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
Janice Bryant Howroyd | Department of Energy
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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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACT EVALUATIONIntroducing theActivation byIsJagJames M.to:Draft ANos.Janice
High Energy Forages for Grass-Finishing Beef Kim Cassida, Jason Rowntree, Matt Raven, Janice Harte phase of the research will be conducted by Matt Raven, Janice Harte, Jeannine Schweihofer, and Sarah
Training and Technology Janice Smiths story
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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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With U.S.Week DayDr.Theories81TowardsTrackingCarbon DioxideJanice
Cantlon, Jessica F.
Writing for the Web--Some Guidelines Recommended reading: Letting Go of the Words: Writing Web Content that Works by Janice (Ginny) Redish Web content
Employee Spotlight: Janice Lovato
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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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submitKansas NuclearElectronic StructureEly M.EmilioDave Keller June 2, 2014 It's
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM MATTHEW STEPHENS Departments of Statistics and Human statistical methods in genomics, among other areas of application. A typical workflow consists of i
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM KAMIAR RAD Department of Statistics Columbia carrying a finite total amount of information, the asymptotic sufficient statistics of the stimulus
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM HUIBIN ZHOU Department of Statistics Yale University to obtain statistical inference for estimation of Gaussian Graphical Model? A regression approach
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM GOURAB MUKHERJEE Department of Statistics Stanford directions in statistical probability forecasting. Building on these parallels we present a frequentist
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM INGRAM OLKIN Department of Statistics Stanford probability, statistics, combinatorics and graphs, numerical analysis and matrix theory. Special emphasis
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM ZONGMING MA Department of Statistics University (CCA) is a widely used multivariate statistical technique for exploring the relation between two sets
Crow, Ben D
2006-01-01
of Globalization: Statistics Weiss, L. (1997). "of Globalization: Statistics Milanovic, B. (1999). Truethe focus of global statistics, particularly in relation to
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
LeeAnn Martinez (505) 667-3308 Email Find Expertise header Search our employee skills database Statistical Sciences Statistical Sciences provides statistical reasoning and...
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM Joint seminar with Stevanovich Center PHILIPPE RIGOLLET Operations Research and Financial Engineering, Princeton University The Statistical Price to Pay ABSTRACT Computational limitations of statistical problems have largely been ignored or simply over- come
32. Statistics 1 32. STATISTICS
Masci, Frank
an overview of statistical methods used in High Energy Physics. In statistics, we are interested in using and their statistical uncertainties in High Energy Physics. In Bayesian statistics, the interpretation of probability32. Statistics 1 32. STATISTICS Revised September 2007 by G. Cowan (RHUL). This chapter gives
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
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM PO-LING LOH Department of Statistics University the seminar in Eckhart 110 ABSTRACT Noisy and missing data are prevalent in many real-world statistical, and provide theoretical guarantees for the statistical consistency of our methods. Although our estimators
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM ERNST WIT Statistics and Probability University devices collect a lot of information, typically about few independent statistical subjects or units statistics. In certain special cases the method can be tweaked to obtain L1-penalized GLM solution paths
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM NOUREDDINE EL KAROUI Department of Statistics will discuss the behavior of widely used statistical methods in the high-dimensional setting where the number surprising statistical phenomena occur: for instance, maximum likelihood methods are shown to be (grossly
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM GONGJUN XU Department of Statistics Columbia University Statistical Inference for Diagnostic Classification Models MONDAY, February 18, 2013 at 4:00 PM-driven construction (estimation) of the Q-matrix and related statistical issues of DCMs. I will first give
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM ROBERT NOWAK Department of Electrical and Computer-dimensional statistical models to capture the complexity of such problems. Most of the work in this direction has focused of statistical inference. These procedures automatically adapt the measurements in order to focus and optimize
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM SRIRAM SANKARARAMAN Department of Genetics Harvard Medical School Statistical Models for Analyzing Ancient Human Admixture WEDNESDAY, January 21, 2015, at 4 become available, as well as appropriate statistical models. In the first part of my talk, I will focus
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM PIOTR ZWIERNIK Department of Mathematics University of Genoa Understanding Statistical Models Through Their Geometry MONDAY, January 26, 2015, at 4:00 PM and Gaussian statistical models have a rich geometric structure and can be often viewed as algebraic sets
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
Michele Arzano; Dario Benedetti
2008-09-04
Non-commutative quantum field theories and their global quantum group symmetries provide an intriguing attempt to go beyond the realm of standard local quantum field theory. A common feature of these models is that the quantum group symmetry of their Hilbert spaces induces additional structure in the multiparticle states which reflects a non-trivial momentum-dependent statistics. We investigate the properties of this "rainbow statistics" in the particular context of $\\kappa$-quantum fields and discuss the analogies/differences with models with twisted statistics.
Hunter, David
, following the publication of Venables & Ripley (1994). [See p. 1. Where that takes a significantly betterPlus include dynamic graphics (x6.3, brush and spin) and the classical statistics functions (x9 environment. It will help to have the library ripley available --- it should be in the same source
Jan de Leeuw
2011-01-01
with Real Data ? Annals Statistics, of 5:1055-1098, 1977.The Foundations of Statistics - Are There Any ? Synthese, [Statistics and the Sciences Jan de Leeuw UCLA Statistics
J. Mark Heinzle; Claes Uggla
2012-12-21
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.
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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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0 - 19PortalStatus UpdatesUsage Statistics Usage
Generalizations of quantum statistics
O. W. Greenberg
2008-05-02
We review generalizations of quantum statistics, including parabose, parafermi, and quon statistics, but not including anyon statistics, which is special to two dimensions.
Computing and Introductory Statistics
Kaplan, Daniel
2007-01-01
W. , (2007) The Introductory Statistics Course: A PtolemaicTechnology Innovations in Statistics Education,1, Article 1.and Introductory Statistics Daniel T. Kaplan Macalester
Statistical Software - Overview
de Leeuw, Jan
2010-01-01
Review of Statistical Software. International As- sociationStatistical Methods Need Software: A View of Statisti- calJournal of Statistical Software, 13, 2004. URL http://www.
Statistical Software - Overview
Jan De Leeuw
2011-01-01
Review of Statistical Software. International As- sociationStatistical Methods Need Software: A View of Statisti- calJournal of Statistical Software, 13, 2004. URL http://www.
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
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 ...
Office of Energy Efficiency and Renewable Energy (EERE)
This page provides EERE Web statistics for all office and corporate websites that opted to use EERE's analytics account. Webtrends statistics for Fiscal Year 2009 (FY09) to FY11 are available for...
Office of Energy Efficiency and Renewable Energy (EERE)
EERE uses Google Analytics to capture statistics on its websites. These statistics help website managers measure and report on users, sessions, most visited pages, and more. The Web Template...
MATHMATICS & APPLIED STATISTICS
Frey, Jesse C.
MATHMATICS & APPLIED STATISTICS Graduate Studies in Build Your Future with Graduate Study in Mathematics or Applied Statistics Our graduate programs can help you advance your career in education will deepen your knowledge and prepare you for further study. The Master of Science in Applied Statistics
Statistics and Actuarial Science
Chauve, Cedric
SCIENCE SFU.CA/ SCIENCE Statistics and Actuarial Science #12;Further Information Student info, academic calendar, registration students.sfu.ca Science advising sfu.ca/science/undergrad/advising Statistics and Actuarial Science The Department of Statistics and Actuarial Science offers the degree
Physics 630 Statistical Physics
Kioussis, Nicholas
strongly the issue of problem solving and understanding of the main concepts in Statistical PhysicsPhysics 630 Statistical Physics Spring 2005 Logistics Lecture Room: 1100 (Science I, 1st floor (Supplement) Introduction to Modern Statistical Mechanics, by David Chandler, Oxford Objectives This course
MICHIGAN STATE UNIVERSITY Janice A. Beecher, Ph.D. (2014)
2014-01-01
pumpage (2009-2014) #12;} 14Beecher NARUC 2014 Falling water usage Aggregate, per-connection, and per-capita-register (minor role) } Effects of recession on economy and income (temporary?) } Cost-driven price effects on discretionary use (elasticity) Per-capita or per-function } Efficiency standards (EPAct 1992), codes
Janices start at Training & Technology
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACT EVALUATIONIntroducing theActivation byIsJagJames M.to:Draft
Key China Energy Statistics 2011
Levine, Mark
2013-01-01
Source: National Bureau of Statistics (NBS), China EnergyNations Commodity Trade Statistics Database. New York:National Bureau of Statistics of the People's Republic of
Key China Energy Statistics 2012
Levine, Mark
2013-01-01
Nations Commodity Trade Statistics Database. New York:National Bureau of Statistics of the People's Republic ofYearbook. Beijing: China Statistics Press. 2. Transformation
Statistics and the Modern Student
Robert Gould
2011-01-01
Technology Innovations in Statistics Education, 3(1). Wild,the "wider view" of statistics, The American Statistician,a History of Teaching Statistics, Edinburgh: John Bibby (
Statistics and the Modern Student
Gould, Robert
2010-01-01
Technology Innovations in Statistics Education, 3(1). Wild,the "wider view" of statistics, The American Statistician,a History of Teaching Statistics, Edinburgh: John Bibby (
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 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
F. Benatti; M. Fannes
1998-11-26
We use multi-time correlation functions of quantum systems to construct random variables with statistical properties that reflect the degree of complexity of the underlying quantum dynamics.
Kevin Cahill
2006-12-24
The way a field transforms under rotations determines its statistics--as is easy to see for scalar, Dirac, and vector fields.
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
Weakly sufficient quantum statistics
Katarzyna Lubnauer; Andrzej ?uczak; Hanna Pods?dkowska
2009-11-23
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.
Statistics Statistique Canada Canada
Canada Dveloppement social Canada Culture,Tourism and the Centre for Education Statistics Doctoral, Tourism and the Centre for Education Statistics Division Main Building, Room 2001, Ottawa, K1A 0T6 to access the product This product, Catalogue no. 81-595-M, is available for free in electronic format
Statistics of football dynamics
Mendes, R S; Anteneodo, C
2007-01-01
We investigate the dynamics of football matches. Our goal is to characterize statistically the temporal sequence of ball movements in this collective sport game, searching for traits of complex behavior. Data were collected over a variety of matches in South American, European and World championships throughout 2005 and 2006. We show that the statistics of ball touches presents power-law tails and can be described by $q$-gamma distributions. To explain such behavior we propose a model that provides information on the characteristics of football dynamics. Furthermore, we discuss the statistics of duration of out-of-play intervals, not directly related to the previous scenario.
Statistics 36-756: Advanced Statistics II Syllabus: Fall, 2006
Fienberg, Stephen E.
Statistics 36-756: Advanced Statistics II Syllabus: Fall, 2006 Instructor: Stephen E. Fienberg 132G: To consider major topics from statistical theory and the foundations of inference not covered in Statistics 36-756: Advanced Statistics I, such as exchangeability, the axiomatic foundation of subjective probability
Computational Statistics Canonical Forest
Ahn, Hongshik
: First Author: Yu-Chuan Chen First Author Secondary Information: Order of Authors: Yu-Chuan Chen Hyejung;Computational Statistics manuscript No. (will be inserted by the editor) Canonical Forest Yu-Chuan Chen
Dave
2012-03-25
Statistics in Excel. 1. Type the measurement data into consecutive cells in Excel. NOTE: they do not need to be in one column, but the cells should be adjacent.
Massimo Testa
2015-07-30
Based on the fundamental principles of Relativistic Quantum Mechanics, we give a rigorous, but completely elementary, proof of the relation between fundamental observables of a statistical system when measured relatively to two inertial reference frames, connected by a Lorentz transformation.
Springer Series in Statistics Springer Series in Statistics
Capp, Olivier
and practitioners in areas such as statistics, signal processing, communications engineering, control theory class of statistical models with applications in diverse areas such as communications engineering models, including both algo- rithms and statistical theory. Topics range from filtering and smoothing
ARNAB MAITY Department of Statistics
Maity, Arnab
Mallick 2003 B. Stat. (Honors), Statistics, Indian Statistical Institute, Calcutta, India First classMay, 2015 ARNAB MAITY Department of Statistics North Carolina State University Campus Box 8203 2008 Ph.D., Statistics, Department of Statistics, Texas A&M University Co-advisors: Dr. Raymond J
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
BS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics
Dahl, David B.
: Statistics Stat 497R Introduction to Statistical Research Stat 538 Survival Analysis Note: Students may countBS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics & Oral Communication Quantitative Reasoning Languages of Learning (Math or Language) Arts, Letters
Quantum Chaos and Statistical Mechanics
Mark Srednicki
1994-06-14
We briefly review the well known connection between classical chaos and classical statistical mechanics, and the recently discovered connection between quantum chaos and quantum statistical mechanics.
Statistics and Differential Geometry 18-466 Mathematical Statistics
Le Ny, Jerome
Statistics and Differential Geometry 18-466 Mathematical Statistics Jerome Le Ny December 14, 2005 of statistical curvature [Efr75], that most of the main concepts and methods of differ- ential geometry are of substantial interest in connection with the theory of statistical inference. This report describes in simple
55 Years of Harvard Statistics: Stories, Snapshots, and Statistics
Wolfe, Patrick J.
