3. Should the American Statistical Association adopt a program to certify statisticians? 4 Statistical Association, Stanley Warner first presented the issue of measuring the impact of advocacySTANLEY WARNER'S CONTRIBUTIONS TO STATISTICALLY BALANCED INFORMATION TECHNOLOGY Stephen E. Fienberg
Equi-energy sampler with applications in statistical inference and statistical mechanics
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.
Fact #602: December 21, 2009 Freight Statistics by Mode, 2007...
2: December 21, 2009 Freight Statistics by Mode, 2007 Commodity Flow Survey Fact 602: December 21, 2009 Freight Statistics by Mode, 2007 Commodity Flow Survey Results from the...
Bell's fifth position is not supported by supermartingale statistics
J. F. Geurdes
2013-03-19T23:59:59.000Z
It is demonstrated that the supermartingale statistics approach of Gill to the CHSH contrast contains a physical (and statistical) unrealistic assumption.
User Statistics Collection Practices Archives | U.S. DOE Office...
Office of Science (SC) Website
Policies and Processes User Statistics Collection Practices User Statistics Collection Practices Archives User Facilities User Facilities Home User Facilities at a Glance...
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...
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...
Statistical Design, Analysis and Graphics for the Guadalupe
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
Stochastically Lighting Up Galaxies: Statistical Implications of Stellar Clustering
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
The newsletter of the CAMBRIDGE QUATERNARY ISSUE 36 LENT 2007
de Gispert, Adrià
are in western Finland, north- eastern Russia and East Anglia. He will be conducting sedimentological, tectonic
Local asymptotic normality in quantum statistics
Madalin Guta; Anna Jencova
2007-05-24T23:59:59.000Z
The theory of local asymptotic normality for quantum statistical experiments is developed in the spirit of the classical result from mathematical statistics due to Le Cam. Roughly speaking, local asymptotic normality means that the family varphi_{\\theta_{0}+ u/\\sqrt{n}}^{n} consisting of joint states of n identically prepared quantum systems approaches in a statistical sense a family of Gaussian state phi_{u} of an algebra of canonical commutation relations. The convergence holds for all "local parameters" u\\in R^{m} such that theta=theta_{0}+ u/sqrt{n} parametrizes a neighborhood of a fixed point theta_{0}\\in Theta\\subset R^{m}. In order to prove the result we define weak and strong convergence of quantum statistical experiments which extend to the asymptotic framework the notion of quantum sufficiency introduces by Petz. Along the way we introduce the concept of canonical state of a statistical experiment, and investigate the relation between the two notions of convergence. For reader's convenience and completeness we review the relevant results of the classical as well as the quantum theory.
Tennessee Energy Statistics Quarterly. Second quarter 1984
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.
Agile manufacturing from a statistical perspective
Easterling, R.G. [Sandia National Labs., Albuquerque, NM (United States). New Initiatives Dept.
1995-10-01T23:59:59.000Z
The objective of agile manufacturing is to provide the ability to quickly realize high-quality, highly-customized, in-demand products at a cost commensurate with mass production. More broadly, agility in manufacturing, or any other endeavor, is defined as change-proficiency; the ability to thrive in an environment of unpredictable change. This report discusses the general direction of the agile manufacturing initiative, including research programs at the National Institute of Standards and Technology (NIST), the Department of Energy, and other government agencies, but focuses on agile manufacturing from a statistical perspective. The role of statistics can be important because agile manufacturing requires the collection and communication of process characterization and capability information, much of which will be data-based. The statistical community should initiate collaborative work in this important area.
Spin-statistics violations in superstring theory
Jackson, Mark G. [Particle Astrophysics Center and Theory Group, Fermi National Accelerator Laboratory, Batavia, Illinois 60510 (United States)
2008-12-15T23:59:59.000Z
I describe how superstring theory may violate spin statistics in an experimentally observable manner. Reviewing the basics of superstring interactions and how to utilize these to produce a statistical phase, I then apply these ideas to two specific examples. The first is the case of heterotic world sheet linkings, whereby one small closed string momentarily enlarges sufficiently to pass over another, producing such a statistical phase. The second is the braneworld model with noncommutative geometry, whereby matter composed of open strings may couple to a background in which spacetime coordinates do not commute, modifying the field (anti)commutator algebra. I conclude with ways to sharpen and experimentally test these exciting avenues to possibly verify superstring theory.
August 12, 2010 11:8 Journal of Applied Statistics Draft.5 Journal of Applied Statistics
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
STATISTICS and PROBABILITY Statistics is the science and practice of developing
Bolch, Tobias
to understand measurement systems variability, control processes (as #12;in statistical process control or SPC and uncertainty. Origin The word statistics comes from - the modern Latin phrase statisticum collegium (lecture whatever we can observe. This requires us to - plan our observations to control their variability
BS in STATISTICS: Biostatistics Emphasis (695233) MAP Sheet Department of Statistics
Olsen Jr., Dan R.
121. Complete the following statistics core courses: Stat 123 Introduction to R Programming Stat 124 SAS Base Programming Skills Stat 223 Applied R Programming Stat 224 Applied SAS Programming Stat 230 to Reliability Stat 469 Applied Time Series & Forecasting Stat 497R Introduction to Statistical Research Stat 538
Astrophysical Thermonuclear Functions for Boltzmann-Gibbs Statistics and Tsallis Statistics
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.
On the explanation for quantum statistics
Simon Saunders
2005-11-15T23:59:59.000Z
The concept of classical indistinguishability is analyzed and defended against a number of well-known criticisms, with particular attention to the Gibbs' paradox. Granted that it is as much at home in classical as in quantum statistical mechanics, the question arises as to why indistinguishability, in quantum mechanics but not in classical mechanics, forces a change in statistics. The answer, illustrated with simple examples, is that the equilibrium measure on classical phase space is continuous, whilst on Hilbert space it is discrete. The relevance of names, or equivalently, properties stable in time that can be used as names, is also discussed.
Spectral statistics of nearly unidirectional quantum graphs
Maram Akila; Boris Gutkin
2015-03-04T23:59:59.000Z
The energy levels of a quantum graph with time reversal symmetry and unidirectional classical dynamics are doubly degenerate and obey the spectral statistics of the Gaussian Unitary Ensemble. These degeneracies, however, are lifted when the unidirectionality is broken in one of the graph's vertices by a singular perturbation. Based on a Random Matrix model we derive an analytic expression for the nearest neighbour distribution between energy levels of such systems. As we demonstrate the result agrees excellently with the actual statistics for graphs with a uniform distribution of eigenfunctions. Yet, it exhibits quite substantial deviations for classes of graphs which show strong scarring.
Spin, Statistics, and Reflections, II. Lorentz Invariance
Bernd Kuckert; Reinhard Lorenzen
2005-12-21T23:59:59.000Z
The analysis of the relation between modular P$_1$CT-symmetry -- a consequence of the Unruh effect -- and Pauli's spin-statistics relation is continued. The result in the predecessor to this article is extended to the Lorentz symmetric situation. A model $\\G_L$ of the universal covering $\\widetilde{L_+^\\uparrow}\\cong SL(2,\\complex)$ of the restricted Lorentz group $L_+^\\uparrow$ is modelled as a reflection group at the classical level. Based on this picture, a representation of $\\G_L$ is constructed from pairs of modular P$_1$CT-conjugations, and this representation can easily be verified to satisfy the spin-statistics relation.
Statistical data of the uranium industry
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.
arXiv:physics/001003915Oct2000 Maximally Informative Statistics
George, Edward I.
arXiv:physics/001003915Oct2000 Maximally Informative Statistics Maximally Informative Statistics: egeorge@mail.utexas.edu Revision history: April 1996. Presented Bayesian Statistics 6, Valencia, 1998 of sufficiency, relevance, and representation. Maximally informative statistics are shown to minimize a Kullback
What can I do with a degree in Statistics?
Hickman, Mark
What can I do with a degree in Statistics? ENGINEERING Planning your career Choosing a career.canterbury.ac.nz/liaison/best_prep.shtml What is Statistics? Statistics is a rapidly advancing science. It is a very broad subject with many branches. These range from statistical theory to its application in biology, medicine, the social sciences
Statistics Major and Minor www.stat.pitt.edu
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
Chapter 1 The Nature of Probability and Statistics
Hong, Don
Chapter 1 The Nature of Probability and Statistics 1.1 Introduction Definition. Statistics based on probability theory. This chapter introduces the basic concepts of probability and statistics by answering questions like: Â· what are the branches of statistics Â· what are data Â· how are samples selected 1
Computer Models in Astronomy and Statistics Stellar Evolution
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
1 888 939 3333 | cancer.ca Cancer Statistics
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
David S. Stoffer Department of Statistics [412] 624-8496
, Denver, 2008. Fellow, American Statistical Association, 2006. Recipient of the American Statistical Association's Outstanding Statistical Application Award, 1989. Research award from the Earle C. Anthony FundDavid S. Stoffer Department of Statistics [412] 624-8496 University of Pittsburgh [412] 648
Experiences with a Course on \\Web{Based Statistics"
Symanzik, Jürgen
Experiences with a Course on \\Web{Based Statistics" Jurgen Symanzik Natascha Vukasinovic Utah State@sunfs.math.usu.edu Abstract Many Statistics courses have been taught that make use of Web{based statistical tools such as teachware tools, electronic textbooks, and statistical software on the Web. However, to our best knowledge
Teaching Experiences with a Course on ``Web--Based Statistics''
Symanzik, Jürgen
Teaching Experiences with a Course on ``Web--Based Statistics'' J¨urgen Symanzik Natascha@sunfs.math.usu.edu Abstract Many Statistics courses have been taught that make use of Web--based statistical tools such as teachware tools, electronic textbooks, and statistical software on the Web. However, to our best knowledge
Teaching Experiences with a Course on \\Web{Based Statistics"
Symanzik, Jürgen
Teaching Experiences with a Course on \\Web{Based Statistics" Jurgen Symanzik Natascha Vukasinovic@sunfs.math.usu.edu Abstract Many Statistics courses have been taught that make use of Web{based statistical tools such as teachware tools, electronic textbooks, and statistical software on the Web. However, to our best knowledge
Teaching computing in statistical theory courses David R. Hunter
Hunter, David
Teaching computing in statistical theory courses David R. Hunter Department of Statistics of Gentle (2004), who states that ". . . all graduate programs in statistics should offer at least one The Pennsylvania State University June 27, 2005 Abstract Graduate-level instruction in statistical computing need
BS in ACTUARIAL SCIENCE (695224) MAP Sheet Department of Statistics
Seamons, Kent E.
