National Library of Energy BETA

Sample records for openei statistics wiki

  1. WikiSysop's blog | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEtGeorgia: EnergyMaryland:MeadowWikiSysop's blog Home > Blogs WikiSysop's

  2. How do I push or pull bulk wiki pages from OpenEI mediawiki instance...

    Open Energy Info (EERE)

    on this Please check out http:en.openei.orgcommunityblogopenei-downloadupload-automation-scripts Rmckeel on 10 October, 2012 - 11:00 Groups Menu You must login in order to...

  3. wiki | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'SHeavyAgencyTendo NewYanbu, Saudideveloper Homeroadmap Homeutilitywiki

  4. OpenEI Community - wiki

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg, Oregon:OGE EnergyOklahoma:Visualizing OpenEIHow to create

  5. OpenEI: Datasets in the OpenEnergyInfo Data Repository

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

    The Open Energy Information initiative (OpenEI) is a platform to connect the world's energy data. It is a linked open data platform bringing together energy information to provide improved analyses, unique visualizations, and real-time access to data. OpenEI follows guidelines set by the White House Open Government Initiative , which is focused on transparency, collaboration, and participation. OpenEI strives to provide open access to this energy information, with the ultimate goal of spurring creativity and driving innovation in the energy sector.[Copied from the OpenEI Wiki main page]. It features a wiki, a blog, a list of information gateways, and a browsing list of deposited data sets.

  6. Geothermal Exploration Case Studies on OpenEI (Presentation)

    SciTech Connect (OSTI)

    Young, K.; Bennett, M.; Atkins, D.

    2014-03-01

    The U.S. Geological Survey (USGS) resource assessment (Williams et al., 2008) outlined a mean 30 GWe of undiscovered hydrothermal resource in the western United States. One goal of the U.S. Department of Energy's (DOE) Geothermal Technology Office (GTO) is to accelerate the development of this undiscovered resource. DOE has focused efforts on helping industry identify hidden geothermal resources to increase geothermal capacity in the near term. Increased exploration activity will produce more prospects, more discoveries, and more readily developable resources. Detailed exploration case studies akin to those found in oil and gas (e.g. Beaumont and Foster, 1990-1992) will give developers central location for information gives models for identifying new geothermal areas, and guide efficient exploration and development of these areas. To support this effort, the National Renewable Energy Laboratory (NREL) has been working with GTO to develop a template for geothermal case studies on the Geothermal Gateway on OpenEI. In 2012, the template was developed and tested with two case studies: Raft River Geothermal Area (http://en.openei.org/wiki/Raft_River_Geothermal_Area) and Coso Geothermal Area (http://en.openei.org/wiki/Coso_Geothermal_Area). In 2013, ten additional case studies were completed, and Semantic MediaWiki features were developed to allow for more data and the direct citations of these data. These case studies are now in the process of external peer review. In 2014, NREL is working with universities and industry partners to populate additional case studies on OpenEI. The goal is to provide a large enough data set to start conducting analyses of exploration programs to identify correlations between successful exploration plans for areas with similar geologic occurrence models.

  7. SmartGrid: Quarterly Data Summaries from the Data Hub and SmartGrid Project Information (from OpenEI and SmartGrid.gov)

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

    Both OpenEI and SmartGrid.gov are DOE portals to a wealth of information about the federal initiatives that support the development of the technologies, policies and projects transforming the electric power industry. Projects funded through the U.S. Recovery Act are organized by type and pinned to an interactive map at http://en.openei.org/wiki/Gateway:Smart_Grid. Each project title links to more detailed information. The Quarterly Data Summaries from the Data Hub at SmartGrid.gov are also available on OpenEI at http://en.openei.org/datasets/node/928. In addition, the SmartGrid Information Center contains documents and reports that can be searched or browsed. Smart Grid Resources introduces international SmartGrid programs and sites, while OpenEI encourages users to add SmartGrid information to the repository.

  8. How to create formatted blocks to hold OpenEI wiki content | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar2-0057-EA JumpDuimen RiverScoring Tool Jump to:Ethanol LLCJump to:|Develop

  9. Discussion Boards, Blogs, Wikis & Journals Discussion Boards......................................................................................................................... 2

    E-Print Network [OSTI]

    Balasuriya, Sanjeeva

    MyUni - Discussion Boards, Blogs, Wikis & Journals Discussion Boards ............................................................................ 5 Blogs.............................................................................................................................................. 7 Create a Blog

  10. statistics | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowa (UtilityMichigan)data bookresult formats Home

  11. OpenEI Community - statistics

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for downloadGRR 3rd Quarter

  12. Campus Pack Blogs, Wikis & Journals August 2, 2014 Release

    E-Print Network [OSTI]