55 Years of Harvard Statistics: Stories, Snapshots, and Statistics Xiao-Li Meng Late evening instead to the Bell Telephone Laboratories.'' Having one's statistical research rooted in and moti- vated by real-life applications became a hallmark of Harvard Statistics' outlook (or ``departmentality'') from
Experimental Statistics NBS Handbook 91: Experimental Statistics [1] was
Experimental Statistics NBS Handbook 91: Experimental Statistics [1] was first published in 1963 as a series of five Army Ordnance Pamphlets OSRDDP 20-110-114. The publication was prepared in the Statistical. Basic Statistical Concepts and Analysis and Inter- pretation of Measurement Data 2. Standard Techniques
Banaji,. Murad
MATHEMATICS AND STATISTICS Canterbury The UK's European university Undergraduate study #12;2 ACADEMIC EXCELLENCE AND INSPIRATIONAL TEACHING Much of science is based upon the application of mathematics as for computer science. New discoveries within mathematics affect not only science, but also our general
Thermodynamics for Fractal Statistics
Wellington da Cruz
1998-12-15
We consider for an anyon gas its termodynamics properties taking into account the fractal statistics obtained by us recently. This approach describes the anyonic excitations in terms of equivalence classes labeled by fractal parameter or Hausdorff dimension $h$. An exact equation of state is obtained in the high-temperature and low-temperature limits, for gases with a constant density of states.
Chen, Zehua
, researchers, and professionals in the mathematical, statistical and computational sciences, fundamental of textbooks, reference works, and handbooks. The titles included in the series are meant to appeal to students Editors N. F. Britton Department of Mathematical Sciences University of Bath Xihong Lin Department
Dahl, David B.
BS in STATISTICS: Applied Statistics and Analytics Emphasis (695234) MAP Sheet Department of Statistics For students entering the degree program during the 20142015 curricular year. UNIVERSITY CORE* Calculus 1 Math 113 Calculus 2 Complete one course from the following: Stat 121 Principles of 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 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
AMERICAN STATISTICAL ASSOCIATION (ASA)
U.S. Energy Information Administration (EIA) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall toUranium Marketing Annual ReportAMERICAN STATISTICAL
Statistical simulation procedures
Tremelling, Robert Norman
1970-01-01
that theoretical procedures are im- practical. Thus, with the advent of the electronic computer, numeri ca'I or simul ation procedures for ap- proximating this distribution function have been de- veloped. For the extension of the Stratified Monte Carlo (S. M... distribution functions ano their parameters. With the rising importance of statistics, and the advent of the computer, Honte Carlo methods are just now being investigated. Although definitions of Honte Carlo samplino may differ, it is usually associated...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuelsof Energy Services » Program ManagementAct FAQsAnnualAnnualHawaiiStatistical
Pseudochaos in Statistical Physics
Boris Chirikov
1997-04-30
A new generic dynamical phenomenon of pseudochaos and its relevance to the statistical physics both modern as well as traditional one are considered and explained in some detail. The pseudochaos is defined as a statistical behavior of the dynamical system with discrete energy and/or frequency spectrum. In turn, the statistical behavior is understood as time-reversible but nonrecurrent relaxation to some steady state, at average, superimposed with irregular fluctuations. The main attention is payed to the most important and universal example of pseudochaos, the so-called quantum chaos that is dynamical chaos in bounded mesoscopic quantum systems. The quantum chaos as a mechanism for implementation of the fundamental correspondence principle is also discussed. The quantum relaxation localization, a peculiar characteristic implication of pseudochaos, is reviewed in both time-dependent and conservative systems with special emphasis on the dynamical decoherence of quantum chaotic states. Recent results on the peculiar global structure of the energy shell, the Green function spectra and the eigenfunctions, both localized and ergodic, in a generic conservative quantum system are presented. Examples of pseudochaos in classical systems are given including linear oscillator and waves, digital computer and completely integrable systems. A far-reaching similarity between the dynamics of a few-freedom quantum system at high energy levels (n >> 1) and that of many--freedom one (N >> 1) is also discussed.
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
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium ANDREA MONTANARI Departments of Electrical Engineering and Statistics Stanford University Sharp Thresholds in Statistical an important role in some sta- tistical learning and statistical signal processing problems, in part because
International petroleum statistics report
1995-10-01
The International Petroleum Statistics Report is a monthly publication that provides current international oil data. This report presents data on international oil production, demand, imports, exports and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). Section 2 presents an oil supply/demand balance for the world, in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries.
ARM - Historical Operational Statistics
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
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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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Comments? WeDatastreamstps DocumentationAtlanticENAField ParticipantsField Campaign Statistics 2015Visitor
Presented by Statistics at Scale
.S. Department of Energy Contact George Ostrouchov Statistics and Data Sciences Computer Science and MathematicsPresented by Statistics at Scale George Ostrouchov Statistics and Data Sciences Computer Science and Mathematics Division #12;2 Managed by UT-Battelle for the U.S. Department of Energy Ostrouchov_SDS_SC10 Common
PROGRAMME SPECIFICATION Programme title: Statistics
Guillas, Serge
in statistical theory and applications which enables graduates to enter specialist employment or academic in statistical computing and communication are assessed by coursework only. The summer project is assessedPROGRAMME SPECIFICATION Programme title: Statistics Final award (BSc, MA etc): (where stopping off
International petroleum statistics report
1997-05-01
The International Petroleum Statistics Report is a monthly publication that provides current international oil data. This report is published for the use of Members of Congress, Federal agencies, State agencies, industry, and the general public. Publication of this report is in keeping with responsibilities given the Energy Information Administration in Public Law 95-91. The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1985 through 1995.
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
Fractons and Fractal Statistics
Wellington da Cruz
2000-07-31
Fractons are anyons classified into equivalence classes and they obey a specific fractal statistics. The equivalence classes are labeled by a fractal parameter or Hausdorff dimension $h$. We consider this approach in the context of the Fractional Quantum Hall Effect (FQHE) and the concept of duality between such classes, defined by $\\tilde{h}=3-h$ shows us that the filling factors for which the FQHE were observed just appear into these classes. A connection between equivalence classes $h$ and the modular group for the quantum phase transitions of the FQHE is also obtained. A $\\beta-$function is defined for a complex conductivity which embodies the classes $h$. The thermodynamics is also considered for a gas of fractons $(h,\
the reference length len(R), using this equation: BP(T, R) = min 1.0, exp 1 - len(R) len(T) (4) 2.2 Smoothing
Statistics Online Computational Resource for Education
Dinov, Ivo D; Christou, Nicolas
2009-01-01
and assess- ment of the statistic online computationalintroductory probability and statistics courses. Computers &Leslie, M. (2003). Statistics starter kit. Science, 2009
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Mohsen Pourahmadi Division of Statistics, Northern Illinois University and the Department of Statistics, The University of Chicago "Generalized
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium Series JONATHAN WEARE sampling methods. The talk will have a computational statistical mechanics flavor but the methods
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series JON MCAULIFFE Department of Statistics University of California, Berkeley "Statistical Methods for Genome Comparison" WEDNESDAY February
International petroleum statistics report
1997-07-01
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
1995-07-27
The International Petroleum Statistics Report presents data on international oil production, demand, imports, and 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.
International petroleum statistics report
1995-11-01
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.
International petroleum statistics report
1996-10-01
The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. Word oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1985 through 1995.
International petroleum statistics report
1996-05-01
The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1084 through 1994.
Statistics as a dynamical attractor
Michail Zak
2012-08-30
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.
Statistical mechanics of the cytoskeleton
Wang, Shenshen
2012-01-01
mechanics . . . . . . . . . . . . . . . . . . . . . . 2.1bottom-up approach to cell mechanics. Nat. Phys. [6] Fabry,Wolynes, P. G. Statistical mechanics of a cats cradle. New
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium ALEKH AGARWAL Electrical Engineering and Computer Science University of California Berkeley Computation Meet Statistics: Trade that provide complementary lines of attack on this broader research agenda: (i) lower bounds for statistical
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series TONG ZHANG Department of Statistics Rutgers University High Dimensional Statistical Analysis for Complex Sparse Estimation Problems the seminar in Eckhart 110. ABSTRACT This talk presents theoretical results for high dimensional statistical
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
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics SUMMER Seminar Series ANDREW GELMAN Departments of Statistics and Political Science Columbia University Parameterization and Bayesian Modeling THURSDAY and location. ABSTRACT Progress in statistical computation often leads to advances in statistical modeling
Department: Statistics Course No: STAT 261Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 261Q Title: Statistical Computing Credits: 3 Contact : Dipak. Recommended preparation: An applied statistics course. Open only with consent of instructor. Introduction to computing for statistical problems; obtaining features of distributions, fitting models and implementing
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium Series MONTSERRAT FUENTES Department of Statistics North Carolina State University Nonparametric Spatial Models for Extremes events at different locations. Although the tools for statistical modeling of univariate extremes
APS Operational Statistics for FY 2015
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
5 Operational Statistics Back to Main Statistics Page FY 2015 Year-to-Date Statistics 2015 Statistics Summary HTML or PDF FY 2015 Reliability Summary HTML or PDF FY 2015 Bar Chart...
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 University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Hira L. Koul Department of Statistics). Statistical methods for data with long-range dependence. (With discussion). Statist. Sci. 7, 404-427. Beran, J. (1994). Statistics for Long-Memory Processes. Monographs on Statistics and Applied Probab., 61. Chapman
MATHEMATICS & STATISTICS Program of Study
Thomas, Andrew
MATHEMATICS & STATISTICS Program of Study Degree Requirements The Department offers a program leading to the degree of Master of Arts in Mathematics. The program outlined below offers the student three "pathways" or tracks for advanced study in mathematics: pure, interdisciplinary, and statistics
Statistical Theory Prof. Gesine Reinert
Reinert, Gesine
- chical Bayes, empirical Bayes, James-Stein estimators, Bayesian computation. Part 4: Principles) Statistical Inference. Second Edi- tion. Thomson Learning. 3. Cox, D.R. and Hinkley, D.V. (1974) Theoretical. Cambridge University Press. 2 #12;6. Lindgren, B.W. (1993) Statistical Theory. 4th edition. Chapman and Hall
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
Practical Statistics for the LHC
Kyle Cranmer
2015-03-26
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.
SHARE: Statistical Hadronization with Resonances
Giorgio Torrieri; Steve Steinke; Wojciech Broniowski; Wojciech Florkowski; Jean Letessier; Johann Rafelski
2004-07-22
SHARE is a collection of programs designed for the statistical analysis of particle production in relativistic heavy-ion collisions. With the physical input of intensive statistical parameters, it generates the ratios of particle abundances. The program includes cascade decays of all confirmed resonances from the Particle Data Tables. The complete treatment of these resonances has been known to be a crucial factor behind the success of the statistical approach. An optional feature implemented is a Breit--Wigner type distribution for strong resonances. An interface for fitting the parameters of the model to the experimental data is provided.
Key China Energy Statistics 2012
Levine, Mark; Fridley, David; Lu, Hongyou; Fino-Chen, Cecilia
2012-05-01
The China Energy Group at Lawrence Berkeley National Laboratory (LBNL) was established in 1988. Over the years the Group has gained recognition as an authoritative source of China energy statistics through the publication of its China Energy Databook (CED). The Group has published seven editions to date of the CED (http://china.lbl.gov/research/chinaenergy-databook). This handbook summarizes key statistics from the CED and is expressly modeled on the International Energy Agencys Key World Energy Statistics series of publications. The handbook contains timely, clearly-presented data on the supply, transformation, and consumption of all major energy sources.
Key China Energy Statistics 2011
Levine, Mark; Fridley, David; Lu, Hongyou; Fino-Chen, Cecilia
2012-01-15
The China Energy Group at Lawrence Berkeley National Laboratory (LBNL) was established in 1988. Over the years the Group has gained recognition as an authoritative source of China energy statistics through the publication of its China Energy Databook (CED). In 2008 the Group published the Seventh Edition of the CED (http://china.lbl.gov/research/chinaenergy-databook). This handbook summarizes key statistics from the CED and is expressly modeled on the International Energy Agencys Key World Energy Statistics series of publications. The handbook contains timely, clearly-presented data on the supply, transformation, and consumption of all major energy sources.
Quantum particles from classical statistics
C. Wetterich
2010-02-11
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 AND FIELD THEORY
Samuel, S.A.
2010-01-01
1. L. 1. Schiff, Quantum Mechanics, third edition (McGraw-two-dimensional quantum mechanics problem vith a potential,Theory Methods to Statistical Mechanics Chapter I The Use of
Dave
2012-03-25
Statistics in Excel. 1. Type the measurement data into consecutive cells in Excel. NOTE: they do not need to be in one column, but the cells should be adjacent.
Intermediate wave-function statistics
G. Berkolaiko; J. P. Keating; B. Winn
2003-08-05
We calculate statistical properties of the eigenfunctions of two quantum systems that exhibit intermediate spectral statistics: star graphs and Seba billiards. First, we show that these eigenfunctions are not quantum ergodic, and calculate the corresponding limit distribution. Second, we find that they can be strongly scarred by short periodic orbits, and construct sequences of states which have such a limit. Our results are illustrated by numerical computations.
Anyonic statistics with continuous variables
Jing Zhang; Changde Xie; Kunchi Peng; Peter van Loock
2008-10-30
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.
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
UNIVERSITY OF OXFORD DEPARTMENT OF STATISTICS
Oxford, University of
UNIVERSITY OF OXFORD DEPARTMENT OF STATISTICS MSc AND DIPLOMA IN APPLIED STATISTICS 2014. Sources of advice and help 33 5. Departmental Facilities 35 #12;2 MSc/ DIPLOMA IN APPLIED STATISTICS 2014/2015 We welcome you to the Department of Statistics and our MSc programme in Applied Statistics
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
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 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
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
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
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
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
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 )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
Accuracy and reliability of China's energy statistics
Sinton, Jonathan E.
2001-01-01
the primary energy production and consumption statistics areProduction Hydroelectricity Primary Consumption J.E.Sinton, Chinas Energy StatisticsStatistics Mtce Primary Consumption Coal Primary Consumption Total Energy Primary Production
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Matthew Stephens Department of Statistics, University of Washington "Exploring Heterogeneity in Recombination Rates Across the Genome. In this talk I describe a statistical method that comes some way towards addressing these deficiencies
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series JUN LIU Department of Statistics with classification problems. I will also discuss the issue of statistical significance in this situation Please send
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Tiefeng JIANG School of Statistics). A history from 1914 to 2003 of the problem from Mechanics, Statistics and Imagine Analysis will also
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series JIANQING FAN Department of Statistics Princeton University "Nonparametric specification tests for diffusion models in financial null distributions of proposed test statistics and compute their power func- tions. The finite sample
APS Operational Statistics for FY 2009
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Back to Main Statistics Page FY 2009 Year-to-Date Statistics 2009 Statistics Summary HTML or PDF FY 2009 Reliability Summary HTML or PDF FY 2009 Bar Chart of Downtime by System...
