National Library of Energy BETA

Sample records for ramseur related statistical

  1. Statistically significant relational data mining :

    SciTech Connect (OSTI)

    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.

  2. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    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

  3. Acceleration of Relational Index Structures Based on Statistics Hans-Peter Kriegel*

    E-Print Network [OSTI]

    Kriegel, Hans-Peter

    as a sequence SeqQ,I of index range scans. I/0 cost. The number of logical reads LR(s) associated with one indexAcceleration of Relational Index Structures Based on Statistics Hans-Peter Kriegel* , Peter Kunath, pfeifle, renz}@dbs.informatik.uni-muenchen.de Abstract Relational index structures, as for instance

  4. The relation between the statistics of open ocean currents and the temporal correlations of the wind

    E-Print Network [OSTI]

    Bel, Golan

    2013-01-01

    We study the statistics of wind-driven open ocean currents. Using the Ekman layer model for the integrated currents, we investigate, analytically and numerically, the relation between the wind distribution and its temporal correlations and the statistics of the open ocean currents. We find that temporally long-range correlated wind results in currents whose statistics is proportional to the wind-stress statistics. On the other hand, short-range correlated wind leads to Gaussian distributions of the current components, regardless of the stationary distribution of the winds, and therefore, to a Rayleigh distribution of the current amplitude if the wind stress is isotropic. An interesting result is the existence of an optimum in the amplitude of the ocean currents as a function of the correlation time of the wind stress. The results were validated using an oceanic general circulation model.

  5. Global Statistics

    E-Print Network [OSTI]

    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

  6. Statistical moments for classical and quantum dynamics: formalism and generalized uncertainty relations

    E-Print Network [OSTI]

    David Brizuela

    2014-11-03

    The classical and quantum evolution of a generic probability distribution is analyzed. To that end, a formalism based on the decomposition of the distribution in terms of its statistical moments is used, which makes explicit the differences between the classical and quantum dynamics. In particular, there are two different sources of quantum effects. Distributional effects, which are also present in the classical evolution of an extended distribution, are due to the fact that all moments can not be vanishing because of the Heisenberg uncertainty principle. In addition, the non-commutativity of the basic quantum operators add some terms to the quantum equations of motion that explicitly depend on the Planck constant and are not present in the classical setting. These are thus purely-quantum effects. Some particular Hamiltonians are analyzed that have very special properties regarding the evolution they generate in the classical and quantum sector. In addition, a large class of inequalities obeyed by high-order statistical moments, and in particular uncertainty relations that bound the information that is possible to obtain from a quantum system, are derived.

  7. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    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

  8. A STATISTICAL STUDY OF SPECTRAL HARDENING IN SOLAR FLARES AND RELATED SOLAR ENERGETIC PARTICLE EVENTS

    SciTech Connect (OSTI)

    Grayson, James A.; Krucker, Saem [Space Sciences Laboratory, University of California, Berkeley, CA 94720-7450 (United States); Lin, R. P., E-mail: jgrayson@berkeley.ed, E-mail: krucker@ssl.berkeley.ed, E-mail: rlin@ssl.berkeley.ed [Also at Department of Physics, University of California, Berkeley, CA 94720-7300 (United States)

    2009-12-20

    Using hard X-ray observations from the Reuven Ramaty High Energy Solar Spectroscopic Imager (RHESSI), we investigate the reliability of spectral hardening during solar flares as an indicator of related solar energetic particle (SEP) events at Earth. All RHESSI data are analyzed, from 2002 February through the end of Solar Cycle 23, thereby expanding upon recent work on a smaller sample of flares. Previous investigations have found very high success when associating soft-hard-harder (SHH) spectral behavior with energetic proton events, and confirmation of this link would suggest a correlation between electron acceleration in solar flares and SEPs seen in interplanetary space. In agreement with these past findings, we find that of 37 magnetically well-connected flares (W30-W90), 12 of 18 flares with SHH behavior produced SEP events and none of 19 flares without SHH behavior produced SEPs. This demonstrates a statistically significant dependence of SHH and SEP observations, a link that is unexplained in the standard scenario of SEP acceleration at the shock front of coronal mass ejections and encourages further investigation of the mechanisms which could be responsible.

  9. In Proceedings of IEEE International Conference on Data Mining, ICDM-2003. Statistical Relational Learning for Document Mining

    E-Print Network [OSTI]

    Pennock, David M.

    of features, both boolean and real- valued, automatically generated from a relational database. SLR falls, allowing information criteria native to the statistical model, for example logistic regression, to make into a model. Thus, the process of feature generation is decoupled from modeling, often being performed

  10. In Proceedings of IEEE International Conference on Data Mining, ICDM2003. Statistical Relational Learning for Document Mining

    E-Print Network [OSTI]

    Ungar, Lyle H.

    of features, both boolean and real­ valued, automatically generated from a relational database. SLR falls, allowing information criteria native to the statistical model, for example logistic regression, to make into a model. Thus, the process of feature generation is decoupled from modeling, often being performed

  11. Statistics for the Relative Detectability of Chemicals in Weak Gaseous Plumes in LWIR Hyperspectral Imagery

    SciTech Connect (OSTI)

    Metoyer, Candace N.; Walsh, Stephen J.; Tardiff, Mark F.; Chilton, Lawrence

    2008-10-30

    The detection and identification of weak gaseous plumes using thermal imaging data is complicated by many factors. These include variability due to atmosphere, ground and plume temperature, and background clutter. This paper presents an analysis of one formulation of the physics-based model that describes the at-sensor observed radiance. The motivating question for the analyses performed in this paper is as follows. Given a set of backgrounds, is there a way to predict the background over which the probability of detecting a given chemical will be the highest? Two statistics were developed to address this question. These statistics incorporate data from the long-wave infrared band to predict the background over which chemical detectability will be the highest. These statistics can be computed prior to data collection. As a preliminary exploration into the predictive ability of these statistics, analyses were performed on synthetic hyperspectral images. Each image contained one chemical (either carbon tetrachloride or ammonia) spread across six distinct background types. The statistics were used to generate predictions for the background ranks. Then, the predicted ranks were compared to the empirical ranks obtained from the analyses of the synthetic images. For the simplified images under consideration, the predicted and empirical ranks showed a promising amount of agreement. One statistic accurately predicted the best and worst background for detection in all of the images. Future work may include explorations of more complicated plume ingredients, background types, and noise structures.

  12. Relative Dating and Classification of Minerals and Rocks Based on Statistical Calculations Related to Their Potential Energy Index

    E-Print Network [OSTI]

    Labushev, Mikhail M

    2012-01-01

    Index of proportionality of atomic weights of chemical elements is proposed for determining the relative age of minerals and rocks. Their chemical analysis results serve to be initial data for calculations. For rocks of different composition the index is considered to be classification value as well. Crystal lattice energy change in minerals and their associations can be measured by the index value change, thus contributing to the solution of important practical problems. There was determined the effect of more rapid increase of potential energy of limestone with relatively low lattice energy as compared with the others.

  13. Tornadoes and related damage costs: statistical modeling with a semi-Markov approach

    E-Print Network [OSTI]

    Corini, Chiara; Petroni, Filippo; Prattico, Flavio; Manca, Raimondo

    2015-01-01

    We propose a statistical approach to tornadoes modeling for predicting and simulating occurrences of tornadoes and accumulated cost distributions over a time interval. This is achieved by modeling the tornadoes intensity, measured with the Fujita scale, as a stochastic process. Since the Fujita scale divides tornadoes intensity into six states, it is possible to model the tornadoes intensity by using Markov and semi-Markov models. We demonstrate that the semi-Markov approach is able to reproduce the duration effect that is detected in tornadoes occurrence. The superiority of the semi-Markov model as compared to the Markov chain model is also affirmed by means of a statistical test of hypothesis. As an application we compute the expected value and the variance of the costs generated by the tornadoes over a given time interval in a given area. he paper contributes to the literature by demonstrating that semi-Markov models represent an effective tool for physical analysis of tornadoes as well as for the estimati...

  14. Accident/Incident Statistics 2010 Number of Work/Study-Related Injuries

    E-Print Network [OSTI]

    by Department LWD = Lost Workday(s) Cause of Work/Study-Related Injuries Figure 1 summarizes the causes for all injury cases, 4 of them were due to inadequate protection of eyes. Department No. of Accidents Total LWD=0 0LWD3 LWD>3 ACPF 1 1 BCB 3 3 CBME 1 1 CHEM 2 2 CLS 1 1 CSO 1 1 DMSF 1 1 FMO 11 1 2 8 LANG 1 1 LIB

  15. The different varieties of the Suyama-Yamaguchi consistency relation and its violation as a signal of statistical inhomogeneity

    SciTech Connect (OSTI)

    Rodríguez, Yeinzon; Almeida, Juan P. Beltrán; Valenzuela-Toledo, César A. E-mail: juanpbeltran@uan.edu.co

    2013-04-01

    We present the different consistency relations that can be seen as variations of the well known Suyama-Yamaguchi (SY) consistency relation ?{sub NL}?((6/5)f{sub NL}){sup 2}, the latter involving the levels of non-gaussianity f{sub NL} and ?{sub NL} in the primordial curvature perturbation ?. It has been (implicitly) claimed that the following variation: ?{sub NL}(k{sub 1},k{sub 3})?((6/5)){sup 2}f{sub NL}(k{sub 1})f{sub NL}(k{sub 3}), which we call ''the fourth variety'', in the collapsed (for ?{sub NL}) and squeezed (for f{sub NL}) limits is always satisfied independently of any physics; however, the proof depends sensitively on the assumption of scale-invariance (expressing this way the fourth variety of the SY consistency relation as ?{sub NL}?((6/5)f{sub NL}){sup 2}) which only applies for cosmological models involving Lorentz-invariant scalar fields (at least at tree level), leaving room for a strong violation of this variety of the consistency relation when non-trivial degrees of freedom, for instance vector fields, are in charge of the generation of the primordial curvature perturbation. With this in mind as a motivation, we explicitly state, in the first part of this work, under which conditions the SY consistency relation has been claimed to hold in its different varieties (implicitly) presented in the literature since its inception back in 2008; as a result, we show for the first time that the variety ?{sub NL}(k{sub 1},k{sub 1})?((6/5)f{sub NL}(k{sub 1})){sup 2}, which we call ''the fifth variety'', is always satisfied even when there is strong scale-dependence and high levels of statistical anisotropy as long as statistical homogeneity holds: thus, an observed violation of this specific variety would prevent the comparison between theory and observation, shaking this way the foundations of cosmology as a science. In the second part, we concern about the existence of non-trivial degrees of freedom, concretely vector fields for which the levels of non-gaussianity have been calculated for very few models; among them, and by making use of the ?N formalism at tree level, we study a class of models that includes the vector curvaton scenario, vector inflation, and the hybrid inflation with coupled vector and scalar ''waterfall field'' where ? is generated at the end of inflation, finding that the fourth variety of the SY consistency relation is indeed strongly violated for some specific wavevector configurations while the fifth variety continues to be well satisfied. Finally, as a byproduct of our investigation, we draw attention to a quite recently demonstrated variety of the SY consistency relation: ?{sup iso}{sub NL}?((6/5)f{sup iso}{sub NL}){sup 2}, in scenarios where scalar and vector fields contribute to the generation of the primordial curvature perturbation; this variety of the SY consistency relation is satisfied although the isotropic pieces of the non-gaussianity parameters receive contributions from the vector fields. We discuss further implications for observational cosmology.

  16. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    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

  17. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    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

  18. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    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

  19. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    Department of Statistics STATISTICS COLLOQUIUM GOURAB MUKHERJEE Department of Statistics Stanford directions in statistical probability forecasting. Building on these parallels we present a frequentist

  20. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    Department of Statistics STATISTICS COLLOQUIUM INGRAM OLKIN Department of Statistics Stanford probability, statistics, combinatorics and graphs, numerical analysis and matrix theory. Special emphasis

  1. Visual Sample Plan (VSP) Statistical Software as Related to the CTBTO’s On-Site Inspection Procedure

    SciTech Connect (OSTI)

    Pulsipher, Trenton C.; Walsh, Stephen J.; Pulsipher, Brent A.; Milbrath, Brian D.

    2010-09-01

    In the event of a potential nuclear weapons test the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO) is commissioned to conduct an on-site investigation (OSI) of the suspected test site in an effort to find confirmatory evidence of the nuclear test. The OSI activities include collecting air, surface soil, and underground samples to search for indications of a nuclear weapons test - these indicators include radionuclides and radioactive isotopes Ar and Xe. This report investigates the capability of the Visual Sample Plan (VSP) software to contribute to the sampling activities of the CTBTO during an OSI. VSP is a statistical sampling design software, constructed under data quality objectives, which has been adapted for environmental remediation and contamination detection problems for the EPA, US Army, DoD and DHS among others. This report provides discussion of a number of VSP sample designs, which may be pertinent to the work undertaken during an OSI. Examples and descriptions of such designs include hot spot sampling, combined random and judgment sampling, multiple increment sampling, radiological transect surveying, and a brief description of other potentially applicable sampling methods. Further, this work highlights a potential need for the use of statistically based sample designs in OSI activities. The use of such designs may enable canvassing a sample area without full sampling, provide a measure of confidence that radionuclides are not present, and allow investigators to refocus resources in other areas of concern.