of Statistical Results Stat 330 Introduction to Regression Stat 340 Inference Program Requirements: Complete 496R Academic Internship: Statistics Stat 497R Introduction to Statistical Research RecommendedBS in ACTUARIAL SCIENCE (695224) MAP Sheet Department of Statistics For students entering
10-702: Statistical Machine Learning Syllabus, Spring 2010
Guestrin, Carlos
for the course are to be completed using the R programming lan- guage. R is an 10-702: Statistical Machine Learning Syllabus, Spring 2010 http://www.cs.cmu.edu/~10702 Statistical Machine Learning (10-701) and Intermediate Statistics (36-705). The term "statistical" in the title
Linearity -statistics 1.1B training
Linearity - statistics IPAT 1.1B training 300M training D0 resolution is evaluated using 100k single muon events (same events in all 3 plots). Red is the default 11L FTK bank trained using 300M muons on narrow beam of muons (central eta, fixed phi, high fixed pT). Using two types of training: default FTK
INDIAN STATISTICAL INSTITUTE SQC & OR Unit
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 Â 14th September; 2014 Bangalore #12;EXPECTATION! Six Sigma is like, Dean Witter, Discover & Co. (Report on Business Magazine, October 1997) Six Sigma initiative has
INDIAN STATISTICAL INSTITUTE SQC & OR Unit
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
Spectral statistics for scaling quantum graphs
Yu. Dabaghian
2006-08-09T23:59:59.000Z
The explicit solution to the spectral problem of quantum graphs is used to obtain the exact distributions of several spectral statistics, such as the oscillations of the quantum momentum eigenvalues around the average, $\\delta k_{n}=k_{n}-\\bar k_{n}$, and the nearest neighbor separations, $s_{n}=k_{n}-k_{n-1}$.
Statistical High-Level Synthesis under Process
Giles, C. Lee
designers is process variability, which causes considerable fluctu- ations in performance and power with variability has be- come one of the major design focuses for nanoscale VLSI design. Traditionally, performanceStatistical High-Level Synthesis under Process Variability Yuan Xie and Yibo Chen Pennsylvania
KALMAN FILTERING WITH STATISTICAL STATE CONSTRAINTS
Simon, Dan
KALMAN FILTERING WITH STATISTICAL STATE CONSTRAINTS T. L. Chia ControlSoft Inc. 5387 Avion Park with white process and measurement noise, the Kalman ¯lter is known to be the minimum variance linear state estimator. In the case that the random quantities are Gaussian, then the Kalman ¯lter is the minimim
UNIQUE NUMBERS: 04610, 04620 STATISTICS AND MODELING
Ghosh, Joydeep
. The Statistical Analysis part of the course focuses on determining the existence of relationships between variables and the quantification of such relationships. The main tool we will use to determining the existence of relationships between variables in data and to quantify the strength of the relationships
The University of Chicago Department of Statistics
Stephens, Matthew
of Statistics The University of Chicago Market Efficiency of Crude Oil Futures; A Multivariate Approach THURSDAY, May 12, 2011, at 4:00 PM 110 Eckhart Hall, 5734 S. University Avenue ABSTRACT Crude oil futures commodity, and thus constitute a multivariate framework for describing the cointegrating relationship among
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.
MINI-WORKSHOP ANNOUNCEMENT Department of Statistics
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
ANOVA and Statistical Models R. A. Bailey
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
Wavelet Decomposition Approaches to Statistical Inverse Problems
Abramovich, Felix
Wavelet Decomposition Approaches to Statistical Inverse Problems BY F. ABRAMOVICH Department alternative is the waveletÂvaguelette decomposition method, based on the expansion of the unknown in wavelet series. In the vagueletteÂwavelet decomposition method proposed here, the observed data are expanded
Undergraduate Department of Applied Mathematics and Statistics
Ghosh, Somnath
of the School of Arts and Sciences or the School of Engineering, respectively, and the departmental requirements be admitted early to concurrent graduate work. The department also offers a Minor in Applied Mathematics and Statistics which is open to undergraduate students majoring in any department of the School of Engineering
Heat pump market and statistics report 2013
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
The University of Chicago Department of Statistics
Stephens, Matthew
Department of Statistics The University of Chicago An Empirical Study on Variants of k-Means Clustering which k-means is one of the most mature methods. This paper will talk about its relations with EM and its underlying limitations; an improved k-means algorithm, x-means, will then be discussed
Training Statistics Teachers at Iowa State University*
Froelich, Amy G.
(intro - agricultural and biological) 5 course instructors. · Stat 226 (intro - business) 5 course Instructors Good evaluations = "promoted" to course instructor. #12;5 Training Process Year 2 · Course · Professors-in-Charge involved in Statistics Education. Current accepted "best" practices Mentoring
Interactive Database Access with Statistics and Graphics
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
A Statistical Framework for Spatial Comparative Genomics
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
The University of Chicago Department of Statistics
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
The University of Chicago Department of Statistics
Stephens, Matthew
stocks from the alleged internet dot-com episode of 1998Â2001, 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
QUANTUM STATISTICS OF METASTABLE LIQUID HELIUM
Caupin, FrÃ©dÃ©ric
QUANTUM STATISTICS OF METASTABLE LIQUID HELIUM FRÂ´EDÂ´ERIC CAUPIN AND SÂ´EBASTIEN BALIBAR Laboratoire in the spinodal line of liquid helium 3, for which experimental evidence has been reported. The calculations in the case of superfluid helium 4; we also consider the overpressurized region, and the location
The University of Chicago Department of Statistics
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
DEPARTMENT OF STATISTICS University of Wisconsin
Chung, Moo K.
approach. The theoretical construction and the numerical implementation issues are explainedDEPARTMENT OF STATISTICS University of Wisconsin 1300 University Ave. Madison, WI 53706 TECHNICAL-SPHARM generalizes the classical-SPHARM with an additional parameter that modulates the high frequency content
Report on Activities And Usage Statistics of
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
Remarks on statistical errors in equivalent widths
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.
On diagram algebras and statistical mechanics
Haase, Markus
to discuss relationship structures of towers of diagram algebras statistical mechanical models of many body framework H may have interpretation of Energy (ergodic hypothesis) (as in, the more energy required to sustain a state s, the less likely we are to be in it -- idea being that high energy states are less
STATISTICAL ANALYSIS OF PROTEIN FOLDING KINETICS
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
STATISTICS 579 R Tutorial : Programming in R
Fall 2005 STATISTICS 579 R Tutorial : Programming in R 1. Conditional computation in R: The basic control structure available in R for conditional computation is of the form if (cond) expr-1 else expr-2 where cond is an expression that evaluates to a logical value, expr-1 is an R expression
SYLLABUS MATH 7608 STATISTICAL PROGRAMMING WITH R
Hagen, Thomas
SYLLABUS Â MATH 7608 STATISTICAL PROGRAMMING WITH R SPRING 2014 11:30- 12:25 MWF DUNN HALL 207:00-4:00 MW or by appointment Textbook: Scientific Programming and Simulation Using R, by Owen Jones, Robert will have a due date assigned and will be turned in via drop box. The program must run in R without error
Statistics of dislocation pinning at localized obstacles
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.
Statistical Methods in Surveying by Trilateration
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
Biological Statistics and Computational Biology Seminar Series
Keinan, Alon
Science and the Center for Computational Biology and Bioinformatics at Columbia University. Dr. PeBiological Statistics and Computational Biology Seminar Series Dr. Itsik Pe'er Associate Professor of Computer Science Columbia University Itsik Pe'er is an associate professor in the Department of Computer
Biological Statistics and Computational Biology Seminar Series
Keinan, Alon
. Williams Professor of Biomedical Informations and Co-Director, Yale Computational Biology & Bioinformatics co-director of the Yale Computational Biology and Bioinformatics Program. In addition to the KeckBiological Statistics and Computational Biology Seminar Series Dr. Mark B. Gerstein Albert L
Abolmaesumi, Purang
Finding Statistics & Data at Queen's Sept/08 STATISTICS Facts & figures in tables, charts, time series, graphs, etc. 1. Statistics Canada www.statcan.ca English use the search box... REMEMBER: Don't Pay Contact madgic@queensu.ca to get statistics for free if faced with a fee! 2. Social
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
Botea, Adi
(including the Statistical Consulting Unit) Training in statistics for postgraduates R1: The senior a co-ordinated approach to the statistical training of postgraduate students. R2: If the senior, and which is designed to capture postgraduates in programs where statistics training is not routinely
8.333 Statistical Mechanics I: Statistical Mechanics of Particles, Fall 2007
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 ...
8.333 Statistical Mechanics I: Statistical Mechanics of Particles, Fall 2005
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 ...
8.334 Statistical Mechanics II: Statistical Physics of Fields, Spring 2008
Kardar, Mehran
This is the second term in a two-semester course on statistical mechanics. Basic principles are examined in 8.334, such as the laws of thermodynamics and the concepts of temperature, work, heat, and entropy. Topics from ...
Sadeh, Norman M.
