Sample records for research statistical dataset

  1. 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

  2. Indian Agricultural Statistics Research Institute (Indian Council of Agricultural Research)

    E-Print Network [OSTI]

    Rodriguez, Carlos

    #12;Indian Agricultural Statistics Research Institute (Indian Council of Agricultural Research, Indian Agricultural Statistics Research Institute (ICAR), Library Avenue, Pusa, New Delhi-110012 : July 2011 All Rights Reserved 2011, Indian Agricultural Statistics Research Institute (ICAR), New Delhi

  3. |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

  4. Welcome - OpenEI Datasets

    Open Energy Info (EERE)

    Search for a topic or click on a statistic to dive into our datasets. This is a featured section Placeholder OpenEI Datasets statistics 1k datasets 2 organizations 0 related items...

  5. Stumbl: Using Facebook to Collect Rich Datasets for Opportunistic Networking Research

    E-Print Network [OSTI]

    Gesbert, David

    Stumbl: Using Facebook to Collect Rich Datasets for Opportunistic Networking Research Theus, mobility and communication ties. Stumbl is a Facebook application that provides participating users with a user-friendly interface to report their daily face-to-face meetings with other Facebook friends

  6. A Parallel Statistical Learning Approach to the Prediction of Building Energy Consumption Based on Large Datasets

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A Parallel Statistical Learning Approach to the Prediction of Building Energy Consumption Based consumption of buildings based on historical performances is an important approach to achieve energy efficiency. A simulation method is here introduced to obtain sufficient clean historical consumption data

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

    E-Print Network [OSTI]

    Boyer, Edmond

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

  8. Buildings Performance Database - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    data. The platform enables users to perform statistical analysis on an anonymous dataset of tens of thousands of commercial and residential buildings from across the country....

  9. ORIGINAL RESEARCH Open Access Optimizing statistical parametric mapping

    E-Print Network [OSTI]

    ORIGINAL RESEARCH Open Access Optimizing statistical parametric mapping analysis of 18 F-FDG PET is an objective tool to analyze 18F-fluoro-2-deoxy-D- glucose-positron-emission tomography (FDG-PET) images, Epilepsy Background Visual inspection of 18F-fluoro-2-deoxy-D-glucose- positron-emission tomography (FDG

  10. Research article Statistics usage by French academic libraries a

    E-Print Network [OSTI]

    Boyer, Edmond

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

  11. Discussion Papers No. 386, August 2004 Statistics Norway, Social and Demographic Research

    E-Print Network [OSTI]

    Løw, Erik

    Discussion Papers No. 386, August 2004 Statistics Norway, Social and Demographic Research Nico Commission. Address: Nico Keilman, Statistics Norway, Social and Demographic Research. E-mail: Nico.Keilman@ssb.no Dinh Quang Pham, Statistics Norway, Statistical Methods and Standards. E-mail: dinh.quang.pham @ssb

  12. 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

  13. Research on the Statistical Method of Energy Consumption for Public Buildings in China 

    E-Print Network [OSTI]

    Chen, S.; Li, N.

    2006-01-01T23:59:59.000Z

    The purpose of this research is to develop a national statistical system for energy consumption data for public buildings in China, in order to provide data support for building energy efficiency work. The framework for a national statistical system...

  14. Research on the Statistical Method of Energy Consumption for Public Buildings in China

    E-Print Network [OSTI]

    Chen, S.; Li, N.

    2006-01-01T23:59:59.000Z

    The purpose of this research is to develop a national statistical system for energy consumption data for public buildings in China, in order to provide data support for building energy efficiency work. The framework for a national statistical system...

  15. Job Opportunity: Statistics/Econometrics Research Assistant Location: Hunter College, City University of New York

    E-Print Network [OSTI]

    Qiu, Weigang

    Job Opportunity: Statistics/Econometrics Research Assistant Location: Hunter College, City and between databases using statistical and/or econometric techniques Maintain and update quantitative candidates with bachelor's degrees and relevant skills will also be considered. Training in econometrics

  16. Statistics

    E-Print Network [OSTI]

    Rubin, Herman [bio] Professor of Statistics and Mathematics PhD: University of Chicago 1948. Office: MATH 550; Phone: +1 765 49-46054; Email: ...

  17. JRF (Quality, Reliability and Operations Research): 2013 INDIAN STATISTICAL INSTITUTE

    E-Print Network [OSTI]

    Bandyopadhyay, Antar

    Research, (E) Quality Management and Systems and (F) Mathematics. A broad coverage for each of the above), Queuing theory (M/M/s), Game theory (two person zero-sum game). E. Quality Management and Systems: Quality, Quality planning, Quality costs, Total qual- ity management, Six sigma, Quality management system concepts

  18. Massive Datasets in Astronomy

    E-Print Network [OSTI]

    Robert J. Brunner; S. George Djorgovski; Thomas A. Prince; Alex S. Szalay

    2001-06-26T23:59:59.000Z

    Astronomy has a long history of acquiring, systematizing, and interpreting large quantities of data. Starting from the earliest sky atlases through the first major photographic sky surveys of the 20th century, this tradition is continuing today, and at an ever increasing rate. Like many other fields, astronomy has become a very data-rich science, driven by the advances in telescope, detector, and computer technology. Numerous large digital sky surveys and archives already exist, with information content measured in multiple Terabytes, and even larger, multi-Petabyte data sets are on the horizon. Systematic observations of the sky, over a range of wavelengths, are becoming the primary source of astronomical data. Numerical simulations are also producing comparable volumes of information. Data mining promises to both make the scientific utilization of these data sets more effective and more complete, and to open completely new avenues of astronomical research. Technological problems range from the issues of database design and federation, to data mining and advanced visualization, leading to a new toolkit for astronomical research. This is similar to challenges encountered in other data-intensive fields today. These advances are now being organized through a concept of the Virtual Observatories, federations of data archives and services representing a new information infrastructure for astronomy of the 21st century. In this article, we provide an overview of some of the major datasets in astronomy, discuss different techniques used for archiving data, and conclude with a discussion of the future of massive datasets in astronomy.

  19. World Climate Research Programme (WCRP) Coupled Model Intercomparison Project phase 3 (CMIP3): Multi-Model Dataset Archive at PCMDI (Program for Climate Model Diagnosis and Intercomparison)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    In response to a proposed activity of the WCRP's Working Group on Coupled Modelling (WGCM),PCMDI volunteered to collect model output contributed by leading modeling centers around the world. Climate model output from simulations of the past, present and future climate was collected by PCMDI mostly during the years 2005 and 2006, and this archived data constitutes phase 3 of the Coupled Model Intercomparison Project (CMIP3). In part, the WGCM organized this activity to enable those outside the major modeling centers to perform research of relevance to climate scientists preparing the Fourth Asssessment Report (AR4) of the Intergovernmental Panel on Climate Change (IPCC). The IPCC was established by the World Meteorological Organization and the United Nations Environmental Program to assess scientific information on climate change. The IPCC publishes reports that summarize the state of the science. This unprecedented collection of recent model output is officially known as the WCRP CMIP3 multi-model dataset. It is meant to serve IPCC's Working Group 1, which focuses on the physical climate system - atmosphere, land surface, ocean and sea ice - and the choice of variables archived at the PCMDI reflects this focus. A more comprehensive set of output for a given model may be available from the modeling center that produced it. As of November 2007, over 35 terabytes of data were in the archive and over 303 terabytes of data had been downloaded among the more than 1200 registered users. Over 250 journal articles, based at least in part on the dataset, have been published or have been accepted for peer-reviewed publication. Countries from which models have been gathered include Australia, Canada, China, France, Germany and Korea, Italy, Japan, Norway, Russia, Great Britain and the United States. Models, variables, and documentation are collected and stored. Check http://www-pcmdi.llnl.gov/ipcc/data_status_tables.htm to see at a glance the output that is available. (Description taken from http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php)

  20. Research Brief The Commonwealth's Official Source for Population and Economic Statistics

    E-Print Network [OSTI]

    Guiltinan, Mark

    Research Brief The Commonwealth's Official Source for Population and Economic Statistics December 8 demographic and socio-economic data for every community in the United States, including all counties for Pennsylvania counties and municipalities. In Pennsylvania, new detailed socio-economic data was released

  1. Advanced statistical methods for shortterm wind power forecasting Research proposal draft

    E-Print Network [OSTI]

    Barnett, Alex

    Barnett July 2001 1 Background Over the last decade wind power has become a cost­effective alternative at a turbine) using linear or nonlinear time­series analysis (Alex­ iadis 1999), or 2) forecasting windAdvanced statistical methods for short­term wind power forecasting Research proposal draft Alex

  2. Mathematics and statistics research department. Progress report, period ending June 30, 1981

    SciTech Connect (OSTI)

    Lever, W.E.; Kane, V.E.; Scott, D.S.; Shepherd, D.E.

    1981-09-01T23:59:59.000Z

    This report is the twenty-fourth in the series of progress reports of the Mathematics and Statistics Research Department of the Computer Sciences Division, Union Carbide Corporation - Nuclear Division (UCC-ND). Part A records research progress in biometrics research, materials science applications, model evaluation, moving boundary problems, multivariate analysis, numerical linear algebra, risk analysis, and complementary areas. Collaboration and consulting with others throughout the UCC-ND complex are recorded in Part B. Included are sections on biology and health sciences, chemistry, energy, engineering, environmental sciences, health and safety research, materials sciences, safeguards, surveys, and uranium resource evaluation. Part C summarizes the various educational activities in which the staff was engaged. Part D lists the presentations of research results, and Part E records the staff's other professional activities during the report period.

  3. Summary of selected topics from G. J. Babu's Research G. J. Babu has diverse research interests in both statistics and probability, and their applications to

    E-Print Network [OSTI]

    Babu, G. Jogesh

    in both statistics and probability, and their applications to problems in biomedical research, Population Engineering's (SPIE) Symposium on Optical Science and Technology) in San Diego, in August 2001 on Statistical Inference is under preparation. Inter-disciplinary research and activities: Since late 1980's, G

  4. ASA conference on radiation and health: Health effects of electric and magnetic fields: Statistical support for research strategies. Final report

    SciTech Connect (OSTI)

    Not Available

    1990-05-01T23:59:59.000Z

    This report is a collection of papers documenting presentations made at the VIII ASA (American Statistical Association) Conference on Radiation and Health entitled Health Effects of Electric and Magnetic Fields: Statistical Support for Research Strategies. Individual papers are abstracted and indexed for the database.

  5. GPS RINEX Files - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License Creative Commons Attribution 4.0 Open Data Author University of...

  6. Surprise Valley water geochmical data - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License Creative Commons Attribution 4.0 Open Data Author Lawrence...

  7. Call for Papers IMS/ASA Spring Research Conference on Statistics

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    Statistics, American Statistical Association, and Harvard University. The theme of this conference are eligible for inclusion in the American Statistical Association 2012 Proceedings of the Section on Physical and Engineering Sciences. Please visit American Statistical Association website for information on the deadline

  8. Organizations - OpenEI Datasets

    Open Energy Info (EERE)

    ernateenergypromotioncentre Alternate Energy Promotion Centre 1 Dataset View Alternate Energy Promotion Centre alternativefuelsdatacenter Alternative Fuels Data Center 1...

  9. MARIE CURIE Research Training Network (RTN) Computational Optimization Methods in Statistics, Econometrics and Finance

    E-Print Network [OSTI]

    Nagurney, Anna

    in Statistics, Econometrics and Finance Dept. of Economics, Justus-Liebig-University, Giessen, Germany ­ Dept. of Econometrics, Université de Genève, Switzerland ­ Risk Analytics & Instruments, Deutsche Bank AG, Frankfurt. of Economics, Klagenfurt University, Austria ­ Dept. of Econometrics, University of Lodz, Poland 12

  10. Metering Best Practices Applied in the National Renewable Energy Laboratory's Research Support Facility: A Primer to the 2011 Measured and Modeled Energy Consumption Datasets

    SciTech Connect (OSTI)

    Sheppy, M.; Beach, A.; Pless, S.

    2013-04-01T23:59:59.000Z

    Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers -- computers that communicate with the building's various control systems -- to control the building based on tens of thousands of variables and sensor points. These control strategies were designed for the RSF's systems to efficiently support research activities. Many events that affect energy use cannot be reliably predicted, but certain decisions (such as control strategies) must be made ahead of time. NREL researchers modeled the RSF systems to predict how they might perform. They then monitor these systems to understand how they are actually performing and reacting to the dynamic conditions of weather, occupancy, and maintenance.

  11. Statistical Methods in Medical Research 2006; 15: 4761 Multi-level zero-inflated Poisson regression

    E-Print Network [OSTI]

    McLachlan, Geoff

    , Jane A. Scott Division of Developmental Medicine, University of Glasgow, UK, Kelvin K.W. Yau Department epidemiology,11 occupational health,12 child growth and development,13 and health service research.14 Moreover

  12. Brady's Geothermal Field Seismic Network Metadata - Datasets...

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License Creative Commons Attribution 4.0 Open Data Author University of...

  13. Massive Datasets in Astronomy

    E-Print Network [OSTI]

    Brunner, R J; Prince, T A; Szalay, A S; Brunner, Robert J.; Prince, Thomas A.; Szalay, Alex S.

    2001-01-01T23:59:59.000Z

    Astronomy has a long history of acquiring, systematizing, and interpreting large quantities of data. Starting from the earliest sky atlases through the first major photographic sky surveys of the 20th century, this tradition is continuing today, and at an ever increasing rate. Like many other fields, astronomy has become a very data-rich science, driven by the advances in telescope, detector, and computer technology. Numerous large digital sky surveys and archives already exist, with information content measured in multiple Terabytes, and even larger, multi-Petabyte data sets are on the horizon. Systematic observations of the sky, over a range of wavelengths, are becoming the primary source of astronomical data. Numerical simulations are also producing comparable volumes of information. Data mining promises to both make the scientific utilization of these data sets more effective and more complete, and to open completely new avenues of astronomical research. Technological problems range from the issues of dat...

  14. PoroTomo Subtask 3.5 GPS Data Analysis - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License Creative Commons Attribution 4.0 Open Data Author University of...

  15. Porotomo Subtask 3.4 Raw Data - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License Creative Commons Attribution 4.0 Open Data Author University of...

  16. Statistics Overall Statistics

    E-Print Network [OSTI]

    Czarnecki, Krzysztof

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

  17. Statistical Sciences

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

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

  18. Statistical Laboratory & Department of Statistics

    E-Print Network [OSTI]

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

  19. Wind Integration Datasets from the National Renewable Energy Laboratory (NREL)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Wind Integration Datasets provide time-series wind data for 2004, 2005, and 2006. They are intended to be used by energy professionals such as transmission planners, utility planners, project developers, and university researchers, helping them to perform comparisons of sites and estimate power production from hypothetical wind plants. NREL cautions that the information from modeled data may not match wind resource information shown on NREL;s state wind maps as they were created for different purposes and using different methodologies.

  20. Visualization Fusion: Hurricane Isabel Dataset Naeem Shareef

    E-Print Network [OSTI]

    Crawfis, Roger

    Visualization Fusion: Hurricane Isabel Dataset Ming Jiang Naeem Shareef Caixia Zhang Roger Crawfis in developing visualization techniques for the Hurricane Isabel dataset is to engender better understand- ing of the underlying physical phenomenon. We want the visualization to produce novel insights into how a hurricane

  1. Minfer: Inferring Motif Statistics From Sampled Edges

    E-Print Network [OSTI]

    Wang, Pinghui; Towsley, Don

    2015-01-01T23:59:59.000Z

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

  2. COLLABORATIVE RESEARCH:USING ARM OBSERVATIONS & ADVANCED STATISTICAL TECHNIQUES TO EVALUATE CAM3 CLOUDS FOR DEVELOPMENT OF STOCHASTIC CLOUD-RADIATION

    SciTech Connect (OSTI)

    Somerville, Richard

    2013-08-22T23:59:59.000Z

    The long-range goal of several past and current projects in our DOE-supported research has been the development of new and improved parameterizations of cloud-radiation effects and related processes, using ARM data, and the implementation and testing of these parameterizations in global models. The main objective of the present project being reported on here has been to develop and apply advanced statistical techniques, including Bayesian posterior estimates, to diagnose and evaluate features of both observed and simulated clouds. The research carried out under this project has been novel in two important ways. The first is that it is a key step in the development of practical stochastic cloud-radiation parameterizations, a new category of parameterizations that offers great promise for overcoming many shortcomings of conventional schemes. The second is that this work has brought powerful new tools to bear on the problem, because it has been a collaboration between a meteorologist with long experience in ARM research (Somerville) and a mathematician who is an expert on a class of advanced statistical techniques that are well-suited for diagnosing model cloud simulations using ARM observations (Shen).

  3. 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

  4. 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

  5. 32. Statistics 1 32. STATISTICS

    E-Print Network [OSTI]

    Masci, Frank

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

  6. Statistical Laboratory & Department of Statistics

    E-Print Network [OSTI]

    by the American Statistical Association. Dean Isaacson and Mark Kaiser were instrumental in garnering a NationalStatistical Laboratory & Department of Statistics Annual Report July 1, 2002 to June 30, 2003 IOWA Chair of the Department of Statistics and Director of the Statistical Laboratory in November, 2002. Dean

  7. Thermal hydraulic limits analysis for the MIT Research Reactor low enrichment uranium core conversion using statistical propagation of parametric uncertainties

    E-Print Network [OSTI]

    Chiang, Keng-Yen

    2012-01-01T23:59:59.000Z

    The MIT Research Reactor (MITR) is evaluating the conversion from highly enriched uranium (HEU) to low enrichment uranium (LEU) fuel. In addition to the fuel element re-design from 15 to 18 plates per element, a reactor ...

  8. Gravity Survey of the Carson Sink - Data and Maps - Datasets...

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License Creative Commons Attribution 4.0 Open Data Author University of...

  9. A new bed elevation dataset for Greenland

    E-Print Network [OSTI]

    2013-01-01T23:59:59.000Z

    and bed data set for the Greenland ice sheet 1. Measure-bed elevation dataset for Greenland J. L. Bamber 1 , J. A.face mass balance of the Greenland ice sheet revealed by

  10. An After-Dinner Taste of My Research for Nonstatisticians Department of Statistics, Texas A&M University

    E-Print Network [OSTI]

    · Introduction to fish data and scatterplots · Scatterplot smoothing · The bootstrap · Hypothesis testing An After-Dinner Taste of My Research for Nonstatisticians ­ p.2 #12;Some fish data · I once helped an animal scientist in analyzing some data collected from fish. · Study was concerned with a comparison

  11. Evaluating socio-economic state of a country analyzing airtime credit and mobile phone datasets

    E-Print Network [OSTI]

    Gutierrez, Thoralf; Blondel, Vincent D

    2013-01-01T23:59:59.000Z

    Reliable statistical information is important to make political decisions on a sound basis and to help measure the impact of policies. Unfortunately, statistics offices in developing countries have scarce resources and statistical censuses are therefore conducted sporadically. Based on mobile phone communications and history of airtime credit purchases, we estimate the relative income of individuals, the diversity and inequality of income, and an indicator for socioeconomic segregation for fine-grained regions of an African country. Our study shows how to use mobile phone datasets as a starting point to understand the socio-economic state of a country, which can be especially useful in countries with few resources to conduct large surveys.

  12. U.S. Life Cycle Inventory Database Dataset Additions -Type / Category Dataset Name

    E-Print Network [OSTI]

    U.S. Life Cycle Inventory Database Dataset Additions - Type / Category Dataset Name Chemical Manufacturing Polylactide Biopolymer Resin, at plant Chemical Manufacturing Recycled Postconsumer HDPE Pellet) Chemical Manufacturing Soy biodiesel, production, at plant Soy oil, refined, at plant Soy-based polyol

  13. MATCH: Metadata Access Tool for Climate and Health Datasets

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    MATCH is a searchable clearinghouse of publicly available Federal metadata (i.e. data about data) and links to datasets. Most metadata on MATCH pertain to geospatial data sets ranging from local to global scales. The goals of MATCH are to: 1) Provide an easily accessible clearinghouse of relevant Federal metadata on climate and health that will increase efficiency in solving research problems; 2) Promote application of research and information to understand, mitigate, and adapt to the health effects of climate change; 3) Facilitate multidirectional communication among interested stakeholders to inform and shape Federal research directions; 4) Encourage collaboration among traditional and non-traditional partners in development of new initiatives to address emerging climate and health issues. [copied from http://match.globalchange.gov/geoportal/catalog/content/about.page

  14. 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

  15. 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

  16. NREL EFM DATA: Disaggregated Residential Load Cost Data - Datasets...

    Open Energy Info (EERE)

    Open Data Catalog Dataset Activity Stream NREL EFM DATA: Disaggregated Residential Load Cost Data The following data-set is for a benchmark residential home for all TMY3 locations...

  17. Evidence of $q$-exponential statistics in Greek seismicity

    E-Print Network [OSTI]

    Chris G. Antonopoulos; George Michas; Filippos Vallianatos; Tassos Bountis

    2014-05-17T23:59:59.000Z

    We study the seismicity (global seismic activity) that occurred in Greece between 1976 and 2009 based on the dataset reported in Makropoulos et al., 2012, using concepts of Non-extensive Statistical Physics. By considering the entire and declustered datasets, for which the aftershocks have been removed, we initially investigate the frequency-magnitude distribution and find that both datasets are well approximated by a physical model derived in the framework of Non-extensive Statistical Physics. We then carry out a study of the distribution of interevent times of seismic events for different magnitude thresholds and discover that the data are well approximated by a statistical distribution of the $q$-exponential type that allows us to compute analytically the hazard function of earthquake production. Our analysis thus reveals further evidence that the underlying dynamical process of earthquake birth reflects a kind of nonlinear memory due to long-term persistence of seismic events.

  18. Biofuel Enduse Datasets from the Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]

    Holdings include datasets, models, and maps. This is a very new resource, but the collections will grow due to both DOE contributions and individualsÆ data uploads. Currently the Biofuel Enduse collection includes 133 items. Most of these are categorized as literature, but 36 are listed as datasets and ten as models.

  19. C. Shane Reese Department of Statistics

    E-Print Network [OSTI]

    Reese, Shane

    of Statistics Honored Faculty Member 2001 Journal of the American Statistical Association Applications and Case, SRCOS/ASA Research Conference A#liations American Statistical Association, Biometric Society (WNAR), IMS­present Associate Editor, Journal of the American Statistical Association 2006­2008 Vice­chair, ASA

  20. Feedstock Production Datasets from the Bioenergy Knowledge Discovery Framework

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about] Holdings include datasets, models, and maps and the collections are growing due to both DOE contributions and data uploads from individuals.

  1. Biofuel Distribution Datasets from the Bioenergy Knowledge Discovery Framework

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about] Holdings include datasets, models, and maps and the collections are growing due to both DOE contributions and individuals' data uploads.

  2. Biofuel Production Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]

    Holdings include datasets, models, and maps and the collections arel growing due to both DOE contributions and data uploads from individuals.