  2. Statistical Sciences

    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...

  3. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    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

  4. The KTOI Ecosystem Project Relational Database : a Report Prepared by Statistical Consulting Services for KTOI Describing the Key Components and Specifications of the KTOI Relational Database.

    SciTech Connect (OSTI)

    Shafii, Bahman [Statistical Consulting Services

    2009-09-24

    Data are the central focus of any research project. Their collection and analysis are crucial to meeting project goals, testing scientific hypotheses, and drawing relevant conclusions. Typical research projects often devote the majority of their resources to the collection, storage and analysis of data. Therefore, issues related to data quality should be of foremost concern. Data quality issues are even more important when conducting multifaceted studies involving several teams of researchers. Without the use of a standardized protocol, for example, independent data collection carried out by separate research efforts can lead to inconsistencies, confusion and errors throughout the larger project. A database management system can be utilized to help avoid all of the aforementioned problems. The centralization of data into a common relational unit, i.e. a relational database, shifts the responsibility for data quality and maintenance from multiple individuals to a single database manager, thus allowing data quality issues to be assessed and corrected in a timely manner. The database system also provides an easy mechanism for standardizing data components, such as variable names and values uniformly across all segments of a project. This is particularly an important issue when data are collected on a number of biological/physical response and explanatory variables from various locations and times. The database system can integrate all segments of a large study into one unit, while providing oversight and accessibility to the data collection process. The quality of all data collected is uniformly maintained and compatibility between research efforts ensured. While the physical database would exist in a central location, access will not be physically limited. Advanced database interfaces are created to operate over the internet utilizing a Web-based relational database, allowing project members to access their data from virtually anywhere. These interfaces provide users with the ability to upload, download, edit, and search data remotely, creating a dynamic system that is continually updated with the most recent information. At the same time, data are protected through user access restrictions, by implementing user profiles and password protected security. This accessibility could be set to any combination of read/write/edit abilities from an administrator capacity with full access to all data, to a highly restricted public access capability limited to general project information. Generation of customized summary reports and basic graphical routines could also be obtained through a Web-based interference. Using these types of features, users could produce summary tables, track trends of specified response variables over time or location, and compare results from various disciplines. Exploration of data in this manner can help users to better define and clarify their research goals and provide a means of integrating various aspects of a larger research project.

  5. 32. Statistics 1 32. STATISTICS

    E-Print Network [OSTI]

    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

  6. Boosted Statistical Mechanics

    E-Print Network [OSTI]

    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.

  7. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    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

  8. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    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

  9. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    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

  10. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    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

  11. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    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

  12. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    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

  13. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    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

  14. Weakly sufficient quantum statistics

    E-Print Network [OSTI]

    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.

  15. Term statistics Zipf's law text statistics

    E-Print Network [OSTI]

    Lu, Jianguo

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

  16. Rainbow statistics

    E-Print Network [OSTI]

    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.

  17. Statistics of football dynamics

    E-Print Network [OSTI]

    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.

  18. Introductory Statistics,

    E-Print Network [OSTI]

    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

  19. Statistics and the Sciences

    E-Print Network [OSTI]

    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

  20. Computation of generalized and exact dispersion relations for longitudinal plasma waves in nonextensive statistics and the effects of the nonextensivity on the oscillation modes and damps

    SciTech Connect (OSTI)

    Esfandyari-Kalejahi, A.; Ebrahimi, V. [Department of Physics, Faculty of Sciences, Azarbaijan Shahid Madani University, 53714-161 Tabriz (Iran, Islamic Republic of)] [Department of Physics, Faculty of Sciences, Azarbaijan Shahid Madani University, 53714-161 Tabriz (Iran, Islamic Republic of)

    2014-03-15

    We have derived generalized dispersion relations for longitudinal waves in collisionless thermal plasma using linear Vlasov-Poisson kinetic model and nonextensive distributions for electrons. The Maxwellian limit of the dispersion relations, where the q-nonextensive parameter tends to one, is calculated. The generalized dispersion relations are reduced to polynomials for some specific values of q. The well-known modes of oscillations such as the Langmuir and electron acoustic waves have been obtained by solving the dispersion relations. Some new modes of oscillation are also found. Finally, the dependence of the oscillation modes and damps on q is discussed.

  1. STATISTICS FOR GRADUATE STUDENTS ONLINE RESOURCES

    E-Print Network [OSTI]

    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

  2. Spike statistics

    E-Print Network [OSTI]

    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.

  3. Usage 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 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0 - 19PortalStatus UpdatesUsage Statistics Usage

  4. Generalizations of quantum statistics

    E-Print Network [OSTI]

    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.

  5. Computing and Introductory Statistics

    E-Print Network [OSTI]

    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

  6. Statistical Software - Overview

    E-Print Network [OSTI]

    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.

  7. Statistical Software - Overview

    E-Print Network [OSTI]

    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.

  8. Estimating Wireless Network Properties with Spatial Statistics and Models

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Estimating Wireless Network Properties with Spatial Statistics and Models Janne Riihij statistics and models for different estimation problems related to wireless networks. We focus specifically wireless networks. We provide a concise survey of existing techniques from the spatial statistics

  9. Statistics and Causal Inference PAUL W. HOLLAND*

    E-Print Network [OSTI]

    Fitelson, Branden

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

  10. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  11. Fractional quantum Hall effect and nonabelian statistics

    E-Print Network [OSTI]

    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.

  12. FISHERY STATISTICS UNITED STATES

    E-Print Network [OSTI]

    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

  13. Statistical assessment of Monte Carlo distributional tallies

    SciTech Connect (OSTI)

    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.

  14. Interpreting Accident Statistics

    E-Print Network [OSTI]

    Ferreira, Joseph Jr.

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

  15. EERE Statistics Archive

    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...

  16. Web Analytics and Statistics

    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...

  17. MATHMATICS & APPLIED STATISTICS

    E-Print Network [OSTI]

    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

  18. Statistics and Actuarial Science

    E-Print Network [OSTI]

    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

  19. Physics 630 Statistical Physics

    E-Print Network [OSTI]

    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

  20. Key China Energy Statistics 2011

    E-Print Network [OSTI]

    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

  1. Key China Energy Statistics 2012

    E-Print Network [OSTI]

    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

  2. Statistics and the Modern Student

    E-Print Network [OSTI]

    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 (

  3. Statistics and the Modern Student

    E-Print Network [OSTI]

    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 (

  4. Statistics 221 Statistical Computing Methods Instructor: Mark Irwin

    E-Print Network [OSTI]

    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

  5. 1 Statistics Statistics plays an important role throughout society, providing

    E-Print Network [OSTI]

    Vertes, Akos

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

  6. Statistics and Quantum Chaos

    E-Print Network [OSTI]

    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.

  7. Rotations and Statistics

    E-Print Network [OSTI]

    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.

  8. On statistics of molecular chaos

    E-Print Network [OSTI]

    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.

  9. Edinburgh Research Explorer Statistical Constraints

    E-Print Network [OSTI]

    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

  10. Statistics Statistique Canada Canada

    E-Print Network [OSTI]

    Canada Développement 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

  11. A Systematic Review of Statistical Power in Software Engineering Experiments

    E-Print Network [OSTI]

    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

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

    E-Print Network [OSTI]

    LaCasce, Joseph H.

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

  13. Spin, Statistics, and Reflections, II. Lorentz Invariance

    E-Print Network [OSTI]

    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.

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

    E-Print Network [OSTI]

    Fienberg, Stephen E.

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

  15. Computational Statistics Canonical Forest

    E-Print Network [OSTI]

    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

  16. Statistics in Excel

    E-Print Network [OSTI]

    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.

  17. Springer Series in Statistics Springer Series in Statistics

    E-Print Network [OSTI]

    Cappé, 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

  18. ARNAB MAITY Department of Statistics

    E-Print Network [OSTI]

    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

  19. FISHERY STATISTICS E UNITED STATES

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    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

  1. Quantum Chaos and Statistical Mechanics

    E-Print Network [OSTI]

    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.

  2. Generalized binomial distribution in photon statistics

    E-Print Network [OSTI]

    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.

  3. Statistics and Differential Geometry 18-466 Mathematical Statistics

    E-Print Network [OSTI]

    Le Ny, Jerome

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

  4. 55 Years of Harvard Statistics: Stories, Snapshots, and Statistics

    E-Print Network [OSTI]

    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

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

    E-Print Network [OSTI]

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

  6. MATHEMATICS AND STATISTICS

    E-Print Network [OSTI]

    Banaji,. Murad

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

  7. Thermodynamics for Fractal Statistics

    E-Print Network [OSTI]

    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.

  8. Statistical Methods for QTL

    E-Print Network [OSTI]

    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

  9. Fractal statistics, fractal index and fractons

    E-Print Network [OSTI]

    Wellington da Cruz

    2000-10-10

    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[\

  10. BS in STATISTICS: Applied Statistics and Analytics Emphasis (695234) MAP Sheet Department of Statistics

    E-Print Network [OSTI]

    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

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

    E-Print Network [OSTI]

    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

  12. Local asymptotic normality in quantum statistics

    E-Print Network [OSTI]

    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.

  13. 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

  14. Statistical simulation procedures 

    E-Print Network [OSTI]

    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...

  15. FY 2013 Statistical Table

    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

  16. Pseudochaos in Statistical Physics

    E-Print Network [OSTI]

    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.

  17. STAT 639V: Topics in Statistics Statistical Computing

    E-Print Network [OSTI]

    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

  18. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  19. International petroleum statistics report

    SciTech Connect (OSTI)

    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.

  20. ARM - Historical Operational 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

  1. 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

  2. Topics in Non-Parametric Statistics Arkadi Nemirovski1

    E-Print Network [OSTI]

    Nemirovski, Arkadi

    images and time-dependent signals. This is a mathematical area on the border between Statistics developed area of Non-parametric Statistics; we restrict ourselves with a number of selected topics related.2 The estimate . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 3.3 Quality of estimation

  3. A note on exclusion statistics parameter and Hausdorff dimension

    E-Print Network [OSTI]

    Wellington da Cruz

    1998-03-05

    We obtain for an anyon gas in the high temperature limit a relation between the exclusion statistics parameter $g$ and the Hausdorff dimension $h$, given by $g=h(2-h)$. The anyonic excitations are classified into equivalence classes labeled by Hausdorff dimension, $h$, and in that limit, the parameter $g$ give us the second virial coefficient for any statistics, $\

  4. Presented by Statistics at Scale

    E-Print Network [OSTI]

    .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

  5. PROGRAMME SPECIFICATION Programme title: Statistics

    E-Print Network [OSTI]

    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

  6. International petroleum statistics report

    SciTech Connect (OSTI)

    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.

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

    E-Print Network [OSTI]

    Dyer, Bill

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

  8. Information Theory and Statistical Physics - Lecture Notes

    E-Print Network [OSTI]

    Merhav, Neri

    2010-01-01

    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 ...

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

    E-Print Network [OSTI]

    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

  10. Fractons and Fractal Statistics

    E-Print Network [OSTI]

    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,\

  11. Statistics Online Computational Resource for Education

    E-Print Network [OSTI]

    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

  12. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  13. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  14. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  15. Thermodynamics Review and Relations

    E-Print Network [OSTI]

    Thermodynamics Review and Relations Review · Gas filled piston Motivation Thermodynamics the efficiency of steam engine. Only macroscopic continues states of matter are con- sidered. Thermodynamics of thermodynamics is essential since it easily to statistical mechanics. Definitions and Convention Signs The sign

  16. Finding Genes Related to Disease Using Statistical Learning

    E-Print Network [OSTI]

    Goldstein, Benjamin Alan

    2011-01-01

    Hauser. Risk alleles for multiple sclerosis identified by aHauser. Risk alleles for multiple sclerosis identified by agenes and risk of multiple sclerosis. American Journal of

  17. Constant Flux Relation in Non-equilibrium Statistical Mechanics

    E-Print Network [OSTI]

    Fominov, Yakov

    Mexico, USA) R. Rajesh (Institute of Mathematical Sciences, CIT Campus, Taramani, Chennai, India = LU . Energy injected into large eddies. Energy removed from small eddies at viscous scale. Transfer properties depend only on the local scale, k, and the energy dissipation rate, P. Dimensional analysis : E

  18. The moment problem and its relation to statistics 

    E-Print Network [OSTI]

    Wood, Sam Madeley

    1958-01-01

    and is sometimes denoted by x. The expected value of a function g(x) for a probability function f(x) would be E fv("1) = j a("~ f(") d , In connection with expected value we will establish the following properties: (a) E(ax) = aE(x) Proof: E(ax) = (ax) f..., . . . ) are identical, provided they exist, can be found in Cramer's text, ref (2), erne 1 al ethods o S a s. Theorem 2) If the rth absolute moment, r = 0, 1, 2, . . . of a dis- tribution function is finite, then the nth absolute moment where Oc n & r, and n = 0, 1...

  19. International petroleum statistics report

    SciTech Connect (OSTI)

    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.