, Lorrie Faith Cranor, Norman Sadeh Carnegie Mellon University Pittsburgh, PA jytsai@andrew.g. "Andrew has been located at 5000 Forbes Ave., Pittsburgh, PA"), or it may be map-based, where the user
Consequences of Flooding on Spectral Statistics
Torsten Rudolf; Normann Mertig; Steffen Löck; Arnd Bäcker
2012-04-05T23:59:59.000Z
We study spectral statistics in systems with a mixed phase space, in which regions of regular and chaotic motion coexist. Increasing their density of states, we observe a transition of the level-spacing distribution P(s) from Berry-Robnik to Wigner statistics, although the underlying classical phase-space structure and the effective Planck constant remain unchanged. This transition is induced by flooding, i.e., the disappearance of regular states due to increasing regular-to-chaotic couplings. We account for this effect by a flooding-improved Berry-Robnik distribution, in which an effectively reduced size of the regular island enters. To additionally describe power-law level repulsion at small spacings, we extend this prediction by explicitly considering the tunneling couplings between regular and chaotic states. This results in a flooding- and tunneling-improved Berry-Robnik distribution which is in excellent agreement with numerical data.
Mathematical and Statistical Opportunities in Cyber Security
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.
Statistical Mechanical Models and Topological Color Codes
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.
Statistical approach to nuclear level density
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.
New paradigms for the statistics profession
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.
Robust statistical reconstruction for charged particle tomography
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.
A different approach to introducing statistical mechanics
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...
Emergent irreversibility and entanglement spectrum statistics
Claudio Chamon; Alioscia Hamma; Eduardo R. Mucciolo
2014-06-24T23:59:59.000Z
We study the problem of irreversibility when the dynamical evolution of a many-body system is described by a stochastic quantum circuit. Such evolution is more general than a Hamiltonian one, and since energy levels are not well defined, the well-established connection between the statistical fluctuations of the energy spectrum and irreversibility cannot be made. We show that the entanglement spectrum provides a more general connection. Irreversibility is marked by a failure of a disentangling algorithm and is preceded by the appearance of Wigner-Dyson statistical fluctuations in the entanglement spectrum. This analysis can be done at the wave-function level and offers an alternative route to study quantum chaos and quantum integrability.
Professor C. N. Yang and Statistical Mechanics
F. Y. Wu
2010-10-09T23:59:59.000Z
Professor Chen Ning Yang has made seminal and influential contributions in many different areas in theoretical physics. This talk focuses on his contributions in statistical mechanics, a field in which Professor Yang has held a continual interest for over sixty years. His Master's thesis was on a theory of binary alloys with multi-site interactions, some 30 years before others studied the problem. Likewise, his other works opened the door and led to subsequent developments in many areas of modern day statistical mechanics and mathematical physics. He made seminal contributions in a wide array of topics, ranging from the fundamental theory of phase transitions, the Ising model, Heisenberg spin chains, lattice models, and the Yang-Baxter equation, to the emergence of Yangian in quantum groups. These topics and their ramifications will be discussed in this talk.
Statistical Issues in Searches for New Physics
Louis Lyons
2014-09-05T23:59:59.000Z
Given the cost, both financial and even more importantly in terms of human effort, in building High Energy Physics accelerators and detectors and running them, it is important to use good statistical techniques in analysing data. Some of the statistical issues that arise in searches for New Physics are discussed briefly. They include topics such as: Should we insist on the 5 sigma criterion for discovery claims? The probability of A, given B, is not the same as the probability of B, given A. The meaning of p-values. What is Wilks Theorem and when does it not apply? How should we deal with the `Look Elsewhere Effect'? Dealing with systematics such as background parametrisation. Coverage: What is it and does my method have the correct coverage? The use of p0 versus p1 plots.
ASTROPHYSICAL FLUID DYNAMICS VIA DIRECT STATISTICAL SIMULATION
Tobias, S. M. [Department of Applied Mathematics, University of Leeds, Leeds LS2 9JT (United Kingdom); Dagon, K.; Marston, J. B., E-mail: smt@maths.leeds.ac.uk [Department of Physics, Brown University, Providence, RI 02912-1843 (United States)
2011-02-01T23:59:59.000Z
In this paper, we introduce the concept of direct statistical simulation for astrophysical flows. This technique may be appropriate for problems in astrophysical fluids where the instantaneous dynamics of the flows are of secondary importance to their statistical properties. We give examples of such problems including mixing and transport in planets, stars, and disks. The method is described for a general set of evolution equations, before we consider the specific case of a spectral method optimized for problems on a spherical surface. The method is illustrated for the simplest non-trivial example of hydrodynamics and magnetohydrodynamics on a rotating spherical surface. We then discuss possible extensions of the method both in terms of computational methods and the range of astrophysical problems that are of interest.
Statistical review of coal in Canada, 1997
Not Available
1999-01-01T23:59:59.000Z
The paper presents an annual review of the coal industry, including production, exports and imports, and consumption. An overview is given, followed by more detailed statistical data for the current year and preceding decade (supply and demand, value and volume of supply by province, coal production by class or province, exports by destination, coal consumed in power generation by province, electrical energy production by fuel type, domestic demand for primary energy by type).
Spectral statistics for weakly correlated random potentials
Frédéric Klopp
2012-10-29T23:59:59.000Z
We study localization and derive stochastic estimates (in particular, Wegner and Minami estimates) for the eigenvalues of weakly correlated random discrete Schr\\"odinger operators in the localized phase. We apply these results to obtain spectral statistics for general discrete alloy type models where the single site perturbation is neither of finite rank nor of fixed sign. In particular, for the models under study, the random potential exhibits correlations at any range.
A comparison of D statistic approaches
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.
ANOVA and Statistical Models R. A. Bailey
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
Statistical analysis in multispectral remote sensing
Albert, Walter Gerald
1970-01-01T23:59:59.000Z
and examines various statistical techniques for their usefulness in crop pre- diction. These techniques include multiple regression, discriminant analysis, and likelihood ratio tests. Other procedures employed in this paper are univsriate and multivariate... analysis of variance. Several transformations are performed on the data, sets in an attempt to increase accuracy for discrimination of crops, Conclu- sions of the work undertaken in this paper are presented, and recommendations are made for further...
Weatherization Assistance Program - Background Data and Statistics
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.
A tree-to-tree model for statistical machine translation
Cowan, Brooke A. (Brooke Alissa), 1972-
2008-01-01T23:59:59.000Z
In this thesis, we take a statistical tree-to-tree approach to solving the problem of machine translation (MT). In a statistical tree-to-tree approach, first the source-language input is parsed into a syntactic tree ...
STATISTICAL MODELS FOR MULTIPLE SEQUENCE ALIGNMENT: UNIFICATIONS AND GENERALIZATIONS
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
Outline of the talk Statistics on Graphs, Exponential Formula and
Poinsot, Laurent
Outline of the talk Statistics on Graphs, Exponential Formula and Combinatorial Physics G and Complexity" Laurent Poinsot Statistics on Graphs, Exponential Formula and Combinatorial Physics #12;Exponential Formula : Informal Version Ingredients for the exponential formula Partial commutative monoids
Statistical estimation of water distribution system pipe break risk
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...
Cloud-Based Statistical Analysis from Users' Perspective Botong Huang
Yang, Jun
efficient statistical analysis programs requires tremendous expertise and effort. Most statisticians would much prefer programming in languages familiar to them, such as R and MATLAB, Copyright 2014 IEEECumulon: Cloud-Based Statistical Analysis from Users' Perspective Botong Huang Department
university-logo Introduction to Statistical Machine Translation
Goldschmidt, Christina
university-logo . . . . . . Introduction to Statistical Machine Translation Phil Blunsom phil Week 6 1 / 47 #12;university-logo . . . . . . Outline . ..1 Introduction . ..2 Parallel corpora . ..3) Statistical Machine Translation Michaelmas Week 6 2 / 47 #12;university-logo . . . . . . Outline . ..1
REANALYSIS OF F-STATISTIC GRAVITATIONAL-WAVE SEARCHES WITH THE HIGHER CRITICISM STATISTIC
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.
ORIGINAL ARTICLE Quantification of the Statistical Effects of Spatiotemporal
Rowe, Daniel B.
that such operations have on the statistical properties of the acquired data are unaccounted for, neuroscientists could
Statistical Properties of the Cluster Dynamics of the Systems of ...
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 ...
Statistics from Lagrangian observations J.H. LaCasce *
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
Statistics Twentyfirst Century Astrometry K. Eichhorn Memorial Lecture
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
Photon statistics: Nonlinear spectroscopy of single quantum systems Shaul Mukamel
Mukamel, Shaul
Photon statistics: Nonlinear spectroscopy of single quantum systems Shaul Mukamel Department of their infor- mation content. A general formal expression for photon counting statistics from single quantum counting statistics which had proven to be a most valuable measure of coherence has been formulated
Statistics for Analysis of Experimental Data Catherine A. Peters
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
Online Course Syllabus STATS 8: Introduction to Biological Statistics
Loudon, Catherine
Online Course Syllabus Page 1 STATS 8: Introduction to Biological Statistics Summer Session II 2011. Baldi is a lecturer at UC Irvine where she has been teaching statistics for many years. She is also involved in the development of educational material for statistics, from helping to conceive a TV program
Helping Doctors and Patients Make Sense of Health Statistics
Heubach, Silvia
Helping Doctors and Patients Make Sense of Health Statistics Gerd Gigerenzer,1,2 Wolfgang, patients, journalists, and politi- cians alike do not understand what health statistics mean or draw wrong conclusions without noticing. Collective statistical illiteracy refers to the widespread inability
DATA MINING AT THE INTERFACE OF COMPUTER SCIENCE AND STATISTICS
Smyth, Padhraic
Chapter 1 DATA MINING AT THE INTERFACE OF COMPUTER SCIENCE AND STATISTICS \\Lambda Padhraic Smyth a better understanding of the role of statistical thinking in modern data mining. Data mining has at the application of a variety of techniques from both computer science and statistics. The chapter discusses how
Explicit Expressions for Moments of Log Normal Order Statistics
Sidorov, Nikita
Explicit Expressions for Moments of Log Normal Order Statistics Saralees Nadarajah First version: 31 December 2006 Research Report No. 23, 2006, Probability and Statistics Group School of Mathematics, The University of Manchester #12;Explicit Expressions for Moments of Log Normal Order Statistics by Saralees
Gille-SIO 221C 1 Objective Mapping: Anisotropic Statistics
Gille, Sarah T.