  3. Feedstock Logistics Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. Holdings include datasets, models, and maps. [from https://www.bioenergykdf.net/content/about

  4. Form:Dataset | Open Energy Information

    Open Energy Info (EERE)

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489Information HydroFontana,dataset name below to add to the

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

    E-Print Network [OSTI]

    Olsen Jr., Dan R.

    of Statistics For students entering the degree program during the 2014­2015 curricular year. UNIVERSITY CORE Introduction to R Programming Stat 124 SAS Base Programming Skills Stat 223 Applied R Programming Stat 224 for Modeling Stat 497R Introduction to Statistical Research Stat 500 Business Career Essentials Stat 538

  6. Four Faculty Positions Applied Statistics & Computational Statistics

    E-Print Network [OSTI]

    Shepp, Larry

    Four Faculty Positions Applied Statistics & Computational Statistics The Department of Statistics at the Assistant Professor rank. Two positions are open in the area of Applied Statistics, with a focus on the development of statistical methodology and statistical consulting. The other two positions are open

  7. Assessing Spatial and Attribute Errors of Input Data in Large National Datasets for use in Population Distribution Models

    SciTech Connect (OSTI)

    Patterson, Lauren A [ORNL; Urban, Marie L [ORNL; Myers, Aaron T [ORNL; Bhaduri, Budhendra L [ORNL; Bright, Eddie A [ORNL; Coleman, Phil R [ORNL

    2007-01-01T23:59:59.000Z

    Geospatial technologies and digital data have developed and disseminated rapidly in conjunction with increasing computing performance and internet availability. The ability to store and transmit large datasets has encouraged the development of national datasets in geospatial format. National datasets are used by numerous agencies for analysis and modeling purposes because these datasets are standardized, and are considered to be of acceptable accuracy. At Oak Ridge National Laboratory, a national population model incorporating multiple ancillary variables was developed and one of the inputs required is a school database. This paper examines inaccuracies present within two national school datasets, TeleAtlas North America (TANA) and National Center of Education Statistics (NCES). Schools are an important component of the population model, because they serve as locations containing dense clusters of vulnerable populations. It is therefore essential to validate the quality of the school input data, which was made possible by increasing national coverage of high resolution imagery. Schools were also chosen since a 'real-world' representation of K-12 schools for the Philadelphia School District was produced; thereby enabling 'ground-truthing' of the national datasets. Analyses found the national datasets not standardized and incomplete, containing 76 to 90% of existing schools. The temporal accuracy of enrollment values of updating national datasets resulted in 89% inaccuracy to match 2003 data. Spatial rectification was required for 87% of the NCES points, of which 58% of the errors were attributed to the geocoding process. Lastly, it was found that by combining the two national datasets together, the resultant dataset provided a more useful and accurate solution. Acknowledgment Prepared by Oak Ridge National Laboratory, P.O. Box 2008, Oak Ridge, Tennessee 37831-6285, managed by UT-Battelle, LLC for the U. S. Department of Energy undercontract no. DEAC05-00OR22725. Copyright This manuscript has been authored by employees of UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the U.S. Department of Energy. Accordingly, the United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.

  8. World Net Nuclear Electric Power Generation, 1980-2007 - Datasets...

    Open Energy Info (EERE)

    U.S. Energy Information ... World Net Nuclear Electric ... Dataset Activity Stream World Net Nuclear Electric Power Generation, 1980-2007 International data showing world net...

  9. Framework for Interactive Parallel Dataset Analysis on the Grid

    SciTech Connect (OSTI)

    Alexander, David A.; Ananthan, Balamurali; /Tech-X Corp.; Johnson, Tony; Serbo, Victor; /SLAC

    2007-01-10T23:59:59.000Z

    We present a framework for use at a typical Grid site to facilitate custom interactive parallel dataset analysis targeting terabyte-scale datasets of the type typically produced by large multi-institutional science experiments. We summarize the needs for interactive analysis and show a prototype solution that satisfies those needs. The solution consists of desktop client tool and a set of Web Services that allow scientists to sign onto a Grid site, compose analysis script code to carry out physics analysis on datasets, distribute the code and datasets to worker nodes, collect the results back to the client, and to construct professional-quality visualizations of the results.

  10. Statistical Sciences

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary900 SpecialNanoparticulateEmissions Targetson6 Statistical

  11. Spike statistics

    E-Print Network [OSTI]

    J. Mark Heinzle; Claes Uggla

    2012-12-21T23:59:59.000Z

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

  12. Wellbore Integrity Assurance with NETL's Safe Cementing Research

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

    NETL's industrial CT scanner to provide related high-resolution, 3D image datasets of bubble size distribution measured under pressure. Ultimately, this research will provide...

  13. 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

  14. 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

  15. Purdue Agriculture Annual Statistical Report

    E-Print Network [OSTI]

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

  16. Generalizations of quantum statistics

    E-Print Network [OSTI]

    O. W. Greenberg

    2008-05-02T23:59:59.000Z

    We review generalizations of quantum statistics, including parabose, parafermi, and quon statistics, but not including anyon statistics, which is special to two dimensions.

  17. Research

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand Requirements Recently ApprovedReliabilityPrincipal Investigators PostdoctoralResearch

  18. PoroTomo Subtask 3.4 Analysis of existing InSAR data - Datasets...

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License Creative Commons Attribution 4.0 Open Data Author University of...

  19. NREL EFM DATA: Disaggregated Residential Load Cost Data - Datasets...

    Open Energy Info (EERE)

    NREL EFM DATA: Disaggregated Residential Load Cost Data The following data-set is for a benchmark residential home for all TMY3 locations across all utilities in the US. The data...

  20. Development of Regional Wind Resource and Wind Plant Output Datasets...

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

    50-47676 March 2010 Development of Regional Wind Resource and Wind Plant Output Datasets Final Subcontract Report 15 October 2007 - 15 March 2009 3TIER Seattle, Washington National...

  1. State Energy Data System (SEDS) Complete Dataset through 2009...

    Open Energy Info (EERE)

    State Energy Data System (SEDS) Complete Dataset through 2009 The State Energy Data System (SEDS) is compiled by the U.S. Energy Information Administration's (EIA); it is a...

  2. Determining Mountaintop Mining Locations in West Virginia Using Elevation Datasets

    E-Print Network [OSTI]

    Rowland, Danny

    2009-11-18T23:59:59.000Z

    Determining Mountaintop Mining Locations in West Virginia Using Elevation Datasets Danny Rowland Haskell Indian Nations University Image from: http://www.colorado.edu/geography/cartpro/cartography2/spring2006/syphers.../projects/westvirginia/whatis.htm Image from: http://washingtonindependent.com/49008/congress-takes-on-mountaintop-mining Mountaintop Mining Operation 2 Elevation datasets: NED & SRTM West Virginia NED SRTM Elevation Change Over ~30 Year Period 20021970’s SRTM Subtracted from...

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

    E-Print Network [OSTI]

    McLachlan, Geoff

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

  4. 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

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

    E-Print Network [OSTI]

    Jiang, Huiqiang

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

  6. David S. Stoffer Department of Statistics [412] 624-8496

    E-Print Network [OSTI]

    , Denver, 2008. Fellow, American Statistical Association, 2006. Recipient of the American Statistical Association's Outstanding Statistical Application Award, 1989. Research award from the Earle C. Anthony FundDavid S. Stoffer Department of Statistics [412] 624-8496 University of Pittsburgh [412] 648

  7. 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

  8. 2002 Statistical Research Center for Complex Systems International Statistical Workshop

    E-Print Network [OSTI]

    Coleman, Rodney

    in September 2001, the largest insured loss was from Hurricane Andrew in 1992 which caused $16 billion of insurance payouts. In 1999, supercomputers were able to successfully predict the path of Hurricane Lenny

  9. Bayesian evidence as a tool for comparing datasets

    E-Print Network [OSTI]

    Phil Marshall; Nutan Rajguru; Anze Slosar

    2007-10-30T23:59:59.000Z

    We introduce a new conservative test for quantifying the consistency of two or more datasets. The test is based on the Bayesian answer to the question, ``How much more probable is it that all my data were generated from the same model system than if each dataset were generated from an independent set of model parameters?''. We make explicit the connection between evidence ratios and the differences in peak chi-squared values, the latter of which are more widely used and more cheaply calculated. Calculating evidence ratios for three cosmological datasets (recent CMB data (WMAP, ACBAR, CBI, VSA), SDSS and the most recent SNe Type 1A data) we find that concordance is favoured and the tightening of constraints on cosmological parameters is indeed justified.

  10. Statistical estimation of water distribution system pipe break risk

    E-Print Network [OSTI]

    Yamijala, Shridhar

    2009-05-15T23:59:59.000Z

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

  11. The Wind Integration National Dataset (WIND) toolkit (Presentation)

    SciTech Connect (OSTI)

    Caroline Draxl: NREL

    2014-01-01T23:59:59.000Z

    Regional wind integration studies require detailed wind power output data at many locations to perform simulations of how the power system will operate under high penetration scenarios. The wind datasets that serve as inputs into the study must realistically reflect the ramping characteristics, spatial and temporal correlations, and capacity factors of the simulated wind plants, as well as being time synchronized with available load profiles.As described in this presentation, the WIND Toolkit fulfills these requirements by providing a state-of-the-art national (US) wind resource, power production and forecast dataset.

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

    E-Print Network [OSTI]

    Martin Kerscher

    1999-12-15T23:59:59.000Z

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

  13. Multimedia Statistical Labs & Toolkit (TILE) Deborah Nolan

    E-Print Network [OSTI]

    Nolan, Deborah

    Multimedia Statistical Labs & Toolkit (TILE) Deborah Nolan University of California, Department@research.bell-labs.com 1. Introduction The potential for multimedia to enhance the statistics curriculum is clear, but how to develop instructional materials that take advantage of the riches that multimedia has to offer

  14. Empirical Comparison of Statistical Pavement Performance Models

    E-Print Network [OSTI]

    sections from the American Association of State Highway Officials AASHO Road Test Highway Research BoardEmpirical Comparison of Statistical Pavement Performance Models Chih-Yuan Chu1 and Pablo L. Durango-Cohen2 Abstract: We conduct an empirical comparison of nine representative statistical pavement

  15. 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

  16. Custom data support for the FAst -physics System Testbed and Research (FASTER) Project

    SciTech Connect (OSTI)

    Toto, T.; Jensen, M.; Vogelmann, A.; Wagener, R.; Liu, Y.; Lin, W.

    2010-03-15T23:59:59.000Z

    The multi-institution FAst -physics System Testbed and Research (FASTER) project, funded by the DOE Earth System Modeling program, aims to evaluate and improve the parameterizations of fast processes (those involving clouds, precipitation and aerosols) in global climate models, using a combination of numerical prediction models, single column models, cloud resolving models, large-eddy simulations, full global climate model output and ARM active and passive remote sensing and in-situ data. This poster presents the Custom Data Support effort for the FASTER project. The effort will provide tailored datasets, statistics, best estimates and quality control data, as needed and defined by FASTER participants, for use in evaluating and improving parameterizations of fast processes in GCMs. The data support will include custom gridding and averaging, for the model of interest, using high time resolution and pixel level data from continuous ARM observations and complementary datasets. In addition to the FASTER team, these datasets will be made available to the ARM Science Team. Initial efforts with respect to data product development, priorities, availability and distribution are summarized here with an emphasis on cloud, atmospheric state and aerosol properties as observed during the Spring 2000 Cloud IOP and the Spring 2003 Aerosol IOP at the ARM Southern Great Plains site.

  17. DECOMPOSITION OF MULTIVARIATE DATASETS WITH STRUCTURE/ORDERING

    E-Print Network [OSTI]

    analysis. However, contrary to Fourier decomposition these new variables are located in frequency as well as location (space, time, wavelength etc). 1 Introduction The maximum autocorrelation factor (MAF) analysisDECOMPOSITION OF MULTIVARIATE DATASETS WITH STRUCTURE/ORDERING OF OBSERVATIONS OR VARIABLES USING

  18. Eastern Renewable Generation Integration Study Solar Dataset (Presentation)

    SciTech Connect (OSTI)

    Hummon, M.

    2014-04-01T23:59:59.000Z

    The National Renewable Energy Laboratory produced solar power production data for the Eastern Renewable Generation Integration Study (ERGIS) including "real time" 5-minute interval data, "four hour ahead forecast" 60-minute interval data, and "day-ahead forecast" 60-minute interval data for the year 2006. This presentation provides a brief overview of the three solar power datasets.

  19. A Multivariate Probabilistic Method for Comparing Two Clinical Datasets

    E-Print Network [OSTI]

    Hauskrecht, Milos

    A Multivariate Probabilistic Method for Comparing Two Clinical Datasets Yuriy Sverchkov yus24@pitt a concise and math- ematically grounded description of multivariate differences between a pair of clinical (ICUs), or within the same ICU during different periods, may show systematically different outcomes

  20. Introduction to statistical models and non-extensive statistics

    E-Print Network [OSTI]

    T. S. Biro

    2005-07-27T23:59:59.000Z

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

  1. Organic aerosol components observed in Northern Hemispheric datasets from Aerosol Mass Spectrometry

    E-Print Network [OSTI]

    Kroll, Jesse

    In this study we compile and present results from the factor analysis of 43 Aerosol Mass Spectrometer (AMS) datasets (27 of the datasets are reanalyzed in this work). The components from all sites, when taken together, ...

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

    E-Print Network [OSTI]

    Harraway, John A

    2012-01-01T23:59:59.000Z

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

  3. Statistical Language Modelling 

    E-Print Network [OSTI]

    Gotoh, Yoshihiko; Renals, Steve

    2003-01-01T23:59:59.000Z

    the underlying models from large amounts of data. Importantly, such statistical approaches often produce useful results. Statistical approaches seem especially well-suited to spoken language which is often spontaneous or conversational and not readily amenable...

  4. 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 ...

  5. Pi in Statistics | GE Global Research

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeedingBiomassPPPOPetroleum ReservesThrust Areas Physics161 ThisPi

  6. DEVise: Integrated Querying and Visual Exploration of Large Datasets (DEMO ABSTRACT)

    E-Print Network [OSTI]

    Liblit, Ben

    DEVise: Integrated Querying and Visual Exploration of Large Datasets (DEMO ABSTRACT) M. Livny, R of large tabular datasets (possibly containing or referencing multi­ media objects) from several sources meta­data summarizing the entire dataset, to large subsets of the actual data, to individual data

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

    E-Print Network [OSTI]

    Fienberg, Stephen E.

    , Journal of the American Statistical Association, Journal of the Royal Statistical Society, StatisticalStatistics 36-756: Advanced Statistics II Syllabus: Fall, 2006 Instructor: Stephen E. Fienberg 132G: · To consider major topics from statistical theory and the foundations of inference not covered in Statistics 36

  8. Statistics Statistique Canada Canada

    E-Print Network [OSTI]

    Sinnamon, Gordon J.

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

  9. STATISTICAL COMPUTING AND GRAPHICS

    E-Print Network [OSTI]

    Masci, Frank

    Marron for a helpful comment. @ 1997 American Statistical Association bin width should be chosen soSTATISTICAL COMPUTING AND GRAPHICS Data-Based Choice of Histogram Bin Width The most important of the "optimal" bin width. Default bin widths in most common statistical packages are, at least for large samples

  10. CURRICULUM VITAE: Christopher John SKINNER Contact details Department of Statistics, London School of Economics

    E-Print Network [OSTI]

    1990 Fullbright Senior Research Scholar 1994 Fellow, American Statistical Association 2001 Ordinary, Institute of Fiscal Studies. 2011-12 Associate Member, Southampton Statistical Sciences Research Institute of the Royal Statistical Society, Series B 1993-97 Associate Editor, Journal of the Royal Statistical Society

  11. Statistical Convergence and Convergence in Statistics

    E-Print Network [OSTI]

    Mark Burgin; Oktay Duman

    2006-12-07T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Olsen Jr., Dan R.

    121. Complete the following statistics core courses: Stat 123 Introduction to R Programming Stat 124 SAS Base Programming Skills Stat 223 Applied R Programming Stat 224 Applied SAS Programming Stat 230 to Reliability Stat 469 Applied Time Series & Forecasting Stat 497R Introduction to Statistical Research Stat 538

  13. Explicit Expressions for Moments of Log Normal Order Statistics

    E-Print Network [OSTI]

    Sidorov, Nikita

    Explicit Expressions for Moments of Log Normal Order Statistics Saralees Nadarajah First version: 31 December 2006 Research Report No. 23, 2006, Probability and Statistics Group School of Mathematics, The University of Manchester #12;Explicit Expressions for Moments of Log Normal Order Statistics by Saralees

  14. The R environment for statistical computing and Douglas Nychka,

    E-Print Network [OSTI]

    Nychka, Douglas

    The R environment for statistical computing and graphics. Douglas Nychka, Emaj · Some History by the National Science Foundation DMS #12;Some History The S language was developed in the Bell labs statistics. Currently R is the primary tool for most research in statistics and is also used extensively for data

  15. Filtergraph: An Interactive Web Application for Visualization of Astronomy Datasets

    E-Print Network [OSTI]

    Burger, Dan; Pepper, Joshua; Siverd, Robert J; Paegert, Martin; De Lee, Nathan M

    2013-01-01T23:59:59.000Z

    Filtergraph is a web application being developed and maintained by the Vanderbilt Initiative in Data-intensive Astrophysics (VIDA) to flexibly and rapidly visualize a large variety of astronomy datasets of various formats and sizes. The user loads a flat-file dataset into Filtergraph which automatically generates an interactive data portal that can be easily shared with others. From this portal, the user can immediately generate scatter plots of up to 5 dimensions as well as histograms and tables based on the dataset. Key features of the portal include intuitive controls with auto-completed variable names, the ability to filter the data in real time through user-specified criteria, the ability to select data by dragging on the screen, and the ability to perform arithmetic operations on the data in real time. To enable seamless data visualization and exploration, changes are quickly rendered on screen and visualizations can be exported as high quality graphics files. The application is optimized for speed in t...

  16. Parton distributions based on a maximally consistent dataset

    E-Print Network [OSTI]

    Juan Rojo

    2014-09-10T23:59:59.000Z

    The choice of data that enters a global QCD analysis can have a substantial impact on the resulting parton distributions and their predictions for collider observables. One of the main reasons for this has to do with the possible presence of inconsistencies, either internal within an experiment or external between different experiments. In order to assess the robustness of the global fit, different definitions of a conservative PDF set, that is, a PDF set based on a maximally consistent dataset, have been introduced. However, these approaches are typically affected by theory biases in the selection of the dataset. In this contribution, after a brief overview of recent NNPDF developments, we propose a new, fully objective, definition of a conservative PDF set, based on the Bayesian reweighting approach. Using the new NNPDF3.0 framework, we produce various conservative sets, which turn out to be mutually in agreement within the respective PDF uncertainties, as well as with the global fit. We explore some of their implications for LHC phenomenology, finding also good consistency with the global fit result. These results provide a non-trivial validation test of the new NNPDF3.0 fitting methodology, and indicate that possible inconsistencies in the fitted dataset do not affect substantially the global fit PDFs.

  17. Web sites related to Health Education and Training and Statistics Web sites related to Health Education and Training and Statistics

    E-Print Network [OSTI]

    de Lijser, Peter

    Web sites related to Health Education and Training and Statistics Web sites related to Health Education and Training and Statistics Agency for Healthcare Research and Quality http and Territorial http://www.astho.org/ California Dept. of Health Services-Vital Statistics Data Tables http://www

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

    E-Print Network [OSTI]

    Olsen Jr., Dan R.

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

  19. 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

  20. 9 June 2014 UMKC Department of Mathematics and Statistics 131 Master's Degrees Winter 1963-Spring 2012 Mostly from UMKC Institutional Research (IR), with some additions where early data was lacking, marked with *.

    E-Print Network [OSTI]

    Delaware, Richard - Department of Mathematics and Statistics, University of Missouri

    -Hodaly MA Mathematics 1996 Michael James MS Mathematics 1996 Ali Isik MS Mathematics 1997 Hamed Al-Sulami MA Mathematics 1997 Ali Al-Alwan MS Mathematics 1999 Licia Crawford MS Mathematics 1999 Douglas Williams MS MA Mathematics & Statistics 2005 Karen Richard MS Mathematics & Statistics 2005 Paige Darby MS

  1. 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

  2. Practical Statistical Thinking Probability: The Language of Statistics

    E-Print Network [OSTI]

    Practical Statistical Thinking Probability: The Language of Statistics Essentials of Statistics and Probability Dhruv Sharma May 22, 2007 Department of Statistics, NC State University dbsharma@ncsu.edu SAMSI Undergrad Workshop Dhruv Sharma Essentials of Statistics and Probability #12;Practical Statistical Thinking

  3. Part I STATISTICAL PHYSICS 1 Statistical Physics

    E-Print Network [OSTI]

    unknown authors

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

  4. Part I STATISTICAL PHYSICS 1 Statistical Physics

    E-Print Network [OSTI]

    unknown authors

    2004-01-01T23:59:59.000Z

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

  5. Part I STATISTICAL PHYSICS 1 Statistical Physics

    E-Print Network [OSTI]

    unknown authors

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

  6. R for Statistics Rafal Kulik

    E-Print Network [OSTI]

    Kulik, Rafal

    R for Statistics Rafal Kulik Department of Mathematics and Statistics University of Ottawa Statistical Society of Ottawa 23 September 2011 Rafal Kulik #12;R for Statistics SSO meeting Plan Rafal Kulik 1 #12;R for Statistics SSO meeting Plan What is R? Rafal Kulik 1 #12;R for Statistics SSO meeting

  7. Stellar Evolution A Statistical Model

    E-Print Network [OSTI]

    van Dyk, David

    Stellar Evolution A Statistical Model Statistical Computation Analysis of the Hyades Cluster Statistical Analysis of Stellar Evolution David A. van Dyk1 Steven DeGennaro2 Nathan Stein2 William H Statistical Analysis of Stellar Evolution #12;Stellar Evolution A Statistical Model Statistical Computation

  8. Fact #858 February 2, 2015 Retail Gasoline Prices in 2014 Experienced the Largest Decline since 2008 – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Retail Gasoline Prices in 2014 Experienced the Largest Decline since 2008

  9. Constructing Collaborative Desktop Storage Caches for Large Scientific Datasets

    SciTech Connect (OSTI)

    Vazhkudai, Sudharshan S [ORNL; Ma, Xiaosong [ORNL; Freeh, Vincent W [ORNL; Strickland, Jonathan W [ORNL; Tammineedi, Nandan [ORNL; Simon, Tyler A [ORNL; Scott, Stephen L [ORNL

    2006-08-01T23:59:59.000Z

    High-end computing is suffering a data deluge from experiments, simulations, and apparatus that creates overwhelming application dataset sizes. This has led to the proliferation of high-end mass storage systems, storage area clusters, and data centers. These storage facilities offer a large range of choices in terms of capacity and access rate, as well as strong data availability and consistency support. However, for most end-users, the "last mile" in their analysis pipeline often requires data processing and visualization at local computers, typically local desktop workstations. End-user workstations-despite having more processing power than ever before-are ill-equipped to cope with such data demands due to insufficient secondary storage space and I/O rates. Meanwhile, a large portion of desktop storage is unused. We propose the FreeLoader framework, which aggregates unused desktop storage space and I/O bandwidth into a shared cache/scratch space, for hosting large, immutable datasets and exploiting data access locality. This article presents the FreeLoader architecture, component design, and performance results based on our proof-of-concept prototype. Its architecture comprises contributing benefactor nodes, steered by a management layer, providing services such as data integrity, high performance, load balancing, and impact control. Our experiments show that FreeLoader is an appealing low-cost solution to storing massive datasets by delivering higher data access ratesthan traditional storage facilities, namely, local or remote shared file systems, storage systems, and Internet data repositories. In particular, we present novel data striping techniques that allow FreeLoader to efficiently aggregate a workstation's network communication bandwidth and local I/O bandwidth. In addition, the performance impact on the native workload of donor machines is small and can be effectively controlled. Further, we show that security features such as data encryptions and integrity checks can be easily added as filters for interested clients. Finally, we demonstrate how legacy applications can use the FreeLoader API to store and retrieve datasets.