  20. International petroleum statistics report

    SciTech Connect (OSTI)

    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.

  1. International petroleum statistics report

    SciTech Connect (OSTI)

    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.

  2. International petroleum statistics report

    SciTech Connect (OSTI)

    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.

  3. International petroleum statistics report

    SciTech Connect (OSTI)

    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.

  4. Statistics as a dynamical attractor

    E-Print Network [OSTI]

    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.

  5. Statistical mechanics of the cytoskeleton

    E-Print Network [OSTI]

    Wang, Shenshen

    2012-01-01

    mechanics . . . . . . . . . . . . . . . . . . . . . . 2.1bottom-up approach to cell mechanics. Nat. Phys. [6] Fabry,Wolynes, P. G. Statistical mechanics of a cat’s cradle. New

  6. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  7. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  8. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  9. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  10. Department: Statistics Course No: STAT 261Q

    E-Print Network [OSTI]

    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

  11. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  12. 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...

  13. Models for Millions Department of Statistics

    E-Print Network [OSTI]

    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

  14. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  15. MATHEMATICS & STATISTICS Program of Study

    E-Print Network [OSTI]

    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

  16. Statistical Theory Prof. Gesine Reinert

    E-Print Network [OSTI]

    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

  17. December 2000 A STATISTICAL TEST

    E-Print Network [OSTI]

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

  18. Practical Statistics for the LHC

    E-Print Network [OSTI]

    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.

  19. The Statistics of the Number of Neutron Collisions Prior to Absorption

    E-Print Network [OSTI]

    Pázsit, Imre

    , the energy transfer and the collision num- ber are related quantities, and therefore, the statistics ofThe Statistics of the Number of Neutron Collisions Prior to Absorption Sara A. Pozzi* Oak Ridge Accepted July 25, 2005 Abstract ­ We propose a simple analytical model to describe the statistics

  20. Sub-Poissonian statistics in order-to-chaos transition

    SciTech Connect (OSTI)

    Kryuchkyan, Gagik Yu. [Yerevan State University, Manookyan 1, Yerevan 375049, (Armenia); Institute for Physical Research, National Academy of Sciences, Ashtarak-2 378410, (Armenia); Manvelyan, Suren B. [Institute for Physical Research, National Academy of Sciences, Ashtarak-2 378410, (Armenia)

    2003-07-01

    We study the phenomena at the overlap of quantum chaos and nonclassical statistics for the time-dependent model of nonlinear oscillator. It is shown in the framework of Mandel Q parameter and Wigner function that the statistics of oscillatory excitation numbers is drastically changed in the order-to-chaos transition. The essential improvement of sub-Poissonian statistics in comparison with an analogous one for the standard model of driven anharmonic oscillator is observed for the regular operational regime. It is shown that in the chaotic regime, the system exhibits the range of sub-Poissonian and super-Poissonian statistics which alternate one to other depending on time intervals. Unusual dependence of the variance of oscillatory number on the external noise level for the chaotic dynamics is observed. The scaling invariance of the quantum statistics is demonstrated and its relation to dissipation and decoherence is studied.

  1. A Novel Spin-Statistics Theorem in (2 + 1)d Chern-Simons Gravity

    E-Print Network [OSTI]

    A. P. Balachandran; E. Batista; I. P. Costa e Silva; P. Teotonio-Sobrinho

    2001-03-03

    It has been known for some time that topological geons in quantum gravity may lead to a complete violation of the canonical spin-statistics relation : there may exist no connection between spin and statistics for a pair of geons. We present an algebraic description of quantum gravity in (2 + 1)d based on the first order formalism of general relativity and show that, although the usual spin-statistics theorem is not valid, statistics is completely determined by spin. Hence, a new spin-statistics theorem can be formulated.

  2. SHARE: Statistical Hadronization with Resonances

    E-Print Network [OSTI]

    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.

  3. Key China Energy Statistics 2012

    SciTech Connect (OSTI)

    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 Agency’s “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.

  4. Key China Energy Statistics 2011

    SciTech Connect (OSTI)

    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 Agency’s “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.

  5. Statistical mechanics based on fractional classical and quantum mechanics

    SciTech Connect (OSTI)

    Korichi, Z.; Meftah, M. T.

    2014-03-15

    The purpose of this work is to study some problems in statistical mechanics based on the fractional classical and quantum mechanics. At first stage we have presented the thermodynamical properties of the classical ideal gas and the system of N classical oscillators. In both cases, the Hamiltonian contains fractional exponents of the phase space (position and momentum). At the second stage, in the context of the fractional quantum mechanics, we have calculated the thermodynamical properties for the black body radiation, studied the Bose-Einstein statistics with the related problem of the condensation and the Fermi-Dirac statistics.

  6. Statistical exponential families: A digest with flash cards

    E-Print Network [OSTI]

    Nielsen, Frank

    2009-01-01

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

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

    E-Print Network [OSTI]

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

    2014-08-18

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

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

    E-Print Network [OSTI]

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

    2015-01-01

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

  9. Quantum particles from classical statistics

    E-Print Network [OSTI]

    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.

  10. STATISTICAL MECHANICS AND FIELD THEORY

    E-Print Network [OSTI]

    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

  11. Using excel to do statistics

    E-Print Network [OSTI]

    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.

  12. Intermediate wave-function statistics

    E-Print Network [OSTI]

    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.

  13. Anyonic statistics with continuous variables

    E-Print Network [OSTI]

    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.

  14. FISHERY STATISTICS QF THE UNITED STATES

    E-Print Network [OSTI]

    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

  15. UNIVERSITY OF OXFORD DEPARTMENT OF STATISTICS

    E-Print Network [OSTI]

    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

  16. FISHERY STATISTICS OF THE UNITED STATES

    E-Print Network [OSTI]

    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

  17. FISHERY STATISTICS OF THE UNITED STATES

    E-Print Network [OSTI]

    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

  18. FISHERY STATISTICS OF THE UNITED STATES

    E-Print Network [OSTI]

    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

  19. FISHERY STATISTICS OF THE UNITED STATES

    E-Print Network [OSTI]

    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

  20. FISHERY STATISTICS OF THE UNITED STATES

    E-Print Network [OSTI]

    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

  1. FISHERY STATISTICS OF THE UNITED STATES

    E-Print Network [OSTI]

    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

  2. FISHERY STATISTICS OF THE UNITED STATES

    E-Print Network [OSTI]

    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

  3. FISHERY STATISTICS OF THE UNITED STATES

    E-Print Network [OSTI]

    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

  4. FISHERY STATISTICS )F THE UNITED STATES

    E-Print Network [OSTI]

    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

  5. Accuracy and reliability of China's energy statistics

    E-Print Network [OSTI]

    Sinton, Jonathan E.

    2001-01-01

    the primary energy production and consumption statistics areProduction Hydroelectricity Primary Consumption J.E.Sinton, China’s Energy StatisticsStatistics Mtce Primary Consumption Coal Primary Consumption Total Energy Primary Production

  6. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  7. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  8. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  9. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  10. 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...

  11. APS Operational Statistics for FY 2008

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

    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...

  12. APS Operational Statistics for FY 2014

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

    Back to Main Statistics Page FY 2014 Year-to-Date Statistics 2014 Statistics Summary HTML or PDF FY 2014 Reliability Summary HTML or PDF FY 2014 Bar Chart of Downtime by System...

  13. APS Operational Statistics for FY 2005

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

    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...

  14. APS Operational Statistics for FY 2007

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

    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...

  15. APS Operational Statistics for FY 2012

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

    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...

  16. APS Operational Statistics for FY 2006

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

    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...

  17. APS Operational Statistics for FY 2010

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

    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...

  18. APS Operational Statistics for FY 2013

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

    Back to Main Statistics Page FY 2013 Year-to-Date Statistics 2013 Statistics Summary HTML or PDF FY 2013 Reliability Summary HTML or PDF FY 2013 Bar Chart of Downtime by System...

  19. STATISTICAL PHONE: 530.752.2361

    E-Print Network [OSTI]

    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

  20. 5.72 Statistical Mechanics, Spring 2008

    E-Print Network [OSTI]

    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 ...

  1. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Michael Woodroofe Department of Statistics, University of Michigan "Inference with a Restricted Parameter Space

  2. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  3. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  4. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  5. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  6. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  7. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  8. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  9. 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...

  10. STATISTICS IN MEDICINE Statist. Med. 18, 32213234 (1999)

    E-Print Network [OSTI]

    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 speciÿc example in mind. Consider the mapping of cancer mortality rates by county in the United

  11. STAT 639v: Topics in Statistics Statistical Computing

    E-Print Network [OSTI]

    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

  12. Statistical Mechanics of Black Holes

    E-Print Network [OSTI]

    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.

  13. Equilibrium Statistical-Thermal Models in High-Energy Physics

    E-Print Network [OSTI]

    Abdel Nasser Tawfik

    2014-10-25

    We review some recent highlights from the applications of statistical-thermal models to different experimental measurements and lattice QCD thermodynamics, that have been made during the last decade. We start with a short review of the historical milestones on the path of constructing statistical-thermal models for heavy-ion physics. We discovered that Heinz Koppe formulated in 1948 an almost complete recipe for the statistical-thermal models. In 1950, Enrico Fermi generalized this statistical approach, in which he started with a general cross-section formula and inserted into it simplifying assumptions about the matrix element of the interaction process that likely reflects many features of the high-energy reactions dominated by density in the phase space of final states. In 1964, Hagedorn systematically analysed the high-energy phenomena using all tools of statistical physics and introduced the concept of limiting temperature based on the statistical bootstrap model. It turns to be quite often that many-particle systems can be studied with the help of statistical-thermal methods. The analysis of yield multiplicities in high-energy collisions gives an overwhelming evidence for the chemical equilibrium in the final state. The strange particles might be an exception, as they are suppressed at lower beam energies. However, their relative yields fulfill statistical equilibrium, as well. We review the equilibrium statistical-thermal models for particle production, fluctuations and collective flow in heavy-ion experiments. We also review their reproduction of the lattice QCD thermodynamics at vanishing and finite chemical potential. During the last decade, five conditions have been suggested to describe the universal behavior of the chemical freeze out parameters.

  14. Noise, sign problems, and statistics

    E-Print Network [OSTI]

    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.

  15. Statistical mechanics of the vacuum

    E-Print Network [OSTI]

    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.

  16. QUANTUM MECHANICS WITHOUT STATISTICAL POSTULATES

    SciTech Connect (OSTI)

    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.

  17. Gauge Invariance and Fractional Statistics

    E-Print Network [OSTI]

    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.

  18. Statistics and Philosophy Mathematical models and reality

    E-Print Network [OSTI]

    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

  19. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  20. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  1. FISHERY STATISTICS OF THE UNITED STATES

    E-Print Network [OSTI]

    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

  2. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  3. FISHERY STATISTICS OF THE UNITED STATES

    E-Print Network [OSTI]

    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

  4. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  5. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  6. ROBUST ESTIMATION VIA GENERALIZED L-STATISTICS

    E-Print Network [OSTI]

    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

  7. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  8. FISHERY STATISTICS OF THE UNITED STATES

    E-Print Network [OSTI]

    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

  9. FISHERY STATISTICS OF THE UNITED STATES

    E-Print Network [OSTI]

    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

  10. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  11. Department: Statistics Course No: STAT 220Q

    E-Print Network [OSTI]

    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

  12. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  13. Department: Statistics Course No: STAT 110Q

    E-Print Network [OSTI]

    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

  14. FISHERY STATISTICS OF THE UNITED STATES

    E-Print Network [OSTI]

    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

  15. Department: Statistics Course No: STAT 201Q

    E-Print Network [OSTI]

    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

  16. FISHERY STATISTICS OF THE UNITED STATES

    E-Print Network [OSTI]

    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

  17. FISHERY STATISTICS OF THE UNITED STATES

    E-Print Network [OSTI]

    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

  18. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  19. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  20. Department: Statistics Course No: STAT 243Q

    E-Print Network [OSTI]

    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

  1. FISHERY STATISTICS F THE UNITED STATES

    E-Print Network [OSTI]

    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

  2. Department: Statistics Course No: STAT 100Q

    E-Print Network [OSTI]

    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

  3. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  4. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  5. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  6. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  7. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  8. Statistical Signal Processing Debasis Kundu 1

    E-Print Network [OSTI]

    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

  9. LIDIA REJTO Statistics Program, Department of FREC

    E-Print Network [OSTI]

    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

  10. A STATISTICAL NEURAL NETWORK FRAMEWORK FOR RISK MANAGEMENT PROCESS

    E-Print Network [OSTI]

    Basili, Victor R.

    A STATISTICAL NEURAL NETWORK FRAMEWORK FOR RISK MANAGEMENT PROCESS From the Proposal to its of Maryland, A.V. Williams Bldg. 115, College Park 20742, MD, USA basili@cs.umd.edu Keywords: Risk Management available formal risk management models and related frameworks by providing an independent mechanism

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

    E-Print Network [OSTI]

    Arhonditsis, George B.