Gille-SIO 221C 1 Objective Mapping: Anisotropic Statistics Objective mapping discussions often assume that covariance statistics are isotropic and homogeneous. However, in the ocean and atmosphere. The equations used to carry out objective mapping are easily modified to allow for anisotropic statistics
RSM 512 Statistics for Environmental Management Instructor: Elizabeth A. Babcock
Miami, University of
RSM 512 Statistics for Environmental Management Instructor: Elizabeth A. Babcock Division of Marine. Introductory Statistics with R. 2nd Edition. Springer. Course Description: This course is intended for students in the life sciences and environmental sciences who have never taken a statistics class, and who
arXiv:physics/0010039 Maximally Informative Statistics
Wolf, David R.
arXiv:physics/0010039 v1 15 Oct 2000 Maximally Informative Statistics Maximally Informative Statistics David R. Wolf PO 8308, Austin, TX 78713-8308, USA, E-mail: drwolf@realtime.net Dr. Wolf: egeorge@mail.utexas.edu Revision history: April 1996. Presented Bayesian Statistics 6, Valencia, 1998
DATA MINING AT THE INTERFACE OF COMPUTER SCIENCE AND STATISTICS
Smyth, Padhraic
Chapter 1 DATA MINING AT THE INTERFACE OF COMPUTER SCIENCE AND STATISTICS Padhraic Smyth a better understanding of the role of statistical thinking in modern data mining. Data mining has at the application of a variety of techniques from both computer science and statistics. The chapter discusses how
XIAOQIAN SUN As of January 2014 Associate Professor of Statistics
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
Computer Models in Astronomy and Statistics Stellar Evolution
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
Statistical Science 2006, Vol. 21, No. 2, 286298
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
Non resonant transmission modelling with Statistical modal Energy distribution Analysis
Boyer, Edmond
be used as an alternative to Statistical Energy Analysis for describing subsystems with low modal overlap1 Non resonant transmission modelling with Statistical modal Energy distribution Analysis L. Maxit Capelle, F-69621 Villeurbanne Cedex, France Statistical modal Energy distribution Analysis (SmEdA) can
Columbia University Statistics Tian Zheng and Zhiliang Ying
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
Statistical traffic classification by Boosting Support Vector Machines
Statistical traffic classification by Boosting Support Vector Machines Gabriel Gómez Sena Facultad years, traffic classification based on the statistical properties of flows has become an important topic. In this paper we statistically analyze the data length of the first few segments exchanged by a transport flow
"!#$%&'$(0)132"45)(06)7 Mathematics -Math Education -Statistics
Maxwell, Bruce D.
of the American Statistical Association Ken Tiahrt - Chapter Service Award · Mortar Board Professor of the Month of the American Statistical Association Marty Hamilton - President #12; Sherry Heis - Secretary ¢¡¤£¦¥¨§©¡© "!#¥$©%&¡'¥$©(0)1¥32"45)¤(0¡6)¤¡¤7 Mathematics - Math Education - Statistics MSU
Applied Statistics College of Science STAT-BS
Kihara, Daisuke
Applied Statistics College of Science STAT-BS Code-STAP Departmental/Program Major Courses (69/Social Science Written Communication Information Literacy Oral Communication Science Selective Quantitative And Applications (3) STAT 41700 - Statistical Theory or STAT 51700 - Statistical Inference (6-7) Applied STAT
Statistical Computing with R Eric Slud, Math. Dept., UMCP
Maryland at College Park, University of
Statistical Computing with R Eric Slud, Math. Dept., UMCP October 21, 2009 Overview of Course as indicated on the Course Syllabus. These fall roughly into three main headings: (A). R (& SAS) language and implementation of statistical algorithms, primarily in R; and (C). Data analysis and statistical applications
STATISTICS OF PRECIPITATION EXTREMES: QUANTIFYING CONFIDENCE IN TRENDS
Katz, Richard
this situation (e. g., "extRemes" package in open source statistical programming language R) Maximum likelihood1 STATISTICS OF PRECIPITATION EXTREMES: QUANTIFYING CONFIDENCE IN TRENDS Rick Katz Institute in Causes of Trends #12;4 (1) Introduction · Extreme value analysis under stationarity -- Statistical theory
STATISTICS OF EXTREMES IN CLIMATE CHANGE Richard W. Katz
Katz, Richard
analysis available within the open source statistical programming language R. #12;2 OUTLINE Lecture 1 (9STATISTICS 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
statistical computing in R 1 R in Sage
Verschelde, Jan
statistical computing in R 1 R in Sage the language and environment R Monte Carlo integration-37) statistical computing with R 20 November 2013 2 / 46 #12;R R is a language and environment in Sage the language and environment R Monte Carlo integration making plots with R in Sage 2 Statistical
Statistical Computing with R Eric Slud, Math. Dept., UMCP
Maryland at College Park, University of
Statistical Computing with R Eric Slud, Math. Dept., UMCP August 30, 2009 Overview of Course as indicated on the Course Syllabus. These fall roughly into three main headings: (A). R (& SAS) language and implementation of statistical algorithms, primarily in R; and (C). Data analysis and statistical applications
The R environment for statistical computing and Douglas Nychka,
Nychka, Douglas
The R environment for statistical computing and graphics. Douglas Nychka, Emaj · Some History by the National Science Foundation DMS #12;Some History The S language was developed in the Bell labs statistics. Currently R is the primary tool for most research in statistics and is also used extensively for data
Optimizing Statistical Information Extraction Programs Over Evolving Text
Ré, Christopher
Optimizing Statistical Information Extraction Programs Over Evolving Text Fei Chen1, Xixuan Feng2, Christopher R´e2, Min Wang1 1HP Labs China, 2University of Wisconsin-Madison Abstract-- Statistical programs which use a leading statistical model, Conditional Random Fields (CRFs). We show how to model
Optimizing Statistical Information Extraction Programs Over Evolving Text
Ré, Christopher
Optimizing Statistical Information Extraction Programs Over Evolving Text Fei Chen 1 , Xixuan Feng focuses on statistical IE programs which use a leading statistical model, Conditional Random Fields (CRFs 2 , Christopher R´e 3 , Min Wang 4 1,4 HP Labs China, 2,3 University of Wisconsin-Madison 1 fei
Incompatible Statistics and Bell-KS Theorem
Ángel 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.
Special problems in statistical critical pert analysis
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...
Acceleration statistics of heavy particles in turbulence
J. Bec; L. Biferale; G. Boffetta; A. Celani; M. Cencini; A. Lanotte; S. Musacchio; F. Toschi
2005-12-09T23:59:59.000Z
We present the results of direct numerical simulations of heavy particle transport in homogeneous, isotropic, fully developed turbulence, up to resolution $512^3$ ($R_\\lambda\\approx 185$). Following the trajectories of up to 120 million particles with Stokes numbers, $St$, in the range from 0.16 to 3.5 we are able to characterize in full detail the statistics of particle acceleration. We show that: ({\\it i}) The root-mean-squared acceleration $a_{\\rm rms}$ sharply falls off from the fluid tracer value already at quite small Stokes numbers; ({\\it ii}) At a given $St$ the normalised acceleration $a_{\\rm rms}/(\\epsilon^3/\
Independent Statistics & Analysis Drilling Productivity Report
Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688ElectricityLessApril 2015 Independent Statistics
ORISE: Statistical Analyses of Worker Health
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparencyDOENurseResources EnvironmentalStatistical Analyses
On quantum statistics in data analysis
Dusko Pavlovic
2008-05-13T23:59:59.000Z
Originally, quantum probability theory was developed to analyze statistical phenomena in quantum systems, where classical probability theory does not apply, because the lattice of measurable sets is not necessarily distributive. On the other hand, it is well known that the lattices of concepts, that arise in data analysis, are in general also non-distributive, albeit for completely different reasons. In his recent book, van Rijsbergen argues that many of the logical tools developed for quantum systems are also suitable for applications in information retrieval. I explore the mathematical support for this idea on an abstract vector space model, covering several forms of data analysis (information retrieval, data mining, collaborative filtering, formal concept analysis...), and roughly based on an idea from categorical quantum mechanics. It turns out that quantum (i.e., noncommutative) probability distributions arise already in this rudimentary mathematical framework. We show that a Bell-type inequality must be satisfied by the standard similarity measures, if they are used for preference predictions. The fact that already a very general, abstract version of the vector space model yields simple counterexamples for such inequalities seems to be an indicator of a genuine need for quantum statistics in data analysis.
International energy indicators. [Statistical tables and graphs
Bauer, E.K. (ed.)
1980-05-01T23:59:59.000Z
International statistical tables and graphs are given for the following: (1) Iran - Crude Oil Capacity, Production and Shut-in, June 1974-April 1980; (2) Saudi Arabia - Crude Oil Capacity, Production, and Shut-in, March 1974-Apr 1980; (3) OPEC (Ex-Iran and Saudi Arabia) - Capacity, Production and Shut-in, June 1974-March 1980; (4) Non-OPEC Free World and US Production of Crude Oil, January 1973-February 1980; (5) Oil Stocks - Free World, US, Japan, and Europe (Landed, 1973-1st Quarter, 1980); (6) Petroleum Consumption by Industrial Countries, January 1973-December 1979; (7) USSR Crude Oil Production and Exports, January 1974-April 1980; and (8) Free World and US Nuclear Generation Capacity, January 1973-March 1980. Similar statistical tables and graphs included for the United States include: (1) Imports of Crude Oil and Products, January 1973-April 1980; (2) Landed Cost of Saudi Oil in Current and 1974 Dollars, April 1974-January 1980; (3) US Trade in Coal, January 1973-March 1980; (4) Summary of US Merchandise Trade, 1976-March 1980; and (5) US Energy/GNP Ratio, 1947 to 1979.