    Yorke, James

    Campus Pack Blogs, Wikis & Journals August 2, 2014 Release Campus Pack has introduced a new version Navigation Navigate through the wiki (blog, journal) pages by clicking the "Pages" button in the upper left. All of the pages will be listed. Click the "Add New Page" button to add pages to the blog, wiki

  13. Design wiki: a system for design sharing

    E-Print Network [OSTI]

    Design wiki: a system for design sharing Wael A. Abdelhameed, Yoshihiro Kobayashi #12;Wael of Bahrain. His research areas are 3D Modeling Systems, Computing Architecture, Virtual Reality, Design Process, Visual Design Thinking and Digital and Manual Media Interaction. Yoshihiro Kobayashi is a Faculty

  14. Geothermal NEPA Database on OpenEI (Poster)

    SciTech Connect (OSTI)

    Young, K. R.; Levine, A.

    2014-09-01

    The National Renewable Energy Laboratory (NREL) developed the Geothermal National Environmental Policy Act (NEPA) Database as a platform for government agencies and industry to access and maintain information related to geothermal NEPA documents. The data were collected to inform analyses of NEPA timelines, and the collected data were made publically available via this tool in case others might find the data useful. NREL staff and contractors collected documents from agency websites, during visits to the two busiest Bureau of Land Management (BLM) field offices for geothermal development, and through email and phone call requests from other BLM field offices. They then entered the information into the database, hosted by Open Energy Information (http://en.openei.org/wiki/RAPID/NEPA). The long-term success of the project will depend on the willingness of federal agencies, industry, and others to populate the database with NEPA and related documents, and to use the data for their own analyses. As the information and capabilities of the database expand, developers and agencies can save time on new NEPA reports by accessing a single location to research related activities, their potential impacts, and previously proposed and imposed mitigation measures. NREL used a wiki platform to allow industry and agencies to maintain the content in the future so that it continues to provide relevant and accurate information to users.

  15. Impact of a dermatology wiki website on dermatology education

    E-Print Network [OSTI]

    2015-01-01

    end of your education? _______________________ What is yourwebsite on dermatology education *Chante Karimkhani BA 1 , *The Dermatology Education Wiki (dermwiki) website serves as

  16. Brede Wiki: Neuroscience data structured in a wiki Finn Arup Nielsen

    E-Print Network [OSTI]

    data can be extracted and represented in SQL. From an SQL database specialized search can be per and links. Links are constructed in the template definitions. #12;' & $ % SQL of template data SQL can in SQL. Two kinds of SQL tables are constructed from the Brede Wiki template data: 1. One master table

  17. NAMA Database Wiki | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to: navigation,Mereg GmbHMontebalitoMtMxEnergyDatabase Wiki Jump to:

  18. ClimateTechWiki | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, Alabama (Utility Company) Jump to:NewMinnesota:ProtectionClimateTechWiki Jump to:

  19. How do I push or pull bulk wiki pages from OpenEI mediawiki instance? |

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar2-0057-EA JumpDuimen RiverScoring Tool Jump to:Ethanol LLCJump to:|

  20. Semantic MediaWiki GeoChart | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg,EnergyEastCarbonOpenSchulthess GroupSmartSellafield

  1. Web 2.0 Wiki technology : enabling technologies, community behaviors, and successful business techniques and models

    E-Print Network [OSTI]

    Davidi, Ilana

    2007-01-01

    Many technologies fall under the umbrella of what is commonly known as "Web 2.0," including the Wiki, a software product which allows multiple users to review and edit documents online. Like all Web 2.0 technologies, Wikis ...

  2. Teaching Engineering with Wikis* BUGRAHAN YALVAC and MEHMET C. AYAR

    E-Print Network [OSTI]

    Wilensky, Uri

    an asynchronous and egalitarian learning medium, to have students negotiate and construct knowledge, and to have environments offer to the traditional teaching-learning context is the online communication medium. Using is an epistemologically different practice from students writing individual papers. A wiki-supported learning environment

  3. A fielded wiki for personality genetics Finn rup Nielsen

    E-Print Network [OSTI]

    data from genetic association studies on Alzheimer, schizophre- nia and Parkinson diseasesA fielded wiki for personality genetics Finn Årup Nielsen DTU Informatics Technical University in the personality genetics domain. Papers in this domain typically report the mean and standard devi- ation

  4. One level deeper: Polymorphism wiki Finn Arup Nielsen

    E-Print Network [OSTI]

    ., 2008) about genes in Wikipedia on PLoS Biology web-site. 1 Details First name : Finn °Arup Last name of the encyclopedia. In a recent work ("Clustering Scientific Citations in Wikipedia", Wikimania conference 2008) I., and Su, A. I. (2008). A gene wiki for community annotation of gene function. PLoS Biology, 6(7):5175. 1