    Eutrophication risk assessment in coastal embayments using simple statistical models G. Arhonditsis was the development of regression models relating the levels of chlorophyll a (Chl) with the concentration of the limiting nutrient­­usually nitrogen­­and the renewal rate of the systems. The method was applied

  12. Statistics Department Master List Ph.D. Dissertations

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    Statistics Department Master List Ph.D. Dissertations Dissertation # Dissertation Date Author Name Dissertation Title Reader 1 Reader 2 Reader 3 1 June 1, 1959 GREENWOOD, Joseph Arthur Distribution Theory of Multi-factor Experiments Based on Prior Knowledge and Relatively Little Data Dempster Pratt 8 June 1

  13. Comparisons of Statistical Modeling for Constructing Gene Regulatory

    E-Print Network [OSTI]

    Murphy, Kevin Patrick

    Comparisons of Statistical Modeling for Constructing Gene Regulatory Networks by Xiaohui Chen B. In this thesis, we compare a variety of existing regression models and apply them to construct regulatory network construction algorithm. Finally, we apply our models on a p53-related data set, NCI-60 data

  14. Building Statistical Models and Scoring with UDFs Carlos Ordonez

    E-Print Network [OSTI]

    Ordonez, Carlos

    77204, USA ABSTRACT Multidimensional statistical models are generally computed outside a relational DBMS are computed inside the DBMS in a single table scan exploiting SQL and User-Defined Functions (UDFs into the Teradata DBMS. Two major database processing tasks are discussed: building a model and scoring a data set

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

    SciTech Connect (OSTI)

    Not Available

    1993-03-31

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

  16. Industrial Relations

    E-Print Network [OSTI]

    Ulman, Lloyd

    1987-01-01

    S. Tannenbaum. Madison: Industrial 1955. The Rise of the N ai a Working Paper 8733 INDUSTRIAL RELATIONS L l o y d UlmanEconomic Theory and Doctrine INDUSTRIAL RELATIONS Two great

  17. Statistical performance of support vector machines

    E-Print Network [OSTI]

    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...

  18. Graduate Certificate in Applied Statistics Earn a graduate certificate in Applied Statistics

    E-Print Network [OSTI]

    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

  19. STATISTICAL MECHANICS PRACTICE EXAM 2005

    E-Print Network [OSTI]

    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

  20. Statistical mechanics of gravitating systems: An Overview

    E-Print Network [OSTI]

    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.

  1. Statistical behavior in deterministic quantum systems with few degrees of freedom

    SciTech Connect (OSTI)

    Jensen, R.V.; Shankar, R.

    1985-04-29

    Numerical studies of the dynamics of finite quantum spin chains are presented which show that quantum systems with few degrees of freedom (N = 7) can be described by equilibrium statistical mechanics. The success of the statistical description is seen to depend on the interplay between the initial state, the observable, and the Hamiltonian. This work clarifies the impact of integrability and conservation laws on statistical behavior. The relation to quantum chaos is also discussed.

  2. Parallel auto-correlative statistics with VTK.

    SciTech Connect (OSTI)

    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.

  3. Statistical density modification with non-crystallographic symmetry

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Mail Stop M888, Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)

    2002-12-01

    Statistical density modification can make use of NCS in a crystal and can include estimates of the deviations from perfect NCS. Statistical density modification is a technique for phase improvement through a calculation of the posterior probability of the phases, given experimental phase information and expectations about features of the electron-density map. The technique can take advantage of both estimates of electron density in the map and uncertainties or probability distributions for those estimates. For crystals with non-crystallographic symmetry (NCS), this allows the use of the expected similarity of electron density at NCS-related points without requiring an implicit assumption that these regions are identical.

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

    DOE Patents [OSTI]

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

    2010-07-13

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

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

    DOE Patents [OSTI]

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

    2011-01-25

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

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

    DOE Patents [OSTI]

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

    2011-01-04

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

  7. Statistical Models for Globular Cluster Luminosity Distribution

    E-Print Network [OSTI]

    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

  8. Statistics on pattern-avoiding permutations

    E-Print Network [OSTI]

    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 ...

  9. Statistics Department University of California, Berkeley

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    John Rice Statistics Department University of California, Berkeley Joint work with Peter Bickel problem Barycentric corrected arrival times 0 Energy, no matter how rich the dictionary from which you adaptively compose a detection statistic, no matter how

  10. |Research Focus Statistical decision theory and evolution

    E-Print Network [OSTI]

    Maloney, Laurence T.

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

  11. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  12. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  13. A Carto Dashboard for Distributed Statistical Data

    E-Print Network [OSTI]

    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

  14. Seismic Attribute Analysis Using Higher Order Statistics 

    E-Print Network [OSTI]

    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...

  15. Transportation Statistics Annual Report 1997

    SciTech Connect (OSTI)

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

  16. 2008 world direct reduction statistics

    SciTech Connect (OSTI)

    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.

  17. 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

  18. How we know that photons are bosons: experimental tests of spin-statistics for photons

    E-Print Network [OSTI]

    Pines, Alexander

    How we know that photons are bosons: experimental tests of spin-statistics for photons D. DeMille,1 that shed light on possible small violations of the spin-statistics relation for photons. Particular emphasis is given to our recent experimental search for non-symmetric photon states, using atomic two-photon

  19. A MT System from Turkmen to Turkish Employing Finite State and Statistical Methods

    E-Print Network [OSTI]

    Yanikoglu, Berrin

    between close language pairs can be relatively easier and can still benefit from simple(r) paradigms in MT with a disambiguation post-processing stage based on statistical language models. The very productive inflectionalA MT System from Turkmen to Turkish Employing Finite State and Statistical Methods A. Cüneyd TANTU

  20. Purdue VIGRE REU in Mathematics and Statistics

    E-Print Network [OSTI]

    Research Experience for Undergraduates. at the. Departments of Mathematics and Statistics Purdue Univeristy, West Lafayette, Indiana Summer 2003.

  1. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  2. STORM: A STatistical Object Representation Model

    SciTech Connect (OSTI)

    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.

  3. Quantrum chaos and statistical nuclear physics

    SciTech Connect (OSTI)

    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.

  4. TIGHT BOUNDS ON EXPECTED ORDER STATISTICS

    E-Print Network [OSTI]

    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

  5. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  6. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  7. Department: Statistics Course No: STAT 242Q

    E-Print Network [OSTI]

    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

  8. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  9. June 1, 2015 DEPARTMENT OF MATHEMATICS, STATISTICS

    E-Print Network [OSTI]

    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

  10. Department: Statistics Course number: STAT 202W

    E-Print Network [OSTI]

    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

  11. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  12. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  13. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  14. Department: Statistics Course No: STAT 272Q

    E-Print Network [OSTI]

    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

  15. WhartonDepartment of Statistics Data Mining

    E-Print Network [OSTI]

    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

  16. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  17. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  18. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  19. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  20. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  1. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  2. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  3. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  4. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  5. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  6. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    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

  7. CAPES 2013 PROBABILITY and STATISTICS Ttulo ISSN

    E-Print Network [OSTI]

    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

  8. Tutorials on AstroStatistics and R

    E-Print Network [OSTI]

    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

  9. Unsupervised Segmentation for Statistical Machine Translation

    E-Print Network [OSTI]

    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

  10. EPSRC CASE Studentship Statistical Modelling of Fingerprints

    E-Print Network [OSTI]

    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

  11. General Database Statistics Using Entropy Maximization

    E-Print Network [OSTI]

    Suciu, Dan

    (z) Estimate: q(y) :- R(x, y), S(y, z) Fig. 1. An example of a Statistical Program and a query, q whoseGeneral Database Statistics Using Entropy Maximization Raghav Kaushik1 , Christopher R´e2 , and Dan engines. The key object of our study is a statistical program, which is a set of pairs (v, d), where v

  12. Purdue Agriculture Annual Statistical Report

    E-Print Network [OSTI]

    effectively address questions related to Food Security, Environmental Security, Health Security, Energy Security, and Economic Security in the 21st Century. Our researchers are working to increase

  13. Lectures on probability and statistics

    SciTech Connect (OSTI)

    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.

  14. CEAL Statistics 2009-2010: an Overview

    E-Print Network [OSTI]

    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...

  15. Statistical anisotropy and cosmological quantum relaxation

    E-Print Network [OSTI]

    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.

  16. Statistics for Teachers: STAT 4/6070 The UGA Statistics Department has been

    E-Print Network [OSTI]

    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

  17. Statistics Page 235Sonoma State University 2015-2016 Catalog DEPARTMENT OF MATHEMATICS AND STATISTICS

    E-Print Network [OSTI]

    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

  18. Branden Fitelson Remarks on the Philosophy of Statistics 0 SOME REMARKS ON THE PHILOSOPHY OF STATISTICS

    E-Print Network [OSTI]

    Fitelson, Branden

    Branden Fitelson Remarks on the Philosophy of Statistics 0 SOME REMARKS ON THE PHILOSOPHY OF STATISTICS BRANDEN FITELSON Department of Philosophy San Jos´e State University branden@fitelson.org http of Statistics 1 Overview of Presentation · What are the ends of statistical experiment, analysis

  19. 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

    E-Print Network [OSTI]

    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

  20. Jacobi Fields on Statistical Manifolds of Negative Curvature

    E-Print Network [OSTI]

    Carlo Cafaro; S. A. Ali

    2007-02-14

    Two entropic dynamical models are considered. The geometric structure of the statistical manifolds underlying these models is studied. It is found that in both cases, the resulting metric manifolds are negatively curved. Moreover, the geodesics on each manifold are described by hyperbolic trajectories. A detailed analysis based on the Jacobi equation for geodesic spread is used to show that the hyperbolicity of the manifolds leads to chaotic exponential instability. A comparison between the two models leads to a relation among statistical curvature, stability of geodesics and relative entropy-like quantities. Finally, the Jacobi vector field intensity and the entropy-like quantity are suggested as possible indicators of chaoticity in the ED models due to their similarity to the conventional chaos indicators based on the Riemannian geometric approach and the Zurek-Paz criterion of linear entropy growth, respectively.

  1. 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...

  2. 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...

  3. Black Hole Statistical Mechanics and The Angular Velocity Ensemble

    E-Print Network [OSTI]

    Mitchell Thomson; Charles C. Dyer

    2012-03-29

    An new ensemble - the angular velocity ensemble - is derived using Jaynes' method of maximising entropy subject to prior information constraints. The relevance of the ensemble to black holes is motivated by a discussion of external parameters in statistical mechanics and their absence from the Hamiltonian of general relativity. It is shown how this leads to difficulty in deriving entropy as a function of state and recovering the first law of thermodynamics from the microcanonical and canonical ensembles applied to black holes.

  4. Financial statistics of selected investor-owned electric utilities, 1989

    SciTech Connect (OSTI)

    Not Available

    1991-01-01

    The Financial Statistics of Selected Investor-Owned Electric Utilities publication presents summary and detailed financial accounting data on the investor-owned electric utilities. The objective of the publication is to provide the Federal and State governments, industry, and the general public with current and historical data that can be used for policymaking and decisionmaking purposes related to investor-owned electric utility issues.

  5. VOStat: A Statistical Web Service for Astronomers

    E-Print Network [OSTI]

    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...

  6. Statistics for characterizing data on the periphery

    SciTech Connect (OSTI)

    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.

  7. Nonextensive statistical effects in nuclear physics problems

    E-Print Network [OSTI]

    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.

  8. CEAL Statistics 2008-2009: an Overview

    E-Print Network [OSTI]

    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 ...

  9. Statistical Mechanics and Quantum Cosmology

    E-Print Network [OSTI]

    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.

  10. Statistics for Industry Groups and Industries, 2003

    SciTech Connect (OSTI)

    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).

  11. Statistical methods for nuclear material management

    SciTech Connect (OSTI)

    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.

  12. Accuracy and reliability of China's energy statistics

    E-Print Network [OSTI]

    Sinton, Jonathan E.

    2001-01-01

    China’s Energy Statistics Mtce Primary Consumption Coal Primary Consumption Total Energy Primary Production Primary Production Natural Gas Oil Primary Consumption

  13. 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...

  14. PHYSICS 775 Statistical Physics Lecturer: Maarten Golterman

    E-Print Network [OSTI]

    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

  15. Using a calculator to do statistics

    E-Print Network [OSTI]

    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.

  16. Bridging the Gap Between Tools for Learning and for Doing Statistics

    E-Print Network [OSTI]

    McNamara, Amelia Ahlers

    2015-01-01

    State of statistics knowledge . . . . . . .learning statistics . . . . . . . . . . . . . . . . The gaplearning and for doing statistics . . History of tools for

  17. November 2011 MSc and Diploma in Applied Statistics 2011

    E-Print Network [OSTI]

    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

  18. General Relativity

    E-Print Network [OSTI]

    Canuto, V

    2015-01-01

    This is an English translation of the Italian version of an encyclopedia chapter that appeared in the Italian Encyclopedia of the Physical Sciences, edited by Bruno Bertotti (1994). Following requests from colleagues we have decided to make it available to a more general readership. We present the motivation for constructing General Relativity, provide a short discussion of tensor algebra, and follow the set up of Einstein equations. We discuss briefly the initial value problem, the linear approximation and how should non gravitational physics be described in curved spacetime.