APS Operational Statistics for FY 2008
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Back to Main Statistics Page FY 2008 Year-to-Date Statistics 2008 Statistics Summary HTML or PDF FY 2008 Reliability Summary HTML or PDF FY 2008 Bar Chart of Downtime by System...
APS Operational Statistics for FY 2014
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APS Operational Statistics for FY 2005
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Back to Main Statistics Page FY 2005 Year-to-Date Statistics 2005 Statistics Summary HTML or PDF FY 2005 Reliability Summary HTML or PDF FY 2005 Bar Chart of Downtime by System...
APS Operational Statistics for FY 2007
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Back to Main Statistics Page FY 2007 Year-to-Date Statistics 2007 Statistics Summary HTML or PDF FY 2007 Reliability Summary HTML or PDF FY 2007 Bar Chart of Downtime by System...
APS Operational Statistics for FY 2012
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Back to Main Statistics Page FY 2012 Year-to-Date Statistics 2012 Statistics Summary HTML or PDF FY 2012 Reliability Summary HTML or PDF FY 2012 Bar Chart of Downtime by System...
APS Operational Statistics for FY 2006
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Back to Main Statistics Page FY 2006 Year-to-Date Statistics 2006 Statistics Summary HTML or PDF FY 2006 Reliability Summary HTML or PDF FY 2006 Bar Chart of Downtime by System...
APS Operational Statistics for FY 2010
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Back to Main Statistics Page FY 2010 Year-to-Date Statistics 2010 Statistics Summary HTML or PDF FY 2010 Reliability Summary HTML or PDF FY 2010 Bar Chart of Downtime by System...
APS Operational Statistics for FY 2013
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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
5.72 Statistical Mechanics, Spring 2008
Cao, Jianshu
This course discusses the principles and methods of statistical mechanics. Topics covered include classical and quantum statistics, grand ensembles, fluctuations, molecular distribution functions, other concepts in equilibrium ...
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Michael Woodroofe Department of Statistics, University of Michigan "Inference with a Restricted Parameter Space
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series ANDREW C. THOMAS Department of Statistics Harvard University Uncertainties in Network Analysis Due to the Thresholding Problem WEDNESDAY
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series ARNAUD DOUCET Departments of Computer Science and Statistics University of British Columbia The Expected Auxiliary Variable Method
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series DAG TJOSTHEIM Department of Statistics University of Bergen, Norway Gaussian Local Likelihood and Local Correlation MONDAY, April 28
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series YUN S. SONG Departments of Electrical Engineering and Computer Sciences, and Statistics University of California, Berkeley A Universal
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Anirban Dasgupta Department of Statistics Purdue University "Inference Based on Total Variation Distance" Monday, November 10, 2003 at 4
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series HELENE MASSAM Department of Mathematics and Statistics York University, Toronto, Canada "Two New Families of Conjugate Priors
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series YUGUO CHEN Department of Statistics University of Illinois at Urbana-Champaign "Sampling for Conditional Inference on Multiway Tables
ORISE: Statistical Analyses of Worker Health
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
appropriate methods of statistical analysis to a variety of problems in occupational health and other areas. Our expertise spans a range of capabilities essential for statistical...
STATISTICS IN MEDICINE Statist. Med. 18, 32213234 (1999)
Gelman, Andrew
1999-01-01
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 specic 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
Statistical Mechanics of Black Holes
B. Harms; Y. Leblanc
1992-05-11
We analyze the statistical mechanics of a gas of neutral and charged black holes. The microcanonical ensemble is the only possible approach to this system, and the equilibrium configuration is the one for which most of the energy is carried by a single black hole. Schwarzschild black holes are found to obey the statistical bootstrap condition. In all cases, the microcanonical temperature is identical to the Hawking temperature of the most massive black hole in the gas. U(1) charges in general break the bootstrap property. The problems of black hole decay and of quantum coherence are also addressed.
Noise, sign problems, and statistics
Michael G. Endres; David B. Kaplan; Jong-Wan Lee; Amy N. Nicholson
2011-06-01
We show how sign problems in simulations of many-body systems can manifest themselves in the form of heavy-tailed correlator distributions, similar to what is seen in electron propagation through disordered media. We propose an alternative statistical approach for extracting ground state energies in such systems, illustrating the method with a toy model and with lattice data for unitary fermions.
Statistical mechanics of the vacuum
Christian Beck
2012-03-01
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.
QUANTUM MECHANICS WITHOUT STATISTICAL POSTULATES
G. GEIGER; ET AL
2000-11-01
The Bohmian formulation of quantum mechanics describes the measurement process in an intuitive way without a reduction postulate. Due to the chaotic motion of the hidden classical particle all statistical features of quantum mechanics during a sequence of repeated measurements can be derived in the framework of a deterministic single system theory.
Gauge Invariance and Fractional Statistics
A. R. P. Lima; R. R. Landim
2006-10-04
We present a new $(2+1)$-dimensional field theory showing exotic statistics and fractional spin. This theory is achieved through a redefinition of the gauge field $A_{\\mu}$. New properties are found. Another way to implement the field redefinition is used with the same results obtained.
Statistics and Philosophy Mathematical models and reality
Hennig, Christian
Statistics and Philosophy Mathematical models and reality Frequentist probabilities The Bayes-frequentist controversy Cluster analysis and truth Model Assumptions and Truth in Statistics Christian Hennig 4 February 2015 Christian Hennig Model Assumptions and Truth in Statistics #12;Statistics and Philosophy
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Marianthi Markatou Department of Statistics, Columbia University "Statistical Model Assessment and Model Choice" Monday, April 22, 2002 at 4 of statistical models is to provide a concise description of the aspects of the data judged relevant
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series VICTOR PANARETOS Department of Statistics University of California, Berkeley On the Statistical Inversion of a Stochastic Radon Transform, thus posing a va- riety of statistical problems. We formulate and study such a problem, one
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
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Tailen Hsing Department of Statistics" ************************* Monday, February 4, 2002 at 4:00 pm 133 Eckhart Hall, 5734 S. University Avenue ABSTRACT A generalized U-statistic, n2, Kn1,n2 is a symmetric measurable func- tion. A large class of statistics can be expressed
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
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium JACOB BIEN Department of Statistics Stanford University Sparse Hierarchical Interactions MONDAY, January 23, 2012, at 4:00 PM 133. This makes it easier to study as a statistical estimator. We argue that restricting to hierarchical
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium LISA LENDWAY Department of Statistics University of Minnesota Using the Bootstrap to Teach Confidence Intervals in an Introductory Statistics Course THURSDAY, February 2, 2012, at 12:00 PM 110 Eckhart Hall, 5734 S. University Avenue
ROBUST ESTIMATION VIA GENERALIZED L-STATISTICS
Serfling, Robert
CHAPTER 1 ROBUST ESTIMATION VIA GENERALIZED L-STATISTICS: THEORY, APPLICATIONS, AND PERSPECTIVES ROBERT SERFLING University of Texas at Dallas Abstract: Generalized L-statistics, introduced in Ser ing (1984) and including classical U-statistics and L-statistics, are linear functions based on the ordered
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium XIAOFENG SHAO Department of Statistics University of Illinois, Urbana-Champaign Self-Normalization for Time Series MONDAY, May 21, 2012 of a statistic. Or the inference can be conducted by using resampling (e.g. moving block boot- strap
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 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
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium NATESH PILLAI Department of Statistics Harvard University Optimal Scaling vs. Optimal Design of MCMC Algorithms: A Comparison MONDAY their behavior in high dimensions thus constitute an essential part of modern statistical inference
Department: Statistics Course No: STAT 220Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 220Q Title: Statistical Methods Credits: 3 Contact : Dipak K. Dey WQ: Q Catalog Copy : STAT 220Q. Statistical Methods (Calculus Level) Either semester. Three design, non-parametric procedures. Course Information : A. This course offers instruction in statistical
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series BIN YU Department of Statistics University of California, Berkeley "Embracing Statistical Challenges in the Information Technology Age in most if not all fields of science and engineering and beyond. Statistics as a scientific discipline
Department: Statistics Course No: STAT 110Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 110Q Title: Elementary Concepts of Statistics Credits: 4 restrictions above. Standard and nonparametric approaches to statistical analysis; exploratory data analysis-sample procedures, regression and correlation. Learning to do statistical analysis on a personal computer
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
STATISTICS FOR GRADUATE STUDENTS ONLINE RESOURCES
Fletcher, Robin
1 STATISTICS FOR GRADUATE STUDENTS ONLINE RESOURCES Introduction to Data Analysis Exploring Data Pitfalls of Data Analysis (or How to Avoid Lies and Damned Lies) Statistics notes and related articles published in British Medical Journal Statistical literacy HyperStat Online Statistics Textbook Electronic
Department: Statistics Course No: STAT 201Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 201Q Title: Introduction to Statistics II Credits: 3 Contact : Dipak K. Dey WQ: Q Catalog Copy : 201Q. Introduction to Statistics II Either semester. Three credits of no calculus background the ideas and methods of statistics beyond the initial introduction given in STAT100
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 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
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series DEBASHIS MONDAL Department of Statistics University of Chicago Gaussian Random Fields and Spatial Statistics MONDAY, April 12, 2010, at 4. ABSTRACT In recent decades, there has been much progress and interest in spatial statistics
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series ROBERT GROSSMAN Department of Mathematics, Statistics and Computer Science University of Illinois at Chicago Building Statistical Models where the data is stored. Most software to compute statistical and data mining models assumes
Department: Statistics Course No: STAT 243Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 243Q Title: Design of Experiments Credits: 3 Contact : Dipak statistical software to analize data sets based on the statistical methods developed in this course. B. Two and problem assignments from the textbook. C. Analysis of variance statistical models are the major theme
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
Department: Statistics Course No: STAT 100Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 100Q Title: Introduction to Statistics Credits: 4 Contact above. A standard approach to statistical analysis primarily for students of business and economics and correlation, exploratory data analysis. Learning to do statistical analysis on a personal computer
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics SUMMER Seminar Series SONJA PETROVIC Department of Statistics Pennsylvania State University Algebraic Statistics for Random Graph Models MONDAY, August 8, 2011, at 4:00 PM 110 Eckhart Hall, 5734 S. University Avenue ABSTRACT Algebraic statistics has flourished
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium SEBASTIEN ROCH Department. An important issue in this context is the fundamental trade-off between statistical accuracy and computational how this probabilistic perspective produces a finer theoretical understanding of the statistical
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series YALI AMIT Departments of Statistics and Computer Science The University of Chicago Statistical Models in Computer Vision MONDAY of configurations. I will present an approach which starts from simple statistical models for individual objects
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium Series PATRICK J. WOLFE Department of Statistics Harvard University Modeling Network Data MONDAY, October 10, 2011, at 4:00 PM 133 Networks are fast becoming a primary object of interest in statistical data analysis, with important
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Samuel Kou Department of Statistics statistical modeling and inference effort. This paper provides the first likelihood-based analysis statistical techniques to the analysis of data produced by modern technologies. This work is joint with Sunney
Statistical Signal Processing Debasis Kundu 1
Kundu, Debasis
Statistical Signal Processing Debasis Kundu 1 Signal processing may broadly be considered, statistical techniques play an important role in signal processing. Statistics is used in the formulation for estimation of model parameters, and the assessment of model performances. Statistical Signal Processing
LIDIA REJTO Statistics Program, Department of FREC
Rejtõ, Lídia
L´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
Graduate Certificate in Applied Statistics Earn a graduate certificate in Applied Statistics
Frey, Jesse C.
Graduate Certificate in Applied Statistics Earn a graduate certificate in Applied Statistics from their statistical knowledge and demonstrate their expertise in statistics beyond the undergraduate level. Program in programs that utilize statistics. Admission Requirements Applicants must submit an application, a statement
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
Statistically significant relational data mining :
Berry, Jonathan W.; Leung, Vitus Joseph; Phillips, Cynthia Ann; Pinar, Ali; Robinson, David Gerald; Berger-Wolf, Tanya; Bhowmick, Sanjukta; Casleton, Emily; Kaiser, Mark; Nordman, Daniel J.; Wilson, Alyson G.
2014-02-01
This report summarizes the work performed under the project (3z(BStatitically significant relational data mining.(3y (BThe goal of the project was to add more statistical rigor to the fairly ad hoc area of data mining on graphs. Our goal was to develop better algorithms and better ways to evaluate algorithm quality. We concetrated on algorithms for community detection, approximate pattern matching, and graph similarity measures. Approximate pattern matching involves finding an instance of a relatively small pattern, expressed with tolerance, in a large graph of data observed with uncertainty. This report gathers the abstracts and references for the eight refereed publications that have appeared as part of this work. We then archive three pieces of research that have not yet been published. The first is theoretical and experimental evidence that a popular statistical measure for comparison of community assignments favors over-resolved communities over approximations to a ground truth. The second are statistically motivated methods for measuring the quality of an approximate match of a small pattern in a large graph. The third is a new probabilistic random graph model. Statisticians favor these models for graph analysis. The new local structure graph model overcomes some of the issues with popular models such as exponential random graph models and latent variable models.
Parallel auto-correlative statistics with VTK.
Pebay, Philippe Pierre; Bennett, Janine Camille
2013-08-01
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.