Cosmological Constraints from Galaxy Cluster Velocity Statistics
Suman Bhattacharya; Arthur Kosowsky
2007-04-20T23:59:59.000Z
Future microwave sky surveys will have the sensitivity to detect the kinematic Sunyaev-Zeldovich signal from moving galaxy clusters, thus providing a direct measurement of their line-of-sight peculiar velocity. We show that cluster peculiar velocity statistics applied to foreseeable surveys will put significant constraints on fundamental cosmological parameters. We consider three statistical quantities that can be constructed from a cluster peculiar velocity catalog: the probability density function, the mean pairwise streaming velocity, and the pairwise velocity dispersion. These quantities are applied to an envisioned data set which measures line-of-sight cluster velocities with normal errors of 100 km/s for all clusters with masses larger than $10^{14}$ solar masses over a sky area of up to 5000 square degrees. A simple Fisher matrix analysis of this survey shows that the normalization of the matter power spectrum and the dark energy equation of state can be constrained to better than 10 percent, and the Hubble constant and the primordial power spectrum index can be constrained to a few percent, independent of any other cosmological observations. We also find that the current constraint on the power spectrum normalization can be improved by more than a factor of two using data from a 400 square degree survey and WMAP third-year priors. We also show how the constraints on cosmological parameters changes if cluster velocities are measured with normal errors of 300 km/s.
International petroleum statistics report, March 1998
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.
Statistical performance of support vector machines
Blanchard, Gilles; Massart, Pascal
2008-01-01T23:59:59.000Z
The support vector machine (SVM) algorithm is well known to the computer learning community for its very good practical results. The goal of the present paper is to study this algorithm from a statistical perspective, using tools of concentration theory and empirical processes. Our main result builds on the observation made by other authors that the SVM can be viewed as a statistical regularization procedure. From this point of view, it can also be interpreted as a model selection principle using a penalized criterion. It is then possible to adapt general methods related to model selection in this framework to study two important points: (1) what is the minimum penalty and how does it compare to the penalty actually used in the SVM algorithm; (2) is it possible to obtain ``oracle inequalities'' in that setting, for the specific loss function used in the SVM algorithm? We show that the answer to the latter question is positive and provides relevant insight to the former. Our result shows that it is possible to...
Statistical Shape Modeling of Cam Femoroacetabular Impingement
Harris, Michael D.; Dater, Manasi; Whitaker, Ross; Jurrus, Elizabeth R.; Peters, Christopher L.; Anderson, Andrew E.
2013-10-01T23:59:59.000Z
In this study, statistical shape modeling (SSM) was used to quantify three-dimensional (3D) variation and morphologic differences between femurs with and without cam femoroacetabular impingement (FAI). 3D surfaces were generated from CT scans of femurs from 41 controls and 30 cam FAI patients. SSM correspondence particles were optimally positioned on each surface using a gradient descent energy function. Mean shapes for control and patient groups were defined from the resulting particle configurations. Morphological differences between group mean shapes and between the control mean and individual patients were calculated. Principal component analysis was used to describe anatomical variation present in both groups. The first 6 modes (or principal components) captured statistically significant shape variations, which comprised 84% of cumulative variation among the femurs. Shape variation was greatest in femoral offset, greater trochanter height, and the head-neck junction. The mean cam femur shape protruded above the control mean by a maximum of 3.3 mm with sustained protrusions of 2.5-3.0 mm along the anterolateral head-neck junction and distally along the anterior neck, corresponding well with reported cam lesion locations and soft-tissue damage. This study provides initial evidence that SSM can describe variations in femoral morphology in both controls and cam FAI patients and may be useful for developing new measurements of pathological anatomy. SSM may also be applied to characterize cam FAI severity and provide templates to guide patient-specific surgical resection of bone.
Minfer: Inferring Motif Statistics From Sampled Edges
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...
de Lijser, Peter
Web sites related to Health Education and Training and Statistics Web sites related to Health Education and Training and Statistics Agency for Healthcare Research and Quality http and Territorial http://www.astho.org/ California Dept. of Health Services-Vital Statistics Data Tables http://www
Ravikumar, B.
Page 246 Statistics Sonoma State University 2008-2010 Catalog Department Of mathematics anD statistics Darwin Hall 114 phone: (707) 664-2368 fax: (707) 664-3535 www.sonoma.edu/math Department chair Ben Ford statistics prOGram aDvisOrs Susan Herring Elaine McDonald-Newman Cora Neal Scott Nickleach a
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.3×10-5 Number of Observations 10 10 10 34 34 4 4 4 #12;A-2 Table A3. Hydraulic properties statistics
of Stretched Polymers Dmitry Ioffea and Yvan Velenikb,1 a Technion b University of Geneva Abstract. We describe some recent results concerning the statistical properties of a self-interacting polymer stretched transition in the attractive case; second, a proof that a semi-directed polymer in quenched random envi
Determinating Timing Channels in Statistically Multiplexed Clouds
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...
Statistical Approach to Quantum Chaotic Ratchets
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.
Statistical Approach to Quantum Chaotic Ratchets
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.
Statistical mechanics of gravitating systems: An Overview
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.
International petroleum statistics report, October 1997
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.
Visual servoing using statistical pressure snakes.
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.
The Statistical Mechanics of Stretched Polymers
Dmitry Ioffe; Yvan Velenik
2009-08-04T23:59:59.000Z
We describe some recent results concerning the statistical properties of a self-interacting polymer stretched by an external force. We concentrate mainly on the cases of purely attractive or purely repulsive self-interactions, but our results are stable under suitable small perturbations of these pure cases. We provide in particular a precise description of the stretched phase (local limit theorems for the end-point and local observables, invariance principle, microscopic structure). Our results also characterize precisely the (non-trivial, direction-dependent) critical force needed to trigger the collapsed/stretched phase transition in the attractive case. We also describe some recent progress: first, the determination of the order of the phase transition in the attractive case; second, a proof that a semi-directed polymer in quenched random environment is diffusive in dimensions 4 and higher when the temperature is high enough. In addition, we correct an incomplete argument from one of our earlier works.
Study of Isoscaling with Statistical Multifragmentation Models
M. B. Tsang; C. K. Gelbke; X. D. Liu; W. G. Lynch; W. P. Tan; G. Verde; H. S. Xu; W. A. Friedman; R. Donangelo; S. R. Souza; C. B. Das; S. Das Gupta; D. Zhabinsky
2001-05-28T23:59:59.000Z
Different statistical multifragmentation models have been used to study isoscaling, i.e. the factorization of the isotope ratios from two reactions, into fugacity terms of proton and neutron number, R21(N,Z)=Y2(N,Z)/Y1(N,Z)=C*exp(a*N+b*Z). Even though the primary isotope distributions are quite different from the final distributions due to evaporation from the excited fragments, the values of a and b are not much affected by sequential decays. a is shown to be mainly sensitive to the proton and neutron composition of the emitting source and may be used to study isospin-dependent properties in nuclear collisions such as the symmetry energy in the equation of state of asymmetric nuclear matter.
International Petroleum Statistics Report, July 1994
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.
Statistical sampling method for releasing decontaminated vehicles
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.
Experimental uncertainty estimation and statistics for data having interval uncertainty.
Kreinovich, Vladik (Applied Biomathematics, Setauket, New York); Oberkampf, William Louis (Applied Biomathematics, Setauket, New York); Ginzburg, Lev (Applied Biomathematics, Setauket, New York); Ferson, Scott (Applied Biomathematics, Setauket, New York); Hajagos, Janos (Applied Biomathematics, Setauket, New York)
2007-05-01T23:59:59.000Z
This report addresses the characterization of measurements that include epistemic uncertainties in the form of intervals. It reviews the application of basic descriptive statistics to data sets which contain intervals rather than exclusively point estimates. It describes algorithms to compute various means, the median and other percentiles, variance, interquartile range, moments, confidence limits, and other important statistics and summarizes the computability of these statistics as a function of sample size and characteristics of the intervals in the data (degree of overlap, size and regularity of widths, etc.). It also reviews the prospects for analyzing such data sets with the methods of inferential statistics such as outlier detection and regressions. The report explores the tradeoff between measurement precision and sample size in statistical results that are sensitive to both. It also argues that an approach based on interval statistics could be a reasonable alternative to current standard methods for evaluating, expressing and propagating measurement uncertainties.
WILLIAM F. EDDY Department of Statistics Phone: (412) 268-2725
, 1980 - American Statistical Association Representative to Section T, 1996 - 2000 American Federation Committee, 1988 American Statistical Association Chair, Editorial Search Committee, The American Applications 1995 - 1998 Associate Head, Department of Statistics 1986 - Professor, Department of Statistics
Statistical static timing analysis considering process variations and crosstalk
Veluswami, Senthilkumar
2005-11-01T23:59:59.000Z
.................................................................................................. 9 D. Testable Paths .......................................................................................... 15 III. SOLUTION METHODOLOGY...................................................................... 17 A. Delay Model................................................................................................ 17 B. Process Variations.................................................................................... 17 C. Crosstalk .................................................................................................. 23 D. Statistical Timing...
8.044 Statistical Physics I, Spring 2003
Greytak, Thomas John, 1940-
Introduction to probability, statistical mechanics, and thermodynamics. Random variables, joint and conditional probability densities, and functions of a random variable. Concepts of macroscopic variables and thermodynamic ...