  5. Visualizing OpenEI Data | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowa (Utility Company)Idaho) JumpWinside,Visualization HomeVisualizing OpenEI

  6. OpenEI Community - imported

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg, Oregon:OGE EnergyOklahoma:Visualizing OpenEI Data

  7. OpenEI Community - permitting

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg, Oregon:OGE EnergyOklahoma:Visualizing OpenEI DataTexas Legal

  8. OpenEI Community - roadmap

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg, Oregon:OGE EnergyOklahoma:Visualizing OpenEI DataTexas

  9. town | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowa (UtilityMichigan)data bookresult formats Homestormtext intown Home OpenEI

  10. An Investigation into the use of wikis for collaborative writing in L2 academic writing workshops. A pilot study 

    E-Print Network [OSTI]

    Chetty, Gillian

    2006-01-01

    Although public wikis have proven to be successful for collaborative writing projects, very few studies have investigated their use in L2 classes. This study sets out to explore the use of wikis for collaborative writing ...

  11. Assessing Collaborative Undergraduate Student Wikis and SVN with Technology-based Instrumentation

    E-Print Network [OSTI]

    Kim, Jihie

    Assessing Collaborative Undergraduate Student Wikis and SVN with Technology-based Instrumentation, involving the use of computer-based tools, including tools made available by the course instructor as well, a freely available revision control system, and Brainkeeper, a commercial Wiki product. Students also used

  12. How do I add tariffs into the OpenEI database | OpenEI Community

    Open Energy Info (EERE)

    database Home > Groups > Utility Rate Greetings: I am in Arizona APS territory where demand based residential tariffs are comming. I see NREL-SAM uses OpenEI as its database for...

  13. Exploration Best Practices and the OpenEI Knowledge Exchange...

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

    Exploration Best Practices and the OpenEI Knowledge Exchange Webinar slide presentation by Katherine Young, Timothy Reber and Kermit Witherbee on April 11, 2012....

  14. Energy Information, Data, and other Resources | OpenEI

    Open Energy Info (EERE)

    Explore our available Web services. REST - provides a RESTful wrapper around high-value data. Term extraction & content recommendation engine Documentation Also see: OpenEI search...

  15. T2Ku: Building a Semantic Wiki of Mathematics

    E-Print Network [OSTI]

    Pan, Minqi

    2012-01-01

    We introduce T2Ku, an open source project that aims at building a semantic wiki of mathematics featuring automated reasoning(AR) techniques. We want to utilize AR techniques in a way that truly helps mathematical researchers solve problems in the real world, instead of building another ambitious yet useless system. By setting this as our objective, we exploit pragmatic design decisions that have proven feasible in other projects, while still employs a loosely coupled architecture to allow better inference programs to be integrated in the future. In this paper, we state the motivations and examine state-of-the-art systems, why we are not satisfied with those systems and how we are going to improve. We then describe our architecture and the way we implemented the system. We present examples showing how to use its facilities. T2Ku is an on-going project. We conclude this paper by summarizing the development progress and encouraging the reader to join the project.

  16. OpenEI Community - utility rate

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg, Oregon:OGE EnergyOklahoma:Visualizing OpenEI DataTexasVersion

  17. OpenEI Community - web services

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg, Oregon:OGE EnergyOklahoma:Visualizing OpenEI

  18. OpenEI and Linked Open Data

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURINGEnergy Bills and ReduceNovemberDOE'sManagementOpenEI and Linked Open Data OpenEI:

  19. Idaho Meeting #1 | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam:on Openei | Open Energy2010)Texas) JumpFish &IS 61

  20. Idaho Meeting #2 | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam:on Openei | Open Energy2010)Texas) JumpFish &IS 61Idaho

  1. Invisible Entries | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam:on OpeneiAlbanianStudy) (Webinar) | OpenInvenergyInvisible

  2. OpenEI Community - Smartgrid.gov

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for download on OpenEI

  3. OpenEI Community - Sodium hypochlorite Market

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for download on OpenEI

  4. Energy Information, Data, and other Resources | OpenEI

    Open Energy Info (EERE)

    provides inline queries in the form of an Ask query, which can also be modified into a web service (see OpenEI REST services documentation). Ask queries can be executed here and...

  5. From Exam to Education: The Math Exam/Educational Resources wiki

    E-Print Network [OSTI]

    Fournier, John J.F.