Statistical Models for Globular Cluster Luminosity Distribution
Hunter, David
Statistical Models for Globular Cluster Luminosity Distribution Max Buot Donald Richards Xavier statistical models which have been proposed for luminosity distributions for the globular clusters galaxies were well fit by Gaussian distributions, subsequent investigations suggested
Statistics on pattern-avoiding permutations
Elizalde, Sergi, 1979-
2004-01-01
This thesis concerns the enumeration of pattern-avoiding permutations with respect to certain statistics. Our first result is that the joint distribution of the pair of statistics 'number of fixed points' and 'number of ...
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 problem Barycentric corrected arrival times 0 Energy, no matter how rich the dictionary from which you adaptively compose a detection statistic, no matter how
|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
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar D. R. Bellhouse Department of Statistical and Actuarial Sciences University of Western Ontario London, Ontario Canada N6A 5B7 "Lord Stanhope
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Noureddine El Karoui Department of Statistics Stanford University "The Tracy-Widom Law Holds When n, p, p/n , with Application to PCA" Monday
A Carto Dashboard for Distributed Statistical Data
for Statistical Data From Statistics Netherlands (CBS) - Open Data, API using ODATA standard - To be combined, different aggregation in time: same variable, different times in theme: same place and time, different
Seismic Attribute Analysis Using Higher Order Statistics
Greenidge, Janelle Candice
2009-05-15
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...
Transportation Statistics Annual Report 1997
Fenn, M.
1997-01-01
This document is the fourth Transportation Statistics Annual Report (TSAR) prepared by the Bureau of Transportation Statistics (BTS) for the President and Congress. As in previous years, it reports on the state of U.S. transportation system at two levels. First, in Part I, it provides a statistical and interpretive survey of the systemits physical characteristics, its economic attributes, aspects of its use and performance, and the scale and severity of unintended consequences of transportation, such as fatalities and injuries, oil import dependency, and environment impacts. Part I also explores the state of transportation statistics, and new needs of the rapidly changing world of transportation. Second, Part II of the report, as in prior years, explores in detail the performance of the U.S. transportation system from the perspective of desired social outcomes or strategic goals. This year, the performance aspect of transportation chosen for thematic treatment is Mobility and Access, which complements past TSAR theme sections on The Economic Performance of Transportation (1995) and Transportation and the Environment (1996). Mobility and access are at the heart of the transportation systems performance from the users perspective. In what ways and to what extent does the geographic freedom provided by transportation enhance personal fulfillment of the nations residents and contribute to economic advancement of people and businesses? This broad question underlies many of the topics examined in Part II: What is the current level of personal mobility in the United States, and how does it vary by sex, age, income level, urban or rural location, and over time? What factors explain variations? Has transportation helped improve peoples access to work, shopping, recreational facilities, and medical services, and in what ways and in what locations? How have barriers, such as age, disabilities, or lack of an automobile, affected these accessibility patterns? How are commodity flows and transportation services responding to global competition, deregulation, economic restructuring, and new information technologies? How do U.S. patterns of personal mobility and freight movement compare with other advanced industrialized countries, formerly centrally planned economies, and major newly industrializing countries? Finally, how is the rapid adoption of new information technologies influencing the patterns of transportation demand and the supply of new transportation services? Indeed, how are information technologies affecting the nature and organization of transportation services used by individuals and firms?
On statistics of molecular chaos
Yuriy Kuzovlev
2009-11-03
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.
2008 world direct reduction statistics
NONE
2009-07-01
This supplement discusses total direct reduced iron (DRI) production for 2007 and 2008 by process. Total 2008 production by MIDREX(reg sign) direct reduction process plants was over 39.8 million tons. The total of all coal-based processes was 17.6 million tons. Statistics for world DRI production are also given by region for 2007 and 2008 and by year (1970-2009). Capacity utilization for 2008 by process is given. World DRI production by region and by process is given for 1998-2008 and world DRI shipments are given from the 1970s to 2008. A list of world direct reduction plants is included.
ARM - Historical Field Campaign 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Comments? WeDatastreamstps DocumentationAtlanticENAField ParticipantsField Campaign Statistics 2015 Quarterly
Purdue VIGRE REU in Mathematics and Statistics
Research Experience for Undergraduates. at the. Departments of Mathematics and Statistics Purdue Univeristy, West Lafayette, Indiana Summer 2003.
The University of Chicago Department of Statistics
of Statistics Harvard University "Equi-energy Sampler: From Statistical Inference to Statistical Mechanics the seminar in Eckhart 110. ABSTRACT We introduce a new sampling algorithm, the equi-energy sampler, the equi-energy sampler, utilizing the temperature-energy duality, targets the energy directly. The focus
STORM: A STatistical Object Representation Model
Rafanelli, M. ); Shoshani, A. )
1989-11-01
In this paper we explore the structure and semantic properties of the entities stored in statistical databases. We call such entities statistical objects'' (SOs) and propose a new statistical object representation model,'' based on a graph representation. We identify a number of SO representational problems in current models and propose a methodology for their solution. 11 refs.
Quantrum chaos and statistical nuclear physics
Not Available
1986-01-01
This book contains 33 selections. Some of the titles are: Chaotic motion and statistical nuclear theory; Test of spectrum and strength fluctuations with proton resonances; Nuclear level densities and level spacing distributions; Spectral statistics of scale invariant systems; and Antiunitary symmetries and energy level statistics.
TIGHT BOUNDS ON EXPECTED ORDER STATISTICS
Bertsimas, Dimitris
TIGHT BOUNDS ON EXPECTED ORDER STATISTICS DIIIMMMIIITTTRRRIIISSS BEEERRRTTTSSSIIIMMMAAASSS Sloan@nus.edu.sg In this article, we study the problem of finding tight bounds on the expected value of the kth-order statistic E of the highest-order statistic E @Xn:n# can be computed with a bisection search algo- rithm+ An extremal discrete
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series SOURAV CHATTERJEE Department of Statistics University of California, Berkeley "Some extensions of Stein's method" MONDAY, February 20, 2006 dependence models of statistical physics and combinatorics will be worked out. Please send email to Mathias
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series DAVID VAN DYK Department of Statistics University of California, Irvine "Highly Structured Models in High Energy Astrophysics" MONDAY in Eckhart 110. ABSTRACT In recent years, an important new trend has been growing in applied statistics
Department: Statistics Course No: STAT 242Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 242Q Title: Analysis of Experiments Credits: 3 Contact Information : A. The objective of this course is to introduce students to statistical data analysis using will obtain hands-on experience with analyzing data usign statistical models, such as regression and analysis
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series REGINA LIU Department of Statistics Rutgers, The State University of New Jersey Mining and Tracking Massive Text Data MONDAY, April 9 datasets to discover useful features and develop tracking statistics (often referred to as performance
June 1, 2015 DEPARTMENT OF MATHEMATICS, STATISTICS
June 1, 2015 DEPARTMENT OF MATHEMATICS, STATISTICS AND COMPUTER SCIENCE Limited Term Position The Department of Mathematics, Statistics and Computer Science at St. Francis Xavier University invites, 2016. Applicants should hold a PhD (or a nearly completed PhD) in Mathematics or Statistics
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
Department: Statistics Course number: STAT 202W
Alpay, S. Pamir
Department: Statistics Course number: STAT 202W Title: Undergraduate Seminar II Credits: 1 Contact, and choose one statistical topic to investigate in detail. The student will write a well revised will attend 6-8 seminars per semester, and choose one statistical topic to investigate in detail. The student
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series NANCY R. ZHANG Department of Statistics Stanford University Simultaneous Scans of Multiple Sequences for Shared Variant Intervals MONDAY in Eckhart 110. ABSTRACT We examine the statistical problem of simultaneous detection in multiple sequences
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seventh Annual Bahadur Memorial Lectures ELIZABETH A. THOMPSON Department of Statistics University of Washington "Monte Carlo Likelihood Inference, the statistics of primary importance for estimation and testing are functions of unobservable latent vari- ables
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series MARC HALLIN Universit´e libre de the seminar in Eckhart 110. ABSTRACT The modern history of ranks in statistics started in 1945 with Frank, Lehmann, Hajek, and Le Cam, rank-based methods have followed the devel- opment of contemporary statistics
Department: Statistics Course No: STAT 272Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 272Q Title: Introduction to Biostatistics Credits: 3 Contact-analysis. Course Information : A. The goal is to introduce the students to the modern statistical methods in modeling analysis of data in biological and medical sciences. Teach the students the use of statistical
WhartonDepartment of Statistics Data Mining
Stine, Robert A.
WhartonDepartment of Statistics Data Mining Introduction Bob Stine Dept of Statistics What is data mining? · An insult? · Predictive modeling · Large, wide data sets, often unstructuredDepartment of Statistics Plan · Week 1 · Data mining with regression, logistic regression · Illustrate key ideas
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series GILLES BLANCHARD Associate researcher, Fraunhofer FIRST (IDA) "Statistical Performance of Support Vector Machines" MONDAY, January 29 in Eckhart 110. ABSTRACT I will present a contribution to the statistical analysis of Support Vector Machines
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series YACINE AIT-SAHALIA Bendheim Refreshments following the seminar in Eckhart 110. ABSTRACT We propose statistical tests to discriminate frequency. The two statistics allow for a symmetric treatment of the problem: we can either take the null
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series VENKAT CHANDRASEKARAN Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Statistical Modeling over is motivated by the following question: Suppose we have sample statistics of only a subset of a collection
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series MURAD S. TAQQU Department of Mathematics and Statistics Boston University Self-Similarity and Computer Network Traffic MONDAY, November 8 in Eckhart 110. ABSTRACT Ethernet local area network traffic appears to be approximately statistically self
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 "I don't know where I'm gonna go when the volcano blows of mathematical computer modeling, statistical modeling of geophysical data, and extreme-event probability
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seventh Annual Bahadur Memorial Lectures ELIZABETH A. THOMPSON Department of Statistics University of Washington "Uncertainty and Evidence introduced into the statistics literature as a way to describe the uncertainty inherent in a randomized test
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series DAN NICOLAE Department of Statistics The University of Chicago "Quantifying Correlation with Applications to Genome-Wide Association of the statistical issues involved including the need for multi-locus analyses and allowing for environmental risk
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series MATHIAS DRTON Department of Statistics The University of Chicago "Algebraic Factor Analysis: Tetrads, Pentads and Beyond" MONDAY, January in Eckhart 110. ABSTRACT Abstract: Factor analysis refers to a statistical model in which observed variables
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series WEI BIAO WU Department of Statistics The University of Chicago "What is dependence?" MONDAY, March 27, 2006 at 4:00 PM 133 Eckhart Hall of random processes, dependence is the rule rather than the exception. To facilitate the related statistical
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series YING NIAN WU Department of Statistics University of California at Los Angeles "Scale in Natural Scene Image Understanding" MONDAY textures that are often summarized by feature statistics. Although these two classes of patterns appear
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Linda B. Collins Department of Statistics University of Chicago "Issues in Catastrophe Excess-of-Loss Reinsurance Pricing" Monday, December distribution. We discuss the general statistical ideas behind these proprietary models and examine some
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series DANIEL J. SCHAID Mayo Clinic-control studies of candidate genes, we develop a new class of nonparametric statistics that can simultaneously test the association of multiple marker loci with disease. Our approach is based on U-statistics, which
CAPES 2013 PROBABILITY and STATISTICS Ttulo ISSN
Moreira, Carlos Gustavo
-0918 Communications Series A1 Mathematics & Statistics 1303-5911 Computational and mathematical organization theory-5483 Communications in Mathematical Physics 0010-3616 Communications in statistics. Simulation and computation 0361 communications in probability 1083-589X Electronic journal of applied statistical analysis 2070-5948 Electronic
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 Re2 , and Dan engines. The key object of our study is a statistical program, which is a set of pairs (v, d), where v
Fractional quantum Hall effect and nonabelian statistics
N. Read; G. Moore
1992-02-03
It is argued that fractional quantum Hall effect wavefunctions can be interpreted as conformal blocks of two-dimensional conformal field theory. Fractional statistics can be extended to nonabelian statistics and examples can be constructed from conformal field theory. The Pfaffian state is related to the 2D Ising model and possesses fractionally charged excitations which are predicted to obey nonabelian statistics.
Lectures on probability and statistics
Yost, G.P.
1984-09-01
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.
CEAL Statistics 2009-2010: an Overview
Doll, Vickie
2011-02-01
stream_size 15289 stream_content_type text/plain stream_name DOLL_CEAL statistics 2009-2010_ an overview.pdf.txt stream_source_info DOLL_CEAL statistics 2009-2010_ an overview.pdf.txt Content-Encoding UTF-8 Content-Type text... outsourced acquisition. Our sincere thanks to those 50 libraries that participated in the 2010 survey. Vickie Fu Doll Chair, CEAL Statistics University of Kansas CEAL Statistics Database: http://lib.ku.edu/ceal/php CEAL Statistics Homepage...
Statistics for Teachers: STAT 4/6070 The UGA Statistics Department has been
Hall, Daniel
Statistics for Teachers: STAT 4/6070 The UGA Statistics Department has been teaching a second course in statistics for mathematics education students since 1998. The course is designed to prepare pre-service and in-service high school mathematics teachers to teach the statistical concepts that appear
Ravikumar, B.
Statistics Page 235Sonoma State University 2015-2016 Catalog STATISTICS DEPARTMENT OF MATHEMATICS AND STATISTICS Darwin Hall 114 phone: (707) 664-2368 email: math@sonoma.edu www.sonoma.edu/math DEPARTMENT CHAIR Brigitte Lahme STATISTICS PROGRAM ADVISORS Susan Herring Elaine Newman ADMINISTRATIVE COORDINATORS Whitney
Fitelson, Branden
Branden Fitelson Remarks on the Philosophy of Statistics 0 SOME REMARKS ON THE PHILOSOPHY OF STATISTICS BRANDEN FITELSON Department of Philosophy San Jose State University branden@fitelson.org http of Statistics 1 Overview of Presentation What are the ends of statistical experiment, analysis
Developing Your Statistics The Statistics tab is used to display statistics for some or all of your collected samples. You will need at least one sample and a plot to view statistics. Select Samples Select. are displayed and the statistics are added to the Master Statistics Table. Uncheck samples to remove them from
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...