  10. Afghanistan Pakistan High Resolution Wind Resource - Datasets - OpenEI

    Open Energy Info (EERE)

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEE JumpAeroWind Inc. Place:AerospatialeAffton,Datasets

  11. Weakly sufficient quantum statistics

    E-Print Network [OSTI]

    Katarzyna Lubnauer; Andrzej ?uczak; Hanna Pods?dkowska

    2009-11-23T23:59:59.000Z

    Some aspects of weak sufficiency of quantum statistics are investigated. In particular, we give necessary and sufficient conditions for the existence of a weakly sufficient statistic for a given family of vector states, investigate the problem of its minimality, and find the relation between weak sufficiency and other notions of sufficiency employed so far.

  12. Statistical laws in linguistics

    E-Print Network [OSTI]

    Altmann, Eduardo G

    2015-01-01T23:59:59.000Z

    Zipf's law is just one out of many universal laws proposed to describe statistical regularities in language. Here we review and critically discuss how these laws can be statistically interpreted, fitted, and tested (falsified). The modern availability of large databases of written text allows for tests with an unprecedent statistical accuracy and also a characterization of the fluctuations around the typical behavior. We find that fluctuations are usually much larger than expected based on simplifying statistical assumptions (e.g., independence and lack of correlations between observations).These simplifications appear also in usual statistical tests so that the large fluctuations can be erroneously interpreted as a falsification of the law. Instead, here we argue that linguistic laws are only meaningful (falsifiable) if accompanied by a model for which the fluctuations can be computed (e.g., a generative model of the text). The large fluctuations we report show that the constraints imposed by linguistic laws...

  13. Applied Math & Statistics: Statistics Minor Curriculum Chart: 2013-2014

    E-Print Network [OSTI]

    Stuart, Josh

    Applied Math & Statistics: Statistics Minor Curriculum Chart: 2013-2014 http PSYC 181 CMPE 108 SOCY 103A CMPS 142 TIM 230 Information on the Statistics Minor The statistics minor as preparation for a graduate degree in statistics or biostatistics. Course Information With permission from

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

    E-Print Network [OSTI]

    Francis, Paul

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

  15. ComSIS Vol. 1, No. 1, February 2004 75 Network Models of Massive Datasets

    E-Print Network [OSTI]

    Butenko, Sergiy

    , biotechnology, medicine, finance, astrophysics, ecology, geographical information systems, etc. [2, 10 in data mining, which essentially represents partitioning the set of elements of a certain dataset

  16. Protein interaction network topology uncovers melanogenesis regulatory network components within functional genomics datasets

    E-Print Network [OSTI]

    Ho, Hsiang; Milenkovi?, Tijana; Memiševi?, Vesna; Aruri, Jayavani; Pržulj, Nataša; Ganesan, Anand K

    2010-01-01T23:59:59.000Z

    components within functional genomics datasets BMC SystemssiRNA-based functional genomics of pigmentation identifiesrelated functional genomics data. J R Soc Interface Motulsky

  17. Comparison of wind stress algorithms, datasets and oceanic power input

    E-Print Network [OSTI]

    Yuan, Shaoyu

    2009-01-01T23:59:59.000Z

    If the ocean is in a statistically steady state, energy balance is a strong constraint, suggesting that the energy input into the world ocean is dissipated simultaneously at the same rate. Energy conservation is one of the ...

  18. Topology for statistical modeling of petascale data.

    SciTech Connect (OSTI)

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

    2011-07-01T23:59:59.000Z

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

  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. Stellar Evolution A Statistical Model

    E-Print Network [OSTI]

    van Dyk, David

    Stellar Evolution A Statistical Model Statistical Computation Analysis of the Hyades Cluster Embedding Computer Models for Stellar Evolution into a Coherent Statistical Analysis David A. van Dyk1 Analysis of Stellar Evolution #12;Stellar Evolution A Statistical Model Statistical Computation Analysis

  1. School of Mathematics and Statistics

    E-Print Network [OSTI]

    Du, Jie

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

  2. Statistics applied to safeguards

    SciTech Connect (OSTI)

    Picard, R.R.

    1993-05-01T23:59:59.000Z

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

  3. Statistics applied to safeguards

    SciTech Connect (OSTI)

    Picard, R.R.

    1993-01-01T23:59:59.000Z

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

  4. Parallel Processing of Large Datasets from NanoLC-FTICR-MS Measurements

    E-Print Network [OSTI]

    van Nieuwpoort, Rob V.

    for these biomarkers Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) is a powerful tool becauseParallel Processing of Large Datasets from NanoLC-FTICR-MS Measurements Y. E. M. van der Burgt, I parallel processing of large mass spectral datasets in a distributed computing environment is demonstrated

  5. Comparing GPU Implementations of Bilateral and Anisotropic Diffusion Filters for 3D Biomedical Datasets

    SciTech Connect (OSTI)

    Howison, Mark

    2010-05-06T23:59:59.000Z

    We compare the performance of hand-tuned CUDA implementations of bilateral and anisotropic diffusion filters for denoising 3D MRI datasets. Our tests sweep comparable parameters for the two filters and measure total runtime, memory bandwidth, computational throughput, and mean squared errors relative to a noiseless reference dataset.

  6. Decentralized K-means using randomized Gossip protocols for clustering large datasets

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Decentralized K-means using randomized Gossip protocols for clustering large datasets Jerome Fellus datasets distributed over a network of computational units using a decentralized K-means algorithm with a centralized K-means, provided a bound on the number of messages each node has to send is met. We provide

  7. Introduction Research Interests

    E-Print Network [OSTI]

    Blais, Brian

    Resources Projects for Collaboration B. Blais (bblais@bryant.edu) Department of Science and Technology Bryant University Bryant-China University of Geosciences Joint Research - November 2007 B. Blais (bblais@bryant of the Brain Computer interfacing Bayesian Statistics B. Blais (bblais@bryant.edu) Statistics and Environmental

  8. Statistics and samples 1.1 What is statistics?

    E-Print Network [OSTI]

    Irwin, Darren

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

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

    E-Print Network [OSTI]

    Smyth, Gordon K.

    Pearson's Goodness of Fit Statistic as a Score Test Statistic Gordon K. Smyth Abstract For any generalized linear model, the Pearson goodness of fit statistic is the score test statistic for testing and the residual deviance is therefore the relationship between the score test and the likelihood ratio test

  10. Statistical Learning Theory of Protein Dynamics

    E-Print Network [OSTI]

    Haas, Kevin

    2013-01-01T23:59:59.000Z

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

  11. Mathematical and Statistical Opportunities in Cyber Security

    SciTech Connect (OSTI)

    Meza, Juan; Campbell, Scott; Bailey, David

    2009-03-23T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Weiss, Gary

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

  13. Statistics and Quantitative Risk Management for Banking and In-

    E-Print Network [OSTI]

    Embrechts, Paul

    Statistics and Quantitative Risk Management for Banking and In- surance Paul Embrechts Risk practice Abstract As an emerging field of applied research, Quantitative Risk Management (QRM) poses a lot management. Topics treated include the use of risk measures in regulation, including their statistical

  14. Mathematical and Statistical Opportunities in Cyber Security Scott Campbell

    E-Print Network [OSTI]

    Bailey, David H.

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

  15. Experimental Mathematics and Computational Statistics

    SciTech Connect (OSTI)

    Bailey, David H.; Borwein, Jonathan M.

    2009-04-30T23:59:59.000Z

    The field of statistics has long been noted for techniques to detect patterns and regularities in numerical data. In this article we explore connections between statistics and the emerging field of 'experimental mathematics'. These includes both applications of experimental mathematics in statistics, as well as statistical methods applied to computational mathematics.

  16. STATISTICS ESSENTIAL SKILL OUTCOME STATEMENTS

    E-Print Network [OSTI]

    Gering, Jon C.

    to statistical literacy. The American Statistical Association endorsed the Guidelines for AssessmentSB #3205 STATISTICS ESSENTIAL SKILL OUTCOME STATEMENTS Newly-Revised Version: A liberally educated person is capable of being both a producer and a consumer of statistical information with some basic

  17. General Indicators: Performance Statistics

    E-Print Network [OSTI]

    Webb, Peter

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

  18. General Indicators: Performance Statistics

    E-Print Network [OSTI]

    Webb, Peter

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

  19. General Indicators: Performance Statistics

    E-Print Network [OSTI]

    Webb, Peter

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

  20. Fact #871: May 4, 2015 Most Manufacturers Have Positive CAFE Credit Balances at the End of Model Year 2013 – Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Most Manufacturers Have Positive CAFE Credit Balances at the End of Model Year 2013

  1. Fact #834: August 18, 2014 About Two-Thirds of Transportation Energy Use is Gasoline for Light Vehicles – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #834: About Two-Thirds of Transportation Energy Use is Gasoline for Light Vehicles

  2. Fact #857 January 26, 2015 Number of Partner Workplaces Offering Electric Vehicle Charging More Than Tripled Since 2011 – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Number of Partner Workplaces Offering Electric Vehicle Charging More Than Tripled Since 2011

  3. Fact #837: September 8, 2014 Gap between Net Imports and Total Imports of Petroleum is Widening – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #837: Gap between Net Imports and Total Imports of Petroleum is Widening

  4. Fact #845: November 3, 2014 From 1970 to 2013 the Share of Older Vehicles in Operation has Increased – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #845: From 1970 to 2013 the Share of Older Vehicles in Operation has Increased

  5. Fact #844: October 27, 2014 Electricity Generated from Coal has Declined while Generation from Natural Gas has Grown – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #844: Electricity Generated from Coal has Declined while Generation from Natural Gas has Grown

  6. Fact #868: April 13, 2015 Automotive Technology Has Improved Performance and Fuel Economy of New Light Vehicles – Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Automotive Technology Has Improved Performance and Fuel Economy of New Light Vehicles

  7. HistFitter software framework for statistical data analysis

    E-Print Network [OSTI]

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

    2014-10-06T23:59:59.000Z

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

  8. Spatial Clustering of Galaxies in Large Datasets Alexander S. Szalay, Department of Physics and Astronomy, Johns Hopkins University

    E-Print Network [OSTI]

    Narasayya, Vivek

    surveys using the Karhunen-Loeve transform as a case study. These large, homogenous datasets are alsoSpatial Clustering of Galaxies in Large Datasets Alexander S. Szalay, Department of Physics Microsoft Way Redmond, WA 98052 #12;Spatial Clustering of Galaxies in Large Datasets Alexander S. Szalaya

  9. The solar rotation rate from inversion of the first GONG datasets T. Corbard 1 , G. Berthomieu 1 , J. Provost 1

    E-Print Network [OSTI]

    Corbard, Thierry

    The solar rotation rate from inversion of the first GONG datasets T. Corbard 1 , G. Berthomieu 1 gives some results obtained by inverting the first GONG datasets for the rotational splittings of the so called averaging kernels Ÿ(r 0 ; ¯ 0 ; r; ¯) defined in Corbard et al. (1996). 2. GONG datasets

  10. Agile manufacturing from a statistical perspective

    SciTech Connect (OSTI)

    Easterling, R.G. [Sandia National Labs., Albuquerque, NM (United States). New Initiatives Dept.

    1995-10-01T23:59:59.000Z

    The objective of agile manufacturing is to provide the ability to quickly realize high-quality, highly-customized, in-demand products at a cost commensurate with mass production. More broadly, agility in manufacturing, or any other endeavor, is defined as change-proficiency; the ability to thrive in an environment of unpredictable change. This report discusses the general direction of the agile manufacturing initiative, including research programs at the National Institute of Standards and Technology (NIST), the Department of Energy, and other government agencies, but focuses on agile manufacturing from a statistical perspective. The role of statistics can be important because agile manufacturing requires the collection and communication of process characterization and capability information, much of which will be data-based. The statistical community should initiate collaborative work in this important area.

  11. Equilibrium Response and Transient Dynamics Datasets from VEMAP: Vegetation/Ecosystem Modeling and Analysis Project

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Users of the VEMAP Portal can access input files of numerical data that include monthly and daily files of geographic data, soil and site files, scenario files, etc. Model results from Phase I, the Equilibrium Response datasets, are available through the NCAR anonymous FTP site at http://www.cgd.ucar.edu/vemap/vresults.html. Phase II, Transient Dynamics, include climate datasets, models results, and analysis tools. Many supplemental files are also available from the main data page at http://www.cgd.ucar.edu/vemap/datasets.html.

  12. 1979 DOE statistical symposium

    SciTech Connect (OSTI)

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

    1980-09-01T23:59:59.000Z

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

  13. Homotopy in statistical physics

    E-Print Network [OSTI]

    Ralph Kenna

    2006-04-12T23:59:59.000Z

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

  14. Bayesian Statistics Stochastic Simulation -Gibbs sampling

    E-Print Network [OSTI]

    Wright, Francis

    Bayesian Statistics Stochastic Simulation - Gibbs sampling Bayesian Statistics - an Introduction Dr Pettit Bayesian Statistics - an Introduction #12;Bayesian Statistics Stochastic Simulation - Gibbs sampling What is Bayesian Statistics? Bayes Theorem The Likelihood Principle Mixtures of conjugate priors

  15. C. Shane Reese Department of Statistics

    E-Print Network [OSTI]

    Reese, Shane

    , American Statistical Association 2012 Melvin W. Carter Professorship 2010 Karl G. Maeser Excellence.) 2010 American Statistical Association Excellence in Statistics in Sports Award 2008 Howard Christensen Department of Statistics Honored Faculty Member 2001 Journal of the American Statistical Association

  16. New ORNL, N.C. State, LanzaTech DNA dataset is potent, accessible...

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

    Ron Walli Communications 865.576.0226 New ORNL, N.C. State, LanzaTech DNA dataset is potent, accessible tool Dawn Klingeman of Oak Ridge National Laboratory's Biosciences Division...

  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. INDIAN STATISTICAL INSTITUTE Annual Report

    E-Print Network [OSTI]

    Bandyopadhyay, Antar

    Division 8 Stat-Math Unit (SMU), Kolkata 8 Stat-Math Unit (SMU), Delhi 11 Stat-Math Unit (SMU), Bangalore Stat-Math Unit (SMU), Chennai 14 16 Applied Statistics Division 17 Applied Statistics Unit (ASU

  19. Statistical Performance Modeling of SRAMs

    E-Print Network [OSTI]

    Zhao, Chang

    2011-02-22T23:59:59.000Z

    to their characteristic of low failure rate, while statistical method of yield sensitivity analysis is meaningful for its high efficiency. This thesis proposes a novel statistical model to conduct yield sensitivity prediction on SRAM cells at the simulation level, which...

  20. STATISTICAL MECHANICS AND FIELD THEORY

    E-Print Network [OSTI]

    Samuel, S.A.

    2010-01-01T23:59:59.000Z

    York. K. Bardakci, Field Theory for Solitons, II, BerkeleyFart I Applications of Field Theory Methods to StatisticalStatistical Mechanics to Field Theory Chapter IV The Grand

  1. An Application of Multivariate Statistical Analysis for Query-Driven Visualization

    SciTech Connect (OSTI)

    Gosink, Luke J.; Garth, Christoph; Anderson, John C.; Bethel, E. Wes; Joy, Kenneth I.

    2010-03-01T23:59:59.000Z

    Abstract?Driven by the ability to generate ever-larger, increasingly complex data, there is an urgent need in the scientific community for scalable analysis methods that can rapidly identify salient trends in scientific data. Query-Driven Visualization (QDV) strategies are among the small subset of techniques that can address both large and highly complex datasets. This paper extends the utility of QDV strategies with a statistics-based framework that integrates non-parametric distribution estimation techniques with a new segmentation strategy to visually identify statistically significant trends and features within the solution space of a query. In this framework, query distribution estimates help users to interactively explore their query's solution and visually identify the regions where the combined behavior of constrained variables is most important, statistically, to their inquiry. Our new segmentation strategy extends the distribution estimation analysis by visually conveying the individual importance of each variable to these regions of high statistical significance. We demonstrate the analysis benefits these two strategies provide and show how they may be used to facilitate the refinement of constraints over variables expressed in a user's query. We apply our method to datasets from two different scientific domains to demonstrate its broad applicability.

  2. Business Statistics 207 Summer, 2013

    E-Print Network [OSTI]

    Barrash, Warren

    Business Statistics 207 Summer, 2013 Instructor: Phil Fry Office: MBEB 3249 e-mail: pfry) & by Appointment Textbook: Business Statistics: A Decision-Making Approach, 8th ed. by Groebner, Shannon, Fry: This is the first semester of a two semester course in business statistics. The objective of BUSSTAT 207

  3. Fertilizer Statistics for Texas.

    E-Print Network [OSTI]

    Fraps, G. S. (George Stronach)

    1927-01-01T23:59:59.000Z

    ) H. B. PARKS, B. S.. Apiculturist in Charge A. H. ALEX, B. S.. Queen Breeder FEED CONTROL SERVICE: F. D. FULLER, M. S.. Chief S. D. PEARCE, Secretary J. 13. ROGERS, Feed Inspector W. H. WOOD. Feed Inspector K. L KIRKLAND B S Feed Inspector W... and for selected counties. Estimated prices of plant food are given. The sales of fer- tilizer in the spring are partly related to the price of cotton in the preceding fall and winter. This is shown by statistical methods. CONTENTS ,. A . . . . ,., l...

  4. Independent Statistics & Analysis

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688ElectricityLessApril 2015 Independent Statistics &

  5. FY 2009 Statistical Table

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic Plan| Department of.pdf6-OPAMDepartment6 FY 2007 FY 2008State TablesStatistical

  6. ARM - Historical Visitor Statistics

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006Datastreamstwrcam40m DocumentationJanuary 9, 2009 [Events, FeatureListGeneral ChangesFieldVisitor Statistics

  7. PDSF Cluster Statistics

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)IntegratedSpeeding access toTest andOptimize832 2.860 2.864 2.867039 J -Statistics

  8. Long-term Observations of the Convective Boundary Layer Using Insect Radar Returns at the SGP ARM Climate Research Facility

    SciTech Connect (OSTI)

    Chandra, A S; Kollias, P; Giangrande, S E; Klein, S A

    2009-08-20T23:59:59.000Z

    A long-term study of the turbulent structure of the convective boundary layer (CBL) at the U.S. Department of Energy Atmospheric Radiation Measurement Program (ARM) Southern Great Plains (SGP) Climate Research Facility is presented. Doppler velocity measurements from insects occupying the lowest 2 km of the boundary layer during summer months are used to map the vertical velocity component in the CBL. The observations cover four summer periods (2004-08) and are classified into cloudy and clear boundary layer conditions. Profiles of vertical velocity variance, skewness, and mass flux are estimated to study the daytime evolution of the convective boundary layer during these conditions. A conditional sampling method is applied to the original Doppler velocity dataset to extract coherent vertical velocity structures and to examine plume dimension and contribution to the turbulent transport. Overall, the derived turbulent statistics are consistent with previous aircraft and lidar observations. The observations provide unique insight into the daytime evolution of the convective boundary layer and the role of increased cloudiness in the turbulent budget of the subcloud layer. Coherent structures (plumes-thermals) are found to be responsible for more than 80% of the total turbulent transport resolved by the cloud radar system. The extended dataset is suitable for evaluating boundary layer parameterizations and testing large-eddy simulations (LESs) for a variety of surface and cloud conditions.

  9. APS Operational Statistics

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

    and applied research in materials science, biology and medicine, chemistry, physics, geology, and environmental science. The APS was built by the U.S. Department of Energy as a...

  10. SIR GILBERT WALKER AND A CONNECTION BETWEEN EL NIO AND STATISTICS: FROM "TYPICAL CAMBRIDGE DON" TO

    E-Print Network [OSTI]

    Katz, Richard

    autocorrelations (e. g., R statistical programming language) Speech compression #12;11 #12;12 (2) SIR GILBERT Research Boulder, CO USA Home page: www.isse.ucar.edu/staff/katz/ Reference: Katz, R.W. (2002). Statistical1 SIR GILBERT WALKER AND A CONNECTION BETWEEN EL NIÑO AND STATISTICS: FROM "TYPICAL CAMBRIDGE DON

  11. Statistical Matching of Two Ontologies Satoshi Sekine Kiyoshi Sudo

    E-Print Network [OSTI]

    Sekine, Satoshi

    Ogino Electronic Dictionary Research 78­1 Sakumahigan, Kanda, Chioda­ku Tokyo, 101­0026 Japan ogino@edr of research. (Ogino et al. 1997) attempts manual merging of EDR (EDR 1996) (Miyoshi et al. 1996) and WordNet (Word­ net) (Miller 1995); (Utiyama and Hashida 1997) used statistical methods to merge EDR and Word

  12. Statistical Exploration of Electronic Structure of Molecules from Quantum Monte-Carlo Simulations

    SciTech Connect (OSTI)

    Prabhat, Mr; Zubarev, Dmitry; Lester, Jr., William A.

    2010-12-22T23:59:59.000Z

    In this report, we present results from analysis of Quantum Monte Carlo (QMC) simulation data with the goal of determining internal structure of a 3N-dimensional phase space of an N-electron molecule. We are interested in mining the simulation data for patterns that might be indicative of the bond rearrangement as molecules change electronic states. We examined simulation output that tracks the positions of two coupled electrons in the singlet and triplet states of an H2 molecule. The electrons trace out a trajectory, which was analyzed with a number of statistical techniques. This project was intended to address the following scientific questions: (1) Do high-dimensional phase spaces characterizing electronic structure of molecules tend to cluster in any natural way? Do we see a change in clustering patterns as we explore different electronic states of the same molecule? (2) Since it is hard to understand the high-dimensional space of trajectories, can we project these trajectories to a lower dimensional subspace to gain a better understanding of patterns? (3) Do trajectories inherently lie in a lower-dimensional manifold? Can we recover that manifold? After extensive statistical analysis, we are now in a better position to respond to these questions. (1) We definitely see clustering patterns, and differences between the H2 and H2tri datasets. These are revealed by the pamk method in a fairly reliable manner and can potentially be used to distinguish bonded and non-bonded systems and get insight into the nature of bonding. (2) Projecting to a lower dimensional subspace ({approx}4-5) using PCA or Kernel PCA reveals interesting patterns in the distribution of scalar values, which can be related to the existing descriptors of electronic structure of molecules. Also, these results can be immediately used to develop robust tools for analysis of noisy data obtained during QMC simulations (3) All dimensionality reduction and estimation techniques that we tried seem to indicate that one needs 4 or 5 components to account for most of the variance in the data, hence this 5D dataset does not necessarily lie on a well-defined, low dimensional manifold. In terms of specific clustering techniques, K-means was generally useful in exploring the dataset. The partition around medoids (pam) technique produced the most definitive results for our data showing distinctive patterns for both a sample of the complete data and time-series. The gap statistic with tibshirani criteria did not provide any distinction across the 2 dataset. The gap statistic w/DandF criteria, Model based clustering and hierarchical modeling simply failed to run on our datasets. Thankfully, the vanilla PCA technique was successful in handling our entire dataset. PCA revealed some interesting patterns for the scalar value distribution. Kernel PCA techniques (vanilladot, RBF, Polynomial) and MDS failed to run on the entire dataset, or even a significant fraction of the dataset, and we resorted to creating an explicit feature map followed by conventional PCA. Clustering using K-means and PAM in the new basis set seems to produce promising results. Understanding the new basis set in the scientific context of the problem is challenging, and we are currently working to further examine and interpret the results.