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...
atw compact statistics: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Structure Engineering Websites Summary: such as DOE (Design Of Experiments), then SPC (Statistical Process Control), and MC (Monte Carlo) simulation, the performance...
REVSTAT Statistical Journal Volume 9, Number 3, November 2011, 227245
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
Statistically downscaling from an Earth System Model of Intermediate
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
Case Studies and Computing: Broadening the scope of statistical education
Nolan, Deborah
Case Studies and Computing: Broadening the scope of statistical education Deborah Nolan University theoretical statis- tics course. Sixty students enrolled in this course, including graduate students
Learning Statistics Using Motivational Videos, Real Data and Free Software
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
A Statistical Analysis of Santa Barbara Ambulance Response in 2006: Performance Under Load
Chang, Joshua C; Schoenberg, Frederic P.
2009-01-01T23:59:59.000Z
The R Language and Environment for Statistical Computing 17R Development Core Team. R: A Language and Environment for Statistical
International petroleum statistics report, February 1998
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.
Statistical Hot Channel Analysis for the NBSR
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.
International petroleum statistics report, June 1999
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.
International petroleum statistics report, April 1997
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.
International petroleum statistics report, April 1998
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.
International petroleum statistics report, June 1998
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.
International petroleum statistics report, August 1994
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.
International petroleum statistics report, December 1998
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.
International petroleum statistics report, July 1998
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.
International petroleum statistics report, January 1999
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.
International petroleum statistics report, May 1998
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.
International petroleum statistics report, June 1997
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.
Proton-Rich Nuclear Statistical Equilibrium
I. R. Seitenzahl; F. X. Timmes; A. Marin-Laflèche; E. Brown; G. Magkotsios; J. Truran
2008-08-14T23:59:59.000Z
Proton-rich material in a state of nuclear statistical equilibrium (NSE) is one of the least studied regimes of nucleosynthesis. One reason for this is that after hydrogen burning, stellar evolution proceeds at conditions of equal number of neutrons and protons or at a slight degree of neutron-richness. Proton-rich nucleosynthesis in stars tends to occur only when hydrogen-rich material that accretes onto a white dwarf or neutron star explodes, or when neutrino interactions in the winds from a nascent proto-neutron star or collapsar-disk drive the matter proton-rich prior to or during the nucleosynthesis. In this paper we solve the NSE equations for a range of proton-rich thermodynamic conditions. We show that cold proton-rich NSE is qualitatively different from neutron-rich NSE. Instead of being dominated by the Fe-peak nuclei with the largest binding energy per nucleon that have a proton to nucleon ratio close to the prescribed electron fraction, NSE for proton-rich material near freeze-out temperature is mainly composed of Ni56 and free protons. Previous results of nuclear reaction network calculations rely on this non-intuitive high proton abundance, which this paper will explain. We show how the differences and especially the large fraction of free protons arises from the minimization of the free energy as a result of a delicate competition between the entropy and the nuclear binding energy.
International petroleum statistics report, December 1997
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.
A Statistical Physics Perspective on Web Growth
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.
International petroleum statistics report, September 1996
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.
Protein Folding: A Perspective From Statistical Physics
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^{\
International petroleum statistics report, March 1999
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.
Nuclear EMC Effect in a Statistical Model
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.
International petroleum statistics report, September 1998
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.
Statistics of particle time-temperature histories.
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.
Statistical theory of turbulent incompressible multimaterial flow
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.
Data Mining: Statistics and More? David J. HAND
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
December 2001 Trevor Hastie, Stanford Statistics 1 Support Vector Machines,
Hastie, Trevor
December 2001 Trevor Hastie, Stanford Statistics 1 Support Vector Machines, Kernel Logistic in Optimization and Computational Algorithms (NTOC2001) December 9-13, 2001, Kyodai-Kaikan, Kyoto, Japan http://www-stat.stanford.edu/hastie/Papers/ivmtalk.pdf #12;December 2001 Trevor Hastie, Stanford Statistics 2 Outline Â· Optimal separating hyperplanes
Representations and Properties of Generalized $A_r$ Statistics
Mohammed Daoud
2006-06-20T23:59:59.000Z
A generalization of $A_r$ statistics is proposed and developed. The generalized $A_r$ quantum statistics is completely specified by a set of Jacobson generators satisfying a set of triple algebraic relations. Fock-Hilbert representations and Bargmann-Fock realizations are derived.
Computational pproach to the Statistical echanics of rotein ol ing
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
Statistics and Quantitative Risk Management for Banking and In-
Embrechts, Paul
Statistics and Quantitative Risk Management for Banking and In- surance Paul Embrechts Risk practice Abstract As an emerging field of applied research, Quantitative Risk Management (QRM) poses a lot management. Topics treated include the use of risk measures in regulation, including their statistical
Mathematical and Statistical Opportunities in Cyber Security Scott Campbell
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
Siegel's formula via Stein's identities Department of Statistics
Liu, Jun
Siegel's formula via Stein's identities Jun S. Liu Department of Statistics Harvard University Abstract Inspired by a surprising formula in Siegel (1993), we find it convenient to compute covariances, even for order statistics, by using Stein (1972)'s identities. Generalizations of Siegel's formula
On the statistical modeling of persistence in total ozone anomalies
Wirosoetisno, Djoko
On the statistical modeling of persistence in total ozone anomalies 1234567 89A64BC7DEF72B4 F9BC4B725CE9393BE647 #12;On the statistical modeling of persistence in total ozone anomalies D. I ozone anomalies on monthly to interannual timescales. Such a model is usually characterized by the Hurst
Frederi G. Viens Professor of Statistics and Mathematics
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
Frederi G. Viens Professor of Statistics and Mathematics
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
QUEEN'S UNIVERSITY STAT 267/367 Engineering Statistics
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
Statistical Approaches to Fault Analysis in Multivariate Process Control
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
CRACK STATISTIC OF CRYSTALLINE SILICON PHOTOVOLTAIC MODULES M. Kntges1
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
Thermodynamics of Statistical Inference by Cells Alex H. Lang,1,*
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
PROGRAMME SPECIFICATION Programme name Mathematical Science with Statistics
Weyde, Tillman
Mathematical Science with Statistics with Placement Award MMath School School of Engineering and Mathematical of mathematical methods and be able to apply these to a range of associated problems. demonstrate a detailed, and computational mathematics, statistics demonstrate a comprehensive and detailed knowledge of the theory
Nonparametric Comparison of Signals Based on Statistical Bootstrap Techniques
Nonparametric Comparison of Signals Based on Statistical Bootstrap Techniques De Brabanter, J propose the use of statistical bootstrap algorithms as an alternative approach. A simulation study estimator, LS-SVM, Ex- ternal Bootstrap. 1 Introduction Detection of signals is a key area in signal
EPI BIO 560 STATISTICAL CONSULTING 0.5 credit
Contractor, Anis
that are reproducible. Lecture topics include sample size and power calculation, data collection, data presentation, selecting appropriate statistical methods, time and project management, report writing, and reproducible representation. · Perform sample size and power analysis by hand and with a statistical software package
Statistical Mechanics of Developable Ribbons L. Giomi1,2
Mahadevan, L.
, carbon (graphene) and molybdenum ribbons, etc. A classical theoretical approach to the study for the statistical mechanics of ribbonlike objects based on a classical geometric formulation of developable surfacesStatistical Mechanics of Developable Ribbons L. Giomi1,2 and L. Mahadevan1 1 School of Engineering
Nonlocal Monte Carlo algorithms for statistical physics applications
Janke, Wolfhard
magnets to polymers or proteins, to mention only a few classical problems. Quantum statistical problems different theoretical approaches such as field theory or series expansions, and, of course, with experimentsNonlocal Monte Carlo algorithms for statistical physics applications Wolfhard Janke1 Institut fu
Wave function statistics and multifractality in disordered systems
Fominov, Yakov
-r ) disorder - ensemble - statistical treatment: mesoscopic fluctuations Classical analogue: Electromagnetic) approach not sufficient Field-theoretical method: -model Wegner 79, Efetov 82 (SUSY) S[Q] dd r Str[-D( QWave function statistics and multifractality in disordered systems Alexander D. Mirlin
Fast Approximate Evaluation of OLAP Queries for Integrated Statistical Data
Shahabi, Cyrus
statistical information about energy prod- ucts from several government agencies, such as the Bureau of Labor Statistics, the Energy Information Administration, and the California Energy Commission. Our architecture has of interactivity that some users require. Second, our system can warehouse the information from the data sources
Electricity Case: Statistical Analysis of Electric Power Outages
Wang, Hai
Electricity Case: Statistical Analysis of Electric Power Outages CREATE Report Jeffrey S. Simonoff: Statistical Analysis of Electric Power Outages CREATE Report July 26, 2005 Jeffrey S. Simonoff (NYU of the United States Department of Homeland Security. #12;0 Electricity Case, Report 3 Electricity Case
Embedding Heterogeneous Data using Statistical Models Amir Globerson1
Chechik, Gal
of similarity is Copyright c 2006, American Association for Artificial In- telligence (www.aaai.org). All rights- ing embeddings from statistical associations. The idea is to find a Euclidean embedding in lowEmbedding Heterogeneous Data using Statistical Models Amir Globerson1 Gal Chechik2 Fernando Pereira
Python for Unified Research in Econometrics and Statistics Roseline Bilina
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
Working Paper 03-24 Statistics and Econometrics Series 05
Ortega, Esther Ruiz
Working Paper 03-24 Statistics and Econometrics Series 05 April 2003 Departamento de Estadística 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
Statistical estimation of multiple faults in aircraft gas turbine engines
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
Decaying $?$ cosmologies and statistical properties of gravitational lenses
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.