Workforce Statistics - NA 00 | National Nuclear Security Administratio...
National Nuclear Security Administration (NNSA)
Us Our Operations Management and Budget Office of Civil Rights Workforce Statistics Workforce Statistics - NA 00 Workforce Statistics - NA 00 NA 00 FY14 Semi Annual...
The newsletter of the CAMBRIDGE QUATERNARY ISSUE 36 LENT 2007
de Gispert, Adri
are in western Finland, north- eastern Russia and East Anglia. He will be conducting sedimentological, tectonic
VOStat: A Statistical Web Service for Astronomers
Chakraborty, Arnab; Babu, G Jogesh
2013-01-01
VOStat is a Web service providing interactive statistical analysis of astronomical tabular datasets. It is integrated into the suite of analysis and visualization tools associated with the international Virtual Observatory (VO) through the SAMP communication system. A user supplies VOStat with a dataset extracted from the VO, or otherwise acquired, and chooses among $\\sim 60$ statistical functions. These include data transformations, plots and summaries, density estimation, one- and two-sample hypothesis tests, global and local regressions, multivariate analysis and clustering, spatial analysis, directional statistics, survival analysis (for censored data like upper limits), and time series analysis. The statistical operations are performed using the public domain {\\bf R} statistical software environment, including a small fraction of its $>4000$ {\\bf CRAN} add-on packages. The purpose of VOStat is to facilitate a wider range of statistical analyses than are commonly used in astronomy, and to promote use of m...
Statistics for characterizing data on the periphery
Theiler, James P; Hush, Donald R
2010-01-01
We introduce a class of statistics for characterizing the periphery of a distribution, and show that these statistics are particularly valuable for problems in target detection. Because so many detection algorithms are rooted in Gaussian statistics, we concentrate on ellipsoidal models of high-dimensional data distributions (that is to say: covariance matrices), but we recommend several alternatives to the sample covariance matrix that more efficiently model the periphery of a distribution, and can more effectively detect anomalous data samples.
Statistical assessment of Monte Carlo distributional tallies
Kiedrowski, Brian C; Solomon, Clell J
2010-12-09
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.
Nonextensive statistical effects in nuclear physics problems
G. Kaniadakis; A. Lavagno; M. Lissia; P. Quarati
1998-12-12
Recent progresses in statistical mechanics indicate the Tsallis nonextensive thermostatistics as the natural generalization of the standard classical and quantum statistics, when memory effects and long-range forces are not negligible. In this framework, weakly nonextensive statistical deviations can strongly reduce the puzzling discrepancies between experimental data and theoretical previsions for solar neutrinos and for pion transverse-momentum correlations in Pb-Pb high-energy nuclear collisions.
CEAL Statistics 2008-2009: an Overview
Doll, Vickie
2010-01-01
stream_size 10836 stream_content_type text/plain stream_name DOLL_CEAL statistics 2008-2009_an overview (JEAL 150).pdf.txt stream_source_info DOLL_CEAL statistics 2008-2009_an overview (JEAL 150).pdf.txt Content-Encoding UTF-8..., study the collection development history, budget trends, collection growth, personnel, and service information. Vickie Fu Doll Chair, CEAL Statistics University of Kansas ...
Statistical Mechanics and Quantum Cosmology
B. L. Hu
1995-11-29
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.
Statistics for Industry Groups and Industries, 2003
2009-01-18
Statistics for the U.S. Department of Commerce including types of manufacturing, employees, and products as outlined in the Annual Survey of Manufacturers (ASM).
Statistical methods for nuclear material management
Bowen W.M.; Bennett, C.A.
1988-12-01
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.
Accuracy and reliability of China's energy statistics
Sinton, Jonathan E.
2001-01-01
Chinas Energy Statistics Mtce Primary Consumption Coal Primary Consumption Total Energy Primary Production Primary Production Natural Gas Oil Primary Consumption
Moore honored with American Statistical Association award
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
impact. Moore is a Fellow of the Royal Statistical Society. Her awards include Certified Six Sigma Master Black Belt, Laboratory Distinguished Performance Team Award, and a...
PHYSICS 775 Statistical Physics Lecturer: Maarten Golterman
Golterman, Maarten
and P. D. Beale, Statistical Mechanics, third edition only, Academic Press (Elsevier). Prerequisites to contact the instructor. The Disability Programs and Resource Center (DPRC) is available to facilitate
Using a calculator to do statistics
Dave
2012-03-25
Statistics on a Scientific Calculator. NOTE: Some of these may not be regular keys on your calculator and may appear in a different color above another key.
Bridging the Gap Between Tools for Learning and for Doing Statistics
McNamara, Amelia Ahlers
2015-01-01
State of statistics knowledge . . . . . . .learning statistics . . . . . . . . . . . . . . . . The gaplearning and for doing statistics . . History of tools for
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
Statistics beyond Physics -Misused in Public ?
Kobe, Sigismund
and oranges (vergleiche pfel mit Birnen) #12;2.1 Local criterium Example: 1 murder in Pirna statistically smeared over Germany PIR Result: ,,0.002 murder" attributed to Saarbrcken, 0.05 to Berlin, .... 0;3. Confidence region ... of data points Example: from PKS (German Police Crime Statistics): The number of murder
GIS, SPATIAL STATISTICAL GRAPHICS, AND FOREST HEALTH.
Symanzik, Jrgen
1 GIS, SPATIAL STATISTICAL GRAPHICS, AND FOREST HEALTH. James J. Majure, Noel Cressie, Dianne Cook, and Jrgen Symanzik ABSTRACT This paper discusses the use of a geographic information systems (GIS), Arcview, into a geographic information system (GIS), Arcview 2.1 (ESRI 1995), and its use in the statistical analysis of spa
DEPARTMENT OF STATISTICS North Carolina State University
Zhang, Hao "Helen"
DEPARTMENT OF STATISTICS North Carolina State University 2501 Founders Drive, Campus Box 8203 for Nonparametric Regression in Exponential Families Hao Zhang Department of Statistics, North Carolina State Zhang and Yi Lin North Carolina State University and University of Wisconsin at Madison Abstract: We
The University of Chicago Department of Statistics
- dimensional data. In this context, graphical models can act as a tool for regularization and have proven to be excellent tools for the analysis of high dimensional data. Graphi- cal models are statistical models where procedures for graphical models have recently received much attention in the statistics literature. The hyper
Statistical Seismology DAVID VERE-JONES,1
Ben-Zion, Yehuda
models without statistics, and statistics-based models without physics. This volume, which is based such broad insights into tractable explicit models, that can be fitted to a specific data set and used observations demand matching techniques of modeling and data anal
Statistics W4240: Data Mining Columbia University
Columbia University
Statistics W4240: Data Mining Columbia University Spring, 2014 Version: January 30, 2014 Massive data collection and storage capacities have led to new statistical questions: Amazon collects and collects user click-through data on those stories. How should it organize the stories based on the click
Statistical data mining Finn Arup Nielsen
Nielsen, Finn rup
Statistical data mining Finn Arup Nielsen Informatics and Mathematical Modelling Technical University of Denmark February 3, 2004 #12;Introduction "Statistical data mining". The goal is "knowledge databases (PubMed, MeSH, fMRIDC, SenseLab) Finn Arup Nielsen 2 February 3, 2004 #12;Mining for novelty
Department of Mathematics MAL 522 (Statistical Inference)
Dharmaraja, S.
location parameter family the sample variance is ancillary. 9. Using Basu's theorem establish that sample parameter . Show that (Y1, Y2, . . . , Yn-1) where Yi = X(n) - X(i), i = 1, 2, . . . , n - 1 is ancillary or not the ancillary statistics (Y1, Y2, . . . , Yn-1) is independent of the minimal sufficient statistics of . 12
Conditional statistical inference and quantification of relevance
Sundberg, Rolf
a quantification of the concept of relevance for conditional in- ference. Conditioning on an ancillary statistic makes inference more relevant in this sense, provided that the ancillary is a precision index. Not all ancillary statistics satisfy this demand. We discuss the problem of choice between alternative ancillary
Multivariate Statistical Tests for Comparing Classification Algorithms
Alpaydýn, Ethem
Multivariate Statistical Tests for Comparing Classification Algorithms Olcay Taner Yildiz1 , ¨Ozlem these in a single number, we propose to collect multivariate statistics and use multivariate tests on them rate (tpr) and false positive rate (fpr) and a multivariate test can also use such two values instead
STATISTICAL STUDIES OF FILAMENT DISAPPEARANCES AND CMES
STATISTICAL STUDIES OF FILAMENT DISAPPEARANCES AND CMES G. Yang and H. Wang 1 1Big Bear Solar Observatory, 40386 North Shore Lane, Big Bear City, CA 92314, USA ABSTRACT A statistical study of filament full disk images observed between January 1997 and June 1999 is searched for filament and prominence
Towards a Statistically Semantic Web Gerhard Weikum
Waldmann, Uwe
1/44 Towards a Statistically Semantic Web Gerhard Weikum weikum@mpi-sb.mpg.de http://www.mpi-sb.mpg: ,,There is no semantic anything in CS." Alon Halevy: ,,Structure + Statistics = Semantics" Tim Berners of one`s ignorance." 4/44 #12;A Few Challenging Queries (on Web / Deep Web / Intranet / Personal Info
Computational Aspects in Statistical Signal Processing
Kundu, Debasis
14 Computational Aspects in Statistical Signal Processing D. Kundu 14.1 Introduction Signal such as communi- cations, radio location of objects, seismic signal processing and computer assisted medical diagnosis. Statistical signal processing is also used in many physical science applications
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
Scalable Statistical Bug Isolation Computer Sciences Department
Aiken, Alex
algorithm that isolates bugs in programs containing multiple undiagnosed bugs. Earlier statistical Descriptors D.2.4 [Software Engineer- ing]: Software/Program Verification--statistical methods; D.2 with a program point may or may not be tested each time the program point is reached). A feedback report R
Fractal Statistics and Quantum Black Hole Entropy
Wellington da Cruz
2000-11-18
Simple considerations about the fractal characteristic of the quantum-mechanical path give us the opportunity to derive the quantum black hole entropy in connection with the concept of fractal statistics. We show the geometrical origin of the numerical factor of four of the quantum black hole entropy expression and the statistics weight appears as a counting of the quanta of geometry.
Degenerate U- and V -statistics under ergodicity: Asymptotics, bootstrap and applications in statistics Anne Leucht Universitat Hamburg Fachbereich Mathematik, SPST Bundesstrae 55 D-20146 Hamburg.neumann@uni-jena.de Abstract We derive the asymptotic distributions of degenerate U- and V -statistics of stationary
Graduate Programs in Mathematics, Statistics, and Physics The Department of Mathematics, Statistics, and Physics at Wichita State University offers courses leading to the Master of Science (MS) degree in the doctoral program in applied mathematics are applied mathematics, statistics, and applied mathematics-physics
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)
2011-07-01
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.
Quantum Statistical Processes in the Early Universe
B. L. Hu
1993-02-22
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.
Time as a parameter of statistical ensemble
Sergei Viznyuk
2011-11-26
The notion of time is derived as a parameter of statistical ensemble representing the underlying system. Varying population numbers of microstates in statistical ensemble result in different expectation values corresponding to different times. We show a single parameter which equates to the notion of time is logarithm of the total number of microstates in statistical ensemble. We discuss the implications of proposed model for some topics of modern physics: Poincar\\'e recurrence theorem vs. Second Law of Thermodynamics, matter vs. anti-matter asymmetry of the universe, expansion of the universe, Big Bang.
Spin - or, actually: Spin and Quantum Statistics
Juerg Froehlich
2008-02-29
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.
Interdisciplinary Mathematics/Statistics Actuarial Science Sample ...
Interdisciplinary Mathematics/Statistics Actuarial Science Sample Plan 2 . 1 MA 161 (4-5) MA/S T 170 ENGL 101 Lab Science Language or 165, 173, 181, 271...
Statistical analysis of correlated fossil fuel securities
Li, Derek Z
2011-01-01
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 ...
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 criteria for characterizing irradiance time series.
Stein, Joshua S.; Ellis, Abraham; Hansen, Clifford W.
2010-10-01
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.
Statistical Sciences Group, Los Alamos National Laboratory,
Wolfe, Patrick J.
Luke Bornn CCS-6, Statistical Sciences Group, Los Alamos National Laboratory, MS F600, Los Alamos Institute, Los Alamos National Laboratory, MS T006, Los Alamos, NM 87545 Structural Health Monitoring
Generalized binomial distribution in photon statistics
Aleksey V. Ilyin
2015-05-28
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.
Statistical mechanics of a cat's cradle
Shen, Tongye; Wolynes, Peter G
2006-01-01
cells. In our view, cell mechanics remains at an early stagefor physics Statistical mechanics of a cats cradle Tongyemodel [2, 3] of cell mechanics [7], but here we limit
Mathematics and Statistics Handbook College of Engineering
Hickman, Mark
, Chemistry, Physics, Geography, Geology, Biology, Economics and Finance, Philosophy and Engineering. We host of different jobs that require mathematics or statistics and demand for graduates is ever expanding. We live
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Last 30 Days These plots show the daily statistics for the last 30 days for the storage systems at NERSC in terms of the amount of data transferred and the number of files...
Introduction to Statistical Issues in Particle Physics
Roger Barlow
2003-11-20
An account is given of the methods of working of Experimental High Energy Particle Physics, from the viewpoint of statisticians and others unfamiliar with the field. Current statistical problems, techniques, and hot topics are introduced and discussed.