  13. Collection and Analysis of Two Complex Ecological Datasets

    E-Print Network [OSTI]

    Fisher, Bob

    the ChiRoPing and Fish4Knowledge EU funded research projects. Categories and Subject Descriptors I.2 Analysis: Time-varying imagery, Object recognition Keywords Biological video analysis; bat tracking; fish 55 For more information, see: www.chiroping.org Fish4Knowledge Fish4Knowledge2 collected and analysed

  14. Supplemental Note 1. Access to datasets.................................................................pg. 5 Table S1: Accession IDs and internet URLs for access to datasets

    E-Print Network [OSTI]

    Lonardi, Stefano

    statistics of barley HICF map S2.2 Selection of "gene-bearing" BAC clones Supplemental Note 3. Genomic and assembly statistics S3.3 Genomic shotgun sequencing and assembly Table S5: Summary of barley WGS sequencing: Statistics of whole genome shotgun sequence assembly Figure S2: Coverage of barley full length cDNAs (fl

  15. Load research manual. Volume 3. Load research for advanced technologies

    SciTech Connect (OSTI)

    None

    1980-11-01T23:59:59.000Z

    This three-volume manual presents technical guidelines for electric utility load research. Special attention is given to issues raised by the load data reporting requirements of the Public Utility Regulatory Policies Act of 1978 and to problems faced by smaller utilities that are initiating load research programs. The manual includes guides to load research literature and glossaries of load research and statistical terms. In Volume 3, special load research procedures are presented for solar, wind, and cogeneration technologies.

  16. Application for SAS Certificate Advanced Statistics

    E-Print Network [OSTI]

    Dahl, David B.

    Application for SAS Certificate Advanced Statistics ___________________________________________________________________________________ Student Signature _________________________________________ Date I am a Statistics Major at Brigham Young of Statistics to access my academic information. Brigham Young University Department of Statistics offers

  17. 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

  18. FROM STATISTICAL SIGNIFICANCE TO EFFECT ESTIMATION

    E-Print Network [OSTI]

    Burgman, Mark

    such as the American Psychological Association, and the absence of appropriate editorial pressure, statistical reformFROM STATISTICAL SIGNIFICANCE TO EFFECT ESTIMATION: STATISTICAL REFORM IN PSYCHOLOGY, MEDICINE ABSTRACT Compelling criticisms of statistical significance testing (or Null Hypothesis Significance Testing

  19. APS Operational Statistics for FY 2005

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

    asdopslogo1.gif (2896 bytes) APS FY2005 Operational Statistics Back to Main Statistics Page FY 2005 Year-to-Date Statistics 2005 Statistics Summary HTML or PDF FY 2005...

  20. Nuclear Mass Datasets and Models at nuclearmasses.org

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    This online repository for nuclear mass information allows nuclear researchers to upload their own mass values, store then, share them with colleagues, and, in turn, visualize and analyze the work of others. The Resources link provides access to published information or tools on other websites. The Contributions page is where users will find software, documents, experimental mass data sets, and theoretical mass models that have been uploaded for sharing with the scientific community.

  1. Statistics as a dynamical attractor

    E-Print Network [OSTI]

    Michail Zak

    2012-08-30T23:59:59.000Z

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

  2. Small Business Goals and Statistics

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

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

  3. Computer, Computational, and Statistical Sciences Division

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

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

  4. Fact #850: December 8, 2014 Automatic Transmissions have closed the Fuel Economy Gap with Manual Transmissions- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #850: December 8, 2014 Automatic Transmissions have closed the Fuel Economy Gap with Manual Transmissions

  5. Fact #851: December 15, 2014 The Average Number of Gears used in Transmissions Continues to Rise – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #851: December 15, 2014 The Average Number of Gears used in Transmissions Continues to Rise

  6. Fact #838: September 15, 2014 Net Imports of Petroleum were Only 33% of U.S. Consumption in 2013- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #838: Net Imports of Petroleum were Only 33% of U.S. Consumption in 2013

  7. Fact #839: September 22, 2014 World Petroleum Consumption Continues to Rise despite Declines from the United States and Europe- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #839: World Petroleum Consumption Continues to Rise despite Declines from the United States and Europe

  8. Fact #846: November 10, 2014 Trucks Move 70% of all Freight by Weight and 74% of Freight by Value – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #846: Trucks Move 70% of all Freight by Weight and 74% of Freight by Value

  9. Fact #853 December 29, 2014 Stop/Start Technology is in nearly 5% of All New Light Vehicles Produced- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #853: December  29, 2014 Stop/Start Technology is in nearly 5% of All New Light Vehicles Produced

  10. Development of Regional Wind Resource and Wind Plant Output Datasets: Final Subcontract Report, 15 October 2007 - 15 March 2009

    SciTech Connect (OSTI)

    3TIER, Seattle, Washington

    2010-03-01T23:59:59.000Z

    This report describes the development of the necessary and needed wind and solar datasets used in the Western Wind and Solar Integration Study (WWSIS).

  11. Requirements for Statistics Concentration The Statistics concentration or major may be tailored in accordance with

    E-Print Network [OSTI]

    Stine, Robert A.

    Requirements for Statistics Concentration 6/9/11 The Statistics concentration or major are required, with at least 3 credit units from Statistics. STAT 621 may contribute in Statistics The following courses offered by the Department of Statistics are eligible

  12. International petroleum statistics report

    SciTech Connect (OSTI)

    NONE

    1997-07-01T23:59:59.000Z

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

  13. International petroleum statistics report

    SciTech Connect (OSTI)

    NONE

    1995-11-01T23:59:59.000Z

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

  14. 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

  15. Earth System Grid II, Turning Climate Datasets into Community Resources

    SciTech Connect (OSTI)

    Middleton, Don

    2006-08-01T23:59:59.000Z

    The Earth System Grid (ESG) II project, funded by the Department of Energy’s Scientific Discovery through Advanced Computing program, has transformed climate data into community resources. ESG II has accomplished this goal by creating a virtual collaborative environment that links climate centers and users around the world to models and data via a computing Grid, which is based on the Department of Energy’s supercomputing resources and the Internet. Our project’s success stems from partnerships between climate researchers and computer scientists to advance basic and applied research in the terrestrial, atmospheric, and oceanic sciences. By interfacing with other climate science projects, we have learned that commonly used methods to manage and remotely distribute data among related groups lack infrastructure and under-utilize existing technologies. Knowledge and expertise gained from ESG II have helped the climate community plan strategies to manage a rapidly growing data environment more effectively. Moreover, approaches and technologies developed under the ESG project have impacted datasimulation integration in other disciplines, such as astrophysics, molecular biology and materials science.

  16. SDI: Statistical dynamic interactions

    SciTech Connect (OSTI)

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

    1991-04-01T23:59:59.000Z

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

  17. Probability, Statistics, and Stochastic Processes

    E-Print Network [OSTI]

    Olofsson, Peter

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

  18. Key China Energy Statistics 2012

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

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

  19. Practical Statistics for the LHC

    E-Print Network [OSTI]

    Cranmer, Kyle

    2015-01-01T23:59:59.000Z

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

  20. 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

  1. STATISTICAL FILTERING* John B. Moore~

    E-Print Network [OSTI]

    Moore, John Barratt

    noise signals. Theoretical developments in statistical filtering have been made side by side linkages will be made between these two major in filtering. in the developments In the classical approaches and the unwanted signals (noise) lie in another with possibly some overlap. In the statistical approach, the best

  2. Building statistical models by visualization

    E-Print Network [OSTI]

    Minka,Tom

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

  3. International Energy Statistics - EIA

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > The Energy Materials Center at CornellOfvia aEnergyInternational

  4. Mini-project assignment MS1b Statistical Data Mining

    E-Print Network [OSTI]

    Goldschmidt, Christina

    ? 15 marks Task 3: Clustering For each of the six datasets, perform a k-means clustering of the data in comparison? 15 marks Task 4: LDA analysis Use Linear Discriminant Analysis on the 5th dataset (X5.txt

  5. RESEARCH REPORT 2012 ResearchResearchResearch

    E-Print Network [OSTI]

    Saldin, Dilano

    research on batteries and energy storage, and are part of a multimillion- dollar investment by Johnson Controls that aims to make Wisconsin a hub for energy-storage technology. #12;Chancellor's Welcome A great powerful UW-MILWAUKEE RESEARCH REPORT 2012 As Wisconsin's premier public urban institution, the University

  6. Non-Cooperative Facial Recognition Video Dataset Collection Plan

    SciTech Connect (OSTI)

    Kimura, Marcia L.; Erikson, Rebecca L.; Lombardo, Nicholas J.

    2013-08-31T23:59:59.000Z

    The Pacific Northwest National Laboratory (PNNL) will produce a non-cooperative (i.e. not posing for the camera) facial recognition video data set for research purposes to evaluate and enhance facial recognition systems technology. The aggregate data set consists of 1) videos capturing PNNL role players and public volunteers in three key operational settings, 2) photographs of the role players for enrolling in an evaluation database, and 3) ground truth data that documents when the role player is within various camera fields of view. PNNL will deliver the aggregate data set to DHS who may then choose to make it available to other government agencies interested in evaluating and enhancing facial recognition systems. The three operational settings that will be the focus of the video collection effort include: 1) unidirectional crowd flow 2) bi-directional crowd flow, and 3) linear and/or serpentine queues.

  7. 5D-ODETLAP: A NOVEL FIVE-DIMENSIONAL COMPRESSION METHOD ON TIME-VARYING MULTIVARIABLE GEOSPATIAL DATASET

    E-Print Network [OSTI]

    Franklin, W. Randolph

    5D-ODETLAP: A NOVEL FIVE-DIMENSIONAL COMPRESSION METHOD ON TIME-VARYING MULTIVARIABLE GEOSPATIAL dimensional (5D) geospatial dataset consists of several multivariable 4D datasets, which are sequences of time technique for 5D geospatial data as a whole, instead of applying 3D compression method on each 3D slice

  8. Sensing the Air We Breathe the OpenSense Zurich Dataset Jason Jingshi Li1

    E-Print Network [OSTI]

    Dalang, Robert C.

    pollution is a signifi- cant challenge for the sustainability of our environment. We quickly survey the air pollution modeling problem, introduce a new dataset of mobile air quality measurements in Zurich, and discuss the challenges of making sense of these data. Introduction Urban outdoor air pollution currently

  9. Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets Tomasz Stepinski

    E-Print Network [OSTI]

    Ding, Wei

    Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets Wei Ding Tomasz. Several geospatial feature vari- ables are fused together, and the vector of their values at each spatial cell is considered as a transaction to be used in association analysis. The concept of emerging

  10. Automatic Diabetic Macular Edema Detection in Fundus Images Using Publicly Available Datasets

    SciTech Connect (OSTI)

    Giancardo, Luca [ORNL; Meriaudeau, Fabrice [ORNL; Karnowski, Thomas Paul [ORNL; Li, Yaquin [University of Tennessee, Knoxville (UTK); Garg, Seema [University of North Carolina; Tobin Jr, Kenneth William [ORNL; Chaum, Edward [University of Tennessee, Knoxville (UTK)

    2011-01-01T23:59:59.000Z

    Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy. In a large scale screening environment DME can be assessed by detecting exudates (a type of bright lesions) in fundus images. In this work, we introduce a new methodology for diagnosis of DME using a novel set of features based on colour, wavelet decomposition and automatic lesion segmentation. These features are employed to train a classifier able to automatically diagnose DME. We present a new publicly available dataset with ground-truth data containing 169 patients from various ethnic groups and levels of DME. This and other two publicly available datasets are employed to evaluate our algorithm. We are able to achieve diagnosis performance comparable to retina experts on the MESSIDOR (an independently labelled dataset with 1200 images) with cross-dataset testing. Our algorithm is robust to segmentation uncertainties, does not need ground truth at lesion level, and is very fast, generating a diagnosis on an average of 4.4 seconds per image on an 2.6 GHz platform with an unoptimised Matlab implementation.

  11. A Common UniversityA Common University Dataset for Canada (CUDC)

    E-Print Network [OSTI]

    Garousi, Vahid

    extent of consensus among templates evaluate suitability of Canadian Undergraduate Survey Consortium survey items in current common university dataset templates #12;11/18/2008 6 May 2008: Steering Group and principles consensus template coordination of student surveys NSSE: improving the survey and how it is used

  12. Investigating Gait Recognition in the Short-Wave Infrared (SWIR) Spectrum: Dataset and Challenges

    E-Print Network [OSTI]

    Ross, Arun Abraham

    Investigating Gait Recognition in the Short-Wave Infrared (SWIR) Spectrum: Dataset and Challenges that can confound recognition accuracy. In the context of automated human gait recognition, evaluation has literature has explored recognition in the passive thermal band. The advent of sophisticated sensors has

  13. SOIL MOISTURE CHARACTERIZATION USING MULTI-ANGULAR POLARIMETRIC RADARSAT-2 DATASETS

    E-Print Network [OSTI]

    Boyer, Edmond

    SOIL MOISTURE CHARACTERIZATION USING MULTI-ANGULAR POLARIMETRIC RADARSAT-2 DATASETS Hongquan Wang to be a solution to improve the effectiveness of bare soil char- acterization. However, the potential single and multiple incidence angle acquisitions is investigated against in situ soil moisture

  14. Bionimbus: a cloud for managing, analyzing and sharing large genomics datasets

    E-Print Network [OSTI]

    Grossman, Robert

    Bionimbus: a cloud for managing, analyzing and sharing large genomics datasets Allison P Heath,1 Megan E McNerney,1,2 Kevin P White,1,3,4 Robert L Grossman1,3,5 1 Institute for Genomics and Systems petabyte-scale cloud- based computing platforms containing these data, along with tools and resources

  15. Analyzing Massive Astrophysical Datasets: Can Pig/Hadoop or a Relational DBMS Help?

    E-Print Network [OSTI]

    Anderson, Richard

    Analyzing Massive Astrophysical Datasets: Can Pig/Hadoop or a Relational DBMS Help? Sarah Loebman1 distributed DBMS and in the Pig/Hadoop system. We compare the performance of the tools to each other of subatomic particles to the evolution of the universe. These simulations produce an ever more massive amount

  16. test dataset - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin: EnergyWyandanch,Eaga SolarZoloHomeimprovesecurity Hometest

  17. Research Focus Glutamate receptors: variation

    E-Print Network [OSTI]

    Traynelis, Stephen F.

    a quantum leap forward in 1998 when a crystallographic dataset describing the glutamate-binding domain

  18. 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

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

    E-Print Network [OSTI]

    Fong, Sandiway

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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. Annual Report of Research

    E-Print Network [OSTI]

    Lee, Dongwon

    the Department of Defense increased 2.5 percent to $149 million. Funding from the Department of Energy increased;2 Overview.............................. 3 Statistical Snapshot............. 4 Sponsored Research Highlights--from developing sources of renewable energy to improving homeland security. Increasingly, doing so requires

  10. Quantum particles from classical statistics

    E-Print Network [OSTI]

    C. Wetterich

    2010-02-11T23:59:59.000Z

    Quantum particles and classical particles are described in a common setting of classical statistical physics. The property of a particle being "classical" or "quantum" ceases to be a basic conceptual difference. The dynamics differs, however, between quantum and classical particles. We describe position, motion and correlations of a quantum particle in terms of observables in a classical statistical ensemble. On the other side, we also construct explicitly the quantum formalism with wave function and Hamiltonian for classical particles. For a suitable time evolution of the classical probabilities and a suitable choice of observables all features of a quantum particle in a potential can be derived from classical statistics, including interference and tunneling. Besides conceptual advances, the treatment of classical and quantum particles in a common formalism could lead to interesting cross-fertilization between classical statistics and quantum physics.

  11. Statistical mechanics of gene competition 

    E-Print Network [OSTI]

    Venegas-Ortiz, Juan; Ortiz, Juan Venegas

    2013-11-28T23:59:59.000Z

    Statistical mechanics has been applied to a wide range of systems in physics, biology, medicine and even anthropology. This theory has been recently used to model the complex biochemical processes of gene expression and ...

  12. Forensic Statistics: Ready for consumption?

    E-Print Network [OSTI]

    Gill, Richard D.

    in de rechtszaal. Stator. http://www.kennislink.nl/web/show?id=111865 #12;Everyday statistics · Intensive two-way interaction between statistician and subject-matter expert (client) Cyclic process of re

  13. Anyonic statistics with continuous variables

    E-Print Network [OSTI]

    Jing Zhang; Changde Xie; Kunchi Peng; Peter van Loock

    2008-10-30T23:59:59.000Z

    We describe a continuous-variable scheme for simulating the Kitaev lattice model and for detecting statistics of abelian anyons. The corresponding quantum optical implementation is solely based upon Gaussian resource states and Gaussian operations, hence allowing for a highly efficient creation, manipulation, and detection of anyons. This approach extends our understanding of the control and application of anyons and it leads to the possibility for experimental proof-of-principle demonstrations of anyonic statistics using continuous-variable systems.

  14. Load research manual. Volume 1. Load research procedures

    SciTech Connect (OSTI)

    Brandenburg, L.; Clarkson, G.; Grund, Jr., C.; Leo, J.; Asbury, J.; Brandon-Brown, F.; Derderian, H.; Mueller, R.; Swaroop, R.

    1980-11-01T23:59:59.000Z

    This three-volume manual presents technical guidelines for electric utility load research. Special attention is given to issues raised by the load data reporting requirements of the Public Utility Regulatory Policies Act of 1978 and to problems faced by smaller utilities that are initiating load research programs. In Volumes 1 and 2, procedures are suggested for determining data requirements for load research, establishing the size and customer composition of a load survey sample, selecting and using equipment to record customer electricity usage, processing data tapes from the recording equipment, and analyzing the data. Statistical techniques used in customer sampling are discussed in detail. The costs of load research also are estimated, and ongoing load research programs at three utilities are described. The manual includes guides to load research literature and glossaries of load research and statistical terms.

  15. Experimental particle physics in Finland: Statistics and Overview

    E-Print Network [OSTI]

    Eerola, Paula

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

  16. Statistical Analysis of Protein Folding Kinetics Aaron R. Dinner

    E-Print Network [OSTI]

    Dinner, Aaron

    Statistical Analysis of Protein Folding Kinetics Aaron R. Dinner , Sung-Sau So ¡ , and Martin and theoretical studies over several years have led to the emergence of a unified general mechanism for protein folding that serves as a framework for the design and interpretation of research in this area [1

  17. Motion Prediction for Moving Objects: a Statistical Approach

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Motion Prediction for Moving Objects: a Statistical Approach Dizan Vasquez & Thierry Fraichard with those objects requires the ability to predict their future motion (e.g. for predator evasion, prey hunting, collision avoidance, etc.). Motion prediction is a research area with applications in many

  18. Faculty of Science Mathematics and Statistics

    E-Print Network [OSTI]

    Faculty of Science Mathematics and Statistics Mathematicians and statisticians use powerful mathematical, statistical and computational tools to solve both important theoretical problems and practical can pursue programs in mathematics, statistics, actuarial science, math and computer science

  19. American Statistical Association National Science Foundation

    E-Print Network [OSTI]

    Bermúdez, José Luis

    American Statistical Association National Science Foundation U.S. Census Bureau ASA American Statistical Association 732 North Washington Street Alexandria, VA 22314-1943 U.S. government and analysis, statistical methodology and computing, information and behavioral science, and geography

  20. 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

  1. Fact #869: April 20, 2015 Gasoline Direct Injection Captures 38% Market Share in Just Seven Years from First Significant Use – Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Gasoline Direct Injection Captures 38% Market Share in Just Seven Years from First Significant Use

  2. Associations of indoor carbon dioxide concentrations and environmental susceptibilities with mucous membrane and lower respiratory building related symptoms in the BASE study: Analyses of the 100 building dataset

    SciTech Connect (OSTI)

    Erdmann, Christine A.; Apte, Michael G.

    2003-09-01T23:59:59.000Z

    Using the US EPA 100 office-building BASE Study dataset, they conducted multivariate logistic regression analyses to quantify the relationship between indoor CO{sub 2} concentrations (dCO{sub 2}) and mucous membrane (MM) and lower respiratory system (LResp) building related symptoms, adjusting for age, sex, smoking status, presence of carpet in workspace, thermal exposure, relative humidity, and a marker for entrained automobile exhaust. In addition, they tested the hypothesis that certain environmentally-mediated health conditions (e.g., allergies and asthma) confer increased susceptibility to building related symptoms within office buildings. Adjusted odds ratios (ORs) for statistically significant, dose-dependent associations (p < 0.05) for dry eyes, sore throat, nose/sinus congestion, and wheeze symptoms with 100 ppm increases in dCO{sub 2} ranged from 1.1 to 1.2. These results suggest that increases in the ventilation rates per person among typical office buildings will, on average, reduce the prevalence of several building related symptoms by up to 70%, even when these buildings meet the existing ASHRAE ventilation standards for office buildings. Building occupants with certain environmentally-mediated health conditions are more likely to experience building related symptoms than those without these conditions (statistically significant ORs ranged from 2 to 11).

  3. 1.0 What is Statistics? 1.1 What is Mathematical Statistics? Random Data Basic Ideas in Statistics 1.2 Fundamental Con Mathematical Statistics

    E-Print Network [OSTI]

    Zhang, Li-Xin

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

  4. Moore honored with American Statistical Association award

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

    American Statistical Association Award Moore honored with American Statistical Association award Lisa Moore is the recipient of the 2013 Don Owen Award presented by the American...