  19. Related Links

    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 of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid youOxygen Generation |Publications TheGashome / Related Links Institute

  20. Statistics beyond Physics -Misused in Public ?

    E-Print Network [OSTI]

    Kobe, Sigismund

    and oranges (vergleiche Äpfel mit Birnen) #12;2.1 Local criterium Example: 1 murder in Pirna statistically smeared over Germany PIR Result: ,,0.002 murder" attributed to Saarbrücken, 0.05 to Berlin, .... 0;3. Confidence region ... of data points Example: from PKS (German Police Crime Statistics): The number of murder

  1. GIS, SPATIAL STATISTICAL GRAPHICS, AND FOREST HEALTH.

    E-Print Network [OSTI]

    Symanzik, Jürgen

    1 GIS, SPATIAL STATISTICAL GRAPHICS, AND FOREST HEALTH. James J. Majure, Noel Cressie, Dianne Cook, and Jürgen 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

  2. DEPARTMENT OF STATISTICS North Carolina State University

    E-Print Network [OSTI]

    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

  3. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    - 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

  4. Statistical Seismology DAVID VERE-JONES,1

    E-Print Network [OSTI]

    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

  5. Statistics W4240: Data Mining Columbia University

    E-Print Network [OSTI]

    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

  6. Statistical data mining Finn Arup Nielsen

    E-Print Network [OSTI]

    Nielsen, Finn Årup

    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

  7. Department of Mathematics MAL 522 (Statistical Inference)

    E-Print Network [OSTI]

    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

  8. Conditional statistical inference and quantification of relevance

    E-Print Network [OSTI]

    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

  9. Multivariate Statistical Tests for Comparing Classification Algorithms

    E-Print Network [OSTI]

    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

  10. STATISTICAL STUDIES OF FILAMENT DISAPPEARANCES AND CMES

    E-Print Network [OSTI]

    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

  11. Towards a Statistically Semantic Web Gerhard Weikum

    E-Print Network [OSTI]

    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

  12. Computational Aspects in Statistical Signal Processing

    E-Print Network [OSTI]

    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

  13. Factored Language Models for Statistical Machine Translation

    E-Print Network [OSTI]

    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

  14. Introduction to Statistical Linear Models Spring 2005

    E-Print Network [OSTI]

    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

  15. : ( Statistical computing) : (Pi-Wen Tsai)

    E-Print Network [OSTI]

    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

  16. Scalable Statistical Bug Isolation Computer Sciences Department

    E-Print Network [OSTI]

    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

  17. Fractal Statistics and Quantum Black Hole Entropy

    E-Print Network [OSTI]

    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.

  18. Haykin, Principe, Sejnowski, and McWhirter: New Directions in Statistical Signal Processing: From Systems to Brain 2005/03/04 21:55 11 A Variational Principle for Graphical Models

    E-Print Network [OSTI]

    Jordan, Michael I.

    statistical modeling. In statistical signal processing-- as well as in related fields such as communication theory, control theory and bioinformatics--statistical models have long been formulated in termsHaykin, Principe, Sejnowski, and McWhirter: New Directions in Statistical Signal Processing: From

  19. Degenerate U-and V -statistics under ergodicity: Asymptotics, bootstrap and applications in statistics

    E-Print Network [OSTI]

    Degenerate U- and V -statistics under ergodicity: Asymptotics, bootstrap and applications in statistics Anne Leucht Universit¨at Hamburg Fachbereich Mathematik, SPST Bundesstraße 55 D-20146 Hamburg.neumann@uni-jena.de Abstract We derive the asymptotic distributions of degenerate U- and V -statistics of stationary

  20. Graduate Programs in Mathematics, Statistics, and Physics The Department of Mathematics, Statistics, and Physics at

    E-Print Network [OSTI]

    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

  1. Principles of Statistical Inference Department of Statistics, University of Toronto, Canada

    E-Print Network [OSTI]

    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

  2. Statistical scaling of geometric characteristics in stochastically generated pore microstructures

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Hyman, Jeffrey D.; Guadagnini, Alberto; Winter, C. Larrabee

    2015-05-21

    In this study, we analyze the statistical scaling of structural attributes of virtual porous microstructures that are stochastically generated by thresholding Gaussian random fields. Characterization of the extent at which randomly generated pore spaces can be considered as representative of a particular rock sample depends on the metrics employed to compare the virtual sample against its physical counterpart. Typically, comparisons against features and/patterns of geometric observables, e.g., porosity and specific surface area, flow-related macroscopic parameters, e.g., permeability, or autocorrelation functions are used to assess the representativeness of a virtual sample, and thereby the quality of the generation method. Here, wemore »rely on manifestations of statistical scaling of geometric observables which were recently observed in real millimeter scale rock samples [13] as additional relevant metrics by which to characterize a virtual sample. We explore the statistical scaling of two geometric observables, namely porosity (?) and specific surface area (SSA), of porous microstructures generated using the method of Smolarkiewicz and Winter [42] and Hyman and Winter [22]. Our results suggest that the method can produce virtual pore space samples displaying the symptoms of statistical scaling observed in real rock samples. Order q sample structure functions (statistical moments of absolute increments) of ? and SSA scale as a power of the separation distance (lag) over a range of lags, and extended self-similarity (linear relationship between log structure functions of successive orders) appears to be an intrinsic property of the generated media. The width of the range of lags where power-law scaling is observed and the Hurst coefficient associated with the variables we consider can be controlled by the generation parameters of the method.« less

  3. Statistical Methods for Thermonuclear Reaction Rates and Nucleosynthesis Simulations

    E-Print Network [OSTI]

    Iliadis, Christian; Coc, Alain; Timmes, F X; Champagne, Art E

    2014-01-01

    Rigorous statistical methods for estimating thermonuclear reaction rates and nucleosynthesis are becoming increasingly established in nuclear astrophysics. The main challenge being faced is that experimental reaction rates are highly complex quantities derived from a multitude of different measured nuclear parameters (e.g., astrophysical S-factors, resonance energies and strengths, particle and gamma-ray partial widths). We discuss the application of the Monte Carlo method to two distinct, but related, questions. First, given a set of measured nuclear parameters, how can one best estimate the resulting thermonuclear reaction rates and associated uncertainties? Second, given a set of appropriate reaction rates, how can one best estimate the abundances from nucleosynthesis (i.e., reaction network) calculations? The techniques described here provide probability density functions that can be used to derive statistically meaningful reaction rates and final abundances for any desired coverage probability. Examples ...

  4. Topology for statistical modeling of petascale data.

    SciTech Connect (OSTI)

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

    2011-07-01

    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.

  5. arXiv:condmat/0002194 Geometry, Statistics and Asymptotics of Quantum Pumps

    E-Print Network [OSTI]

    Voloch, Felipe

    arXiv:cond­mat/0002194 v2 31 May 2000 Geometry, Statistics and Asymptotics of Quantum Pumps J. E¨uttiker et. al. (BPT) relating the adiabatically pumped current to the S matrix and its (time) derivatives. We relate the charge in BPT to Berry's phase and the corresponding Brouwer pumping formula

  6. Statistics of particle time-temperature histories.

    SciTech Connect (OSTI)

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

    2014-10-01

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

  7. Quantum Statistical Processes in the Early Universe

    E-Print Network [OSTI]

    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.

  8. Time as a parameter of statistical ensemble

    E-Print Network [OSTI]

    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.

  9. Spin - or, actually: Spin and Quantum Statistics

    E-Print Network [OSTI]

    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.

  10. Statistical theory of turbulent incompressible multimaterial flow

    SciTech Connect (OSTI)

    Kashiwa, B.

    1987-10-01

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

  11. Labor Relations

    Broader source: Energy.gov [DOE]

    Addressing Poor Performance What Happens if an Employee’s Performance is Below the Meets Expectations (ME) level? Any time during the appraisal period an employee demonstrates that he/she is performing below the ME level in at least one critical element, the Rating Official should contact his/her Human Resources Office for guidance and: •If performance is at the Needs Improvement (NI) level; issue the employee a Performance Assistance Plan (PAP); or •If performance is at the Fails to Meet Expectations (FME) level; issue the employee a Performance Improvement Plan (PIP). Department of Energy Headquarters and The National Treasury Employees Union (NTEU) Collective Bargaining Agreement The National Treasury Employees Union (NTEU) is the exclusive representative of bargaining unit employees at the Department of Energy Headquarters offices in the Washington DC metropolitan area. The terms and conditions of this agreement have been negotiated by DOE and NTEU, and prescribe their respective rights and obligations in matters related to conditions of employment. Headquarters 1187 Request For Payroll Deductions For Labor Organization Dues The Request for Payroll Deduction for Labor Organization Dues (SF-1187) permits eligible employees, who are members of the National Treasury Employees Union (NTEU), to authorize voluntary allotments from their compensation. Headquarters 1188 Cancellation Of Payroll Deductions For Labor Organization Dues The Cancellation of Payroll Deductions for Labor Organizations Dues (SF-1188) permits eligible employees, who are members of the National Treasury Employees Union (NTEU), to cancel dues allotments. The National Treasury Employees Union, Collective Bargaining Agreement, Article 9 – Dues Withholding This article is for the purpose of permitting eligible employees, who are members of the National Treasury Employees Union (NTEU), to authorize voluntary allotments from their compensation.

  12. Interdisciplinary Mathematics/Statistics Actuarial Science Sample ...

    E-Print Network [OSTI]

    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 ...

  13. Statistical analysis of correlated fossil fuel securities

    E-Print Network [OSTI]

    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 ...

  14. 15.075 Applied Statistics, Spring 2003

    E-Print Network [OSTI]

    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 ...

  15. Statistical criteria for characterizing irradiance time series.

    SciTech Connect (OSTI)

    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.

  16. Statistical Sciences Group, Los Alamos National Laboratory,

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    Luke Bornn CCS-6, Statistical Sciences Group, Los Alamos National Laboratory, MS F600, Los Alamos Institute, Los Alamos National Laboratory, MS T006, Los Alamos, NM 87545 Structural Health Monitoring

  17. Statistical mechanics of a cat's cradle

    E-Print Network [OSTI]

    Shen, Tongye; Wolynes, Peter G

    2006-01-01

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

  18. Mathematics and Statistics Handbook College of Engineering

    E-Print Network [OSTI]

    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

  19. I/O Statistics Last 30 Days

    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...

  20. Introduction to Statistical Issues in Particle Physics

    E-Print Network [OSTI]

    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.

  1. Multivariate Statistical Analysis of Assembly Tolerance Specifications

    E-Print Network [OSTI]

    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

  2. Understanding Manufacturing Energy Use Through Statistical Analysis 

    E-Print Network [OSTI]

    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...

  3. Model Risk in Finance Department of Statistics

    E-Print Network [OSTI]

    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

  4. APS Operational Statistics for FY 2011

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

    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)...

  5. Twisted Statistics in kappa-Minkowski Spacetime

    E-Print Network [OSTI]

    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.

  6. Statistical Mechanics of Two-dimensional Foams

    E-Print Network [OSTI]

    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.

  7. FISHERY STATISTICS I OF THE UNITED STATESmmmMM

    E-Print Network [OSTI]

    ^^ 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

  8. On Characterization of Two-Sample U-Statistics

    E-Print Network [OSTI]

    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

  9. STATISTICS MAJOR REQUIREMENTS: ADVISEMENT FORM BACHELOR OF SCIENCE DEGREE

    E-Print Network [OSTI]

    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

  10. Statistical Mechanics of Semiflexible Polymers: Theory and Experiment

    E-Print Network [OSTI]

    Erwin Frey; Klaus Kroy; Jan Wilhelm; Erich Sackmann

    1998-08-03

    We review the physical properties of macromolecular networks, consisting of semiflexible polymers such as actin. We start by giving a theoretical analysis of the conformational statistics and mechanical response of single filaments. Experimentally relevant quantities such as the end-to-end distribution function and the force-extension relation are discussed. The results are used to analyze the elastic modulus of an entangled solution of such objects. We also discuss the short time and long time (terminal regime) dynamics and compare our results with recent dynamic light scattering and viscoelastic measurements. Furthermore, we analyze the elasticity transition in stochastic models of crosslinked networks.

  11. Statistical thermodynamics of strain hardening in polycrystalline solids

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Langer, James S.

    2015-09-18

    This paper starts with a systematic rederivation of the statistical thermodynamic equations of motion for dislocation-mediated plasticity proposed in 2010 by Langer, Bouchbinder, and Lookman. The paper then uses that theory to explain the anomalous rate-hardening behavior reported in 1988 by Follansbee and Kocks and to explore the relation between hardening rate and grain size reported in 1995 by Meyers et al. A central theme is the need for physics-based, nonequilibrium analyses in developing predictive theories of the strength of polycrystalline materials.

  12. Financial statistics of major US publicly owned electric utilities 1993

    SciTech Connect (OSTI)

    Not Available

    1995-02-01

    The 1993 edition of the Financial Statistics of Major U.S. Publicly Owned Electric Utilities publication presents five years (1989 to 1993) of summary financial data and current year detailed financial data on the major publicly owned electric utilities. The objective of the publication is to provide Federal and State governments, industry, and the general public with current and historical data that can be used for policymaking and decision making purposes related to publicly owned electric utility issues. Generator and nongenerator summaries are presented in this publication. The primary source of publicly owned financial data is the Form EIA-412, the Annual Report of Public Electric Utilities, filed on a fiscal basis.