    From Exam to Education: The Math Exam/Educational Resources wiki Abstract: The Math Educational), aimed at providing math education resources for students and instructors at UBC. In this paper, we, and a brief description of how the project was implemented. Keywords: educational learning resource, exam

  6. WikiPop -Personalized Event Detection System Based on Wikipedia Page View Statistics

    E-Print Network [OSTI]

    Nørvåg, Kjetil

    effectively notify him about the upcoming release of the documentary film re- lated to his favorite artist

  7. OpenEI launches new Water Power Gateway and Community Forum | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'S FUTURE.EnergyWoodenDate RecCompetition andCommunity OpenEI

  8. Open Energy Info (OpenEI) (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-12-01

    The Open Energy Information (OpenEI.org) initiative is a free, open-source, knowledge-sharing platform. OpenEI was created to provide access to data, models, tools, and information that accelerate the transition to clean energy systems through informed decisions.

  9. What Can OpenEI Do For You?

    ScienceCinema (OSTI)

    None

    2013-05-29

    Open Energy Information (OpenEI) is an open source web platform?similar to the one used by Wikipedia?developed by the US Department of Energy (DOE) and the National Renewable Energy Laboratory (NREL) to make the large amounts of energy-related data and information more easily searched, accessed, and used both by people and automated machine processes. Built utilizing the standards and practices of the Linked Open Data community, the OpenEI platform is much more robust and powerful than typical web sites and databases. As an open platform, all users can search, edit, add, and access data in OpenEI for free. The user community contributes the content and ensures its accuracy and relevance; as the community expands, so does the content's comprehensiveness and quality. The data are structured and tagged with descriptors to enable cross-linking among related data sets, advanced search functionality, and consistent, usable formatting. Data input protocols and quality standards help ensure the content is structured and described properly and derived from a credible source. Although DOE/NREL is developing OpenEI and seeding it with initial data, it is designed to become a true community model with millions of users, a large core of active contributors, and numerous sponsors.

  10. Statistics and the Modern Student

    E-Print Network [OSTI]

    Gould, Robert

    2010-01-01

    en.wikipedia.org/wiki/Citizen_science, viewed May 23, 2010).citizen scientist" has been in use long enough in science

  11. Statistics and the Modern Student

    E-Print Network [OSTI]

    Robert Gould

    2011-01-01

    en.wikipedia.org/wiki/Citizen_science, viewed May 23, 2010).citizen scientist" has been in use long enough in science

  12. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    Department of Statistics STATISTICS COLLOQUIUM MATTHEW STEPHENS Departments of Statistics and Human statistical methods in genomics, among other areas of application. A typical workflow consists of i

  13. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    Department of Statistics STATISTICS COLLOQUIUM KAMIAR RAD Department of Statistics Columbia carrying a finite total amount of information, the asymptotic sufficient statistics of the stimulus

  14. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    Department of Statistics STATISTICS COLLOQUIUM HUIBIN ZHOU Department of Statistics Yale University to obtain statistical inference for estimation of Gaussian Graphical Model? A regression approach

  15. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

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

  16. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

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

  17. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    Department of Statistics STATISTICS COLLOQUIUM ZONGMING MA Department of Statistics University (CCA) is a widely used multivariate statistical technique for exploring the relation between two sets

  18. Global Statistics

    E-Print Network [OSTI]

    Crow, Ben D

    2006-01-01

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

  19. Statistical Sciences

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

    LeeAnn Martinez (505) 667-3308 Email Find Expertise header Search our employee skills database Statistical Sciences Statistical Sciences provides statistical reasoning and...

  20. Increase Natural Gas Energy Efficiency | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam:on Openei |source History ViewInQbatorterm Content Group

  1. Increase Natural Gas Energy Efficiency | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam:on Openei |source History ViewInQbatorterm Content

  2. Increase Natural Gas Energy Efficiency | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam:on Openei |source History ViewInQbatorterm ContentGroups

  3. Initial Takeaways from the PM Workshop | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam:on Openei |sourceAnd CentralWorldInformaciónGeothermal

  4. Invisible Solar Energy Collection | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam:on OpeneiAlbanianStudy) (Webinar) |

  5. OpenEI Community - Sodium hypochlorite Market Research

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for download on OpenEI

  6. OpenEI Community - Sodium hypochlorite Market Share

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for download on OpenEI

  7. OpenEI Community - Sodium hypochlorite Market Size

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for download on OpenEI

  8. OpenEI Community - Sodium hypochlorite Market Trends

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for download on OpenEI

  9. STIL2 Swedish Office Buildings Survey - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License License Not Specified Author Swedish Energy Agency Contact OpenEI User...