  5. DEPARTMENT OF STATISTICS Hilary Term 2007 MSc and Diploma in Applied Statistics

    E-Print Network [OSTI]

    Goldschmidt, Christina

    DEPARTMENT OF STATISTICS ­ Hilary Term 2007 MSc and Diploma in Applied Statistics DAY HOUR TITLE LECTURER PLACE MON 12-1 Time Series (wks 1-4) Dr Laws Statistics 12-1 MCMC and Applied Bayesian Statistics (wks 5-7) Professor Reinert Statistics 2-3 Statistical Data Mining (wks 1-8) Dr Nicholls Maths

  6. Research on Combinatorial Statistics: Crossings and Nestings in Discrete Structures

    E-Print Network [OSTI]

    Poznanovikj, Svetlana

    2011-10-21T23:59:59.000Z

    (Xn ? ?n n ? x) = 1p2? Z x ?1 e?y2=2dy: Analogues of Thorems 2 and 3 for set partitions are not known. In section 2.4 we give a continued fraction expansion of P?2?n qcr(?)pne(?). Unfortunately, k-crossings and k-nestings for k ? 3 seem to be a lot...), the major index of each permutation is equal to the major index of the 7 corresponding set partition. Moreover, X type(?)=(S;T ) qpmaj(?) = X type(?)=(S;T ) qcr(?): (1.2) 1.3. Fillings of moon polyominoes A polyomino is a flnite subset of Z2, where...

  7. Statistical models and experimental designs for poultry research

    E-Print Network [OSTI]

    Abdel Baky, Anwar Ahmed

    1972-01-01T23:59:59.000Z

    mortality, time-period, s involved in recording measurements, and the high cost of conducting certain experiments especially when testing the effects of more than one treatment level. The nature of poultry experimentation is discussed. with emphasis... number of birds in the experimental unit, will increase the degrees of freedom associated. with the valid. error for testing the hypothesis of no difference between treatment means which provides more precise results. The validity of experimental...

  8. Advancements in Wind Integration Study Data Modeling: The Wind Integration National Dataset (WIND) Toolkit; Preprint

    SciTech Connect (OSTI)

    Draxl, C.; Hodge, B. M.; Orwig, K.; Jones, W.; Searight, K.; Getman, D.; Harrold, S.; McCaa, J.; Cline, J.; Clark, C.

    2013-10-01T23:59:59.000Z

    Regional wind integration studies in the United States require detailed wind power output data at many locations to perform simulations of how the power system will operate under high-penetration scenarios. The wind data sets that serve as inputs into the study must realistically reflect the ramping characteristics, spatial and temporal correlations, and capacity factors of the simulated wind plants, as well as be time synchronized with available load profiles. The Wind Integration National Dataset (WIND) Toolkit described in this paper fulfills these requirements. A wind resource dataset, wind power production time series, and simulated forecasts from a numerical weather prediction model run on a nationwide 2-km grid at 5-min resolution will be made publicly available for more than 110,000 onshore and offshore wind power production sites.

  9. Production of BaBar Skimmed Analysis Datasets Using the Grid

    SciTech Connect (OSTI)

    Brew, C.A.J.; /Rutherford; Wilson, F.F.; /Rutherford; Castelli, G.; /Rutherford; Adye, T.; /Rutherford; Roethel, W.; /Rutherford; Luppi, E.; /INFN, Ferrara; Andreotti, D.; /INFN, Ferrara; Smith, D.; /SLAC; Khan, A.; /Brunel U.; Barrett, M.; /Brunel U.; Barlow, R.; /Manchester U.; Bailey, D.; /Manchester U.

    2011-11-10T23:59:59.000Z

    The BABAR Collaboration, based at Stanford Linear Accelerator Center (SLAC), Stanford, US, has been performing physics reconstruction, simulation studies and data analysis for 8 years using a number of compute farms around the world. Recent developments in Grid technologies could provide a way to manage the distributed resources in a single coherent structure. We describe enhancements to the BABAR experiment's distributed skimmed dataset production system to make use of European Grid resources and present the results with regard to BABAR's latest cycle of skimmed dataset production. We compare the benefits of a local and Grid-based systems, the ease with which the system is managed and the challenges of integrating the Grid with legacy software. We compare job success rates and manageability issues between Grid and non-Grid production.

  10. Integrative analysis of transcriptomic and proteomic data of Shewanella oneidensis: missing value imputation using temporal datasets

    SciTech Connect (OSTI)

    Torres-García, Wandaliz [Arizona State University; Brown, Steven D [ORNL; Johnson, Roger [Arizona State University; Zhang, Weiwen [Arizona State University; Runger, George [Arizona State University; Meldrum, Deirdre [Arizona State University

    2011-01-01T23:59:59.000Z

    Despite significant improvements in recent years, proteomic datasets currently available still suffer large number of missing values. Integrative analyses based upon incomplete proteomic and transcriptomic da-tasets could seriously bias the biological interpretation. In this study, we applied a non-linear data-driven stochastic gradient boosted trees (GBT) model to impute missing proteomic values for proteins experi-mentally undetected, using a temporal transcriptomic and proteomic dataset of Shewanella oneidensis. In this dataset, genes expression was measured after the cells were exposed to 1 mM potassium chromate for 5-, 30-, 60-, and 90-min, while protein abundance was measured only for 45- and 90-min samples. With the goal of elucidating the relationship between temporal gene expression and protein abundance data, and then using it to impute missing proteomic values for samples of 45-min (which does not have cognate transcriptomic data) and 90-min, we initially used nonlinear Smoothing Splines Curve Fitting (SSCF) to identify temporal relationships among transcriptomic data at different time points and then imputed missing gene expression measurements for the sample at 45-min. After the imputation was validated by biological constrains (i.e. operons), we used a data-driven Gradient Boosted Trees (GBT) model to uncover possible non-linear relationships between temporal transcriptomic and proteomic data, and to impute protein abundance for the proteins experimentally undetected in the 45- and 90-min sam-ples, based on relevant predictors such as temporal mRNA gene expression data, cellular roles, molecular weight, sequence length, protein length, guanine-cytosine (GC) content and triple codon counts. The imputed protein values were validated using biological constraints such as operon, regulon and pathway information. Finally, we demonstrated that such missing value imputation improved characterization of the temporal response of S. oneidensis to chromate.

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

    E-Print Network [OSTI]

    Gelman, Andrew

    1999-01-01T23:59:59.000Z

    States. Much of the variation in observed cancer death rates by county is attributable to statistical to have extremely high (or low) cancer rates when compared to typical counties in the United States. Thus to keep a speciÿc example in mind. Consider the mapping of cancer mortality rates by county in the United

  12. 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

  13. How to Discuss Statistics on Live Television Jeffrey S. Rosenthal, University of Toronto

    E-Print Network [OSTI]

    Rosenthal, Jeffrey S.

    ), and one at the undergraduate level (Probability and Statistics: The Science of Uncertainty, with M numerous interviews with television, radio, and print media concerning probability and statistics at the age of 29. He has received several Natural Sciences and Engineering Research Council of Canada

  14. Symmetry of Nonparametric Statistical Tests on Three Samples Anna E. Bargagliotti Donald G. Saari

    E-Print Network [OSTI]

    Stanford, Kyle

    Symmetry of Nonparametric Statistical Tests on Three Samples Anna E. Bargagliotti Donald G. Saari Saari's research was supported, in part, by NSF DMS 0631362. 1 #12;establishes that data sets exist of voting rules" (Saari 1989), Haunsperger created her "dictionaries for nonparametric statistical rules

  15. Context-Based Statistical Process Control: A Monitoring Procedure for State-Dependent

    E-Print Network [OSTI]

    Ben-Gal, Irad E.

    Since the introduction of statistical process control (SPC)-- the Shewhart chart--extensive research has to traditional SPC, which requires separate charts for each moment. Traditional SPC methods, such as Shewhart-Sheva 84105, Israel Most statistical process control (SPC) methods are not suitable for monitoring nonlinear

  16. JSS Journal of Statistical Software January 2007, Volume 18, Issue 1. http://www.jstatsoft.org/

    E-Print Network [OSTI]

    van Stokkum, Ivo

    in spectroscopy and chemometrics research. The R language and environment for statistical computing (R Development. Keywords: spectroscopy, chemometrics, R. 1. Introduction Statistical computing has assumed a central role in another, and that one's choice of language is therefore not of much interest. However, the features of R

  17. "Developments in Statistical Computing Software" November 13, 2014. Systems Design Engineering, University of Waterloo

    E-Print Network [OSTI]

    McLeod, Ian

    \\SYDE Overview of R R provides an advanced and sophisticated statistical computing environment. R can be used. At a higher level than repl, R supports scripts, functional programs, many data formats and packages. CRAN R there is the paper, Gentleman and Lang (2007). Statistical Analyses and Reproducible Research. R and time series

  18. Statistical Issues in the Study of Air Pollution Involving Airborne Particulate Matter

    E-Print Network [OSTI]

    Washington at Seattle, University of

    of the Workshop was to initiate a statistical research program relevant to setting air quality standardsStatistical Issues in the Study of Air Pollution Involving Airborne Particulate Matter Lawrence H. Cox NRCSET e c h n i c a l R e p o r t S e r i e s NRCSE-TRS No. 041 January 10, 2000 The NRCSEwas

  19. advanced statistical methods: Topics by E-print Network

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

    binomial, Poisson Gordon, Geoffrey J. 7 Statistics 36-756: Advanced Statistics II Syllabus: Fall, 2006 Mathematics Websites Summary: Statistics 36-756: Advanced Statistics II...

  20. Department of Mathematics and Statistics The Department of Mathematics and Statistics invites applications for a tenure-track position in Statistics. The

    E-Print Network [OSTI]

    Kambhampati, Patanjali

    Department of Mathematics and Statistics ___________________________ The Department of Mathematics and Statistics invites applications for a tenure-track position in Statistics. The Department welcomes or complex data settings, including high dimensional regression, computational statistics and statistical

  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. 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

  3. 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

  4. 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

  5. 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

  6. The University of Connecticut Department of Statistics

    E-Print Network [OSTI]

    Blei, Ron

    1 The University of Connecticut Department of Statistics Graduate Program Founded in 1963, the Department is one of the major statistics departments in the Northeast and has national and international and statistics, spanning virtually all modern areas of statistical applications. Graduate education has been

  7. 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

  8. 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

  9. 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

  10. DEPARTMENT OF STATISTICS ANNUAL REPORT 2006

    E-Print Network [OSTI]

    Goodman, James R.

    Waksberg Award from the American Statistical Association and the Statistical Society of Canada for his work Statistical Association, was held at Sky City in Auckland on July 3 to 6 with David Scott as ChairDEPARTMENT OF STATISTICS ANNUAL REPORT 2006 Highlights Last year I highlighted the fact that Ross

  11. 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

  12. New Visualization Tools for Environmental Sensor Networks: Using Google Earth as an Interface to Micro-Climate and Multimedia Datasets

    E-Print Network [OSTI]

    Sean Askay

    2006-01-01T23:59:59.000Z

    to Micro-Climate and Multimedia Datasets A Thesis submittedof micro-climate and multimedia data, there existed noJames Reserve's sensor and multimedia networks. At the time

  13. On Optimizing Joint Inversion of Constrained Geophysical Datasets Anibal Sosa1 Leticia Velazquez1;2, Aaron Velasco3,

    E-Print Network [OSTI]

    Ward, Karen

    of Texas at El Paso, El Paso, Texas 79968-0514, USA 3Department of Geological Sciences, The University) algorithm to characterize 1D earth structure using geophysical datasets with two different optimization

  14. FY13 Summary Report on the Augmentation of the Spent Fuel Composition Dataset for Nuclear Forensics: SFCOMPO/NF

    SciTech Connect (OSTI)

    Brady Raap, Michaele C.; Lyons, Jennifer A.; Collins, Brian A.; Livingston, James V.

    2014-03-31T23:59:59.000Z

    This report documents the FY13 efforts to enhance a dataset of spent nuclear fuel isotopic composition data for use in developing intrinsic signatures for nuclear forensics. A review and collection of data from the open literature was performed in FY10. In FY11, the Spent Fuel COMPOsition (SFCOMPO) excel-based dataset for nuclear forensics (NF), SFCOMPO/NF was established and measured data for graphite production reactors, Boiling Water Reactors (BWRs) and Pressurized Water Reactors (PWRs) were added to the dataset and expanded to include a consistent set of data simulated by calculations. A test was performed to determine whether the SFCOMPO/NF dataset will be useful for the analysis and identification of reactor types from isotopic ratios observed in interdicted samples.

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

    E-Print Network [OSTI]

    Li, Mohan

    2012-10-19T23:59:59.000Z

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

  16. Models Datasets

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'. William HirstLong-Term Market Penetration of

  17. Statistics Colloquium Dr. Noel Cadigan

    E-Print Network [OSTI]

    Oyet, Alwell

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

  18. Statistics in Practice Forensic Science

    E-Print Network [OSTI]

    Lucy, David

    ". · Greater use of trace evidence (paint/glass/fibres). · DNA revolution. The rise of DNA was coincident: · Trace evidence (glass/paint/fibres) being treated statistically. · More evidence types: · common partner Sally Rose. · He picked up a champagne bottle and struck her on the head. · Rose died at the scene

  19. Statistical mechanics of the vacuum

    E-Print Network [OSTI]

    Christian Beck

    2012-03-01T23:59:59.000Z

    The vacuum is full of virtual particles which exist for short moments of time. In this paper we construct a chaotic model of vacuum fluctuations associated with a fundamental entropic field that generates an arrow of time. The dynamics can be physically interpreted in terms of fluctuating virtual momenta. This model leads to a generalized statistical mechanics that distinguishes fundamental constants of nature.

  20. advancing prevention research: Topics by E-print Network

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

    has given 90 million to Harvard Medical Yellen, Gary 28 DIVISION of EPIDEMIOLOGY, STATISTICS and PREVENTION RESEARCH Chemistry Websites Summary: Consortium on Safe Labor 30...

  1. area process research: Topics by E-print Network

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

    research environmental January 2012 The Issue Comprehensive and reliable energy statistics are essential for good policy analysis and for future projections of energy...

  2. Statistical Review of UK Residential Sector Electrical Loads

    E-Print Network [OSTI]

    Tsagarakis, G; Kiprakis, A E

    2013-01-01T23:59:59.000Z

    This paper presents a comprehensive statistical review of data obtained from a wide range of literature on the most widely used electrical appliances in the UK residential load sector. It focuses on individual appliances and begins by consideration of the electrical operations performed by the load. This approach allows for the loads to be categorised based on the electrical characteristics, and also provides information on the reactive power characteristics of the load, which is often neglected from standard consumption statistics. This data is particularly important for power system analysis. In addition to this, device ownership statistics and probability distribution functions of power demand are presented for the main residential loads. Although the data presented is primarily intended as a resource for the development of load profiles for power system analysis, it contains a large volume of information which provides a useful database for the wider research community.

  3. Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    a purpose and need statement is put together for the Grande Prairie Wind Project. PDF CHP Units in Washington State This is data taken from the website http:www.eea-inc.com...

  4. Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision hasda62829c05b No revision hasDatabus - QSubmit Order

  5. Parallel contingency statistics with Titan.

    SciTech Connect (OSTI)

    Thompson, David C.; Pebay, Philippe Pierre

    2009-09-01T23:59:59.000Z

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

  6. 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

  7. The Earth System Grid Center for Enabling Technologies: Focusing Technologies on Climate Datasets and Resource Needs

    SciTech Connect (OSTI)

    Williams, Dean N. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

    2007-09-26T23:59:59.000Z

    This report discusses a project that used prototyping technology to access and analyze climate data. This project was initially funded under the DOE’s Next Generation Internet (NGI) program, with follow-on support from BER and the Mathematical, Information, and Computational Sciences (MICS) office. In this prototype, we developed Data Grid technologies for managing the movement and replication of large datasets, and applied these technologies in a practical setting (i.e., an ESG-enabled data browser based on current climate data analysis tools), achieving cross-country transfer rates of more than 500 Mb/s. Having demonstrated the potential for remotely accessing and analyzing climate data located at sites across the U.S., we won the “Hottest Infrastructure” award in the Network Challenge event. While the ESG I prototype project substantiated a proof of concept (“Turning Climate Datasets into Community Resources”), the SciDAC Earth System Grid (ESG) II project made this a reality. Our efforts targeted the development of metadata technologies (standard schema, XML metadata extraction based on netCDF, and a Metadata Catalog Service), security technologies (Web-based user registration and authentication, and community authorization), data transport technologies (GridFTPenabled OPeNDAP-G for high-performance access, robust multiple file transport and integration with mass storage systems, and support for dataset aggregation and subsetting), as well as web portal technologies to provide interactive access to climate data holdings. At this point, the technology was in place and assembled, and ESG II was poised to make a substantial impact on the climate modelling community.

  8. Research Associate Position Defense Analysis Department

    E-Print Network [OSTI]

    in analyzing social network data as well as geospatial, temporal, and standard statistical analysis of largeResearch Associate Position Defense Analysis Department Naval Postgraduate School, Monterey, CA Research Associate The Department of Defense Analysis is home to the CORE (Common Operational Research

  9. International H2O Project (IHOP) 2002: Datasets Related to Atmospheric Moisture and Rainfall Prediction

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Schanot, Allen [IHOP 2002 PI; Friesen, Dick [IHOP 2002 PI

    IHOP 2002 was a field experiment that took place over the Southern Great Plains of the United States from 13 May to 25 June 2002. The chief aim of IHOP_2002 was improved characterization of the four-dimensional (4-D) distribution of water vapor and its application to improving the understanding and prediction of convection. The region was an optimal location due to existing experimental and operational facilities, strong variability in moisture, and active convection [copied from http://www.eol.ucar.edu/projects/ihop/]. The project's master list of data identifies 146 publicly accessible datasets.

  10. A 20-Year Dataset of Downwelling Longwave Flux at the Arctic Surface from TOVS Satellite Data

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032) -Less isNFebruaryOctober 2, AlgeriaQ1 Q2 Q3 Ut NOTICE20-Year Dataset

  11. Energy Generation by State and Technology (2009) - Datasets - OpenEI

    Open Energy Info (EERE)

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOEHazel Crest,EnergySerranopolis Jump to:Econ IncIRENADelhiFocusDatasets

  12. Parallel auto-correlative statistics with VTK.

    SciTech Connect (OSTI)

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

    2013-08-01T23:59:59.000Z

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

  13. Developing Scottish Priorities for MRSA Research

    E-Print Network [OSTI]

    Glasgow, University of

    Developing Scottish Priorities for MRSA Research: A Clinician's View Dr Malcolm G Booth Intensive Care Unit Royal infirmary Glasgow #12;MRSA deaths up by nearly quarter The number of deaths linked to the hospital superbug MRSA has risen by nearly a quarter, statistics show. The Office for National Statistics

  14. September 12, 2013 THE FLORIDA STATE UNIVERSITY DEPARTMENT OF STATISTICS

    E-Print Network [OSTI]

    Shepp, Larry

    September 12, 2013 THE FLORIDA STATE UNIVERSITY DEPARTMENT OF STATISTICS ASSISTANT PROFESSOR POSITION IN STATISTICS, BIOSTATISTICS, OR COMPUTATIONAL STATISTICS (TENURE-TRACK) The Department of Statistics at Florida State University invites applications for a tenure-track position in statistics

  15. American Statistical Association Names Fellows for 2010 ALEXANDRIA VA (PRWEB) MAY 20, 2010 The American Statistical Association (ASA), the

    E-Print Network [OSTI]

    Ponce, V. Miguel

    American Statistical Association Names Fellows for 2010 ALEXANDRIA VA (PRWEB) MAY 20, 2010 ­ The American Statistical Association (ASA), the nation's preeminent professional statistical society, today the American Statistical Association The American Statistical Association (ASA), a scientific and educational

  16. Seismic Attribute Analysis Using Higher Order Statistics

    E-Print Network [OSTI]

    Greenidge, Janelle Candice

    2009-05-15T23:59:59.000Z

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

  17. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series STEFFEN LAURITZEN Department of Statistics University of Oxford Bayesian Networks for the Analysis of DNA Mixtures MONDAY, May 21, 2009, at 4

  18. Statistical Review of California's Organic Agriculture

    E-Print Network [OSTI]

    Ferrara, Katherine W.

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

  19. Kansas Statistical Abstract 2005 (40th Edition)

    E-Print Network [OSTI]

    Policy Research Institute

    2008-10-21T23:59:59.000Z

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

  20. Kansas Statistical Abstract 2013 (48th Edition)

    E-Print Network [OSTI]

    Institute for Policy & Social Research

    2014-09-01T23:59:59.000Z

    The Kansas Statistical Abstract 2013, contains the latest available state, county, and city-level data for Kansas on population, vital statistics and health, housing, education, business and manufacturing, exports, employment, ...

  1. Kansas Statistical Abstract 2001 (36th Edition)

    E-Print Network [OSTI]

    2002-12-01T23:59:59.000Z

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

  2. Kansas Statistical Abstract 2004 (39th Edition)

    E-Print Network [OSTI]

    Policy Research Institute

    2006-01-31T23:59:59.000Z

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

  3. Kansas Statistical Abstract 2003 (38th Edition)

    E-Print Network [OSTI]

    Policy Research Institute

    2004-09-01T23:59:59.000Z

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

  4. Kansas Statistical Abstract 2012 (47th Edition)

    E-Print Network [OSTI]

    Institute for Policy & Social Research

    2014-05-27T23:59:59.000Z

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

  5. Kansas Statistical Abstract 2002 (37th Edition)

    E-Print Network [OSTI]

    2003-09-01T23:59:59.000Z

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

  6. Evaluation of Global Monsoon Precipitation Changes based on Five Reanalysis Datasets

    SciTech Connect (OSTI)

    Lin, Renping; Zhou, Tianjun; Qian, Yun

    2014-02-01T23:59:59.000Z

    With the motivation to identify whether or not a reasonably simulated atmospheric circulation would necessarily lead to a successful reproduction of monsoon precipitation, the performances of five sets of reanalysis data (NCEP2, ERA40, JRA25, ERA-Interim and MERRA) in reproducing the climatology, interannual variation and long-term trend of global monsoon (GM) precipitation are comprehensively evaluated. In order to better understand the variability and long-term trend of GM precipitation, we also examined the major components of water budget, including evaporation, water vapor convergence and the change in local water vapor storage, based on five reanalysis datasets. The results show that all five reanalysis data reasonably reproduce the climatology of GM precipitation. The ERA-Interim (NCEP2) shows the highest (lowest) skill among the five datasets. The observed GM precipitation shows an increasing tendency during 1979-2001 along with a strong interannual variability, which is reasonably reproduced by the five sets of reanalysis data. The observed increasing trend of GM precipitation is dominated by the contribution from the North African, North American and Australian monsoons. All five data fail in reproducing the increasing tendency of North African monsoon precipitation. The wind convergence term in water budget equation dominate the GM precipitation variation, indicating a consistency between the GM precipitation and the seasonal change of prevailing wind.