Multivariate Statistical Analysis of Assembly Tolerance Specifications
i Multivariate Statistical Analysis of Assembly Tolerance Specifications A Thesis Presented ..........................................................................................................12 2.6.1 Multivariate Normal Distributions.8.3 Combined Assembly Specification Quality...............................................22 2.9 Multivariate
Understanding Manufacturing Energy Use Through Statistical Analysis
Kissock, J. K.; Seryak, J.
2004-01-01
Energy in manufacturing facilities is used for direct production of goods, space conditioning, and general facility support such as lighting. This paper presents a methodology for statistically analyzing plant energy use in terms of these major end...
Model Risk in Finance Department of Statistics
Stine, Robert A.
worth taking Statistical issues Multiplicity Transformations to obtain "independence" Orthogonality Year Valueof$100Investment Case-Shiller Housing Total Stock Market 3 #12;Wharton default Correlation risk Regulatory risk Reputation risk Operational risk Systemic risk, market risk
APS Operational Statistics for FY 2011
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FY 2011 Bar Chart of Downtime by System HTML or PDF FY 2011 Bar Chart of Faults by System HTML or PDF Run Statistics by WeekHTML or PDF Studies BreakdownSummary(PDF) Details(PDF)...
Twisted Statistics in kappa-Minkowski Spacetime
T. R. Govindarajan; Kumar S. Gupta; E. Harikumar; S. Meljanac; D. Meljanac
2008-03-10
We consider the issue of statistics for identical particles or fields in kappa-deformed spaces, where the system admits a symmetry group G. We obtain the twisted flip operator compatible with the action of the symmetry group, which is relevant for describing particle statistics in presence of the noncommutativity. It is shown that for a special class of realizations, the twisted flip operator is independent of the ordering prescription.
Statistical Mechanics of Two-dimensional Foams
Marc Durand
2010-09-07
The methods of statistical mechanics are applied to two-dimensional foams under macroscopic agitation. A new variable -- the total cell curvature -- is introduced, which plays the role of energy in conventional statistical thermodynamics. The probability distribution of the number of sides for a cell of given area is derived. This expression allows to correlate the distribution of sides ("topological disorder") to the distribution of sizes ("geometrical disorder") in a foam. The model predictions agree well with available experimental data.
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
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
STATISTICS MAJOR REQUIREMENTS: ADVISEMENT FORM BACHELOR OF SCIENCE DEGREE
Suri, Manil
STATISTICS MAJOR REQUIREMENTS: ADVISEMENT FORM BACHELOR OF SCIENCE DEGREE APPLIED STATISTICS TRACK STAT 350 Statistics with Applications in the Biological Sciences OR STAT 351 Applied Statistics for Business and Economics OR STAT 355 Introduction to Probability and Statistics for Scientists and Engineers
Estimating Wireless Network Properties with Spatial Statistics and Models
Paris-Sud XI, Universit 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
OpenIntro Statistics: an Open-source Textbook
Cetinkaya-Rundel, Mine; Diez, David M; Barr, Christopher D
2013-01-01
OpenIntro Statistics: an open-source textbook 1.0to teaching introductory statistics. Section 2 also touchesIntroductory courses in statistics, the type that require no
Local asymptotic normality in quantum statistics
Madalin Guta; Anna Jencova
2007-05-24
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.
Fact #602: December 21, 2009 Freight Statistics by Mode, 2007...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
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...
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...................................................................................................... 7 Study Design
Stochastically Lighting Up Galaxies: Statistical Implications of Stellar Clustering
da Silva, Robert Louis
2014-01-01
SANTA CRUZ STOCHASTICALLY LIGHTING UP GALAXIES: STATISTICAL2 SLUG - Stochastically Lighting Up Galaxies: Methods andx Abstract Stochastically Lighting Up Galaxies: Statistical
Statistical surrogate models for prediction of high-consequence...
Office of Scientific and Technical Information (OSTI)
Technical Report: Statistical surrogate models for prediction of high-consequence climate change. Citation Details In-Document Search Title: Statistical surrogate models for...
Statistical Surrogate Models for Estimating Probability of High...
Office of Scientific and Technical Information (OSTI)
Statistical Surrogate Models for Estimating Probability of High-Consequence Climate Change. Citation Details In-Document Search Title: Statistical Surrogate Models for Estimating...
Learning Statistics Using Motivational Videos, Real Data and Free Software
Harraway, John A
2012-01-01
S. (2010) Statistical software for teaching: relevant,2005) Fathom Dynamic Data Software (Version 2) Emeryville,to R. Journal of Statistical Software. 14: (9). URL http://
Independence of some polynomial statistics and of the sample mean
2005-01-07
problems of mathematical statistics consists of determining the functions F(t) for which ... statistics is linear, the general method of solving such problems is that of
Environment/Health/Safety (EHS): Monthly Accident Statistics
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Personal Protective Equipment (PPE) Injury Review & Analysis Worker Safety and Health Program: PUB-3851 Monthly Accident Statistics Latest Accident Statistics Accident...
Semi-Poisson statistics in quantum chaos
Antonio M. Garcia-Garcia; Jiao Wang
2006-05-01
We investigate the quantum properties of a non-random Hamiltonian with a step-like singularity. It is shown that the eigenfunctions are multifractals and, in a certain range of parameters, the level statistics is described exactly by Semi-Poisson statistics (SP) typical of pseudo-integrable systems. It is also shown that our results are universal; namely, they depend exclusively on the presence of the step-like singularity and are not modified by smooth perturbations of the potential or the addition of a magnetic flux. Although the quantum properties of our system are similar to those of a disordered conductor at the Anderson transition, we report important quantitative differences in both the level statistics and the multifractal dimensions controlling the transition. Finally the study of quantum transport properties suggests that the classical singularity induces quantum anomalous diffusion. We discuss how these findings may be experimentally corroborated by using ultra cold atoms techniques.
Spin-Statistics Violations in Superstring Theory
Mark G. Jackson
2008-12-30
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 worldsheet 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.
Sriraman, Bharath
-Index: 17 scholar.google.com Copyright - Jan Feyereisl (v.1.211) Project Page view publications AuthorA Google Scholar gadget for calculating author citations and other statistical information regarding publications. more... Statistics: Citations for 'Sriraman.B' : 1153 Cited Publications: 100 H
Astrophysical Thermonuclear Functions for Boltzmann-Gibbs Statistics and Tsallis Statistics
R. K. Saxena; A. M. Mathai; H. J. Haubold
2004-06-22
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.
Introduction to CEAL Online Statistics I
Doll, Vickie; Liu, Wen-ling
2014-09-25
CEAL Statistics Open Data, 1957- CEAL stats workshop I 109/25/2014 CEAL Statistics Open Data, 1957- Table View (Basic and Advance) Graph View (Basic and Advance) Quick View PDF CEAL stats workshop I 209/25/2014 Table View (Basic) CEAL stats... workshop I 309/25/2014 Table View (Basic) Search the database with year(s) and libraries, and view all the data and fields available in individual tables. CEAL stats workshop I 409/25/2014 Table View (Basic) Choose multiple years and libraries (use...
Spin, Statistics, and Reflections, II. Lorentz Invariance
Bernd Kuckert; Reinhard Lorenzen
2005-12-21
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.
On the explanation for quantum statistics
Simon Saunders
2005-11-15
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
2015-08-19
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.
Black Hole Thermodynamics and Statistical Mechanics
Steven Carlip
2008-07-28
We have known for more than thirty years that black holes behave as thermodynamic systems, radiating as black bodies with characteristic temperatures and entropies. This behavior is not only interesting in its own right; it could also, through a statistical mechanical description, cast light on some of the deep problems of quantizing gravity. In these lectures, I review what we currently know about black hole thermodynamics and statistical mechanics, suggest a rather speculative "universal" characterization of the underlying states, and describe some key open questions.
On statistical methods of structure function extraction
S. N. Sevbitov; T. V. Shishkina; I. L. Solovtsov
2007-11-29
Several methods of statistical analysis are proposed and analyzed in application for a specific task -- extraction of the structure functions from the cross sections of deep inelastic interactions of any type. We formulate the method based on the orthogonal weight functions and on an optimization procedure of errors minimization as well as methods underlying common $\\chi^2$ minimization. Effectiveness of these methods usage is analyzed by comparison of the statistical parameters such as bias, extraction variance etc., for sample deep inelastic scattering data set.
GIS, SPATIAL STATISTICAL GRAPHICS, AND FOREST HEALTH.
Symanzik, Jrgen
, and Jrgen Symanzik ABSTRACT This paper discusses the use of a geographic information systems (GIS), Arcview, into a geographic information system (GIS), Arcview 2.1 (ESRI 1995), and its use in the statistical analysis of spa Program (EMAP). The field data are augmented with concomitant geographic information, including Landsat
The University of Chicago Department of Statistics
Stephens, Matthew
of Statistics The University of Chicago The Weekend Effect of Return on Crude Oil Prices THURSDAY, February 26, 2009 at 11:00 AM 110 Eckhart Hall, 5734 S. University Avenue ABSTRACT Crude oil prices experienced movements of WTI crude oil prices can be observed during the period from 1986 to 2008. Spectral analysis
Remarks on statistical errors in equivalent widths
Klaus Vollmann; Thomas Eversberg
2006-07-03
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.
Purpose of journals Some popular statistical journals
Reich, Brian J.
Outline Purpose of journals Some popular statistical journals How to structure a journal article What makes a good journal article? Editorial structure of a journal The review process Submitting a paper Acting as a referee 1 #12;Purpose of journals Research: The mechanism by which knowledge
Statistical Consistency With Dempster's Rule on
Valtorta, Marco
Parameters Stephen D. Durham Department of Statistics, University of South Carolina, Columbia, South Carolina Jeffery S. Smoika MEMC Electronic Materials, Inc., Spartanburg, South Carolina Marco Valtorta Department of Computer Science, University of South Carolina, Columbia, South Carolina ABSTRACT This paper defines
SHORT REVIEW Statistical tests of selective neutrality
Nielsen, Rasmus
SHORT REVIEW Statistical tests of selective neutrality in the age of genomics RASMUS NIELSEN genomic data for traces of selection provides a powerful tool for identifying genomic regions genomic data sets has invigorated the ®eld of molecular population genetics and spurred new controversies
URI WILENSKY STATISTICAL MECHANICS FOR SECONDARY SCHOOL
Wilensky, Uri
, is made accessible to these students through the medium of a computer-based modeling environment, Net exploring and constructing computer-based models of that content. This paper presents a case study of a high of a secondary teacher and students constructing and exploring NetLogo models of statistical mech- anical
Spectral statistics for scaling quantum graphs
Yu. Dabaghian
2006-08-09
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 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
A Statistical Framework for Spatial Comparative Genomics
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INDIAN STATISTICAL INSTITUTE SQC & OR Unit Bangalore Announces Certification Program for SIX SIGMA.isi@gmail.com, sanjitisi@yahoo.co.in 6th - 8th, 12th 14th September; 2014 Bangalore #12;EXPECTATION! Six Sigma is like, Dean Witter, Discover & Co. (Report on Business Magazine, October 1997) Six Sigma initiative has
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This document consists of lecture notes for a graduate course, which focuses on the relations between Information Theory and Statistical Physics. The course is aimed at EE graduate students in the area of Communications and Information Theory, as well as to graduate students in Physics who have basic background in Information Theory. Strong emphasis is given to the analogy and parallelism between Information Theory and Statistical Physics, as well as to the insights, the analysis tools and techniques that can be borrowed from Statistical Physics and `imported' to certain problem areas in Information Theory. This is a research trend that has been very active in the last few decades, and the hope is that by exposing the student to the meeting points between these two disciplines, we will enhance his/her background and perspective to carry out research in the field. A short outline of the course is as follows: Introduction; Elementary Statistical Physics and its Relation to Information Theory; Analysis Tools in ...
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Srinivasan, Karthik
1999-01-01
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Broader source: Energy.gov [DOE]
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Oak Ridge National Laboratory
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2011-08-08
Four problems in non-equilibrium statistical physics are investigated: 1. The thermodynamics of single-photon gas; 2. Energy of the ground state in Multi-electron atoms; 3. Energy state of the H2 molecule; and 4. The Condensation behavior in N...
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The concept of fractal index is introduced in connection with the idea of universal class $h$ of particles or quasiparticles, termed fractons, which obey fractal statistics. We show the relation between fractons and conformal field theory(CFT)-quasiparticles taking into account the central charge $c[\
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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
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Symanzik, Jrgen
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Kagan, Yan Y
2010-01-01
Statistical short-term earthquake prediction, Science, Kotz,Earthquake interaction, forecast- ing, and prediction <
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Bleher, Pavel
Journal of Statistical Physics, Vol. 74. Nos. 1/2, 1994 Energy-Level Statistics of Model Quantum limit of a distribution for annuli of finite area. KEY WORDS: Energy-level statistics; integrable Received June 17. 1993 We investigate the statistics of the number N(R, S) of lattice points, n EZ
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
Robust statistical reconstruction for charged particle tomography
2013-10-08
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.
Statistical Issues in Searches for New Physics
Louis Lyons
2014-09-05
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.
A different approach to introducing statistical mechanics
Moore, Thomas A
2015-01-01
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...
Consequences of Flooding on Spectral Statistics
Torsten Rudolf; Normann Mertig; Steffen Lck; Arnd Bcker
2012-04-05
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.
Topological Cacti: Visualizing Contour-based Statistics
Weber, Gunther H.; Bremer, Peer-Timo; Pascucci, Valerio
2011-05-26
Contours, the connected components of level sets, play an important role in understanding the global structure of a scalar field. In particular their nestingbehavior and topology-often represented in form of a contour tree-have been used extensively for visualization and analysis. However, traditional contour trees onlyencode structural properties like number of contours or the nesting of contours, but little quantitative information such as volume or other statistics. Here we use thesegmentation implied by a contour tree to compute a large number of per-contour (interval) based statistics of both the function defining the contour tree as well asother co-located functions. We introduce a new visual metaphor for contour trees, called topological cacti, that extends the traditional toporrery display of acontour tree to display additional quantitative information as width of the cactus trunk and length of its spikes. We apply the new technique to scalar fields ofvarying dimension and different measures to demonstrate the effectiveness of the approach.