  10. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    Department of Statistics STATISTICS COLLOQUIUM Joint seminar with Stevanovich Center PHILIPPE RIGOLLET Operations Research and Financial Engineering, Princeton University The Statistical Price to Pay ABSTRACT Computational limitations of statistical problems have largely been ignored or simply over- come

  11. 32. Statistics 1 32. STATISTICS

    E-Print Network [OSTI]

    Masci, Frank

    an overview of statistical methods used in High Energy Physics. In statistics, we are interested in using and their statistical uncertainties in High Energy Physics. In Bayesian statistics, the interpretation of probability32. Statistics 1 32. STATISTICS Revised September 2007 by G. Cowan (RHUL). This chapter gives

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    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

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    E-Print Network [OSTI]

    Department of Statistics STATISTICS COLLOQUIUM PO-LING LOH Department of Statistics University the seminar in Eckhart 110 ABSTRACT Noisy and missing data are prevalent in many real-world statistical, and provide theoretical guarantees for the statistical consistency of our methods. Although our estimators

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    E-Print Network [OSTI]

    Department of Statistics STATISTICS COLLOQUIUM ERNST WIT Statistics and Probability University devices collect a lot of information, typically about few independent statistical subjects or units statistics. In certain special cases the method can be tweaked to obtain L1-penalized GLM solution paths

  15. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    Department of Statistics STATISTICS COLLOQUIUM NOUREDDINE EL KAROUI Department of Statistics will discuss the behavior of widely used statistical methods in the high-dimensional setting where the number surprising statistical phenomena occur: for instance, maximum likelihood methods are shown to be (grossly

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    E-Print Network [OSTI]

    Department of Statistics STATISTICS COLLOQUIUM GONGJUN XU Department of Statistics Columbia University Statistical Inference for Diagnostic Classification Models MONDAY, February 18, 2013 at 4:00 PM-driven construction (estimation) of the Q-matrix and related statistical issues of DCMs. I will first give

  17. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    Department of Statistics STATISTICS COLLOQUIUM ROBERT NOWAK Department of Electrical and Computer-dimensional statistical models to capture the complexity of such problems. Most of the work in this direction has focused of statistical inference. These procedures automatically adapt the measurements in order to focus and optimize

  18. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    Department of Statistics STATISTICS COLLOQUIUM SRIRAM SANKARARAMAN Department of Genetics Harvard Medical School Statistical Models for Analyzing Ancient Human Admixture WEDNESDAY, January 21, 2015, at 4 become available, as well as appropriate statistical models. In the first part of my talk, I will focus

  19. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    Department of Statistics STATISTICS COLLOQUIUM PIOTR ZWIERNIK Department of Mathematics University of Genoa Understanding Statistical Models Through Their Geometry MONDAY, January 26, 2015, at 4:00 PM and Gaussian statistical models have a rich geometric structure and can be often viewed as algebraic sets

  20. Buildings Energy Data Book - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    a variety of data sets and includes statistics on residential and commercial building energy consumption. Data tables contain statistics related to construction, building...

  1. Widget:Motion Chart Visualization of OpenEI Traffic Statistics | Open

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowa (Utility Company)Idaho)VosslohWest PlainsAssn, IncEnergy Information

  2. Oil reserves -Wikipedia, the free encyclopedia http://en.wikipedia.org/wiki/Oil_reserves 1 of 14 5/16/2006 2:49 AM

    E-Print Network [OSTI]

    Dahlquist, Kam D.

    Oil reserves - Wikipedia, the free encyclopedia http://en.wikipedia.org/wiki/Oil_reserves 1 of 14 5/16/2006 2:49 AM Oil reserves From Wikipedia, the free encyclopedia Oil reserves refer to portions of oil in place that are recoverable under economic constraints. In comparison, oil in place, or STOOIP, meaning

  3. The SolarWiki Solar energy is the only inexhaustible energy source abundant enough to satisfy all the energy needs of our planet, but

    E-Print Network [OSTI]

    The SolarWiki Solar energy is the only inexhaustible energy source abundant enough to satisfy all the energy needs of our planet, but is only practical if an extensive solar-based infrastructure can of this infrastructure that efficiently harnesses solar energy is one of the greatest scientific, technological, economic

  4. 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

  5. Rainbow statistics

    E-Print Network [OSTI]

    Michele Arzano; Dario Benedetti

    2008-09-04

    Non-commutative quantum field theories and their global quantum group symmetries provide an intriguing attempt to go beyond the realm of standard local quantum field theory. A common feature of these models is that the quantum group symmetry of their Hilbert spaces induces additional structure in the multiparticle states which reflects a non-trivial momentum-dependent statistics. We investigate the properties of this "rainbow statistics" in the particular context of $\\kappa$-quantum fields and discuss the analogies/differences with models with twisted statistics.