  7. SU-E-I-87: Automated Liver Segmentation Method for CBCT Dataset by Combining Sparse Shape Composition and Probabilistic Atlas Construction

    SciTech Connect (OSTI)

    Li, Dengwang [Shandong Normal University, Jinan, Shandong Province (China); Liu, Li [Shandong Normal University, Jinan, Shandong (China); Chen, Jinhu; Li, Hongsheng [Shandong Cancer Hospital and Institute, Jinan, Shandong (China)

    2014-06-01T23:59:59.000Z

    Purpose: The aiming of this study was to extract liver structures for daily Cone beam CT (CBCT) images automatically. Methods: Datasets were collected from 50 intravenous contrast planning CT images, which were regarded as training dataset for probabilistic atlas and shape prior model construction. Firstly, probabilistic atlas and shape prior model based on sparse shape composition (SSC) were constructed by iterative deformable registration. Secondly, the artifacts and noise were removed from the daily CBCT image by an edge-preserving filtering using total variation with L1 norm (TV-L1). Furthermore, the initial liver region was obtained by registering the incoming CBCT image with the atlas utilizing edge-preserving deformable registration with multi-scale strategy, and then the initial liver region was converted to surface meshing which was registered with the shape model where the major variation of specific patient was modeled by sparse vectors. At the last stage, the shape and intensity information were incorporated into joint probabilistic model, and finally the liver structure was extracted by maximum a posteriori segmentation.Regarding the construction process, firstly the manually segmented contours were converted into meshes, and then arbitrary patient data was chosen as reference image to register with the rest of training datasets by deformable registration algorithm for constructing probabilistic atlas and prior shape model. To improve the efficiency of proposed method, the initial probabilistic atlas was used as reference image to register with other patient data for iterative construction for removing bias caused by arbitrary selection. Results: The experiment validated the accuracy of the segmentation results quantitatively by comparing with the manually ones. The volumetric overlap percentage between the automatically generated liver contours and the ground truth were on an average 88%–95% for CBCT images. Conclusion: The experiment demonstrated that liver structures of CBCT with artifacts can be extracted accurately for following adaptive radiation therapy. This work is supported by National Natural Science Foundation of China (No. 61201441), Research Fund for Excellent Young and Middle-aged Scientists of Shandong Province (No. BS2012DX038), Project of Shandong Province Higher Educational Science and Technology Program (No. J12LN23), Jinan youth science and technology star (No.20120109)

  8. Stratigraphic statistical curvature analysis techniques

    SciTech Connect (OSTI)

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

    1987-05-01T23:59:59.000Z

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

  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, no matter how rich the dictionary from which you adaptively compose a detection statistic, no matter how to be a [closet] Bayesian and choose directions a priori. Lehman & Romano. Testing Statistical Hypotheses. Chapt

  10. 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 Bayesian Adjustment for Multiplicity MONDAY, April 11, 2011 for multiplicity in non-Bayesian statistics. Not all assignments of prior probabilities adjust for multiplicity

  11. 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

  12. Rich Levine Department of Mathematics and Statistics

    E-Print Network [OSTI]

    Goldberg, Fred M.

    Rich Levine Department of Mathematics and Statistics San Diego State University Integrating Change in statistics instruction through the SDSU ITS Course Design Institute (CDI) and the CSU Promising Course Redesign program. The studies consider student success in an online offering of a core applied statistics

  13. Online Course Syllabus STATS 7: Basic Statistics

    E-Print Network [OSTI]

    Loudon, Catherine

    Online Course Syllabus Page 1 STATS 7: Basic Statistics Summer Session I 2011 Class Meeting at UC Irvine where she has been teaching statistics for many years. She is also involved in the development of educational material for statistics, from helping to conceive a TV program for distance

  14. Peter Brien Bureau of Justice Statistics

    E-Print Network [OSTI]

    Hemmers, Oliver

    Peter Brien Bureau of Justice Statistics Overview Federal law prohibits the transfer of a firearm been convicted of a domestic violence misdemeanor (18 USC § 922(g)). The Bureau of Justice Statistics provides as part of its Firearm Inquiry Statistics (FIST) project. Some of the highlights from the survey

  15. STATISTICS COLLOQUIUM MONDAY, MARCH 24, 2014

    E-Print Network [OSTI]

    Schrag, Daniel

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

  16. STATISTICS COLLOQUIUM MONDAY, SEPTEMBER 12, 2011

    E-Print Network [OSTI]

    Schrag, Daniel

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

  17. 40.530: Statistics Professor Chen Zehua

    E-Print Network [OSTI]

    Chen, Zehua

    40.530: Statistics Professor Chen Zehua Singapore University of Design and Technology Professor Chen Zehua 40.530: Statistics #12;Lecture 4: Population and sample, models, Sufficiency and completeness Population, sample and statistic Natural population: A natural population is usually a collection

  18. College of Arts and Sciences STA Statistics

    E-Print Network [OSTI]

    MacAdam, Keith

    College of Arts and Sciences STA Statistics KEY: # = new course * = course changed = course dropped University of Kentucky 2013-2014 Undergraduate Bulletin 1 STA 200 STATISTICS: A FORCE IN HUMAN JUDGMENT. (3) This course is concerned with the interaction of the science and art of statistics with our

  19. DEPARTMENT OF STATISTICS University of Wisconsin

    E-Print Network [OSTI]

    Sheridan, Jennifer

    REPORT NO. 1173 March 11, 2013 Statistical Model Building, Machine Learning, and the Ah-Ha Moment Grace assorted remarks. Fol- lowing is my contribution. 1 #12;Chapter 1 Statistical Model Building, Machine to young statisticians. We conclude with remarks on issues relating to statistical model building/machine

  20. Inga Maslova Department of Mathematics and Statistics

    E-Print Network [OSTI]

    Lansky, Joshua

    Inga Maslova Department of Mathematics and Statistics American University, Washington, D.C. 20016 EXPERIENCE Professor, American University, D.C. Sept 2009 ­ present "Basic Statistics" (Stat202) "Data, and L.Zhu (2010), Statistical significance testing for the association of the magnetometer records

  1. Spatial Autocorrelation and Statistical Tests: Some Solutions

    E-Print Network [OSTI]

    Fortin, Marie Josee

    .fortin@utoronto.ca). 188 © 2009 American Statistical Association and the International Biometric Society JournalSpatial Autocorrelation and Statistical Tests: Some Solutions Mark R. T. DALE and Marie problem in analysis, affecting the significance rates of statistical tests, making them too liberal when

  2. 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

  3. 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

  4. Nonstationary statistical theory for multipactor

    SciTech Connect (OSTI)

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

    2010-06-15T23:59:59.000Z

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

  5. On statistics of molecular chaos

    E-Print Network [OSTI]

    Yuriy Kuzovlev

    2009-11-03T23:59:59.000Z

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

  6. Entanglement distillation using particle statistics

    E-Print Network [OSTI]

    H. L. Huang; L. H. Cheng; X. X. Yi

    2005-10-25T23:59:59.000Z

    We extend the idea of entanglement concentration for pure states(Phys. Rev. Lett. {\\bf 88}, 187903) to the case of mixed states. The scheme works only with particle statistics and local operations, without the need of any other interactions. We show that the maximally entangled state can be distilled out when the initial state is pure, otherwise the entanglement of the final state is less than one. The distillation efficiency is a product of the diagonal elements of the initial state, it takes the maximum 50%, the same as the case for pure states.

  7. Transportation Statistics Annual Report 1997

    SciTech Connect (OSTI)

    Fenn, M.

    1997-01-01T23:59:59.000Z

    This document is the fourth Transportation Statistics Annual Report (TSAR) prepared by the Bureau of Transportation Statistics (BTS) for the President and Congress. As in previous years, it reports on the state of U.S. transportation system at two levels. First, in Part I, it provides a statistical and interpretive survey of the 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?

  8. Of Disasters and Dragon Kings: A Statistical Analysis of Nuclear Power Incidents & Accidents

    E-Print Network [OSTI]

    Wheatley, Spencer; Sornette, Didier

    2015-01-01T23:59:59.000Z

    We provide, and perform a risk theoretic statistical analysis of, a dataset that is 75 percent larger than the previous best dataset on nuclear incidents and accidents, comparing three measures of severity: INES (International Nuclear Event Scale), radiation released, and damage dollar losses. The annual rate of nuclear accidents, with size above 20 Million US$, per plant, decreased from the 1950s until dropping significantly after Chernobyl (April, 1986). The rate is now roughly stable at 0.002 to 0.003, i.e., around 1 event per year across the current fleet. The distribution of damage values changed after Three Mile Island (TMI; March, 1979), where moderate damages were suppressed but the tail became very heavy, being described by a Pareto distribution with tail index 0.55. Further, there is a runaway disaster regime, associated with the "dragon-king" phenomenon, amplifying the risk of extreme damage. In fact, the damage of the largest event (Fukushima; March, 2011) is equal to 60 percent of the total damag...

  9. Fact #854 January 5, 2015 Driving Ranges for All-Electric Vehicles in Model Year 2014 Vary from 62 to 265 Miles – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Driving Ranges for All-Electric Vehicles in Model Year 2014 Vary from 62 to 265 Miles

  10. Fact #848: November 24, 2014 Nearly Three-Fourths of New Cars have Fuel Economy above 25 Miles per Gallon- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #848: November 24, 2014 Nearly Three-Fourths of New Cars have Fuel Economy above 25 Miles per Gallon

  11. Fact #863 March 9, 2015 Crude Oil Accounts for the Majority of Primary Energy Imports while Exports are Mostly Petroleum Products – Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Crude Oil Accounts for the Majority of Primary Energy Imports while Exports are Mostly Petroleum Products

  12. Fact #836: September 1, 2014 Non-OPEC Countries Supply Nearly Two-thirds of U.S. Petroleum Imports – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #836: Non-OPEC Countries Supply Nearly Two-thirds of U.S. Petroleum Imports

  13. Fact #832: August 4, 2014 Over Half of the Refueling Stations in the U.S. and Canada Sell Diesel Fuel- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #832: Over Half of the Refueling Stations in the U.S. and Canada Sell Diesel Fuel

  14. Fact #849: December 1, 2014 Midsize Hybrid Cars Averaged 51% Better Fuel Economy than Midsize Non-Hybrid Cars in 2014- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #849: December 1, 2014 Midsize Hybrid Cars Averaged 51% Better Fuel Economy than Midsize Non-Hybrid Cars in 2014

  15. Low-altitude remote sensing dataset of DEM and RGB mosaic for AB corridor on July 13 2013 and L2 corridor on July 21 2013

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Baptiste Dafflon

    Low-altitude remote sensing dataset including DEM and RGB mosaic for AB (July 13 2013) and L2 corridor (July 21 2013)

  16. Fact #852 December 22, 2014 Turbocharged Engines Account for 64.7% of all Four-Cylinder Gasoline Car Engines in 2014- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #852 December 22, 2014 Turbocharged Engines Account for 64.7% of all Four-Cylinder Gasoline Car Engines in 2014

  17. Lectures on probability and statistics

    SciTech Connect (OSTI)

    Yost, G.P.

    1984-09-01T23:59:59.000Z

    These notes are based on a set of statistics lectures delivered at Imperial College to the first-year postgraduate students in High Energy Physics. They are designed for the professional experimental scientist. We begin with the fundamentals of probability theory, in which one makes statements about the set of possible outcomes of an experiment, based upon a complete a priori understanding of the experiment. For example, in a roll of a set of (fair) dice, one understands a priori that any given side of each die is equally likely to turn up. From that, we can calculate the probability of any specified outcome. We finish with the inverse problem, statistics. Here, one begins with a set of actual data (e.g., the outcomes of a number of rolls of the dice), and attempts to make inferences about the state of nature which gave those data (e.g., the likelihood of seeing any given side of any given die turn up). This is a much more difficult problem, of course, and one's solutions often turn out to be unsatisfactory in one respect or another.

  18. Statistical studies of supernova environments

    E-Print Network [OSTI]

    Anderson, Joseph P; Habergham, Stacey M; Galbany, Lluís; Kuncarayakti, Hanindyo

    2015-01-01T23:59:59.000Z

    Investigations of the environments of SNe allow statistical constraints to be made on progenitor properties. We review progress that has been made in this field. Pixel statistics using tracers of e.g. star formation within galaxies show differences in the explosion sites of, in particular SNe types II and Ibc (SNe II and SNe Ibc), suggesting differences in population ages. Of particular interest is that SNe Ic are significantly more associated with H-alpha emission than SNe Ib, implying shorter lifetimes for the former. In addition, such studies have shown that the interacting SNe IIn do not explode in regions containing the most massive stars, which suggests that at least a significant fraction of their progenitors arise from the lower end of the core-collapse SN mass range. Host HII region spectroscopy has been obtained for a significant number of core-collapse events, however definitive conclusions have to-date been elusive. Single stellar evolution models predict that the fraction of SNe Ibc to SNe II sho...

  19. Adrian G. Barbu Phone: 850-290-5202 Department of Statistics

    E-Print Network [OSTI]

    Barbu, Adrian

    Professor, Department of Statistics, Florida State University 08/2007 ­ 08/2013 Project Manager, Siemens. Research Scientist, Siemens Corporate Research, Princeton, NJ 10/2005 ­ 09/2006: Internship, Siemens and Active Random Fields. Siemens, 31k (PI) #12;5. Cooperative Systems: Task Allocation for Heterogeneous

  20. Bayesian inference for outlier detection in vibration spectra with small learning dataset

    E-Print Network [OSTI]

    Verleysen, Michel

    of periodograms has been the subject of many works in statistical estimation and signal processing, as a means to rotating machines often focusses on specific faults, such as rotor/stator contact (Peng et al., 2005

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

    E-Print Network [OSTI]

    Ravikumar, B.

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

  2. 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

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

    E-Print Network [OSTI]

    Ravikumar, B.

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

  4. 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...

  5. RESEARCH SUMMARY DAVID WILLIAM KNOWLES

    E-Print Network [OSTI]

    Knowles, David William

    plays a determining role in the treatment decision. Unfortunately, the risk associated with benign is to aid the treatment decision process of breast cancer patients by providing pathologists with new tools@lbl.gov http://dwknowles.lbl.gov/ Research Interests: My laboratory develops statistical, image analysis

  6. focusing on research still growing

    E-Print Network [OSTI]

    Cesare, Bernardo

    Dical sciences anD international stuDies MATHEMATICS, PHYSICAL SCIENCES, INFORMATION AND COMMUNICATION of pharmaceutical anD pharmacological sciences PSYCHOLOGY Department of philosophy, sociology, eDucation anD applieD49 focusing on research still growing SOCIAL SCIENCES AND HUMANITIES ECONOMICS AND STATISTICS

  7. Using Graphs for Fast Error Term Approximation of Time-varying Datasets

    SciTech Connect (OSTI)

    Nuber, C; LaMar, E C; Pascucci, V; Hamann, B; Joy, K I

    2003-02-27T23:59:59.000Z

    We present a method for the efficient computation and storage of approximations of error tables used for error estimation of a region between different time steps in time-varying datasets. The error between two time steps is defined as the distance between the data of these time steps. Error tables are used to look up the error between different time steps of a time-varying dataset, especially when run time error computation is expensive. However, even the generation of error tables itself can be expensive. For n time steps, the exact error look-up table (which stores the error values for all pairs of time steps in a matrix) has a memory complexity and pre-processing time complexity of O(n2), and O(1) for error retrieval. Our approximate error look-up table approach uses trees, where the leaf nodes represent original time steps, and interior nodes contain an average (or best-representative) of the children nodes. The error computed on an edge of a tree describes the distance between the two nodes on that edge. Evaluating the error between two different time steps requires traversing a path between the two leaf nodes, and accumulating the errors on the traversed edges. For n time steps, this scheme has a memory complexity and pre-processing time complexity of O(nlog(n)), a significant improvement over the exact scheme; the error retrieval complexity is O(log(n)). As we do not need to calculate all possible n2 error terms, our approach is a fast way to generate the approximation.

  8. CALL FOR PROPOSALS OPEN TO RESEARCHERS IN MATHEMATICS AND THEORETICAL PHYSICS

    E-Print Network [OSTI]

    van Tiggelen, Bart

    , without being exhaustive: statistics, scientific computing, high energy physics, image processing to mathematics, including theoretical physics, statistics, theoretical computer science and mathematical biology courses for students. They are coordinated by two to four researchers. The funding for these programs

  9. Statistical Hot Channel Analysis for the NBSR

    SciTech Connect (OSTI)

    Cuadra A.; Baek J.

    2014-05-27T23:59:59.000Z

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

  10. Exploring challenges and strategies when using medical databases in research: a review 

    E-Print Network [OSTI]

    Calanzani, Natalia; Vojt, Gaby; Campbell, Christine; Weller, David

    2014-08-26T23:59:59.000Z

    The use of medical databases in research is well-established in the UK, and is likely to intensify further with the launch of the care.data programme in England. However, managing and analysing these datasets is not straightforward. Specialised...

  11. Research Statement

    E-Print Network [OSTI]

    2015-01-18T23:59:59.000Z

    entries in the natural numbers, into an undergraduate research project. ..... and developing the undergraduate research project described at the end of Section 2,

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

    E-Print Network [OSTI]

    Dahl, David B.

    ­2 1 1 1 1 1 2 1 1 1­2 1­2 1 3­4 Variable Hours 4.0 2.0 2.0 3­6.0 3.0 3.0 3.0 4.0 4.0 6.0 3.0 3.0 3­5.0 3­7.0 3.0 6.0 Variable 30.0 120.0 Classes Rel A 121/H & 122/H Rel A 211/H or 212/H Rel C 324/H Statistical Computing 2 4.0 4.0 3.0 3.0 3.0 3.0 1.0 1.0 2.0 3.0 3.0 1.0 3.0 3.0 3.0 3.0 Complete 18 credit

  13. On the statistics of the product of a Gaussian noise process and a pseudorandom binary code

    E-Print Network [OSTI]

    Painter, John H.

    IBM Watson Research Center Yorktown Heights, X. Y. comparable to that of the ordinary planar structure. 9 The capacitance can be shown to be finite and On the Statistics of the Product of a Gaussian Noise Process and a Pseudorandom Binary... the statistics of the code and the noise are independent, the autocorrelation function of the product is the product of the autocorrelation functions of the two processes, and the noise spectral density of the product is easily derivable using...

  14. An Interactive Visualization Model for Large High-dimensional Datasets Division of Computing and Mathematics,University of Houston-Clear Lake,

    E-Print Network [OSTI]

    Ding, Wei

    An Interactive Visualization Model for Large High-dimensional Datasets Wei Ding Division of complex data, which is especially helpful for analysis of large high dimensional datasets. However, existing methods often lose simplicity and clarity while rendering large amount of complex data

  15. Volume rendering at interactive frame rates remains a chal-lenge, especially with today's increasingly large datasets. We pro-

    E-Print Network [OSTI]

    Crawfis, Roger

    Abstract Volume rendering at interactive frame rates remains a chal- lenge, especially with today's increasingly large datasets. We pro- pose a framework, using concepts from Image-Based Rendering (IBR), that decreases the required framerate for the volume ren- derer significantly. All the volume renderer needs

  16. Volume rendering at interactive frame rates remains a chal-lenge, especially with today's increasingly large datasets. We pro-

    E-Print Network [OSTI]

    Mueller, Klaus

    1 Abstract Volume rendering at interactive frame rates remains a chal- lenge, especially with today's increasingly large datasets. We pro- pose a framework, using concepts from Image-Based Rendering (IBR), that decreases the required framerate for the volume ren- derer significantly. All the volume renderer needs

  17. The exploration of massive multi-wavelength astronomical datasets: the case of AGNS in the Chandra Source Catalog

    E-Print Network [OSTI]

    D?Abrusco, Raffaele

    library. Different datasets obtained starting from samples of AGNs selected with different methods classification is available.This approach yields two advantages over the traditional study of low- dimensional.g., classification indices). A technique already applied to the problem of extraction of optical candidate quasars

  18. Mining, Using and Maintaining Source Statistics for Adaptive Data Integration

    E-Print Network [OSTI]

    Kambhampati, Subbarao

    -Objective Optimization, Statistics Mining, Incremental Maintenance 1. INTRODUCTION The availability of structuredMining, Using and Maintaining Source Statistics for Adaptive Data Integration Jianchun Fan a framework for effectively mining multiple types of statistics including source coverage statistics, inter

  19. Statistical assessment of Monte Carlo distributional tallies

    SciTech Connect (OSTI)

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

    2010-12-09T23:59:59.000Z

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

  20. Quantum Statistical Mechanics. III. Equilibrium Probability

    E-Print Network [OSTI]

    Phil Attard

    2014-04-10T23:59:59.000Z

    Given are a first principles derivation and formulation of the probabilistic concepts that underly equilibrium quantum statistical mechanics. The transition to non-equilibrium probability is traversed briefly.

  1. 18.441 Statistical Inference, Spring 2002

    E-Print Network [OSTI]

    Hardy, Michael

    Reviews probability and introduces statistical inference. Point and interval estimation. The maximum likelihood method. Hypothesis testing. Likelihood-ratio tests and Bayesian methods. Nonparametric methods. Analysis of ...

  2. Essays on microeconomics and statistical decision making

    E-Print Network [OSTI]

    Nieto Barthaburu, Augusto

    2006-01-01T23:59:59.000Z

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

  3. Statistical methods for nuclear material management

    SciTech Connect (OSTI)

    Bowen W.M.; Bennett, C.A. (eds.) [eds.

    1988-12-01T23:59:59.000Z

    This book is intended as a reference manual of statistical methodology for nuclear material management practitioners. It describes statistical methods currently or potentially important in nuclear material management, explains the choice of methods for specific applications, and provides examples of practical applications to nuclear material management problems. Together with the accompanying training manual, which contains fully worked out problems keyed to each chapter, this book can also be used as a textbook for courses in statistical methods for nuclear material management. It should provide increased understanding and guidance to help improve the application of statistical methods to nuclear material management problems.

  4. Statistical Mechanics and Quantum Cosmology

    E-Print Network [OSTI]

    B. L. Hu

    1995-11-29T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Hitchcock, Adam P.

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

  6. American Statistical Association Announces 2011 Award Recipients Awards ceremony to be held at Joint Statistical Meetings in Miami Beach, FL

    E-Print Network [OSTI]

    Washington at Seattle, University of

    American Statistical Association Announces 2011 Award Recipients Awards ceremony to be held at Joint Statistical Meetings in Miami Beach, FL MIAMI BEACH, FL (PRWEB) AUGUST 1, 2011 ­ The American Statistical Association (ASA), the nation's preeminent professional statistical society, today announced

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

    E-Print Network [OSTI]

    Olsen Jr., Dan R.

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

  8. 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

  9. 8.334 Statistical Mechanics II: Statistical Mechanics of Fields, Spring 2004

    E-Print Network [OSTI]

    Kardar, Mehran

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

  10. Vortex methods and vortex statistics

    SciTech Connect (OSTI)

    Chorin, A.J.