Entropic cosmology through non-gaussian statistics
Nunes, Rafael C; Abreu, Everton M C; Neto, Jorge Ananias
2015-01-01
Based on the relationship between thermodynamics and gravity, and with the aid of Verlinde's formalism, we propose an alternative interpretation of the dynamical evolution of the Friedmann-Robertson-Walker Universe, which takes into account the entropy and temperature intrinsic to the horizon of the universe due to the information holographically stored there through non-gaussian statistical theories proposed by Tsallis and Kaniadakis. We use the most recent data of type Ia supernovae, baryon acoustic oscillations, and the Hubble expansion rate function to constrain the free parameters on the $\\Lambda$CDM and $w$CDM models modified by the non-gaussian statistics. We evaluate the problem of age and we note that such modifications solve the problem at 1$\\sigma$ level confidence. Also we analyze the effects on the linear growth of matter density perturbations.
Mathematical and Statistical Opportunities in Cyber Security
Meza, Juan; Bailey, David
2009-01-01
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 approach to nuclear level density
Sen'kov, R. A.; Horoi, M.; Zelevinsky, V. G.
2014-10-15
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.
Lecture Notes in Statistical Mechanics and Mesoscopics
Doron Cohen
2012-07-19
These are the lecture notes for quantum and statistical mechanics courses that are given by DC at Ben-Gurion University. They are complementary to "Lecture Notes in Quantum Mechanics" [arXiv: quant-ph/0605180]. Some additional topics are covered, including: introduction to master equations; non-equilibrium processes; fluctuation theorems; linear response theory; adiabatic transport; the Kubo formalism; and the scattering approach to mesoscopics.
Statistical review of coal in Canada, 1997
Not Available
1999-01-01
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).
Statistical equilibrium in deterministic cellular automata
Siamak Taati
2015-05-24
Some deterministic cellular automata have been observed to follow the pattern of the second law of thermodynamics: starting from a partially disordered state, the system evolves towards a state of equilibrium characterized by maximal disorder. This chapter is an exposition of this phenomenon and of a statistical scheme for its explanation. The formulation is in the same vein as Boltzmann's ideas, but the simple combinatorial setup offers clarification and hope for generic mathematically rigorous results. Probabilities represent frequencies and subjective interpretations are avoided.
Discriminative methods for statistical spoken dialogue systems
Henderson, Matthew S.
2015-06-30
figures and tables. Some of the work presented here was pub- lished in the Special Interest Group on Discourse and Dialogue (Henderson et al., 2014b, 2013, 2014a) and the IEEE workshop on Spoken Language Technology (Henderson et al., 2014c, 2012, 2014d... Understanding . . . . . . . . . . . . . . . . . . . . . . . 8 2.3 Dialogue State Tracking . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.4 Dialogue Management . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 2.4.1 Statistical Dialogue...
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Eisenberg, Joel Fred [ORNL
2010-03-01
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.
Edwards, T.B.
2001-01-16
The purpose of this report is to provide software verification and validation (v and v) for the statistical packages utilized by the Statistical Consulting Section (SCS) of the Savannah River Technology Center (SRTC). The need for this v and v stems from the requirements of the Quality Assurance (QA) programs that are frequently applicable to the work conducted by SCS. This document is designed to comply with software QA requirements specified in the 1Q Manual Quality Assurance Procedure 20-1, Revision 6. Revision 1 of this QA plan adds JMP Version 4 to the family of (commercially-available) statistical tools utilized by SCS. JMP Version 3.2.2 is maintained as a support option due to features unique to this version of JMP that have not as yet been incorporated into Version 4. SCS documents that include JMP output should provide a clear indication of the version or versions of JMP that were used. The IBM Personal Computer 300PL and 300XL are both Pentium II based desktops. Therefore, th e software verification and validation in this report is valid interchangeably between both platforms. As new computing platforms, statistical packages, or revisions to existing packages are introduced into the Statistical Consulting Section, the appropriate problems from this report are to be re-evaluated, and this report is to be revised to address their verification and validation.
Independence of some polynomial statistics and of the sample mean
2005-01-07
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Evaporation Duct Estimation from Clutter Using Meteorological Statistics
Gerstoft, Peter
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McLachlan, Geoff
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Mertens, Stephan
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Poinsot, Laurent
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Signal statistics of phase dependent optical time domain reflectometry
Wojcik, Aleksander Karol
2007-04-25
The statistics of the phase dependent optical time-domain reflectometer have been analyzed. The optical fiber is modeled by the use of a discrete set of reflectors positioned randomly along the fiber. The statistics of the ...
Beyond subjective and objective in statistics Andrew Gelman Christian Hennig
Gelman, Andrew
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1 Discovering Statistical Models of Availability in Large Distributed Systems: An Empirical Study. Invariably, these systems are composed of heterogeneous hosts whose individual availability often exhibit describe an effective method for discovering subsets of hosts whose availability have similar statistical
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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
Statistical simulation ?of the magnetorotational dynamo
Squire, J.; Bhattacharjee, A.
2014-08-01
We analyze turbulence and dynamo induced by the magnetorotational instability (MRI) using quasi-linear statistical simulation methods. We find that homogenous turbulence is unstable to a large scale dynamo instability, which saturates to an inhomogenous equilibrium with a very strong dependence on the magnetic Prandtl number (Pm). Despite its enormously reduced nonlinearity, the quasi-linear model exhibits the same qualitative scaling of angular momentum transport with Pm as fully nonlinear turbulence. This demonstrates the relationship of recent convergence problems to the large scale dynamo and suggests possible methods for studying astrophysically relevant regimes at very low or high Pm.
On the statistics of the gravitational field
A. Del Popolo
2001-10-26
In this paper we extend Chandrasekhar and von Neumann's analysis of the statistics of the gravitational field to systems in which particles (e.g. stars, galaxies) are not homogeneously distributed. We derive a distribution function W(F,d F/dt) giving the joint probability that a test particle is subject to a force F and an associated rate of change of F given by d F/dt. We calculate the first moment of d F/dt to study the effects of inhomogenity on dynamical friction.
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesseworkSURVEY UNIVERSEHow ORISE is MakingScience EducationStandardsStatistical
Statistical physical approach to describe the collective properties of dislocations
Groma, Istvn
Etvs University Budapest http://metal.elte.hu/~.groma/CISM/talk.pdf p. 1/? #12;Statistical physical
Statistical Algorithms for High-throughput Biological Data /
Jeong, Kyowon
2013-01-01
Statistical Algorithms for High-throughput Biological Data by Kyowon Jeong Doctor of Philosophy in Electrical Engineering (Communication Theory
Edwards, T.B.
2000-03-22
The purpose of this report is to provide software verification and validation for the statistical packages used by the Statistical Consulting Section (SCS) of the Savannah River Technology Center. The need for this verification and validation stems from the requirements of the Quality Assurance programs that are frequently applicable to the work conducted by SCS. The IBM Personal Computer 300PL and 300XL are both Pentium II based desktops. Therefore the software verification and validation in this report is valid interchangeably between both platforms. As new computing platforms, statistical packages, or revisions to existing packages are reevaluated using these new tools, this report is to be revised to address their verification and validation.
A Systematic Review of Statistical Power in Software Engineering Experiments
is the notion of statistical power, which is defined as the probability that a statistical test will correctly Statistical power is an inherent part of empirical studies that employ significance testing and is essential accepted norms as well as the levels found in the related discipline of information systems research. Given
A statistically predictive model for future monsoon failure in India
Levermann, Anders
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Coolen, Frank
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Mathematics & Statistics Strategic Planning Phase III, Part I
Schweik, Charles M.
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Roma "La Sapienza", Universit di
, the energy of an electron will be -e V , hence, accord- ing to the classical statistics, the electrons case the classical statistics held, we would have an average elec- trons kinetic energy = 3 2 kStatistical method to determine some properties of atoms Enrico Fermi, Rendiconti Lincei , 6, 602
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Landscape statistics of the low autocorrelated binary string problem
Stadler, Peter F.
, NM 87501, USA Abstract. The statistical properties of the energy landscape of the low autocorrelated]. In this contribution we carry out a thorough investigation of the statistical properties of the energy landscapeLandscape statistics of the low autocorrelated binary string problem Fernando F. Ferreira a , Jos
Landscape statistics of the low autocorrelated binary string problem
Stadler, Peter F.
, NM 87501, USA Abstract. The statistical properties of the energy landscape of the low autocorrelated]. In this contribution we carry out a thorough investigation of the statistical properties of the energy landscapeLandscape statistics of the low autocorrelated binary string problem Fernando F. Ferreiraa , Jos
POS: A Practical Order Statistics Service for Wireless Sensor Networks
Cox, Landon
can be used to compute statistics such as max, min, and average accurately and energy order statistics cannot deliver both good accuracy and energy efficiency. This is unfortunate because the design and implementation of POS, an in- network service that computes accurate order statistics energy
The Annals of Statistics 2013, Vol. 41, No. 5, 22632291
Tibshirani, Ryan
of statistics used in two-sample and independence testing: on the one hand, the energy distances and distance that the energy distance most commonly employed in statistics is just one member of a parametric family of kernels of energy distance-based statistics is their compact repre- sentation in terms of certain expectations
A computational introduction to quantum statistics using harmonically trapped particles
Ligare, Martin
and multiplicities. The examples illustrate the effect of quantum statistics on the sharing of energy between weaklyA computational introduction to quantum statistics using harmonically trapped particles Martin the statistical definition of entropy and the second law of thermodynamics [Am. J. Phys. 65, 26 (1997)]. I
Energy conservation, counting statistics, and return to equilibrium
Jaksic, Vojkan
Energy conservation, counting statistics, and return to equilibrium V. Jaksi´c1 , J. Panangaden1 to the joint thermal equilibrium state, we study the Full Counting Statistics (FCS) of the energy transfers , A. Panati1,2 , C-A. Pillet2 1 Department of Mathematics and Statistics, McGill University, 805
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
WHAT PHYSICAL QUANTITIES MAKE SENSE IN NONEQUILIBRIUM STATISTICAL MECHANICS?
Ruelle, David
WHAT PHYSICAL QUANTITIES MAKE SENSE IN NONEQUILIBRIUM STATISTICAL MECHANICS? by David Ruelle*. Abstract. Statistical mechanics away from equilibrium is in a formative stage, where general concepts;1 Introduction. Statistical mechanics, as seen by Boltzmann, is an attempt to understand the bulk properties
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
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 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
Montana State University 1 M.S. in Statistics
Maxwell, Bruce D.
Montana State University 1 M.S. in Statistics Program Guidelines The Master of Science degree in statistics at Montana State University gives students a solid background in the applications as well as the theory of statistics. Students in this program prepare either for further graduate work
A Perspective on Statistical Tools for Data Mining Applications
Rocke, David M.
A Perspective on Statistical Tools for Data Mining Applications David M. Rocke Center for Image Processing and Integrated Computing University of California, Davis Statistics and Data Mining Statistics in the field are aimed at more exploratory ends. In this sense, data mining (defined as the exploratory
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 and highlights the fundamental di erences between statistical and computational views of data mining. In do- ing
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 and highlights the fundamental differences between statistical and computational views of data mining. In do ing
Statistical Mechanics of Recurrent Neural Networks I Statics
Coolen, ACC "Ton"
CHAPTER 14 Statistical Mechanics of Recurrent Neural Networks I ± Statics A.C.C. COOLEN Department . . . . . . . . . . . . . . . . . . . . . . . . . . 540 2.3. Detailed balance and equilibrium statistical mechanics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 595 532 #12;1. Introduction Statistical mechanics deals with large systems of stochastically
Statistical Modeling of Asynchronous Impulsive Noise in Powerline Communication Networks
Evans, Brian L.
Statistical Modeling of Asynchronous Impulsive Noise in Powerline Communication Networks Marcel statistics of asynchronous noise. In this paper, we (i) derive a canonical statistical-physical model readers interested in channel modeling to [1], [2], [3], [4], [5]. The non-Gaussian noise in PLC networks
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
Automated Statistics Collection in DB2 UDB A. Aboulnaga*
Aboulnaga, Ashraf
of these statistics has tradition- ally been a time-consuming manual operation, requir- ing that the database and maintenance of database statistics. ASC monitors both the update-delete-insert (UDI) activities on the data, because such incremental maintenance is too expensive. Statistics for tables with high data change rates
Embracing Statistical Challenges in the Information Technology Age
Yu, Bin
Embracing Statistical Challenges in the Information Technology Age Bin YU Department of Statistics.stat.berkeley.edu/users/binyu) This article examines the role of statistics in the age of information technology (IT). It begins by examining into computer technologies. 1. INTRODUCTION "Information technology (IT) is a broad subject concerned
The Role of Statistical Principles in Quantitative Biomedical Modeling
Davidian, Marie
The Role of Statistical Principles in Quantitative Biomedical Modeling Atlantic Coast Conference University http://www.stat.ncsu.edu/davidian Statistical Principles in Biomedical Modeling 1 #12;Outline 1. Modeling in biomedical research 2. Sources of variation in data 3. Statistical models 4. Hierarchical
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
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
R, Christopher
Optimizing Statistical Information Extraction Programs Over Evolving Text Fei Chen1, Xixuan Feng2, Christopher Re2, 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
R, 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 Re 3 , Min Wang 4 1,4 HP Labs China, 2,3 University of Wisconsin-Madison 1 fei
International petroleum statistics report, July 1999
1999-07-01
The International Petroleum Statistics Report is a monthly publication that provides current international oil data. This report is published for the use of Members of Congress, Federal agencies, State agencies, industry, and the general public. The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1990, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years and annually for the three years prior to that. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1998; OECD stocks from 1973 through 1998; and OECD trade from 1988 through 1998. 4 figs., 44 tabs.