  6. Introductory Statistics,

    E-Print Network [OSTI]

    Hunter, David

    , following the publication of Venables & Ripley (1994). [See p. 1. Where that takes a significantly better­Plus include dynamic graphics (x6.3, brush and spin) and the classical statistics functions (x9 environment. It will help to have the library ripley available --- it should be in the same source

  7. Statistics and the Sciences

    E-Print Network [OSTI]

    Jan de Leeuw

    2011-01-01

    with Real Data ? Annals Statistics, of 5:1055-1098, 1977.The Foundations of Statistics - Are There Any ? Synthese, [Statistics and the Sciences Jan de Leeuw UCLA Statistics

  8. Spike statistics

    E-Print Network [OSTI]

    J. Mark Heinzle; Claes Uggla

    2012-12-21

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

  9. Usage Statistics

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0 - 19PortalStatus UpdatesUsage Statistics Usage

  10. Generalizations of quantum statistics

    E-Print Network [OSTI]

    O. W. Greenberg

    2008-05-02

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

  11. Computing and Introductory Statistics

    E-Print Network [OSTI]

    Kaplan, Daniel

    2007-01-01

    W. , (2007) “The Introductory Statistics Course: A PtolemaicTechnology Innovations in Statistics Education,1, Article 1.and Introductory Statistics Daniel T. Kaplan Macalester

  12. Statistical Software - Overview

    E-Print Network [OSTI]

    de Leeuw, Jan

    2010-01-01

    Review of Statistical Software. International As- sociationStatistical Methods Need Software: A View of Statisti- calJournal of Statistical Software, 13, 2004. URL http://www.

  13. Statistical Software - Overview

    E-Print Network [OSTI]

    Jan De Leeuw

    2011-01-01

    Review of Statistical Software. International As- sociationStatistical Methods Need Software: A View of Statisti- calJournal of Statistical Software, 13, 2004. URL http://www.

  14. Increase Natural Gas Energy Efficiency - Q & A | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam:on Openei |source History ViewInQbator

  15. 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

  16. MediaWiki API

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

    euquery empty to list all external links Can be empty, or One value: http, https, ftp, irc, gopher, telnet, nntp, worldwind, mailto, news, svn, git, mms Default: euquery - Search...

  17. MediaWiki API

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: Energy Resources Jump to:Electric Coop, IncSouthVirginia:Medford, Maine:xml

  18. 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 ...

  19. EERE Statistics Archive

    Office of Energy Efficiency and Renewable Energy (EERE)

    This page provides EERE Web statistics for all office and corporate websites that opted to use EERE's analytics account. Webtrends statistics for Fiscal Year 2009 (FY09) to FY11 are available for...

  20. Web Analytics and Statistics

    Office of Energy Efficiency and Renewable Energy (EERE)

    EERE uses Google Analytics to capture statistics on its websites. These statistics help website managers measure and report on users, sessions, most visited pages, and more. The Web Template...

  1. MATHMATICS & APPLIED STATISTICS

    E-Print Network [OSTI]

    Frey, Jesse C.

    MATHMATICS & APPLIED STATISTICS Graduate Studies in Build Your Future with Graduate Study in Mathematics or Applied Statistics Our graduate programs can help you advance your career in education will deepen your knowledge and prepare you for further study. The Master of Science in Applied Statistics

  2. Statistics and Actuarial Science

    E-Print Network [OSTI]

    Chauve, Cedric

    SCIENCE SFU.CA/ SCIENCE Statistics and Actuarial Science #12;Further Information Student info, academic calendar, registration students.sfu.ca Science advising sfu.ca/science/undergrad/advising Statistics and Actuarial Science The Department of Statistics and Actuarial Science offers the degree

  3. Physics 630 Statistical Physics

    E-Print Network [OSTI]

    Kioussis, Nicholas

    strongly the issue of problem solving and understanding of the main concepts in Statistical PhysicsPhysics 630 Statistical Physics Spring 2005 Logistics Lecture Room: 1100 (Science I, 1st floor (Supplement) Introduction to Modern Statistical Mechanics, by David Chandler, Oxford Objectives This course

  4. Key China Energy Statistics 2011

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01

    Source: National Bureau of Statistics (NBS), China EnergyNations Commodity Trade Statistics Database. New York:National Bureau of Statistics of the People's Republic of

  5. Key China Energy Statistics 2012

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01

    Nations Commodity Trade Statistics Database. New York:National Bureau of Statistics of the People's Republic ofYearbook. Beijing: China Statistics Press. 2. Transformation

  6. Statistics and the Modern Student

    E-Print Network [OSTI]

    Robert Gould

    2011-01-01

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

  7. Statistics and the Modern Student

    E-Print Network [OSTI]

    Gould, Robert

    2010-01-01

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

  8. 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

  9. 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

  10. Statistics and Quantum Chaos

    E-Print Network [OSTI]

    F. Benatti; M. Fannes

    1998-11-26

    We use multi-time correlation functions of quantum systems to construct random variables with statistical properties that reflect the degree of complexity of the underlying quantum dynamics.