    1993-05-01T23:59:59.000Z

    Vortex methods originated from the observation that in incompressible, inviscid, isentropic flow vorticity (or, more accurately, circulation) is a conserved quantity, as can be readily deduced from the absence of tangential stresses. Thus if the vorticity is known at time t = 0, one can deduce the flow at a later time by simply following it around. In this narrow context, a vortex method is a numerical method that makes use of this observation. Even more generally, the analysis of vortex methods leads, to problems that are closely related to problems in quantum physics and field theory, as well as in harmonic analysis. A broad enough definition of vortex methods ends up by encompassing much of science. Even the purely computational aspects of vortex methods encompass a range of ideas for which vorticity may not be the best unifying theme. The author restricts himself in these lectures to a special class of numerical vortex methods, those that are based on a Lagrangian transport of vorticity in hydrodynamics by smoothed particles (``blobs``) and those whose understanding contributes to the understanding of blob methods. Vortex methods for inviscid flow lead to systems of ordinary differential equations that can be readily clothed in Hamiltonian form, both in three and two space dimensions, and they can preserve exactly a number of invariants of the Euler equations, including topological invariants. Their viscous versions resemble Langevin equations. As a result, they provide a very useful cartoon of statistical hydrodynamics, i.e., of turbulence, one that can to some extent be analyzed analytically and more importantly, explored numerically, with important implications also for superfluids, superconductors, and even polymers. In the authors view, vortex ``blob`` methods provide the most promising path to the understanding of these phenomena.

  11. QUEEN'S UNIVERSITY STAT 367: Engineering Statistics

    E-Print Network [OSTI]

    Offin, Dan

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

  12. Wavelet Methods in Statistics with R

    E-Print Network [OSTI]

    Nason, Guy

    Use R! G.P.Nason Use R! Wavelet Methods in Statistics with R WaveletMethodsinStatisticswithR Wavelet methods have recently undergone a rapid period of development with important impli- cations an introduction to wavelets and their uses in statistics; (ii) acting as a quick and broad reference to many

  13. Scientific Data Analysis via Statistical Learning

    E-Print Network [OSTI]

    Geddes, Cameron Guy Robinson

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

  14. Statistical Model Computation with UDFs Carlos Ordonez

    E-Print Network [OSTI]

    Ordonez, Carlos

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

  15. NONEQUILIBRIUM QUANTUM STATISTICAL MECHANICS AND THERMODYNAMICS #

    E-Print Network [OSTI]

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

  16. On statistical mechanics in noncommutative spaces

    E-Print Network [OSTI]

    S. A. Alavi

    2007-09-26T23:59:59.000Z

    We study the formulation of quantum statistical mechanics in noncommutative spaces. We construct microcanonical and canonical ensemble theory in noncommutative spaces. We consider for illustration some basic and important examples in the framework of noncommutative statistical mechanics : (i). An electron in a magnetic field. (ii). A free particle in a box. (iii). A linear harmonic oscillator.

  17. 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

  18. : ( 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

  19. Improving Statistical Machine Translation with Monolingual Collocation

    E-Print Network [OSTI]

    Wang, Haifeng

    monolingual collocations to improve Statistical Ma- chine Translation (SMT). We make use of the collocation for various kinds of SMT sys- tems and improving phrase table for phrase-based SMT. The experimental re- sults on a phrase-based SMT system and 1.76 BLEU score on a parsing-based SMT system. 1 Introduction Statistical

  20. Mathematics and Statistics College of Engineering

    E-Print Network [OSTI]

    Hickman, Mark

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

  1. NERSC Job Logs and Statistics

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > The EnergyCenterDioxide CaptureSee the Foundry'sMcGuire AFB,T I O CS

  2. ARM Research in the Equatorial Western Pacific: A Decade and Counting

    SciTech Connect (OSTI)

    Long, Charles N.; McFarlane, Sally A.; Del Genio, Anthony D.; Minnis, Patrick; Ackerman, Thomas P.; Mather, James H.; Comstock, Jennifer M.; Mace, Gerald G.; Jensen, Michael; Jakob, Christian

    2013-05-22T23:59:59.000Z

    The tropical western Pacific (TWP) is an important climatic region. Strong solar heating, warm sea surface temperatures and the annual progression of the Intertropical Convergence Zone (ITCZ) across this region generate abundant convective systems, which through their effects on the heat and water budgets have a profound impact on global climate and precipitation. To accurately represent tropical cloud systems in models, measurements of tropical clouds, the environment in which they reside, and their impact on the radiation and water budgets are needed. Because of the remote location, ground-based datasets of cloud, atmosphere, and radiation properties from the TWP region have traditionally come primarily from short-term field experiments. While providing extremely useful information on physical processes, these datasets are limited in statistical and climatological information because of their short duration. To provide long-term measurements of the surface radiation budget in the tropics, and the atmospheric properties that affect it, the Atmospheric Radiation Measurement program established a measurement site on Manus Island, Papua New Guinea in 1996 and on the island republic of Nauru in late 1998. These sites provide unique datasets available from more than 10 years of operation in the equatorial western Pacific on Manus and Nauru. We present examples of the scientific use of these datasets including characterization of cloud properties, analysis of cloud radiative forcing, model studies of tropical clouds and processes, and validation of satellite algorithms. We also note new instrumentation recently installed at the Manus site that will expand opportunities for tropical atmospheric science.

  3. 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 Bundesstra�e 55 D-20146 Hamburg.neumann@uni-jena.de Abstract We derive the asymptotic distributions of degenerate U- and V -statistics of stationary

  4. 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

  5. Postdoctoral Research Awards Annual Research Meeting: Joseph...

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

    Joseph Mondloch Postdoctoral Research Awards Annual Research Meeting: Joseph Mondloch Postdoctoral Research Awards Annual Research Meeting: Joseph Mondloch poster presentation....

  6. A statistically improved procedure for setting MDNBR limit

    E-Print Network [OSTI]

    Giap, Huan Quoc

    1986-01-01T23:59:59.000Z

    is investigated; two values of TDC are used . One ( 0. 02) is the TDC value used in creating the Electric Power Research Institute EPRI-01 CHF correlation and also the value used in current industry practice, and other (0. 038) is the TDC licensed...) correlation is described. Finally, a complete statistics package is developed for calculating the MDNBR limit. The new procedure sets the MDNBR limit for the STP at1. 12 with EPRI-01 CHF correlation or 1. 1402 with the new EPRI-STP CHF correlation...

  7. A graphical presentation of signal delays in the datasets of Weihs et al

    E-Print Network [OSTI]

    Morgan, Peter

    2012-01-01T23:59:59.000Z

    A graphical presentation of the timing of avalanche photodiode events in the datasets from the experiment of Weihs et al. [Phys. Rev. Lett. 81, 5039 (1998)] makes manifest the existence of two types of signal delay: (1) The introduction of rapid switching of the input to a pair of transverse electro-optical modulators causes a delay of approximately 20 nanoseconds for a proportion of coincident avalanche photodiode events; this effect has been previously noted, but a different cause is suggested by the data as considered here. (2) There are delays that depend on in which avalanche photodiode an event occurs; this effect has also been previously noted even though it is only strongly apparent when the relative time difference between avalanche photodiode events is near the stated 0.5 nanosecond accuracy of the timestamps (but it is identifiable because of 75 picosecond resolution). The cause of the second effect is a difference between signal delays for the four avalanche photodiodes, for which correction can b...

  8. A Faster Parallel Algorithm and Efficient Multithreaded Implementations for Evaluating Betweenness Centrality on Massive Datasets

    SciTech Connect (OSTI)

    Madduri, Kamesh; Ediger, David; Jiang, Karl; Bader, David A.; Chavarría-Miranda, Daniel

    2009-05-29T23:59:59.000Z

    We present a new lock-free parallel algorithm for computing betweenness centrality of massive small-world networks. With minor changes to the data structures, our algorithm also achieves better spatial cache locality compared to previous approaches. Betweenness centrality is a key algorithm kernel in the HPCS SSCA#2 Graph Analysis benchmark, which has been extensively used to evaluate the performance of emerging high-performance computing architectures for graph-theoretic computations. We design optimized implementations of betweenness centrality and the SSCA#2 benchmark for two hardware multithreaded systems: a Cray XMT system with the ThreadStorm processor, and a single-socket Sun multicore server with the UltraSparc T2 processor. For a small-world network of 134 million vertices and 1.073 billion edges, the 16-processor XMT system and the 8-core Sun Fire T5120 server achieve TEPS scores (an algorithmic performance count for the SSCA#2 benchmark) of 160 million and 90 million respectively, which corresponds to more than a 2X performance improvement over the previous parallel implementations. To better characterize the performance of these multithreaded systems, we correlate the SSCA#2 performance results with data from the memory-intensive STREAM and RandomAccess benchmarks. Finally, we demonstrate the applicability of our implementation to analyze massive real-world datasets by computing approximate betweenness centrality for a large-scale IMDb movie-actor network.

  9. A Faster Parallel Algorithm and Efficient Multithreaded Implementations for Evaluating Betweenness Centrality on Massive Datasets

    SciTech Connect (OSTI)

    Madduri, Kamesh; Ediger, David; Jiang, Karl; Bader, David A.; Chavarria-Miranda, Daniel

    2009-02-15T23:59:59.000Z

    We present a new lock-free parallel algorithm for computing betweenness centralityof massive small-world networks. With minor changes to the data structures, ouralgorithm also achieves better spatial cache locality compared to previous approaches. Betweenness centrality is a key algorithm kernel in HPCS SSCA#2, a benchmark extensively used to evaluate the performance of emerging high-performance computing architectures for graph-theoretic computations. We design optimized implementations of betweenness centrality and the SSCA#2 benchmark for two hardware multithreaded systems: a Cray XMT system with the Threadstorm processor, and a single-socket Sun multicore server with the UltraSPARC T2 processor. For a small-world network of 134 million vertices and 1.073 billion edges, the 16-processor XMT system and the 8-core Sun Fire T5120 server achieve TEPS scores (an algorithmic performance count for the SSCA#2 benchmark) of 160 million and 90 million respectively, which corresponds to more than a 2X performance improvement over the previous parallel implementations. To better characterize the performance of these multithreaded systems, we correlate the SSCA#2 performance results with data from the memory-intensive STREAM and RandomAccess benchmarks. Finally, we demonstrate the applicability of our implementation to analyze massive real-world datasets by computing approximate betweenness centrality for a large-scale IMDb movie-actor network.

  10. Biophotons, coherence and photocount statistics: a critical review

    E-Print Network [OSTI]

    Michal Cifra; Christian Brouder; Michaela Nerudová; Ond?ej Ku?era

    2015-02-25T23:59:59.000Z

    Biological samples continuously emit ultra-weak photon emission (UPE, or "biophotons") which stems from electronic excited states generated chemically during oxidative metabolism and stress. Thus, UPE can potentially serve as a method for non-invasive diagnostics of oxidative processes or, if discovered, also of other processes capable of electron excitation. While the fundamental generating mechanisms of UPE are fairly elucidated together with their approximate ranges of intensities and spectra, statistical properties of UPE is still a highly challenging topic. Here we review claims about nontrivial statistical properties of UPE, such as coherence and squeezed states of light. After introduction to the necessary theory, we categorize the experimental works of all authors to those with solid, conventional interpretation and those with unconventional and even speculative interpretation. The conclusion of our review is twofold; while the phenomenon of UPE from biological systems can be considered experimentally well established, no reliable evidence for the coherence or nonclassicality of UPE was actually achieved up to now. Furthermore, we propose perspective avenues in the research of statistical properties of biological UPE.

  11. Microbiological Research ] (

    E-Print Network [OSTI]

    Sims, Gerald K.

    ) or to expand on previous research addressing the fate of nitrogen from agrochemicals (Bichat et al., 1999

  12. Load research manual. Volume 2. Fundamentals of implementing load research procedures

    SciTech Connect (OSTI)

    Brandenburg, L.; Clarkson, G.; Grund, Jr., C.; Leo, J.; Asbury, J.; Brandon-Brown, F.; Derderian, H.; Mueller, R.; Swaroop, R.

    1980-11-01T23:59:59.000Z

    This three-volume manual presents technical guidelines for electric utility load research. Special attention is given to issues raised by the load data reporting requirements of the Public Utility Regulatory Policies Act of 1978 and to problems faced by smaller utilities that are initiating load research programs. In Volumes 1 and 2, procedures are suggested for determining data requirements for load research, establishing the size and customer composition of a load survey sample, selecting and using equipment to record customer electricity usage, processing data tapes from the recording equipment, and analyzing the data. Statistical techniques used in customer sampling are discussed in detail. The costs of load research also are estimated, and ongoing load research programs at three utilities are described. The manual includes guides to load research literature and glossaries of load research and statistical terms.

  13. Characterization of statistical prior image constrained compressed sensing (PICCS): II. Application to dose reduction

    SciTech Connect (OSTI)

    Lauzier, Pascal Theriault; Chen Guanghong [Medical Physics Department, University of Wisconsin-Madison, Madison, Wisconsin 53705 (United States)

    2013-02-15T23:59:59.000Z

    Purpose: The ionizing radiation imparted to patients during computed tomography exams is raising concerns. This paper studies the performance of a scheme called dose reduction using prior image constrained compressed sensing (DR-PICCS). The purpose of this study is to characterize the effects of a statistical model of x-ray detection in the DR-PICCS framework and its impact on spatial resolution. Methods: Both numerical simulations with known ground truth and in vivo animal dataset were used in this study. In numerical simulations, a phantom was simulated with Poisson noise and with varying levels of eccentricity. Both the conventional filtered backprojection (FBP) and the PICCS algorithms were used to reconstruct images. In PICCS reconstructions, the prior image was generated using two different denoising methods: a simple Gaussian blur and a more advanced diffusion filter. Due to the lack of shift-invariance in nonlinear image reconstruction such as the one studied in this paper, the concept of local spatial resolution was used to study the sharpness of a reconstructed image. Specifically, a directional metric of image sharpness, the so-called pseudopoint spread function (pseudo-PSF), was employed to investigate local spatial resolution. Results: In the numerical studies, the pseudo-PSF was reduced from twice the voxel width in the prior image down to less than 1.1 times the voxel width in DR-PICCS reconstructions when the statistical model was not included. At the same noise level, when statistical weighting was used, the pseudo-PSF width in DR-PICCS reconstructed images varied between 1.5 and 0.75 times the voxel width depending on the direction along which it was measured. However, this anisotropy was largely eliminated when the prior image was generated using diffusion filtering; the pseudo-PSF width was reduced to below one voxel width in that case. In the in vivo study, a fourfold improvement in CNR was achieved while qualitatively maintaining sharpness; images also had a qualitatively more uniform noise spatial distribution when including a statistical model. Conclusions: DR-PICCS enables to reconstruct CT images with lower noise than FBP and the loss of spatial resolution can be mitigated to a large extent. The introduction of statistical modeling in DR-PICCS may improve some noise characteristics, but it also leads to anisotropic spatial resolution properties. A denoising method, such as the directional diffusion filtering, has been demonstrated to reduce anisotropy in spatial resolution effectively when it was combined with DR-PICCS with statistical modeling.

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

    E-Print Network [OSTI]

    Juerg Froehlich

    2008-02-29T23:59:59.000Z

    The history of the discovery of electron spin and the Pauli principle and the mathematics of spin and quantum statistics are reviewed. Pauli's theory of the spinning electron and some of its many applications in mathematics and physics are considered in more detail. The role of the fact that the tree-level gyromagnetic factor of the electron has the value g = 2 in an analysis of stability (and instability) of matter in arbitrary external magnetic fields is highlighted. Radiative corrections and precision measurements of g are reviewed. The general connection between spin and statistics, the CPT theorem and the theory of braid statistics are described.

  15. Scalable k-means statistics with Titan.

    SciTech Connect (OSTI)

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

    2009-11-01T23:59:59.000Z

    This report summarizes existing statistical engines in VTK/Titan and presents both the serial and parallel k-means statistics engines. It is a sequel to [PT08], [BPRT09], and [PT09] which studied the parallel descriptive, correlative, multi-correlative, principal component analysis, and contingency engines. The ease of use of the new parallel k-means engine is illustrated by the means of C++ code snippets and algorithm verification is provided. This report justifies the design of the statistics engines with parallel scalability in mind, and provides scalability and speed-up analysis results for the k-means engine.

  16. Quantum Statistical Processes in the Early Universe

    E-Print Network [OSTI]

    B. L. Hu

    1993-02-22T23:59:59.000Z

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

  17. Statistical regimes of random laser fluctuations

    SciTech Connect (OSTI)

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

    2007-06-15T23:59:59.000Z

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

  18. Use of datasets derived from time-series AVHRR imagery as surrogates for land cover maps in predicting species' distributions

    E-Print Network [OSTI]

    Egbert, Stephen L.; Martí nez-Meyer, Enrique; Ortega-Huerta, Miguel; Peterson, A. Townsend

    2002-06-01T23:59:59.000Z

    to be the case, it may be possible to use AVHRR, MODIS, or similar imagery, either in raw form or as easily and cheaply derived datasets, as direct inputs to models that predict species’ distributions. II. METHODS In this pilot analysis, we selected... for Advanced Computational Infrastructure, Earth System Science (NPACI/ESS) Thrust. E.M-M. was supported by a graduate fellowship from the Direccion General de Asuntos del Personal Academico of the National University of Mexico (UNAM...

  19. Statistical physics of networks, information and complex systems

    SciTech Connect (OSTI)

    Ecke, Robert E [Los Alamos National Laboratory

    2009-01-01T23:59:59.000Z

    In this project we explore the mathematical methods and concepts of statistical physics that are fmding abundant applications across the scientific and technological spectrum from soft condensed matter systems and bio-infonnatics to economic and social systems. Our approach exploits the considerable similarity of concepts between statistical physics and computer science, allowing for a powerful multi-disciplinary approach that draws its strength from cross-fertilization and mUltiple interactions of researchers with different backgrounds. The work on this project takes advantage of the newly appreciated connection between computer science and statistics and addresses important problems in data storage, decoding, optimization, the infonnation processing properties of the brain, the interface between quantum and classical infonnation science, the verification of large software programs, modeling of complex systems including disease epidemiology, resource distribution issues, and the nature of highly fluctuating complex systems. Common themes that the project has been emphasizing are (i) neural computation, (ii) network theory and its applications, and (iii) a statistical physics approach to infonnation theory. The project's efforts focus on the general problem of optimization and variational techniques, algorithm development and infonnation theoretic approaches to quantum systems. These efforts are responsible for fruitful collaborations and the nucleation of science efforts that span multiple divisions such as EES, CCS, 0 , T, ISR and P. This project supports the DOE mission in Energy Security and Nuclear Non-Proliferation by developing novel infonnation science tools for communication, sensing, and interacting complex networks such as the internet or energy distribution system. The work also supports programs in Threat Reduction and Homeland Security.

  20. Indoor carbon dioxide concentrations and sick building syndrome symptoms in the BASE study revisited: Analyses of the 100 building dataset

    SciTech Connect (OSTI)

    Erdmann, Christine A.; Steiner, Kate C.; Apte, Michael G.

    2002-02-01T23:59:59.000Z

    In previously published analyses of the 41-building 1994-1996 USEPA Building Assessment Survey and Evaluation (BASE) dataset, higher workday time-averaged indoor minus outdoor CO{sub 2} concentrations (dCO{sub 2}) were associated with increased prevalence of certain mucous membrane and lower respiratory sick building syndrome (SBS) symptoms, even at peak dCO{sub 2} concentrations below 1,000 ppm. For this paper, similar analyses were performed using the larger 100-building 1994-1998 BASE dataset. Multivariate logistic regression analyses quantified the associations between dCO{sub 2} and the SBS symptoms, adjusting for age, sex, smoking status, presence of carpet in workspace, thermal exposure, relative humidity, and a marker for entrained automobile exhaust. Adjusted dCO{sub 2} prevalence odds ratios for sore throat and wheeze were 1.17 and 1.20 per 100-ppm increase in dCO{sub 2} (p <0.05), respectively. These new analyses generally support our prior findings. Regional differences in climate, building design, and operation may account for some of the differences observed in analyses of the two datasets.

  1. VecFinder: Automated de novo identification and removal of vector and adapter sequence from genomic datasets

    SciTech Connect (OSTI)

    Zhang, Michael Y.; Tu, Hank; Shapiro, Harris; Platt, Darren

    2007-05-04T23:59:59.000Z

    High-throughput Sanger sequencing requires DNA to be inserted into bacterial vectors for biological amplification. Adapter or linker oligonucleotides may also be attached to target DNA fragments to facilitate insertion into the vector. These vector and adapter sequences are sequenced concomitantly with the target, or insert, sequence and represent contamination which must be removed from the dataset prior to analysis. Removal of such contamination can be accomplished by screening the dataset against the known sequence of the vector and adapter used to generate the data. However, often in the case of public or collaborator datasets, information regarding these contaminant sequences may be incorrect or absent, resulting in an incomplete screening. We've created a piece of software, VecFinder, which is able to identify the sequence of the vector and adapter from the read sequences alone and subsequently remove it. This alleviates the dependence on the library creators to provide the vector and adapter sequences used for the library. It also automates the previously manual task of identifying and screening the adapter or linker sequence, which can be tedious and time-consuming

  2. Network-based statistical comparison of citation topology of bibliographic databases

    E-Print Network [OSTI]

    Šubelj, Lovro; Bajec, Marko

    2015-01-01T23:59:59.000Z

    Modern bibliographic databases provide the basis for scientific research and its evaluation. While their content and structure differ substantially, there exist only informal notions on their reliability. Here we compare the topological consistency of citation networks extracted from six popular bibliographic databases including Web of Science, CiteSeer and arXiv.org. The networks are assessed through a rich set of local and global graph statistics. We first reveal statistically significant inconsistencies between some of the databases with respect to individual statistics. For example, the introduced field bow-tie decomposition of DBLP Computer Science Bibliography substantially differs from the rest due to the coverage of the database, while the citation information within arXiv.org is the most exhaustive. Finally, we compare the databases over multiple graph statistics using the critical difference diagram. The citation topology of DBLP Computer Science Bibliography is the least consistent with the rest, w...

  3. 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

  4. 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

  5. Photon statistics dispersion in excitonic composites

    E-Print Network [OSTI]

    G. Ya. Slepyan; S. A. Maksimenko

    2006-05-22T23:59:59.000Z

    Linear media are predicted to exist whose relative permiability is an operator in the space of quantum states of light. Such media are characterized by a photon statistics--dependent refractive index. This indicates a new type of optical dispersion -- the photon statistics dispersion. Interaction of quantum light with such media modifies the photon number distribution and, in particular, the degree of coherence of light. An excitonic composite -- a collection of noninteracting quantum dots -- is considered as a realization of the medium with the photon statistics dispersion. Expressions are derived for generalized plane waves in an excitonic composite and input--output relations for a planar layer of the material. Transformation rules for different photon initial states are analyzed. Utilization of the photon statistics dispersion in potential quantum--optical devices is discussed.

  6. Generalized binomial distribution in photon statistics

    E-Print Network [OSTI]

    Aleksey Ilyin

    2014-11-20T23:59:59.000Z

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

  7. Springer Series in Statistics Trevor Hastie

    E-Print Network [OSTI]

    Tibshirani, Robeert

    of Statistical Learning Data Mining,Inference,and Prediction Second Edition #12;This is page v Printer: Opaque. Additive Models, Trees, and Related Methods 10. Boosting and Additive Trees New example from ecology; some

  8. 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 ...

  9. Statistical Risk Estimation for Communication System Design

    E-Print Network [OSTI]

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

  10. Statistical analysis of correlated fossil fuel securities

    E-Print Network [OSTI]

    Li, Derek Z

    2011-01-01T23:59:59.000Z

    Forecasting the future prices or returns of a security is extraordinarily difficult if not impossible. However, statistical analysis of a basket of highly correlated securities offering a cross-sectional representation of ...