  13. The Spin-Statistics Connection in Quantum Gravity

    E-Print Network [OSTI]

    A. P. Balachandran; E. Batista; I. P. Costa e Silva; P. Teotonio-Sobrinho

    1999-06-23

    It is well-known that is spite of sharing some properties with conventional particles, topological geons in general violate the spin-statistics theorem. On the other hand, it is generally believed that in quantum gravity theories allowing for topology change, using pair creation and annihilation of geons, one should be able to recover this theorem. In this paper, we take an alternative route, and use an algebraic formalism developed in previous work. We give a description of topological geons where an algebra of "observables" is identified and quantized. Different irreducible representations of this algebra correspond to different kinds of geons, and are labeled by a non-abelian "charge" and "magnetic flux". We then find that the usual spin-statistics theorem is indeed violated, but a new spin-statistics relation arises, when we assume that the fluxes are superselected. This assumption can be proved if all observables are local, as is generally the case in physical theories. Finally, we also show how our approach fits into conventional formulations of quantum gravity.

  14. U.S. Energy-Related Carbon Dioxide Emissions, 2013

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Energy-Related Carbon Dioxide Emissions, 2013 October 2014 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 October 2014 U.S. Energy...

  15. Learning Bayesian Networks for Relational Databases

    E-Print Network [OSTI]

    Glymour, Clark

    Learning Bayesian Networks for Relational Databases Oliver Schulte School of Computing Science > 3.0. Multi-billion dollar industry, $15+ bill in 2006. IBM, Microsoft, Oracle, SAP. Much interest. Defining model selection scores. Computing sufficient statistics. Work in Progress. Anomaly Detection

  16. OpenIntro Statistics: an Open-source Textbook

    E-Print Network [OSTI]

    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

  17. 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...

  18. Statistical Design, Analysis and Graphics for the Guadalupe

    E-Print Network [OSTI]

    Statistical Design, Analysis and Graphics for the Guadalupe River Assessment Technical Memoranda Science Center (2013). Statistical Design, Analysis and Graphics for the Guadalupe River Assessment...................................................................................................... 7 Study Design

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

    E-Print Network [OSTI]

    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

  20. 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...

  1. 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...

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

    E-Print Network [OSTI]

    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://

  3. Independence of some polynomial statistics and of the sample mean

    E-Print Network [OSTI]

    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

  4. 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...

  5. Statistical density modification using local pattern matching

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Mail Stop M888, Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)

    2003-10-01

    Statistical density modification can make use of local patterns of density found in protein structures to improve crystallographic phases. A method for improving crystallographic phases is presented that is based on the preferential occurrence of certain local patterns of electron density in macromolecular electron-density maps. The method focuses on the relationship between the value of electron density at a point in the map and the pattern of density surrounding this point. Patterns of density that can be superimposed by rotation about the central point are considered equivalent. Standard templates are created from experimental or model electron-density maps by clustering and averaging local patterns of electron density. The clustering is based on correlation coefficients after rotation to maximize the correlation. Experimental or model maps are also used to create histograms relating the value of electron density at the central point to the correlation coefficient of the density surrounding this point with each member of the set of standard patterns. These histograms are then used to estimate the electron density at each point in a new experimental electron-density map using the pattern of electron density at points surrounding that point and the correlation coefficient of this density to each of the set of standard templates, again after rotation to maximize the correlation. The method is strengthened by excluding any information from the point in question from both the templates and the local pattern of density in the calculation. A function based on the origin of the Patterson function is used to remove information about the electron density at the point in question from nearby electron density. This allows an estimation of the electron density at each point in a map, using only information from other points in the process. The resulting estimates of electron density are shown to have errors that are nearly independent of the errors in the original map using model data and templates calculated at a resolution of 2.6 Å. Owing to this independence of errors, information from the new map can be combined in a simple fashion with information from the original map to create an improved map. An iterative phase-improvement process using this approach and other applications of the image-reconstruction method are described and applied to experimental data at resolutions ranging from 2.4 to 2.8 Å.

  6. The Baryonic Tully Fisher Relation

    E-Print Network [OSTI]

    Sebastian Gurovich; Stacy S. McGaugh; Ken C. Freeman; Helmut Jerjen; Lister Staveley-Smith; W. J. G. De Blok

    2004-11-17

    We validate the baryonic Tully Fisher (BTF) relation by exploring the Tully Fish er (TF) and BTF properties of optically and HI-selected disk galaxies. The data includes galaxies from: Sakai et al. (2000) calibrator sample; McGaugh et al. (2000: MC2000) I-band sample; and 18 newly acquired HI-selected field dwarf galaxies observed with the ANU 2.3m telescope and the ATNF Parkes telescope from Gurovich's thesis sample (2005). As in MC2000, we re-cast the TF and BTF relations as relationships between baryo n mass and W_{20}. First we report some numerical errors in MC2000. Then, we c alculate weighted bi-variate linear fits to the data, and finally we compare the fits of the intrinsically fainter dwarfs with the brighter galaxies of Sakai et al. (2000). With regards to the local calibrator disk galaxies of Sakai et al. (2000), our results suggest that the BTF relation is indeed tighter than the T F relation and that the slopes of the BTF relations are statistically flatter th an the equivalent TF relations. Further, for the fainter galaxies which include the I-band MCG2000 and HI-selected galaxies of Gurovich's thesis sample, we calc ulate a break from a simple power law model because of what appears to be real c osmic scatter. Not withstanding this point, the BTF models are marginally better models than the equivalent TF ones with slightly smaller reduced chi^2.

  7. Semi-Poisson statistics in quantum chaos

    E-Print Network [OSTI]

    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.

  8. Spin-Statistics Violations in Superstring Theory

    E-Print Network [OSTI]

    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.

  9. Big Entropy Fluctuations in Statistical Equilibrium: The Macroscopic Kinetics

    E-Print Network [OSTI]

    B. V. Chirikov; O. V. Zhirov

    2000-10-31

    Large entropy fluctuations in an equilibrium steady state of classical mechanics were studied in extensive numerical experiments on a simple 2--freedom strongly chaotic Hamiltonian model described by the modified Arnold cat map. The rise and fall of a large separated fluctuation was shown to be described by the (regular and stable) "macroscopic" kinetics both fast (ballistic) and slow (diffusive). We abandoned a vague problem of "appropriate" initial conditions by observing (in a long run)spontaneous birth and death of arbitrarily big fluctuations for any initial state of our dynamical model. Statistics of the infinite chain of fluctuations, reminiscent to the Poincar\\'e recurrences, was shown to be Poissonian. A simple empirical relation for the mean period between the fluctuations (Poincar\\'e "cycle") has been found and confirmed in numerical experiments. A new representation of the entropy via the variance of only a few trajectories ("particles") is proposed which greatly facilitates the computation, being at the same time fairly accurate for big fluctuations. The relation of our results to a long standing debates over statistical "irreversibility" and the "time arrow" is briefly discussed too.

  10. A Google Scholar gadget for calculating author citations and other statistical information regarding publications. more... Statistics

    E-Print Network [OSTI]

    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

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

    E-Print Network [OSTI]

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

    2004-06-22

    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.

  12. Introduction to CEAL Online Statistics I

    E-Print Network [OSTI]

    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...

  13. On the explanation for quantum statistics

    E-Print Network [OSTI]

    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.

  14. Spectral statistics of nearly unidirectional quantum graphs

    E-Print Network [OSTI]

    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.

  15. Black Hole Thermodynamics and Statistical Mechanics

    E-Print Network [OSTI]

    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.

  16. On statistical methods of structure function extraction

    E-Print Network [OSTI]

    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.

  17. GIS, SPATIAL STATISTICAL GRAPHICS, AND FOREST HEALTH.

    E-Print Network [OSTI]

    Symanzik, Jürgen

    , and Jürgen 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

  18. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    Stephens, Matthew

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

  19. Remarks on statistical errors in equivalent widths

    E-Print Network [OSTI]

    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.

  20. Purpose of journals Some popular statistical journals

    E-Print Network [OSTI]

    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

  1. Statistical Consistency With Dempster's Rule on

    E-Print Network [OSTI]

    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

  2. SHORT REVIEW Statistical tests of selective neutrality

    E-Print Network [OSTI]

    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

  3. URI WILENSKY STATISTICAL MECHANICS FOR SECONDARY SCHOOL

    E-Print Network [OSTI]

    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

  4. Spectral statistics for scaling quantum graphs

    E-Print Network [OSTI]

    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, $s_{n}=k_{n}-k_{n-1}$.

  5. STATISTICAL ANALYSIS OF PROTEIN FOLDING KINETICS

    E-Print Network [OSTI]

    Dinner, Aaron

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

  6. A Statistical Framework for Spatial Comparative Genomics

    E-Print Network [OSTI]

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

  7. Differential Privacy and Robust Statistics Cynthia Dwork

    E-Print Network [OSTI]

    Lei, Jing

    for differentially private mechanisms, which we call Propose-Test-Release (PTR), and for which we give a formal, the design of insensitive algorithms can require considerable re-thinking of existing algorithms. Much. Most well-known elementary statistical methods are para- metric. For example, given data samples x1

  8. MINI-WORKSHOP ANNOUNCEMENT Department of Statistics

    E-Print Network [OSTI]

    Stephens, Matthew

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

  9. INDIAN STATISTICAL INSTITUTE SQC & OR Unit

    E-Print Network [OSTI]

    Bandyopadhyay, Antar

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

  10. INDIAN STATISTICAL INSTITUTE SQC & OR Unit

    E-Print Network [OSTI]

    Bandyopadhyay, Antar

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

  11. Communication as information use: insights from statistical

    E-Print Network [OSTI]

    Stephens, David W.

    3 Communication as information use: insights from statistical decision theory caitlin r. kight Communication Theory: Information and Influence, ed. Ulrich Stegmann. Published by Cambridge University Press focuses on the latter, which forms the basis of animal communication. Animal communication has been

  12. Multivariate Statistics Unit code: MATH38061

    E-Print Network [OSTI]

    Sidorov, Nikita

    MATH38061 Multivariate Statistics Unit code: MATH38061 Credit Rating: 10 Unit level: Level 3. Aims To familiarise students with the ideas and methodology of certain multivariate methods together sets of data are multivariate in that they consist of observations on several different variables

  13. Multivariate Statistics Unit code: MATH48061

    E-Print Network [OSTI]

    Sidorov, Nikita

    MATH48061 Multivariate Statistics Unit code: MATH48061 Credit Rating: 15 Unit level: Level 4. Aims To familiarise students with the ideas and methodology of certain multivariate methods together sets of data are multivariate in that they consist of observations on several different variables

  14. Linearity -statistics 1.1B training

    E-Print Network [OSTI]

    Linearity - statistics IPAT 1.1B training 300M training D0 resolution is evaluated using 100k single muon events (same events in all 3 plots). Red is the default 11L FTK bank trained using 300M muons on narrow beam of muons (central eta, fixed phi, high fixed pT). Using two types of training: default FTK

  15. Presented by Statistical Physics of Fracture

    E-Print Network [OSTI]

    Presented by Statistical Physics of Fracture: Recent Advances through High-Performance Computing) ­ Phys. Rev. E 71 (2005a, 2005b, 2005c); 73 (2006a, 2006b) ­ Adv. Phys. (2006); Int. J. Fracture (2006); Int. J. Fracture (2008a, 2008b) ­ J. Phys. D (2009); J. Chem. Phys. (2009); Phys. Rev. B (2009

  16. Seismic imaging using higher order statistics 

    E-Print Network [OSTI]

    Srinivasan, Karthik

    1999-01-01

    the resulting algorithm is a cross-correlation (second order statistics) operation whose region of support is limited to the bandwidth of the source signal. This is not the case for non-vanishing higher order cumulates where the support region can be extended...

  17. Baseballs and Barrels: World Statistics Day

    Broader source: Energy.gov [DOE]

    Statistics don’t just help us answer trivia questions – they also help us make intelligent decisions. For example, if I heat my home with natural gas, I’m probably interested in what natural gas prices are likely to be this winter.

  18. Heat pump market and statistics report 2013

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

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

  19. Problems on Non-Equilibrium Statistical Physics 

    E-Print Network [OSTI]

    Kim, Moochan

    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...