  11. Rotations and Statistics

    E-Print Network [OSTI]

    Kevin Cahill

    2006-12-24

    The way a field transforms under rotations determines its statistics--as is easy to see for scalar, Dirac, and vector fields.

  12. 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

  13. Weakly sufficient quantum statistics

    E-Print Network [OSTI]

    Katarzyna Lubnauer; Andrzej ?uczak; Hanna Pods?dkowska

    2009-11-23

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

  14. Statistics Statistique Canada Canada

    E-Print Network [OSTI]

    Canada Développement social Canada Culture,Tourism and the Centre for Education Statistics Doctoral, Tourism and the Centre for Education Statistics Division Main Building, Room 2001, Ottawa, K1A 0T6 to access the product This product, Catalogue no. 81-595-M, is available for free in electronic format

  15. Statistics of football dynamics

    E-Print Network [OSTI]

    Mendes, R S; Anteneodo, C

    2007-01-01

    We investigate the dynamics of football matches. Our goal is to characterize statistically the temporal sequence of ball movements in this collective sport game, searching for traits of complex behavior. Data were collected over a variety of matches in South American, European and World championships throughout 2005 and 2006. We show that the statistics of ball touches presents power-law tails and can be described by $q$-gamma distributions. To explain such behavior we propose a model that provides information on the characteristics of football dynamics. Furthermore, we discuss the statistics of duration of out-of-play intervals, not directly related to the previous scenario.

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

    E-Print Network [OSTI]

    Fienberg, Stephen E.

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

  17. Computational Statistics Canonical Forest

    E-Print Network [OSTI]

    Ahn, Hongshik

    : First Author: Yu-Chuan Chen First Author Secondary Information: Order of Authors: Yu-Chuan Chen Hyejung;Computational Statistics manuscript No. (will be inserted by the editor) Canonical Forest Yu-Chuan Chen

  18. Statistics in Excel

    E-Print Network [OSTI]

    Dave

    2012-03-25

    Statistics in Excel. 1. Type the measurement data into consecutive cells in Excel. NOTE: they do not need to be in one column, but the cells should be adjacent.

  19. Boosted Statistical Mechanics

    E-Print Network [OSTI]

    Massimo Testa

    2015-07-30

    Based on the fundamental principles of Relativistic Quantum Mechanics, we give a rigorous, but completely elementary, proof of the relation between fundamental observables of a statistical system when measured relatively to two inertial reference frames, connected by a Lorentz transformation.

  20. Springer Series in Statistics Springer Series in Statistics

    E-Print Network [OSTI]

    Cappé, Olivier

    and practitioners in areas such as statistics, signal processing, communications engineering, control theory class of statistical models with applications in diverse areas such as communications engineering models, including both algo- rithms and statistical theory. Topics range from filtering and smoothing

  1. ARNAB MAITY Department of Statistics

    E-Print Network [OSTI]

    Maity, Arnab

    Mallick 2003 B. Stat. (Honors), Statistics, Indian Statistical Institute, Calcutta, India First classMay, 2015 ARNAB MAITY Department of Statistics North Carolina State University Campus Box 8203 2008 Ph.D., Statistics, Department of Statistics, Texas A&M University Co-advisors: Dr. Raymond J

  2. 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

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

    E-Print Network [OSTI]

    Dahl, David B.

    : Statistics Stat 497R Introduction to Statistical Research Stat 538 Survival Analysis Note: Students may countBS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics & Oral Communication Quantitative Reasoning Languages of Learning (Math or Language) Arts, Letters

  4. Quantum Chaos and Statistical Mechanics

    E-Print Network [OSTI]

    Mark Srednicki

    1994-06-14

    We briefly review the well known connection between classical chaos and classical statistical mechanics, and the recently discovered connection between quantum chaos and quantum statistical mechanics.