  11. Statistical criteria for characterizing irradiance time series.

    SciTech Connect (OSTI)

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

    2010-10-01T23:59:59.000Z

    We propose and examine several statistical criteria for characterizing time series of solar irradiance. Time series of irradiance are used in analyses that seek to quantify the performance of photovoltaic (PV) power systems over time. Time series of irradiance are either measured or are simulated using models. Simulations of irradiance are often calibrated to or generated from statistics for observed irradiance and simulations are validated by comparing the simulation output to the observed irradiance. Criteria used in this comparison should derive from the context of the analyses in which the simulated irradiance is to be used. We examine three statistics that characterize time series and their use as criteria for comparing time series. We demonstrate these statistics using observed irradiance data recorded in August 2007 in Las Vegas, Nevada, and in June 2009 in Albuquerque, New Mexico.

  12. ALICIA L. CARRIQUIRY Department of Statistics

    E-Print Network [OSTI]

    Carriquiry, Alicia

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

  13. Intelligent Transportation Systems Deployment Statistics Database

    E-Print Network [OSTI]

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

  14. Statistical Models for Next Generation Sequencing Data

    E-Print Network [OSTI]

    Wang, Yiyi

    2013-04-01T23:59:59.000Z

    prior indexed by distances from Gene Ontology (GO). The use of the external biological information yields improvements in statistical power over the original Bayesian discovery procedure. The third model addresses the problem of identifying protein...

  15. Kansas Statistical Abstract 2008 (43rd Edition)

    E-Print Network [OSTI]

    Policy Research Institute

    2009-09-21T23:59:59.000Z

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

  16. Kansas Statistical Abstract 2009 (44th Edition)

    E-Print Network [OSTI]

    Policy Research Institute

    2011-03-02T23:59:59.000Z

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

  17. UTM Well Coordinates for the Boise Hydrogeophysical Research...

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License Creative Commons Attribution 4.0 Open Data Author University of...

  18. Projecting Continental U.S. Water Stress Based on Global Datasets

    SciTech Connect (OSTI)

    Parish, Esther S [ORNL; Kodra, Evan [Northeastern University; Steinhaeuser, Karsten [University of Minnesota; Ganguly, Auroop R [Northeastern University

    2012-01-01T23:59:59.000Z

    Human populations may be adversely impacted by water stress, a situation which is commonly defined as a per capita water availability of less than 1700 cubic meters of freshwater per person per year. Water stress may result from either overuse of available freshwater resources or a reduction in the amount of available water due to decreases in rainfall and stored water supplies. Analyzing the interrelationship between human populations and water availability is complicated by the uncertainties associated with climate change projections and population projections. We have developed a simple methodology to integrate disparate climate and population data sources and develop first-order per capita water availability projections at the global scale. Simulations from the coupled land-ocean-atmosphere Community Climate System Model version 3 (CCSM3) forced with a range of hypothetical greenhouse gas emissions scenarios have been used to project grid-based changes in precipitation minus evapotranspiration as proxies for changes in runoff, or fresh water supply. Population growth changes, according to Intergovernmental Panel on Climate Change (IPCC) storylines, have been used as proxies for changes in fresh water demand by 2025, 2050 and 2100. These freshwater supply and demand projections have then been combined to yield estimates of per capita water availability aggregated by U.S. watershed. Results suggest that important insights might be extracted from the use of the process developed here, including the identification of potentially vulnerable areas in need of more detailed analysis. This high-level analysis also illustrates the relative importance of population growth versus climate change in in altering future freshwater supplies. However, these are only exemplary insights and, as such, could be considered hypotheses that should be rigorously tested with multiple climate models, multiple observational climate datasets, and more comprehensive population growth projections.

  19. Statistics of particle time-temperature histories.

    SciTech Connect (OSTI)

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

    2014-10-01T23:59:59.000Z

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

  20. Survey Research Adapting to a Population Increasingly Highly-Segmented, Socially-Disintegrated, and Heavily-

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    a fellow of the American Statistical Association in 1982, elected a member of the International Statistical of Sciences, in 2004. He was the Census Bureau's associate director for Statistical Design, Methodology one of the 50 most influential books in survey research by the American Association of Public Opinion

  1. July 1997 New Researchers 1 Some thoughts from half a

    E-Print Network [OSTI]

    Tibshirani, Robeert

    July 1997 New Researchers 1 ' & $ % Some thoughts from half a career in Statistics New Researchers Conference July 24, 1997 Robert Tibshirani University of Toronto Email: tibs@utstat.toronto.edu Ftp: utstat.toronto.edu: pub/tibs http://www.utstat.toronto.edu/tibs Thanks to NSERC. #12; July 1997 New Researchers 2

  2. Accurate Analysis of Large Datasets of Protein-Ligand Binding Geometries Using a Linear Clustering Method Based on MapReduce

    E-Print Network [OSTI]

    Maccabe, Barney

    are traditionally scored based on energy values. A protein-ligand complex selected because Accurate Analysis of Large Datasets of Protein-Ligand Binding Geometries for classifying protein-ligand binding geometries in molecular docking. We analyze results

  3. Statistical examination of climatological data relevant to global temperature variation. Final report

    SciTech Connect (OSTI)

    Gray, H.L.; Gunst, R.F.; Woodward, W.A.

    1998-07-01T23:59:59.000Z

    Advanced statistical procedures have been developed to analyze and model climatological data. Research has focused on the following areas: testing the global temperature series for trend; the effect of initial conditions on autoregressive models for global temperature data; long memory modeling of the carbon dioxide data; and spatial modeling of global temperature data.

  4. Submitted to Journal of Biomechanics, July 2008; in revised form May 2009. Statistical Osteoporosis Models Using

    E-Print Network [OSTI]

    Rumpf, Martin

    Submitted to Journal of Biomechanics, July 2008; in revised form May 2009. Statistical Osteoporosis Rumpf Hans-Joachim Wilke Osteoporosis is a widely spread disease with severe consequences for patients and the mechanisms leading to fractures of trabecular bone due to osteoporosis, numerous researchers employ micro

  5. An Exact Modeling of Signal Statistics in Energy-integrating X-ray Computed Tomography

    E-Print Network [OSTI]

    An Exact Modeling of Signal Statistics in Energy-integrating X-ray Computed Tomography Yi Fan1 used by modern computed tomography (CT) scanners and has been an interesting research topic 1. INTRODUCTION In x-ray computed tomography (CT), Poisson noise model has been widely used in noise

  6. Statistical distributions for Hamiltonian systems coupled to energy reservoirs and applications to molecular energy

    E-Print Network [OSTI]

    Ebeling, Werner

    Statistical distributions for Hamiltonian systems coupled to energy reservoirs and applications to molecular energy conversion W. Ebeling Institute of Physics, Humboldt-University, Newtonstr. 19, Berlin, Germany and Mark Kac Complex Systems Research Center, Jagellonian University, Reymonta 4, Krak´ow, Poland

  7. Calibration in High-Energy Astrophysics Statistical Methods

    E-Print Network [OSTI]

    van Dyk, David

    Calibration in High-Energy Astrophysics Statistical Methods Statistical Computation Empirical Illustrations Accounting for Calibration Uncertainty: High Energy Astrophysics and the PCG Sampler David A. van Dyk Accounting for Calibration Uncertainty #12;Calibration in High-Energy Astrophysics Statistical

  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. Nonparametric Comparison of Densities Based on Statistical Bootstrap

    E-Print Network [OSTI]

    Nonparametric Comparison of Densities Based on Statistical Bootstrap De Brabanter, K.1 , Sahhaf, S. Keywords: Statistical Bootstrap, Variance Stabilization, Least Squares Support Vector Machines, Hypothesis on statistical bootstrap with variance stabilization and a nonparametric kernel density estimator, assisting

  10. Statistical Models for Images: Compression, Restoration and Synthesis

    E-Print Network [OSTI]

    Simoncelli, Eero

    /or nonlinear transfor­ mations, into statistically independent components. The classical approach, and the Sloan Center for Theoretical Neurobiology at NYU. 1. Wavelet Marginal Statistical Model Recently, multiStatistical Models for Images: Compression, Restoration and Synthesis Eero P. Simoncelli Center

  11. "!#$%&'$(0)132"45)(06)7 Mathematics -Math Education -Statistics

    E-Print Network [OSTI]

    Maxwell, Bruce D.

    of the American Statistical Association ­ Marty Hamilton · President's Excellence in Teaching Award ­ Ted Hodgson · Montana Chapter of the American Statistical Association ­ Marty Hamilton - Vice President ­ Sherry Heis ¢¡¤£¦¥¨§©¡© "!#¥$©%&¡'¥$©(0)1¥32"45)¤(0¡6)¤¡¤7 Mathematics - Math Education - Statistics MSU

  12. STANLEY WARNER'S CONTRIBUTIONS TO STATISTICALLY BALANCED INFORMATION TECHNOLOGY

    E-Print Network [OSTI]

    Federation? 3. Should the American Statistical Association adopt a program to certify statisticians? 4 Statistical Association, Stanley Warner first presented the issue of measuring the impact of advocacySTANLEY WARNER'S CONTRIBUTIONS TO STATISTICALLY BALANCED INFORMATION TECHNOLOGY Stephen E. Fienberg

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

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

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

  14. Research Gallery

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

    Environmental Monitoring and Research Nanotechnology: The Science of the Small Algae to Biofuels: Squeezing Power from Pond Scum Living with Wildfire: A Shared Community...

  15. Nuclear Forensic Inferences Using Iterative Multidimensional Statistics

    SciTech Connect (OSTI)

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

    2009-06-09T23:59:59.000Z

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

  16. Vehicle Technologies Office: Data and Analysis for Transportation Research

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy (DOE) — in conjunction with the national laboratories — conducts a wide range of statistical research on energy use, economics, and trends in transportation.

  17. Shared Research Computing Policy Advisory Committee November 9, 2011

    E-Print Network [OSTI]

    Qian, Ning

    , Chairman of the Department of Statistics Proposed Initial Membership All Basic Science and Engineering partners o Chair of Economics o Executive Director of PER (Program for Economic Research) o Co

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

    E-Print Network [OSTI]

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

    2006-11-08T23:59:59.000Z

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

  19. Fact #602: December 21, 2009 Freight Statistics by Mode, 2007...

    Energy Savers [EERE]

    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...

  20. Bell's fifth position is not supported by supermartingale statistics

    E-Print Network [OSTI]

    J. F. Geurdes

    2013-03-19T23:59:59.000Z

    It is demonstrated that the supermartingale statistics approach of Gill to the CHSH contrast contains a physical (and statistical) unrealistic assumption.

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

    Office of Science (SC) Website

    Policies and Processes User Statistics Collection Practices User Statistics Collection Practices Archives User Facilities User Facilities Home User Facilities at a Glance...

  2. assessment statistical power: Topics by E-print Network

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

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

  3. applying statistical methods: Topics by E-print Network

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

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

  4. Statistical Design, Analysis and Graphics for the Guadalupe

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    da Silva, Robert Louis

    2014-01-01T23:59:59.000Z

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

  6. Integrative analysis of heterogeneous genomic datasets to discover genetic etiology of autism spectrum disorders

    E-Print Network [OSTI]

    Nazeen, Sumaiya

    2014-01-01T23:59:59.000Z

    Understanding the genetic background of complex diseases is crucial to medical research, with implications to diagnosis, treatment and drug development. As molecular approaches to this challenge are time consuming and ...

  7. iSAX: disk-aware mining and indexing of massive time series datasets

    E-Print Network [OSTI]

    Shieh, Jin; Keogh, Eamonn

    2009-01-01T23:59:59.000Z

    on both indexing and data mining problems. Finally, in Sect.0125-6 iSAX: disk-aware mining and indexing of massive timeCurrent research in indexing and mining time series data has

  8. Researchers, Appointments

    E-Print Network [OSTI]

    in Aviation Gas Turbine Combustion/Emissions Research and Design System Optimization (UTIAS) Luca ScardoviInnovative Researchers, Devoted Educators Academic Appointments 2009­2012 #12;Innovative is a centre of immense inspiration, remarkable innovation and endless possibilities. And since 2009, we have

  9. Local asymptotic normality in quantum statistics

    E-Print Network [OSTI]

    Madalin Guta; Anna Jencova

    2007-05-24T23:59:59.000Z

    The theory of local asymptotic normality for quantum statistical experiments is developed in the spirit of the classical result from mathematical statistics due to Le Cam. Roughly speaking, local asymptotic normality means that the family varphi_{\\theta_{0}+ u/\\sqrt{n}}^{n} consisting of joint states of n identically prepared quantum systems approaches in a statistical sense a family of Gaussian state phi_{u} of an algebra of canonical commutation relations. The convergence holds for all "local parameters" u\\in R^{m} such that theta=theta_{0}+ u/sqrt{n} parametrizes a neighborhood of a fixed point theta_{0}\\in Theta\\subset R^{m}. In order to prove the result we define weak and strong convergence of quantum statistical experiments which extend to the asymptotic framework the notion of quantum sufficiency introduces by Petz. Along the way we introduce the concept of canonical state of a statistical experiment, and investigate the relation between the two notions of convergence. For reader's convenience and completeness we review the relevant results of the classical as well as the quantum theory.

  10. Postdoctoral Research Awards Annual Research Meeting: Padmaja...

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

    Padmaja Gunda Postdoctoral Research Awards Annual Research Meeting: Padmaja Gunda Poster Presentation at 2012 EERE Annual Research Meeting, Postdoctoral Research Awards, from the...

  11. Postdoctoral Research Awards Annual Research Meeting: Brandon...

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

    Brandon Mercado Postdoctoral Research Awards Annual Research Meeting: Brandon Mercado Poster Presentation at 2012 EERE Annual Research Meeting, Postdoctoral Research Awards, from...

  12. Tennessee Energy Statistics Quarterly. Second quarter 1984

    SciTech Connect (OSTI)

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

    1985-01-01T23:59:59.000Z

    The Tennessee Energy Statistics Quarterly presents the most current energy statistics available which are specific to the State of Tennessee. In every instance possible, county-level energy data are also shown. The report covers three substantive areas of the energy flow production, consumption, and pricing. The specific energy types for which data are included are coal, petroleum, natural gas and electricity. The Tennessee Energy Statistics Quarterly has been developed by the Tennessee Energy Data Base Program to serve as a supplement to the Energy Division publication - The Tennessee Energy Profiles: 1960-1980. Historical data reported in this volume cover the production and utilization of major energy supplies by fuel type and economic sectors, as well as other energy data such as prices and fuel distribution. 12 figures, 12 tables.

  13. Spin-statistics violations in superstring theory

    SciTech Connect (OSTI)

    Jackson, Mark G. [Particle Astrophysics Center and Theory Group, Fermi National Accelerator Laboratory, Batavia, Illinois 60510 (United States)

    2008-12-15T23:59:59.000Z

    I describe how superstring theory may violate spin statistics in an experimentally observable manner. Reviewing the basics of superstring interactions and how to utilize these to produce a statistical phase, I then apply these ideas to two specific examples. The first is the case of heterotic world sheet linkings, whereby one small closed string momentarily enlarges sufficiently to pass over another, producing such a statistical phase. The second is the braneworld model with noncommutative geometry, whereby matter composed of open strings may couple to a background in which spacetime coordinates do not commute, modifying the field (anti)commutator algebra. I conclude with ways to sharpen and experimentally test these exciting avenues to possibly verify superstring theory.

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

    E-Print Network [OSTI]

    Reed, W.J.

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

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

    E-Print Network [OSTI]

    Bolch, Tobias

    to understand measurement systems variability, control processes (as #12;in statistical process control or SPC and uncertainty. Origin The word statistics comes from - the modern Latin phrase statisticum collegium (lecture whatever we can observe. This requires us to - plan our observations to control their variability

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

    E-Print Network [OSTI]

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

    2004-06-22T23:59:59.000Z

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

  17. Research | NREL

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > TheNuclear Press ReleasesIn the Inorganic PV thrust,ResearchResearch

  18. On the explanation for quantum statistics

    E-Print Network [OSTI]

    Simon Saunders

    2005-11-15T23:59:59.000Z

    The concept of classical indistinguishability is analyzed and defended against a number of well-known criticisms, with particular attention to the Gibbs' paradox. Granted that it is as much at home in classical as in quantum statistical mechanics, the question arises as to why indistinguishability, in quantum mechanics but not in classical mechanics, forces a change in statistics. The answer, illustrated with simple examples, is that the equilibrium measure on classical phase space is continuous, whilst on Hilbert space it is discrete. The relevance of names, or equivalently, properties stable in time that can be used as names, is also discussed.

  19. Spectral statistics of nearly unidirectional quantum graphs

    E-Print Network [OSTI]

    Maram Akila; Boris Gutkin

    2015-03-04T23:59:59.000Z

    The energy levels of a quantum graph with time reversal symmetry and unidirectional classical dynamics are doubly degenerate and obey the spectral statistics of the Gaussian Unitary Ensemble. These degeneracies, however, are lifted when the unidirectionality is broken in one of the graph's vertices by a singular perturbation. Based on a Random Matrix model we derive an analytic expression for the nearest neighbour distribution between energy levels of such systems. As we demonstrate the result agrees excellently with the actual statistics for graphs with a uniform distribution of eigenfunctions. Yet, it exhibits quite substantial deviations for classes of graphs which show strong scarring.

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

    E-Print Network [OSTI]

    Bernd Kuckert; Reinhard Lorenzen

    2005-12-21T23:59:59.000Z

    The analysis of the relation between modular P$_1$CT-symmetry -- a consequence of the Unruh effect -- and Pauli's spin-statistics relation is continued. The result in the predecessor to this article is extended to the Lorentz symmetric situation. A model $\\G_L$ of the universal covering $\\widetilde{L_+^\\uparrow}\\cong SL(2,\\complex)$ of the restricted Lorentz group $L_+^\\uparrow$ is modelled as a reflection group at the classical level. Based on this picture, a representation of $\\G_L$ is constructed from pairs of modular P$_1$CT-conjugations, and this representation can easily be verified to satisfy the spin-statistics relation.

  1. Statistical data of the uranium industry

    SciTech Connect (OSTI)

    none,

    1982-01-01T23:59:59.000Z

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

  2. AR Researchers

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

    for fixed-wing unmanned aerial vehicles with an emphasis in cooperative unmanned vehicle research and intelligent remote sensing. Cal Christensen, M.S., P.E., P.M.P Cal...

  3. arXiv:physics/001003915Oct2000 Maximally Informative Statistics

    E-Print Network [OSTI]

    George, Edward I.

    arXiv:physics/001003915Oct2000 Maximally Informative Statistics Maximally Informative Statistics: egeorge@mail.utexas.edu Revision history: April 1996. Presented Bayesian Statistics 6, Valencia, 1998 of sufficiency, relevance, and representation. Maximally informative statistics are shown to minimize a Kullback

  4. What can I do with a degree in Statistics?

    E-Print Network [OSTI]

    Hickman, Mark

    What can I do with a degree in Statistics? ENGINEERING Planning your career Choosing a career.canterbury.ac.nz/liaison/best_prep.shtml What is Statistics? Statistics is a rapidly advancing science. It is a very broad subject with many branches. These range from statistical theory to its application in biology, medicine, the social sciences

  5. 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

  6. Computer Models in Astronomy and Statistics Stellar Evolution

    E-Print Network [OSTI]

    van Dyk, David

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

  7. 1 888 939 3333 | cancer.ca Cancer Statistics

    E-Print Network [OSTI]

    Habib, Ayman

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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. Constructing a Merged Cloud-Precipitation Radar Dataset for Tropical Convective Clouds during the DYNAMO/AMIE Experiment at Addu Atoll

    SciTech Connect (OSTI)

    Feng, Zhe; McFarlane, Sally A.; Schumacher, Courtney; Ellis, Scott; Comstock, Jennifer M.; Bharadwaj, Nitin

    2014-05-16T23:59:59.000Z

    To improve understanding of the convective processes key to the Madden-Julian-Oscillation (MJO) initiation, the Dynamics of the MJO (DYNAMO) and Atmospheric Radiation Measurement MJO Investigation Experiment (AMIE) collected four months of observations from three radars, the S-band Polarization Radar (S-Pol), the C-band Shared Mobile Atmospheric Research & Teaching Radar (SMART-R), and Ka-band Zenith Radar (KAZR) on Addu Atoll in the tropical Indian Ocean. This study compares the measurements from the S-Pol and SMART-R to those from the more sensitive KAZR in order to characterize the hydrometeor detection capabilities of the two scanning precipitation radars. Frequency comparisons for precipitating convective clouds and non-precipitating high clouds agree much better than non-precipitating low clouds for both scanning radars due to issues in ground clutter. On average, SMART-R underestimates convective and high cloud tops by 0.3 to 1.1 km, while S-Pol underestimates cloud tops by less than 0.4 km for these cloud types. S-Pol shows excellent dynamic range in detecting various types of clouds and therefore its data are well suited for characterizing the evolution of the 3D cloud structures, complementing the profiling KAZR measurements. For detecting non-precipitating low clouds and thin cirrus clouds, KAZR remains the most reliable instrument. However, KAZR is attenuated in heavy precipitation and underestimates cloud top height due to rainfall attenuation 4.3% of the time during DYNAMO/AMIE. An empirical method to correct the KAZR cloud top heights is described, and a merged radar dataset is produced to provide improved cloud boundary estimates, microphysics and radiative heating retrievals.

  14. Statistical mechanics of hot dense matter

    SciTech Connect (OSTI)

    More, R.

    1986-10-01T23:59:59.000Z

    Research on properties of hot dense matter produced with high intensity laser radiation is described in a brief informal review.

  15. 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

  16. 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

  17. 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

  18. Spectral statistics for scaling quantum graphs

    E-Print Network [OSTI]

    Yu. Dabaghian

    2006-08-09T23:59:59.000Z

    The explicit solution to the spectral problem of quantum graphs is used to obtain the exact distributions of several spectral statistics, such as the oscillations of the quantum momentum eigenvalues around the average, $\\delta k_{n}=k_{n}-\\bar k_{n}$, and the nearest neighbor separations, $s_{n}=k_{n}-k_{n-1}$.

  19. Statistical High-Level Synthesis under Process

    E-Print Network [OSTI]

    Giles, C. Lee

    designers is process variability, which causes considerable fluctu- ations in performance and power with variability has be- come one of the major design focuses for nanoscale VLSI design. Traditionally, performanceStatistical High-Level Synthesis under Process Variability Yuan Xie and Yibo Chen Pennsylvania

  20. KALMAN FILTERING WITH STATISTICAL STATE CONSTRAINTS

    E-Print Network [OSTI]

    Simon, Dan

    KALMAN FILTERING WITH STATISTICAL STATE CONSTRAINTS T. L. Chia ControlSoft Inc. 5387 Avion Park with white process and measurement noise, the Kalman ¯lter is known to be the minimum variance linear state estimator. In the case that the random quantities are Gaussian, then the Kalman ¯lter is the minimim