From Microstructures to Properties: Statistical Aspects of Computational Materials Science
Ji, Chuanshu
and critical properties Computation of macroscopic properties always takes a center stage in materials scienceFrom Microstructures to Properties: Statistical Aspects of Computational Materials Science Chuanshu Ji 1 Abstract We discuss some statistical aspects in materials science that involve microstructures
Statistical Disclosure Control: Methods and Software Development in
Jureckova, Jana
language and runs under all platforms. Turn your ideas into software easily. #12;Using R for SDC Some and statistical computing. Â is a modern object-oriented high-level programming language and runs under allStatistical Disclosure Control: Methods and Software Development in Matthias Templ Vienna
Mohri, Mehryar
199 CHAPTER 4 Statistical Natural Language Processing 4.0 Introduction The application of statistical methods to natural language processing has been remarkably successful over the past Language Processing Semiring Set 0 1 Boolean {0, 1} 0 1 Probability R+ + × 0 1 Log R {-, +} log + + 0
A Statistical Learning Method for Logic Programs with Distribution
Sato, Taisuke
A Statistical Learning Method for Logic Programs with Distribution Semantics Taisuke SATO Tokyo a joint distribution P F is given to a set F of facts in a logic program DB = F [R where R is a set rigor. Thus symbolic computation and statistical modeling are integrated at semantic level
Statistical Prediction Based on Censored Life Data Luis A. Escobar
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 newÂsample prediction (e.g., using data from a previous sample to make predictions on the future failure time of a new unit
Statistical Prediction Based on Censored Life Data Luis A. Escobar
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
1997 by M. Kostic Ch.4: Probability and Statistics
Kostic, Milivoje M.
1 Â©1997 by M. Kostic Ch.4: Probability and Statistics Variations due to: Â· Measurement System. Â©1997 by M. Kostic Statistical Measurement Theory Â· Sample - a set of measured data Â· Measurand - measured variable Â· (True) mean value: (x') xmean #12;2 Â©1997 by M. Kostic Mean Value and Uncertainty x
Poisson statistics in the high temperature QCD Dirac spectrum
Tamás G. Kovács; Ferenc Pittler
2011-11-15T23:59:59.000Z
We analyze the eigenvalue statistics of the staggered Dirac operator above $T_{c}$ in QCD with 2+1 flavors of dynamical quarks. We use physical quark masses in our simulations. We compare the eigenvalue statistics from several parts of the Dirac spectrum with the predictions of Random Matrix Theory for this universality class and with Poisson statistics. We show that at the low end of the spectrum the eigenmodes are localized and obey Poisson statistics. Above a boundary region the eigenmodes become delocalized and obey Random Matrix statistics. Thus the QCD Dirac spectrum with physical dynamical quarks also has the Poisson to Random Matrix transition previously seen in the quenched SU(2) theory.
Statistical density modification using local pattern matching
Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Mail Stop M888, Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)
2003-10-01T23:59:59.000Z
Statistical density modification can make use of local patterns of density found in protein structures to improve crystallographic phases. A method for improving crystallographic phases is presented that is based on the preferential occurrence of certain local patterns of electron density in macromolecular electron-density maps. The method focuses on the relationship between the value of electron density at a point in the map and the pattern of density surrounding this point. Patterns of density that can be superimposed by rotation about the central point are considered equivalent. Standard templates are created from experimental or model electron-density maps by clustering and averaging local patterns of electron density. The clustering is based on correlation coefficients after rotation to maximize the correlation. Experimental or model maps are also used to create histograms relating the value of electron density at the central point to the correlation coefficient of the density surrounding this point with each member of the set of standard patterns. These histograms are then used to estimate the electron density at each point in a new experimental electron-density map using the pattern of electron density at points surrounding that point and the correlation coefficient of this density to each of the set of standard templates, again after rotation to maximize the correlation. The method is strengthened by excluding any information from the point in question from both the templates and the local pattern of density in the calculation. A function based on the origin of the Patterson function is used to remove information about the electron density at the point in question from nearby electron density. This allows an estimation of the electron density at each point in a map, using only information from other points in the process. The resulting estimates of electron density are shown to have errors that are nearly independent of the errors in the original map using model data and templates calculated at a resolution of 2.6 Å. Owing to this independence of errors, information from the new map can be combined in a simple fashion with information from the original map to create an improved map. An iterative phase-improvement process using this approach and other applications of the image-reconstruction method are described and applied to experimental data at resolutions ranging from 2.4 to 2.8 Å.
A Statistical Framework for Microbial Source Attribution
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.
Equilibrium Statistical-Thermal Models in High-Energy Physics
Abdel Nasser Tawfik
2014-10-25T23:59:59.000Z
We review some recent highlights from the applications of statistical-thermal models to different experimental measurements and lattice QCD thermodynamics, that have been made during the last decade. We start with a short review of the historical milestones on the path of constructing statistical-thermal models for heavy-ion physics. We discovered that Heinz Koppe formulated in 1948 an almost complete recipe for the statistical-thermal models. In 1950, Enrico Fermi generalized this statistical approach, in which he started with a general cross-section formula and inserted into it simplifying assumptions about the matrix element of the interaction process that likely reflects many features of the high-energy reactions dominated by density in the phase space of final states. In 1964, Hagedorn systematically analysed the high-energy phenomena using all tools of statistical physics and introduced the concept of limiting temperature based on the statistical bootstrap model. It turns to be quite often that many-particle systems can be studied with the help of statistical-thermal methods. The analysis of yield multiplicities in high-energy collisions gives an overwhelming evidence for the chemical equilibrium in the final state. The strange particles might be an exception, as they are suppressed at lower beam energies. However, their relative yields fulfill statistical equilibrium, as well. We review the equilibrium statistical-thermal models for particle production, fluctuations and collective flow in heavy-ion experiments. We also review their reproduction of the lattice QCD thermodynamics at vanishing and finite chemical potential. During the last decade, five conditions have been suggested to describe the universal behavior of the chemical freeze out parameters.
Neutrino statistics and non-standard commutation relations
A. Yu. Ignatiev; V. A. Kuzmin
2005-10-16T23:59:59.000Z
Recently it was suggested that the neutrino may violate the Pauli exclusion Principle (PEP). This renews interest in the systematic search for bilinear commutation relations that could describe deviations from PEP. In the context of this search we prove a no-go theorem which forbids a finite occupancy limit for an arbitrary system with a bilinear commutation relation. In other words, either the upper limit on the occupancy number is 1 (the ordinary fermionic case) or there is no upper limit at all. Some examples of the latter class include the usual Bose statistics, as well as non-standard quon statistics and infinite statistics.
Testing Photons' Bose-Einstein Statistics With Compton Scattering
Brett Altschul
2010-08-27T23:59:59.000Z
It is an empirical question whether photons always obey Bose-Einstein statistics, but devising and interpreting experimental tests of photon statistics can be a challenge. The nonrelativistic cross section for Compton scattering illustrates how a small admixture nu of wrong-sign statistics leads to a loss of gauge invariance; there is a large anomalous amplitude for scattering timelike photons. Nevertheless, one can interpret the observed transparency of the solar wind plasma at low frequencies as a bound nu < 10^(-25) if Lorentz symmetry is required. If there is instead a universal preferred frame, the bound is nu < 10^(-14), still strong compared with previous results.
Statistical Tools for Analyzing the Cosmic Ray Energy Spectrum
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.
Statistical Anisotropies in Gravitational Waves in Solid Inflation
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.
The effect of Coulombic friction on spatial displacement statistics
Menzel, Andreas M
2010-01-01T23:59:59.000Z
The phenomenon of Coulombic friction enters the stochastic description of dry friction between two solids and the statistic characterization of vibrating granular media. Here we analyze the corresponding Fokker-Planck equation including both velocity and spatial components, exhibiting a formal connection to a quantum mechanical harmonic oscillator in the presence of a delta potential. Numerical solutions for the resulting spatial displacement statistics show a crossover from exponential to Gaussian displacement statistics. We identify a transient intermediate regime that exhibits multiscaling properties arising from the contribution of Coulombic friction. These results are relevant to recent experimental studies of the displacement of colloidal particles along bilayer membrane tubes.
The effect of Coulombic friction on spatial displacement statistics
Andreas M. Menzel; Nigel Goldenfeld
2011-06-23T23:59:59.000Z
The phenomenon of Coulombic friction enters the stochastic description of dry friction between two solids and the statistic characterization of vibrating granular media. Here we analyze the corresponding Fokker-Planck equation including both velocity and spatial components, exhibiting a formal connection to a quantum mechanical harmonic oscillator in the presence of a delta potential. Numerical solutions for the resulting spatial displacement statistics show a crossover from exponential to Gaussian displacement statistics. We identify a transient intermediate regime that exhibits multiscaling properties arising from the contribution of Coulombic friction. The possible role of these effects during observations in diffusion experiments is shortly discussed.
Zhang, Li-Xin
of Order Statistics Mathematical Statistics Chapter Two. Preliminary on Sampling Distribution #12;Â§2.1 Introduction Â§2.2 Distributions of Samples from a Normal Population Â§2.3 Distributions of Order Statistics Chapter Two. Preliminary on Sampling Distribution The primary objective of StatisticsTo make inferences
van Dorp, Johan René
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
Energy conservation, counting statistics, and return to equilibrium
Jaksic, Vojkan
Energy conservation, counting statistics, and return to equilibrium V. JaksiÂ´c1 , J. Panangaden1 lim t QS(, t), QR = lim 0 lim t QR(, t). As a consequence of energy conservation, we expect that QS
Statistical Image Reconstruction Algorithms Using Paraboloidal Surrogates for PET Transmission
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
Application of statistical learning theory to plankton image analysis
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 ...