  20. STATISTICS 579 R Tutorial : Programming in R

    E-Print Network [OSTI]

    Fall 2005 STATISTICS 579 R Tutorial : Programming in R 1. Conditional computation in R: The basic control structure available in R for conditional computation is of the form if (cond) expr-1 else expr-2 where cond is an expression that evaluates to a logical value, expr-1 is an R expression

  1. SYLLABUS MATH 7608 STATISTICAL PROGRAMMING WITH R

    E-Print Network [OSTI]

    Hagen, Thomas

    SYLLABUS ­ MATH 7608 STATISTICAL PROGRAMMING WITH R SPRING 2014 11:30- 12:25 MWF DUNN HALL 207:00-4:00 MW or by appointment Textbook: Scientific Programming and Simulation Using R, by Owen Jones, Robert will have a due date assigned and will be turned in via drop box. The program must run in R without error

  2. statistical physics canonical ensemble Uranium Centrifuges

    E-Print Network [OSTI]

    statistical physics canonical ensemble Uranium Centrifuges The easiest type of nuclear weapon of the physics behind crude uranium enrichment methods. 2 The centrifuge concept is a very generic way of trying the uranium, we remove gas from the ends of the centrifuge, where the heavier uranium atoms are more

  3. Daily Precipitation Statistics: An Intercomparison between

    E-Print Network [OSTI]

    Zeng, Ning

    Daily Precipitation Statistics: An Intercomparison between NCEP Reanalyses and Observations Vernon-2010. Resolution T382 (~0.3x0.3 degrees). #12;R1, R2, CFSR: Comparison to OI Station-based Precipitation Analyses station-based daily precipitation analysis data set (1979-2006). · The high-resolution reanalysis (CFSR

  4. A Statistics-Guided Approach to Precise Characterization of Nanowire

    E-Print Network [OSTI]

    Wang, Xudong

    A Statistics-Guided Approach to Precise Characterization of Nanowire Morphology Fei Wang and Department of Statistics, University of WisconsinOMadison, Madison, Wisconsin 53706. § These authors statistical ideas and means to establish a statistics-guided approach to precise char- acterization

  5. Montana State University 1 Ph.D. in Statistics

    E-Print Network [OSTI]

    Maxwell, Bruce D.

    Montana State University 1 Ph.D. in Statistics Ph.D. in Statistics Program Requirements The Ph.D. program in statistics at Montana State University prepares students for academic, industrial, business, or government employment. To earn a Ph.D. in statistics, a student must pass a qualifying exam

  6. n-Gram Statistics in MapReduce

    E-Print Network [OSTI]

    Waldmann, Uwe

    Computing n-Gram Statistics in MapReduce Klaus Berberich (kberberi@mpi-inf.mpg.de) Srikanta Bedathur (bedathur@iiitd.ac.in) #12;Computing n-Gram Statistics in MapReduce ­ Klaus Berberich / 26 n-Gram Statistics Statistics about variable-length word sequences (e.g., lord of the rings, at the end

  7. Chapter 1 The Nature of Probability and Statistics

    E-Print Network [OSTI]

    Hong, Don

    Chapter 1 The Nature of Probability and Statistics 1.1 Introduction Definition. Statistics based on probability theory. This chapter introduces the basic concepts of probability and statistics by answering questions like: · what are the branches of statistics · what are data · how are samples selected 1

  8. Teaching computing in statistical theory courses David R. Hunter

    E-Print Network [OSTI]

    Hunter, David

    Teaching computing in statistical theory courses David R. Hunter Department of Statistics of Gentle (2004), who states that ". . . all graduate programs in statistics should offer at least one The Pennsylvania State University June 27, 2005 Abstract Graduate-level instruction in statistical computing need

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

    E-Print Network [OSTI]

    Seamons, Kent E.

    of Statistical Results Stat 330 Introduction to Regression Stat 340 Inference Program Requirements: Complete 496R Academic Internship: Statistics Stat 497R Introduction to Statistical Research RecommendedBS in ACTUARIAL SCIENCE (695224) MAP Sheet Department of Statistics For students entering

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

    E-Print Network [OSTI]

    Seamons, Kent E.

    of Statistical Results Stat 330 Introduction to Regression Stat 340 Inference Program Requirements: Complete & Forecasting Stat 496R Academic Internship: Statistics Stat 497R Introduction to Statistical Research Stat 545BS in ACTUARIAL SCIENCE (695224) MAP Sheet Department of Statistics For students entering

  11. 10-702: Statistical Machine Learning Syllabus, Spring 2010

    E-Print Network [OSTI]

    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

  12. Experiences with a Course on \\Web{Based Statistics"

    E-Print Network [OSTI]

    Symanzik, Jürgen

    Experiences with a Course on \\Web{Based Statistics" Jurgen Symanzik Natascha Vukasinovic Utah State@sunfs.math.usu.edu Abstract Many Statistics courses have been taught that make use of Web{based statistical tools such as teachware tools, electronic textbooks, and statistical software on the Web. However, to our best knowledge

  13. Teaching Experiences with a Course on ``Web--Based Statistics''

    E-Print Network [OSTI]

    Symanzik, Jürgen

    Teaching Experiences with a Course on ``Web--Based Statistics'' J¨urgen Symanzik Natascha@sunfs.math.usu.edu Abstract Many Statistics courses have been taught that make use of Web--based statistical tools such as teachware tools, electronic textbooks, and statistical software on the Web. However, to our best knowledge

  14. Teaching Experiences with a Course on \\Web{Based Statistics"

    E-Print Network [OSTI]

    Symanzik, Jürgen

    Teaching Experiences with a Course on \\Web{Based Statistics" Jurgen Symanzik Natascha Vukasinovic@sunfs.math.usu.edu Abstract Many Statistics courses have been taught that make use of Web{based statistical tools such as teachware tools, electronic textbooks, and statistical software on the Web. However, to our best knowledge

  15. Statistical distributions of earthquake numbers: consequence of branching process

    E-Print Network [OSTI]

    Kagan, Yan Y

    2010-01-01

    Statistical short-term earthquake prediction, Science, Kotz,Earthquake interaction, forecast- ing, and prediction <

  16. UNITY: Confronting Supernova Cosmology's Statistical and Systematic Uncertainties in a Unified Bayesian Framework

    E-Print Network [OSTI]

    Rubin, David; Barbary, Kyle; Boone, Kyle; Chappell, Greta; Currie, Miles; Deustua, Susana; Fagrelius, Parker; Fruchter, Andrew; Hayden, Brian; Lidman, Chris; Nordin, Jakob; Perlmutter, Saul; Saunders, Clare; Sofiatti, Caroline

    2015-01-01

    While recent supernova cosmology research has benefited from improved measurements, current analysis approaches are not statistically optimal and will prove insufficient for future surveys. This paper discusses the limitations of current supernova cosmological analyses in treating outliers, selection effects, shape- and color-standardization relations, intrinsic dispersion, and heterogeneous observations. We present a new Bayesian framework, called UNITY (Unified Nonlinear Inference for Type-Ia cosmologY), that incorporates significant improvements in our ability to confront these effects. We apply the framework to real supernova observations and demonstrate smaller statistical and systematic uncertainties. We verify earlier results that SNe Ia require nonlinear shape and color standardizations, but we now include these nonlinear relations in a statistically well-justified way. This analysis was blinded, in that the method was first validated on simulated data, and no analysis changes were made after transiti...

  17. Journal of Statistical Physics, Vol. 74. Nos. 1/2, 1994 Energy-Level Statistics of Model Quantum

    E-Print Network [OSTI]

    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

  18. Summary Recommendations of Review of Statistical Research Methods Training and Research Support (including the Statistical Consulting Unit)

    E-Print Network [OSTI]

    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

  19. Financial statistics of selected publicly owned electric utilities 1989. [Contains glossary

    SciTech Connect (OSTI)

    Not Available

    1991-02-06

    The Financial Statistics of Selected Publicly Owned Electric Utilities publication presents summary and detailed financial accounting data on the publicly owned electric utilities. The objective of the publication is to provide the Federal and State governments, industry, and the general public with data that can be used for policymaking and decision making purposes relating to publicly owned electric utility issues. 21 tabs.

  20. Robust statistical reconstruction for charged particle tomography

    DOE Patents [OSTI]

    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.

  1. Statistical Issues in Searches for New Physics

    E-Print Network [OSTI]

    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.

  2. A different approach to introducing statistical mechanics

    E-Print Network [OSTI]

    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...

  3. Consequences of Flooding on Spectral Statistics

    E-Print Network [OSTI]

    Torsten Rudolf; Normann Mertig; Steffen Löck; Arnd Bäcker

    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.

  4. Topological Cacti: Visualizing Contour-based Statistics

    SciTech Connect (OSTI)

    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.

  5. Entropic cosmology through non-gaussian statistics

    E-Print Network [OSTI]

    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.

  6. Mathematical and Statistical Opportunities in Cyber Security

    E-Print Network [OSTI]

    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.

  7. Statistical approach to nuclear level density

    SciTech Connect (OSTI)

    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.

  8. On the variance of linear statistics of Hermitian random matrices

    E-Print Network [OSTI]

    Chao Min; Yang Chen

    2015-11-03

    Linear statistics, a random variable build out of the sum of the evaluation of functions at the eigenvalues of a N times N random matrix,sum[j=1 to N]f(xj) or tr f(M), is an ubiquitous statistical characteristics in random matrix theory. Hermitian random matrix ensembles, under the eigenvalue-eigenvector decomposition give rise to the joint probability density functions of N random variables. We show that if f(.) is a polynomial of degree K, then the variance of trf(M), is of the form,sum[n=1 to K] n(d[n])square, and d[n] is related to the expansion coefficients c[n] of the polynomial f(x) =sum[n=0 to K] c[n] b Pn(x), where Pn(x) are polynomials of degree n, orthogonal with respect to the weights 1/[(b-x)(x-a)]^(1/2), [(b -x)(x -a)]^(1/2), [(b-x)(x-a)]^(1/2)/x; (0 < a < x < b), [(b-x)(x-a)]^(1/2)/[x(1-x)] ; (0 < a < x < b < 1), respectively.

  9. Statistical Methods for Thermonuclear Reaction Rates and Nucleosynthesis Simulations

    E-Print Network [OSTI]

    Christian Iliadis; Richard Longland; Alain Coc; F. X. Timmes; Art E. Champagne

    2014-09-19

    Rigorous statistical methods for estimating thermonuclear reaction rates and nucleosynthesis are becoming increasingly established in nuclear astrophysics. The main challenge being faced is that experimental reaction rates are highly complex quantities derived from a multitude of different measured nuclear parameters (e.g., astrophysical S-factors, resonance energies and strengths, particle and gamma-ray partial widths). We discuss the application of the Monte Carlo method to two distinct, but related, questions. First, given a set of measured nuclear parameters, how can one best estimate the resulting thermonuclear reaction rates and associated uncertainties? Second, given a set of appropriate reaction rates, how can one best estimate the abundances from nucleosynthesis (i.e., reaction network) calculations? The techniques described here provide probability density functions that can be used to derive statistically meaningful reaction rates and final abundances for any desired coverage probability. Examples are given for applications to s-process neutron sources, core-collapse supernovae, classical novae, and big bang nucleosynthesis.

  10. Lecture Notes in Statistical Mechanics and Mesoscopics

    E-Print Network [OSTI]

    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.

  11. Statistical review of coal in Canada, 1997

    SciTech Connect (OSTI)

    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).

  12. Statistical equilibrium in deterministic cellular automata

    E-Print Network [OSTI]

    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.

  13. Discriminative methods for statistical spoken dialogue systems

    E-Print Network [OSTI]

    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...

  14. Weatherization Assistance Program - Background Data and Statistics

    SciTech Connect (OSTI)

    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.

  15. Statistical Mechanics of gravitating systems in static and cosmological backgrounds

    E-Print Network [OSTI]

    T. Padmanabhan

    2002-06-09

    This pedagogical review addresses several issues related to statistical description of gravitating systems in both static and expanding backgrounds, focusing on the latter. After briefly reviewing the results for the static background, I describe the key issues and recent progress in the context of gravitational clustering of collision-less particles in an expanding universe. The questions addressed include: (a) How does the power injected into the system at a given wave number spread to smaller and larger scales? (b) How does the power spectrum of density fluctuations behave asymptotically at late times? (c) What are the universal characteristics of gravitational clustering that are independent of the initial conditions and manifest at the late time evolution of the system? The review is intended for non cosmologists and will be of interest to people working in fluid mechanics, non linear dynamics and condensed matter physics.

  16. Heat-exchange statistics in driven open quantum systems

    E-Print Network [OSTI]

    S. Gasparinetti; P. Solinas; A. Braggio; M. Sassetti

    2014-07-29

    As the dimensions of physical systems approach the nanoscale, the laws of thermodynamics must be reconsidered due to the increased importance of fluctuations and quantum effects. While the statistical mechanics of small classical systems is relatively well understood, the quantum case still poses challenges. Here we set up a formalism that allows to calculate the full probability distribution of energy exchanges between a periodically driven quantum system and a thermalized heat reservoir. The formalism combines Floquet theory with a generalized master equation approach. For a driven two-level system and in the long-time limit, we obtain a universal expression for the distribution, providing clear physical insight into the exchanged energy quanta. We illustrate our approach in two analytically solvable cases and discuss the differences in the corresponding distributions. Our predictions could be directly tested in a variety of systems, including optical cavities and solid-state devices.