International petroleum statistics report, March 1998
1998-03-01
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.
Lectures on probability and statistics. Revision
Yost, G.P.
1985-06-01
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. They 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 probabilty of any specified outcome. They 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. Hopefully, the reader will come away from these notes with a feel for some of the problems and uncertainties involved. Although there are standard approaches, most of the time there is no cut and dried ''best'' solution - ''best'' according to every criterion.
The Statistical Theory of Quantum Dots
Y. Alhassid
2001-02-15
A quantum dot is a sub-micron-scale conducting device containing up to several thousand electrons. Transport through a quantum dot at low temperatures is a quantum-coherent process. This review focuses on dots in which the electron's dynamics are chaotic or diffusive, giving rise to statistical properties that reflect the interplay between one-body chaos, quantum interference, and electron-electron interactions. The conductance through such dots displays mesoscopic fluctuations as a function of gate voltage, magnetic field, and shape deformation. The techniques used to describe these fluctuations include semiclassical methods, random-matrix theory, and the supersymmetric nonlinear $\\sigma$ model. In open dots, the approximation of noninteracting quasiparticles is justified, and electron-electron interactions contribute indirectly through their effect on the dephasing time at finite temperature. In almost-closed dots, where conductance occurs by tunneling, the charge on the dot is quantized, and electron-electron interactions play an important role. Transport is dominated by Coulomb blockade, leading to peaks in the conductance that at low temperatures provide information on the dot's ground-state properties. Several statistical signatures of electron-electron interactions have been identified, most notably in the dot's addition spectrum. The dot's spin, determined partly by exchange interactions, can also influence the fluctuation properties of the conductance. Other mesoscopic phenomena in quantum dots that are affected by the charging energy include the fluctuations of the cotunneling conductance and mesoscopic Coulomb blockade.
International energy indicators. [Statistical tables and graphs
Bauer, E.K. (ed.)
1980-05-01
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.
Statistics of polymer adsorption under shear flow
Gui-Li He; Ren Messina; Hartmut Lwen
2009-10-09
Using non-equilibrium Brownian dynamics computer simulations, we have investigated the steady state statistics of a polymer chain under three different shear environments: i) linear shear flow in the bulk (no walls), ii) shear vorticity normal to the adsorbing wall, iii) shear gradient normal to the adsorbing wall. The statistical distribution of the chain end-to-end distance and its orientational angles are calculated within our monomer-resolved computer simulations. Over a wide range of shear rates, this distribution can be mapped onto a simple theoretical finite-extensible-nonlinear-elastic dumbbell model with fitted anisotropic effective spring constants. The tails of the angular distribution functions are consistent with scaling predictions borrowed from the bulk dumbbell model. Finally, the frequency of the characteristic periodic tumbling motion has been investigated by simulation as well and was found to be sublinear with the shear rate for the three set-ups, which extends earlier results done in experiments and simulations for free and tethered polymer molecules without adsorption.
Stars and statistical physics: a teaching experience
R. Balian; J. -P. Blaizot
1999-09-20
The physics of stars, their workings and their evolution, is a goldmine of problems in statistical mechanics and thermodynamics. We discuss many examples that illustrate the possibility of deepening student's knowledge of statistical mechanics by an introductory study of stars. The matter constituting the various stellar objects provides examples of equations of state for classical or quantal and relativistic or non-relativistic gases. Maximum entropy can be used to characterize thermodynamic and gravitational equilibrium which determines the structure of stars and predicts their instability above a certain mass. Contraction accompanying radiation induces either heating or cooling, which explains the formation of stars above a minimum mass. The characteristics of the emitted light are understood from black-body radiation and more precisely from the Boltzmann-Lorentz kinetic equation for photons. The luminosity is governed by the transport of heat by photons from the center to the surface. Heat production by thermonuclear fusion is determined by microscopic balance equations. The stability of the steady state of stars is controlled by the interplay of thermodynamics and gravitation.
Statistical performance of support vector machines
Blanchard, Gilles; Massart, Pascal
2008-01-01
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...
Statistics and geometry of cosmic voids
Gaite, Jos
2009-11-01
We introduce new statistical methods for the study of cosmic voids, focusing on the statistics of largest size voids. We distinguish three different types of distributions of voids, namely, Poisson-like, lognormal-like and Pareto-like distributions. The last two distributions are connected with two types of fractal geometry of the matter distribution. Scaling voids with Pareto distribution appear in fractal distributions with box-counting dimension smaller than three (its maximum value), whereas the lognormal void distribution corresponds to multifractals with box-counting dimension equal to three. Moreover, voids of the former type persist in the continuum limit, namely, as the number density of observable objects grows, giving rise to lacunar fractals, whereas voids of the latter type disappear in the continuum limit, giving rise to non-lacunar (multi)fractals. We propose both lacunar and non-lacunar multifractal models of the cosmic web structure of the Universe. A non-lacunar multifractal model is supported by current galaxy surveys as well as cosmological N-body simulations. This model suggests, in particular, that small dark matter halos and, arguably, faint galaxies are present in cosmic voids.
A-1 Appendix A. Hydraulic Properties Statistics Tables Table A1. Hydraulic properties statistics Deviation .1708 4.274 28.95 Harmonic Mean Number of Observations 9 8 8 2 2 2 2 2 Table A2. Hydraulic.310-5 Number of Observations 10 10 10 34 34 4 4 4 #12;A-2 Table A3. Hydraulic properties statistics
Statistical Properties of the Cluster Dynamics of the Systems of Statistical Mechanics
Sinai, Yakov
, Russia Mathematics Department of Princeton University, Princeton, NJ 08544, USA and Landau Institute of Theoretical Physics, Moscow, Russia § Department of Mathematics and Statistics, University of Nevada, Reno, NV mechanics which can be considered as a small perturbation of an ideal gas and undergoes the so
Velenik, Yvan
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
Statistical Analysis of Bus Networks in India
Chatterjee, Atanu; Ramadurai, Gitakrishnan
2015-01-01
Through the past decade the field of network science has established itself as a common ground for the cross-fertilization of exciting inter-disciplinary studies which has motivated researchers to model almost every physical system as an interacting network consisting of nodes and links. Although public transport networks such as airline and railway networks have been extensively studied, the status of bus networks still remains in obscurity. In developing countries like India, where bus networks play an important role in day-to-day commutation, it is of significant interest to analyze its topological structure and answer some of the basic questions on its evolution, growth, robustness and resiliency. In this paper, we model the bus networks of major Indian cities as graphs in \\textit{L}-space, and evaluate their various statistical properties using concepts from network science. Our analysis reveals a wide spectrum of network topology with the common underlying feature of small-world property. We observe tha...
International Petroleum Statistics Report, January 1994
Not Available
1994-01-31
The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade for the years 1970 through 1992; OECD stocks from 1973 through 1992; and OECD trade from 1982 through 1992.
International petroleum statistics report, October 1997
1997-10-01
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.
International petroleum statistics report, November 1993
Not Available
1993-11-26
The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries World oil production and OECD demand data are for the years 1970 through 1992; OECD stocks from 1973 through 1992: and OECD trade from 1982 through 1992.
Statistical mechanics of gravitating systems: An Overview
T. Padmanabhan
2009-02-16
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 Energy Statistical Review. Monthly report
Not Available
1987-01-01
The International Energy Statistical Review provides current information and comparisons with recent years for a variety of topics on international energy; almost all concern some aspect of the petroleum and natural gas industries. Six charts deal respectively with total Free World oil production, OAPEC oil production, non-Arab oil production, Free World and USSR oil production, inland oil consumption, and net oil imports. In general, the time period covers the last four or five years. The remainder of the Review is made up of 31 tables, covering such disparate topics as production, capacity, reserves, trade, consumption and stocks. Areas covered include the world, Free World, OPEC, OAPEC, OECD, selected developed countries, Western Europe, China, USSR, and Eastern Europe.
Statistical Signatures of Panspermia in Exoplanet Surveys
Lin, Henry W
2015-01-01
A fundamental astrobiological question is whether life arose spontaneously on earth or was transported here from an extrasolar system. We propose a new strategy to answer this question based on the principle that life which arose via spreading will exhibit more clustering than life which arose spontaneously. We develop simple statistical models of panspermia to illustrate observable consequences of these excess correlations. Future searches for biosignatures in the atmospheres of exoplanets could test these predictions: panspermia predicts large regions in the Milky Way where life saturates its environment interspersed with voids where life is very uncommon. In a favorable scenario, detection of as few as $\\sim 25$ biologically active exoplanets could yield a $5\\sigma$ detection of panspermia.
The Statistical Mechanics of Stretched Polymers
Dmitry Ioffe; Yvan Velenik
2009-08-04
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.
International Petroleum Statistics Report, July 1994
Not Available
1994-07-26
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 anisotropy and cosmological quantum relaxation
Antony Valentini
2015-10-08
We show that cosmological quantum relaxation predicts an anisotropic primordial power spectrum with a specific dependence on wavenumber k. We explore some of the consequences for precision measurements of the cosmic microwave background (CMB). Quantum relaxation is a feature of the de Broglie-Bohm pilot-wave formulation of quantum theory, which allows the existence of more general physical states that violate the Born probability rule. Recent work has shown that relaxation to the Born rule is suppressed for long-wavelength field modes on expanding space, resulting in a large-scale power deficit with a characteristic inverse-tangent dependence on k. Because the quantum relaxation dynamics is independent of the direction of the wave vector for the relaxing field mode, in the limit of weak anisotropy we are able to derive an expression for the anisotropic power spectrum that is determined by the power deficit function. As a result, the off-diagonal terms in the CMB covariance matrix are also determined by the power deficit. We show that the lowest-order l-(l+1) inter-multipole correlations have a characteristic scaling with multipole moment l. Our derived spectrum also predicts a residual statistical anisotropy at small scales, with an approximate consistency relation between the scaling of the l-(l+1) correlations and the scaling of the angular power spectrum at high l. We also predict a relationship between the l-(l+1) correlations at large and small scales. Cosmological quantum relaxation appears to provide a single physical mechanism that predicts both a large-scale power deficit and a range of statistical anisotropies, together with potentially testable relationships between them.
Experimental uncertainty estimation and statistics for data having interval uncertainty.
Kreinovich, Vladik; Oberkampf, William Louis; Ginzburg, Lev; Ferson, Scott; Hajagos, Janos
2007-05-01
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.
Statistical Theory MT 2009 Problems 1: Solution sketches
Reinert, Gesine
=1 Xi and put T = X 1 n-1 n i=1(Xi - X)2 . Show that T is an ancillary statistic. What does this say the distribution of T does not depend on neither; it is an ancillary statistic. Thus a t-test based on exponential of A is independent of (so A is an ancillary statistic). c) Show that any value in the interval x(n) - 1 2 , x(1) + 1
Proton-Rich Nuclear Statistical Equilibrium
I. R. Seitenzahl; F. X. Timmes; A. Marin-Laflche; E. Brown; G. Magkotsios; J. Truran
2008-08-14
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, April 1998
1998-04-01
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, April 1999
1999-05-04
The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance fore the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 48 tabs.
International petroleum statistics report, May 1998
1998-05-01
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 1998
1998-06-01
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, September 1998
1998-09-01
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, November 1998
1998-11-01
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, June 1999
1999-06-01
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, January 1999
1999-01-01
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, December 1998
1998-12-01
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, August 1998
1998-08-01
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, October 1998
1998-10-01
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
1998-07-01
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, March 1999
1999-03-01
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.
International petroleum statistics report, September 1996
1996-09-27
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.
International petroleum statistics report, February 1997
1997-02-01
The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1985 through 1995. 4 figs., 47 tabs.
International petroleum statistics report, August 1994
Not Available
1994-08-26
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, May 1995
1995-05-30
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 1983 through 1993.
International petroleum statistics report, December 1997
1997-12-01
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.
International petroleum statistics report, March 1995
1995-03-30
The International Petroleum Statistics Report presents data for March 1995 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, March 1994
1994-03-28
The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1992; OECD stocks from 1973 through 1992; and OECD trade from 1982 through 1992.
International petroleum statistics report, May 1999
1999-05-01
The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1990, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1998; OECD stocks from 1973 through 1998; and OECD trade from 1988 through 1998. 4 figs., 48 tabs.
International petroleum statistics report, October 1993
Not Available
1993-10-27
The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1980, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1992; OECD stocks from 1982 through 1992.
International petroleum statistics report, April 1997
1997-04-01
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, December 1993
Not Available
1993-12-01
The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1992; OECD stocks from 1973 through 1992; and OECD trade from 1982 through 1992. 41 tabs.
International petroleum statistics report, April 1994
Not Available
1994-04-01
The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1993; OECD stocks from 1973 through 1993; and OECD trade from 1982 through 1992. 41 tables.
International petroleum statistics report, June 1997
1997-06-01
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.
International petroleum statistics report, February 1998
1998-02-01
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.
International petroleum statistics report, September 1994
Not Available
1994-09-01
The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (ECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1993; OECD stocks from 1973 through 1993; and OECD trade from 1983 through 1993.
International petroleum statistics report, February 1994
Not Available
1994-02-28
The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1992; OECD stocks from 1973 through 1992; and OECD trade from 1982 through 1992.
International petroleum statistics report, February 1999
1999-02-01
The International petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970--1997; OECD stocks from 1973--1997; and OECD trade from 1987--1997.
International petroleum statistics report, August 1995
NONE
1995-08-25
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.
International petroleum statistics report, February 1996
1996-02-28
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.
International petroleum statistics report, November 1994
Not Available
1994-11-25
Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The International production, and on oil and stocks. The report has four sections. Section 1 contains time series data on world 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.
Protein Folding: A Perspective From Statistical Physics
Jinzhi Lei; Kerson Huang
2010-02-26
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^{\