Quantum entanglement of particles on a ring with fractional statistics
Hongli Guo; Yajiang Hao; Shu Chen
2009-06-02T23:59:59.000Z
In this paper we investigate the von Neumann entropy in the ground state of one-dimensional anyonic systems with the repulsive interaction. Based on the Bethe-ansatz method, the entanglement properties for the arbitrary statistical parameter ($0\\leq\\kappa\\leq1$) are obtained from the one-particle reduced density matrix in the full interacting regime. It is shown that the entanglement entropy increases with the increase in the interaction strength and statistical parameter. The statistic parameter affects the entanglement properties from two aspects: renormalizing of the effective interaction strength and introducing an additional anyonic phase. We also evaluate the entanglement entropy of hard-core anyons for different statistical parameters in order to clarify solely the effect induced by the anyonic phase.
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...
Photovoltaic Lifetime & Degradation Science Statistical Pathway Development: Acrylic Degradation
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
Data analysis using the Gnu R system for statistical computation
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.
The Cost of Conserved Energy As An Investment Statistic
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...
Trends in the Statistical Assessment of Reliability William Q. Meeker
traces some of the history of the development of statistical methods for reliability assessment and makes of manufactured products that we have seen over the past 30 years (e.g., in automobiles manufactured in the United
Improving constraints on the neutrino mass using sufficient statistics
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_\
Conditional and unconditional acceleration statistics in turbulence B. L. Sawforda)
Yeung, P. K.
particle is very difficult and has only recently been achieved in labo- ratory flows.2Â6 Earlier simu- lations DNS 11Â15 have made it possible to calculate accel- eration statistics directly
Proceedings of a Workshop on Statistics on Networks
Kleinfeld, David
ON APPLIED AND THEORETICAL STATISTICS EDWARD J. WEGMAN, Chair, George Mason University DAVID L. BANKS, Duke SUGIHARA, University of California at San Diego EDWARD J. WEGMAN, George Mason University LAI-SANG YOUNG
Great Lakes Water Level Statistics Primary Investigator: Cynthia Sellinger
Great Lakes Water Level Statistics Primary Investigator: Cynthia Sellinger Overview Extreme Great disruption throughout the Great Lakes system. Reliable lake level frequency distributions are a critical of monthly lake levels reflect secular changes in connecting channel hydraulics, watershed hydrologic
Eutrophication risk assessment in coastal embayments using simple statistical models
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. Ã? 2003 Elsevier Ltd. All rights reserved. Keywords: Eutrophication; Coastal
ASTRONOMY BIOLOGY CHEMISTRY COMPUTER-SCIENCE GEOGRAPHY MATHEMATICS PHYSICS STATISTICS
Bernstein, Phil
BIOMEDICAL-ENGINEERING ELECTRONIC- ENGINEERING ASTRONOMY BIOLOGY CHEMISTRY COMPUTER-SCIENCE GEOGRAPHY MATHEMATICS PHYSICS STATISTICS HEALTHCARE BIOMEDICAL-ENGINEERING ELECTRONIC-ENGINEERING ASTRONOMY BIOLOGY C H HEALTHCARE BIOMEDICAL-ENGINEERING ELECTRONIC-ENGINEERING ASTRONOMY BIOLOGY CHEMISTRY COMPUTER
PROGRAMME SPECIFICATION Programme name Mathematical Science with Statistics
Weyde, Tillman
Mathematical Science with Statistics with Placement Award BSc (Hons) School School of Engineering of pure mathematics. demonstrate a comprehensive knowledge of mathematical methods and be able to apply mathematics, applied and applicable mathematics, and computational mathematics. demonstrate a comprehensive
Economics, Mathematics, Statistics MONTANA STATE UNIVERSITY BOZEMAN MOUNTAINS & MINDS
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
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...
8.592 Statistical Physics in Biology, Spring 2003
Kardar, Mehran
A survey of problems at the interface of statistical physics and modern biology: Bioinformatic methods for extracting information content of DNA; gene finding, sequence comparison, phylogenetic trees. Physical interactions ...
Statistical Methods for Enhanced Metrology in Semiconductor/Photovoltaic Manufacturing
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
Statistical analysis and transfer of coarse-grain pictorial style
Bae, Soonmin
2005-01-01T23:59:59.000Z
We show that image statistics can be used to analyze and transfer simple notions of pictorial style of paintings and photographs. We characterize the frequency content of pictorial styles, such as multi-scale, spatial ...
AN EDGEWORTH EXPANSION FOR SYMMETRIC FINITE POPULATION STATISTICS
Bielefeld, University of
; 2 M. BLOZNELIS, F. G Â¨ OTZE in the Erdï¿½osÂR'enyi central limit theorem was studied by Bikelis (1972 asymptotically normal symmetric statistics of independent and identically distributed observations was developed
Statistical analysis of Single Nucleotide Polymorphism microarrays in cancer
Paris-Sud XI, UniversitÃ© 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
INTRODUCTION TO STATISTICAL NEURODYNAMICS: EFFECTS OF ADDITIVE AND PARAMETRIC NOISE
Milton, John G.
Department of Neurology Committees on Neurobiology & Computational Neuroscience The University of ChicagoINTRODUCTION TO STATISTICAL NEURODYNAMICS: EFFECTS OF ADDITIVE AND PARAMETRIC NOISE John Milton current first attracted the attention of neurobiologists to the presence of ion channels, or pores
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...
Statistical Error analysis of Nucleon-Nucleon phenomenological potentials
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.
Self-assessed performance improves statistical fusion of image labels
Bryan, Frederick W., E-mail: frederick.w.bryan@vanderbilt.edu; Xu, Zhoubing; Asman, Andrew J.; Allen, Wade M. [Electrical Engineering, Vanderbilt University, Nashville, Tennessee 37235 (United States)] [Electrical Engineering, Vanderbilt University, Nashville, Tennessee 37235 (United States); Reich, Daniel S. [Translational Neuroradiology Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland 20892 (United States)] [Translational Neuroradiology Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland 20892 (United States); Landman, Bennett A. [Electrical Engineering, Vanderbilt University, Nashville, Tennessee 37235 (United States) [Electrical Engineering, Vanderbilt University, Nashville, Tennessee 37235 (United States); Biomedical Engineering, Vanderbilt University, Nashville, Tennessee 37235 (United States); and Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee 37235 (United States)
2014-03-15T23:59:59.000Z
Purpose: Expert manual labeling is the gold standard for image segmentation, but this process is difficult, time-consuming, and prone to inter-individual differences. While fully automated methods have successfully targeted many anatomies, automated methods have not yet been developed for numerous essential structures (e.g., the internal structure of the spinal cord as seen on magnetic resonance imaging). Collaborative labeling is a new paradigm that offers a robust alternative that may realize both the throughput of automation and the guidance of experts. Yet, distributing manual labeling expertise across individuals and sites introduces potential human factors concerns (e.g., training, software usability) and statistical considerations (e.g., fusion of information, assessment of confidence, bias) that must be further explored. During the labeling process, it is simple to ask raters to self-assess the confidence of their labels, but this is rarely done and has not been previously quantitatively studied. Herein, the authors explore the utility of self-assessment in relation to automated assessment of rater performance in the context of statistical fusion. Methods: The authors conducted a study of 66 volumes manually labeled by 75 minimally trained human raters recruited from the university undergraduate population. Raters were given 15 min of training during which they were shown examples of correct segmentation, and the online segmentation tool was demonstrated. The volumes were labeled 2D slice-wise, and the slices were unordered. A self-assessed quality metric was produced by raters for each slice by marking a confidence bar superimposed on the slice. Volumes produced by both voting and statistical fusion algorithms were compared against a set of expert segmentations of the same volumes. Results: Labels for 8825 distinct slices were obtained. Simple majority voting resulted in statistically poorer performance than voting weighted by self-assessed performance. Statistical fusion resulted in statistically indistinguishable performance from self-assessed weighted voting. The authors developed a new theoretical basis for using self-assessed performance in the framework of statistical fusion and demonstrated that the combined sources of information (both statistical assessment and self-assessment) yielded statistically significant improvement over the methods considered separately. Conclusions: The authors present the first systematic characterization of self-assessed performance in manual labeling. The authors demonstrate that self-assessment and statistical fusion yield similar, but complementary, benefits for label fusion. Finally, the authors present a new theoretical basis for combining self-assessments with statistical label fusion.
A statistical analysis of lead concentrations in human lung samples
Stringer, Claude Allen
1973-01-01T23:59:59.000Z
A STATISTICAL ANALYSIS OF LEAD CONCENTRATIONS IN HUMAN LUNG SAMPLES A Thesis by CLAUDE ALLEN STRINGER, JR. Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the degree of MASTER... OF SCIENCE May 1973 Major Subject: Chemistry A STATISTICAL ANALYSIS OF LEAD CONCENTRATIONS IN HUMAN LUNG SAMPLES A Thesis CLAUDE ALLEN STRINGER, JR. Approved as to style and content by: (Chairman of Commi e) (Head of Department) C Member (Memb...
Spin Glass: A Bridge between quantum computation and statistical mechanics
Masayuki Ohzeki
2012-04-24T23:59:59.000Z
We show two fascinating topics lying between quantum information processing and statistical mechanics. First, we introduce an elaborated technique, the surface code, to prepare the particular quantum state with robustness against decoherence. Second, we show another interesting technique to employ quantum nature, quantum annealing. Through both of the topics, we would shed light on the birth of the interdisciplinary field between quantum mechanics and statistical mechanics.
Statistical exponential families: A digest with flash cards
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.
An economic and statistical analysis of pecan prices
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...
Understanding Data Better with Bayesian and Global Statistical Methods
William H. Press
1996-04-22T23:59:59.000Z
To understand their data better, astronomers need to use statistical tools that are more advanced than traditional ``freshman lab'' statistics. As an illustration, the problem of combining apparently incompatible measurements of a quantity is presented from both the traditional, and a more sophisticated Bayesian, perspective. Explicit formulas are given for both treatments. Results are shown for the value of the Hubble Constant, and a 95% confidence interval of 66 < H0 < 82 (km/s/Mpc) is obtained.