  17. Statistical nature of cluster emission in nuclear liquid phase

    E-Print Network [OSTI]

    Y. G. Ma

    2002-03-23

    The emission of nuclear clusters is investigated within the framework of isospin dependent lattice gas model and classical molecular dynamics model. It is found that the emission of individual cluster which is heavier than proton is almost Poissonian except near the liquid gas phase transition point and the thermal scaling is observed by the linear Arrhenius plots which is made from the average multiplicity of each cluster versus the inverse of temperature in the nuclear liquid phase. It indicates of a statistical nature of such cluster emission in the models. The "emission barriers" which are the slopes of the Arrhenius plots are extracted as a function of the mass or charge number and fitted by the formula embodied with the contributions of the surface energy and Coulomb interaction. The possible influences of the source size, Coulomb interaction and "freeze-out" density and related physical implications are discussed.

  18. Early Prediction of Coronary Artery Calcification Levels Using Statistical Relational Learning

    E-Print Network [OSTI]

    Natarajan, Sriraam

    Sriraam Natarajan, Kristian Kersting , Saket Joshi+ , Santiago Saldana, Edward Ip, David R. Jacobs, Jr

  19. A statistical model relating transcription factor concentrations to positional information in the early Drosophila embryo

    E-Print Network [OSTI]

    Ilsley, Garth Robert

    2010-10-12

    expression measurements of almost 100 genes in more than 6,000 individual nuclei at six time points. Different modelling approaches are evaluated in the context of this data set leading to a justification of logistic regression and the methods used to prepare...

  20. Broadening the Statistical Search for Metal Price Super Cycles to Steel and Related Metals

    E-Print Network [OSTI]

    run up in metal prices, allegedly fueled by industrial development and urbanization in China, India for super-cycle behavior to three additional metal products that are critical in the early phases portfolio managers, and hedge funds are among those that have fueled the demand for these metal plays. #12

  1. Figure ES1. Schema for Estimating Energy and Energy-Related Statistics,

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun20032,485,331Gas2001 ES1 Figure ES1. Schema

  2. Relational Database SQL: Querying the Relational DB

    E-Print Network [OSTI]

    Qiu, Weigang

    Standards and Dialects ISO SQL:2008 DBMS vendors offer their own extensions Oracle PostgreSQL MySQL Weigang: auto-completion and command history Weigang Qiu Relational Database & SQL #12;Relational Database SQL

  3. The Curious Reluctance to Define Prime Probability Statistically & An elementary probability-based approach to estimating prime counting functions statistically

    E-Print Network [OSTI]

    Bhupinder Singh Anand

    2015-10-13

    All the known approximations of the number of primes pi(n) not exceeding any given integer n are derived from real-valued functions that are asymptotic to pi(x), such as x/log x, Li(x) and Riemann's function R(x). The degree of approximation for finite values of n is determined only heuristically, by conjecturing upon an error term in the asymptotic relation that can be seen to yield a closer approximation than others to the actual values of pi(n) within a finite range of values of n. None of these can, however, claim to estimate pi(n) uniquely for all values of n. We show that the statistical probability of n being a prime is the product (1-1/p) over all primes not exceeding the square root of n; and that statistically the expected value of the number pi(n) of primes not exceeding n is given uniquely by the sum, over all j not exceeding n, of the product (1-1/p) over all primes not exceeding the square root of j. We then demonstrate how this yields elementary probability-based proofs of the Prime Number Theorem, Dirichlect's Theorem, and the Twin-Prime Conjecture.

  4. Introduction to statistical physics of media processes: Mediaphysics

    E-Print Network [OSTI]

    Dmitri V. Kuznetsov; Igor Mandel

    2005-06-30

    Processes of mass communications in complicated social or sociobiological systems such as marketing, economics, politics, animal populations, etc. as a subject for the special scientific discipline - "mediaphysics" - are considered in its relation with sociophysics. A new statistical physics approach to analyze these phenomena is proposed. A keystone of the approach is an analysis of population distribution between two or many alternatives: brands, political affiliations, or opinions. Relative distances between a state of a "person's mind" and the alternatives are measures of propensity to buy (to affiliate, or to have a certain opinion). The distribution of population by those relative distances is time dependent and affected by external (economic, social, marketing, natural) and internal (mean-field influential propagation of opinions, synergy effects, etc.) factors, considered as fields. Specifically, the interaction and opinion-influence field can be generalized to incorporate important elements of Ising-spin based sociophysical models and kinetic-equation ones. The distributions were described by a Schrodinger-type equation in terms of Green's functions. The developed approach has been applied to a real mass-media efficiency problem for a large company and generally demonstrated very good results despite low initial correlations of factors and the target variable.

  5. Transit Timing Observations from Kepler: VII. Potentially interesting candidate systems from Fourier-based statistical tests

    SciTech Connect (OSTI)

    Steffen, Jason H.; Ford, Eric B.; Rowe, Jason F.; Fabrycky, Daniel C.; Holman, Matthew J.; Welsh, William F.; Borucki, William J.; Batalha, Natalie M.; Bryson, Steve; Caldwell, Douglas A.; Ciardi, David R.; /Caltech /NASA, Ames /SETI Inst., Mtn. View

    2012-01-01

    We analyze the deviations of transit times from a linear ephemeris for the Kepler Objects of Interest (KOI) through Quarter six (Q6) of science data. We conduct two statistical tests for all KOIs and a related statistical test for all pairs of KOIs in multi-transiting systems. These tests identify several systems which show potentially interesting transit timing variations (TTVs). Strong TTV systems have been valuable for the confirmation of planets and their mass measurements. Many of the systems identified in this study should prove fruitful for detailed TTV studies.

  6. Classification of generalized quantum statistics associated with the exceptional Lie (super)algebras

    SciTech Connect (OSTI)

    Stoilova, N. I.; Jeugt, J. van der

    2007-04-15

    Generalized quantum statistics (GQS) associated with a Lie algebra or Lie superalgebra extends the notion of para-Bose or para-Fermi statistics. Such GQS have been classified for all classical simple Lie algebras and basic classical Lie superalgebras. In the current paper we finalize this classification for all exceptional Lie algebras and superalgebras. Since the definition of GQS is closely related to a certain Z grading of the Lie (super)algebra G, our classification reproduces some known Z gradings of exceptional Lie algebras. For exceptional Lie superalgebras such a classification of Z gradings has not been given before.

  7. Software Verification and Validation for Commercial Statistical Packages Utilized by the Statistical Consulting Section of SRTC

    SciTech Connect (OSTI)

    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.

  8. Independence of some polynomial statistics and of the sample mean

    E-Print Network [OSTI]

    2005-01-07

    polynomial statistics, Pl(x) and P2(x)~ can be independent random variables. When one of the statistics is linear, the general method of solving such problems is ...

  9. Evaporation Duct Estimation from Clutter Using Meteorological Statistics

    E-Print Network [OSTI]

    Gerstoft, Peter

    Evaporation Duct Estimation from Clutter Using Meteorological Statistics Caglar Yardim*, Peter under duct- ing conditions. Electromagnetic ducts result in non-standard electromagnetic prop- agation addresses how to incorporate meteo- rological statistics into evaporative duct estimation within a Bayesian

  10. CRRAO Advanced Institute of Mathematics, Statistics and Computer Science (AIMSCS)

    E-Print Network [OSTI]

    McLachlan, Geoff

    of Mathematics, Statistics and Computer Science, Hyderabad, India 2 Public Health Foundation of India 3CRRAO Advanced Institute of Mathematics, Statistics and Computer Science (AIMSCS) Author (s. C R Rao Road, University of Hyderabad Campus, Gachibowli, Hyderabad-500046, INDIA. www

  11. Universality level statistics disordered systems Heiko Bauke* and Stephan Mertens

    E-Print Network [OSTI]

    Mertens, Stephan

    k #8# check assumption statistically independent energy levels measured distribution of # kUniversality level statistics disordered systems Heiko Bauke* and Stephan Mertens + Institut published August 2004) Energy spectra disordered systems share a common feature: If entropy quenched

  12. Outline of the talk Statistics on Graphs, Exponential Formula and

    E-Print Network [OSTI]

    Poinsot, Laurent

    Outline of the talk Statistics on Graphs, Exponential Formula and Combinatorial Physics G and Complexity" Laurent Poinsot Statistics on Graphs, Exponential Formula and Combinatorial Physics #12;Exponential Formula : Informal Version Ingredients for the exponential formula Partial commutative monoids

  13. Master's Thesis Hybrid Statistical Model Checking Technique for

    E-Print Network [OSTI]

    Master's Thesis Hybrid Statistical Model Checking Technique for Reliable Safety Critical Systems Technique for Reliable Safety Critical Systems #12;Hybrid Statistical Model Checking Technique for Reliable Safety Critical Systems Advisor : Professor Kim, Moonzoo by Kim, Youngjoo Department of Computer Science

  14. Signal statistics of phase dependent optical time domain reflectometry 

    E-Print Network [OSTI]

    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 ...

  15. Beyond subjective and objective in statistics Andrew Gelman Christian Hennig

    E-Print Network [OSTI]

    Gelman, Andrew

    Beyond subjective and objective in statistics Andrew Gelman Christian Hennig 15 Feb 2015 Abstract We propose to abandon the words "objectivity" and "subjectivity" in statistics discourse and replace, consensus, impartiality, and correspondence to observable reality, and subjectivity replaced by awareness

  16. Discovering Statistical Models of Availability in Large Distributed Systems

    E-Print Network [OSTI]

    Kondo, Derrick

    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

  17. Cloud-Based Statistical Analysis from Users' Perspective Botong Huang

    E-Print Network [OSTI]

    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

  18. Statistical simulation ?of the magnetorotational dynamo

    SciTech Connect (OSTI)

    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.

  19. On the statistics of the gravitational field

    E-Print Network [OSTI]

    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.

  20. 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

  1. Statistical physical approach to describe the collective properties of dislocations

    E-Print Network [OSTI]

    Groma, István

    Eötvös University Budapest http://metal.elte.hu/~.groma/CISM/talk.pdf ­ p. 1/? #12;Statistical physical

  2. Statistical Algorithms for High-throughput Biological Data /

    E-Print Network [OSTI]

    Jeong, Kyowon

    2013-01-01

    Statistical Algorithms for High-throughput Biological Data by Kyowon Jeong Doctor of Philosophy in Electrical Engineering (Communication Theory

  3. Anyonic statistics and large horizon diffeomorphisms for Loop Quantum Gravity Black Holes

    E-Print Network [OSTI]

    Andreas G. A. Pithis; Hans-Christian Ruiz Euler

    2015-03-24

    We investigate the role played by large diffeomorphisms of quantum Isolated Horizons for the statistics of LQG Black Holes by means of their relation to the braid group. To this aim the symmetries of Chern-Simons theory are recapitulated with particular regard to the aforementioned type of diffeomorphisms. For the punctured spherical horizon, these are elements of the mapping class group of $S^2$, which is almost isomorphic to a corresponding braid group on this particular manifold. The mutual exchange of quantum entities in two dimensions is achieved by the braid group, rendering the statistics anyonic. With this we argue that the quantum Isolated Horizon model of LQG based on $SU(2)_k$-Chern-Simons theory explicitly exhibits non-abelian anyonic statistics. In this way a connection to the theory behind the fractional quantum Hall effect and that of topological quantum computation is established, where non-abelian anyons play a significant role.

  4. Software verification and validation for commercial statistical packages utilized by the statistical consulting section of SRTC

    SciTech Connect (OSTI)

    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.

  5. A statistically predictive model for future monsoon failure in India

    E-Print Network [OSTI]

    Levermann, Anders

    A statistically predictive model for future monsoon failure in India Jacob Schewe1,2 and Anders Information #12;A statistically predictive model for future monsoon failure in India 2 mm/day numberofyears 0 statistically predictive model for future monsoon failure in India 4 30 o S 15o S 0 o 15o N 30o N A dry May B

  6. On some statistical aspects of software testing and reliability

    E-Print Network [OSTI]

    Coolen, Frank

    On some statistical aspects of software testing and reliability Frank P.A. Coolen Abstract This article discusses the author's views on possible contributions statistics can make to software testing, the mes- sage is that statistical methods cannot provide proper support for software testing or provide

  7. Mathematics & Statistics Strategic Planning Phase III, Part I

    E-Print Network [OSTI]

    Schweik, Charles M.

    Mathematics & Statistics Strategic Planning Phase III, Part I Departmental Scan & Enhancements and Scholarly Recognition 1. Overview. The Department of Mathematics and Statistics is a community of scholars. The M.S. programs in both Applied Mathematics and Statistics contribute to an important pipeline

  8. Statistical method to determine some properties of atoms

    E-Print Network [OSTI]

    Roma "La Sapienza", Università 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

  9. Generalized Energy Statistics and Kostka-Macdonald Polynomials

    E-Print Network [OSTI]

    RIMS-1704 Generalized Energy Statistics and Kostka-Macdonald Polynomials By Anatol N. KIRILLOV of the modified Macdonald polynomial as a generating function of the energy statistics defined on the set of paths generalizations of the energy statistics on the set of BBS-paths which all, conjecturally, have the same

  10. Landscape statistics of the low autocorrelated binary string problem

    E-Print Network [OSTI]

    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

  11. Landscape statistics of the low autocorrelated binary string problem

    E-Print Network [OSTI]

    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

  12. POS: A Practical Order Statistics Service for Wireless Sensor Networks

    E-Print Network [OSTI]

    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

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    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

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    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

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    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

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    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

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    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

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    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

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    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