  5. Statistics and Differential Geometry 18-466 Mathematical Statistics

    E-Print Network [OSTI]

    Le Ny, Jerome

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

  6. 55 Years of Harvard Statistics: Stories, Snapshots, and Statistics

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    55 Years of Harvard Statistics: Stories, Snapshots, and Statistics Xiao-Li Meng Late evening instead to the Bell Telephone Laboratories.'' Having one's statistical research rooted in and moti- vated by real-life applications became a hallmark of Harvard Statistics' outlook (or ``departmentality'') from

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

    E-Print Network [OSTI]

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

  8. MATHEMATICS AND STATISTICS

    E-Print Network [OSTI]

    Banaji,. Murad

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

  9. Thermodynamics for Fractal Statistics

    E-Print Network [OSTI]

    Wellington da Cruz

    1998-12-15

    We consider for an anyon gas its termodynamics properties taking into account the fractal statistics obtained by us recently. This approach describes the anyonic excitations in terms of equivalence classes labeled by fractal parameter or Hausdorff dimension $h$. An exact equation of state is obtained in the high-temperature and low-temperature limits, for gases with a constant density of states.

  10. Statistical Methods for QTL

    E-Print Network [OSTI]

    Chen, Zehua

    , researchers, and professionals in the mathematical, statistical and computational sciences, fundamental of textbooks, reference works, and handbooks. The titles included in the series are meant to appeal to students Editors N. F. Britton Department of Mathematical Sciences University of Bath Xihong Lin Department

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

    E-Print Network [OSTI]

    Dahl, David B.

    BS in STATISTICS: Applied Statistics and Analytics Emphasis (695234) MAP Sheet Department of Statistics For students entering the degree program during the 2014­2015 curricular year. UNIVERSITY CORE* Calculus 1 Math 113 Calculus 2 Complete one course from the following: Stat 121 Principles of Statistics

  12. 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

  13. AMERICAN STATISTICAL ASSOCIATION (ASA)

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall toUranium Marketing Annual ReportAMERICAN STATISTICAL

  14. Statistical simulation procedures 

    E-Print Network [OSTI]

    Tremelling, Robert Norman

    1970-01-01

    that theoretical procedures are im- practical. Thus, with the advent of the electronic computer, numeri ca'I or simul ation procedures for ap- proximating this distribution function have been de- veloped. For the extension of the Stratified Monte Carlo (S. M... distribution functions ano their parameters. With the rising importance of statistics, and the advent of the computer, Honte Carlo methods are just now being investigated. Although definitions of Honte Carlo samplino may differ, it is usually associated...

  15. FY 2013 Statistical Table

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuelsof Energy Services » Program ManagementAct FAQsAnnualAnnualHawaiiStatistical

  16. Pseudochaos in Statistical Physics

    E-Print Network [OSTI]

    Boris Chirikov

    1997-04-30

    A new generic dynamical phenomenon of pseudochaos and its relevance to the statistical physics both modern as well as traditional one are considered and explained in some detail. The pseudochaos is defined as a statistical behavior of the dynamical system with discrete energy and/or frequency spectrum. In turn, the statistical behavior is understood as time-reversible but nonrecurrent relaxation to some steady state, at average, superimposed with irregular fluctuations. The main attention is payed to the most important and universal example of pseudochaos, the so-called quantum chaos that is dynamical chaos in bounded mesoscopic quantum systems. The quantum chaos as a mechanism for implementation of the fundamental correspondence principle is also discussed. The quantum relaxation localization, a peculiar characteristic implication of pseudochaos, is reviewed in both time-dependent and conservative systems with special emphasis on the dynamical decoherence of quantum chaotic states. Recent results on the peculiar global structure of the energy shell, the Green function spectra and the eigenfunctions, both localized and ergodic, in a generic conservative quantum system are presented. Examples of pseudochaos in classical systems are given including linear oscillator and waves, digital computer and completely integrable systems. A far-reaching similarity between the dynamics of a few-freedom quantum system at high energy levels (n >> 1) and that of many--freedom one (N >> 1) is also discussed.

  17. IEA Energy Statistics | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam:on Openei | Open Energy2010) | OpenHywindIBEW6679

  18. 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

  19. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Statistics Colloquium ANDREA MONTANARI Departments of Electrical Engineering and Statistics Stanford University Sharp Thresholds in Statistical an important role in some sta- tistical learning and statistical signal processing problems, in part because

  20. International petroleum statistics report

    SciTech Connect (OSTI)

    1995-10-01

    The International Petroleum Statistics Report is a monthly publication that provides current international oil data. This report presents data on international oil production, demand, imports, exports and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). Section 2 presents an oil supply/demand balance for the world, in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries.

  1. ARM - Historical Operational Statistics

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Comments? WeDatastreamstps DocumentationAtlanticENAField ParticipantsField Campaign Statistics 2015

  2. ARM - Historical Visitor Statistics

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Comments? WeDatastreamstps DocumentationAtlanticENAField ParticipantsField Campaign Statistics 2015Visitor

  3. Presented by Statistics at Scale

    E-Print Network [OSTI]

    .S. Department of Energy Contact George Ostrouchov Statistics and Data Sciences Computer Science and MathematicsPresented by Statistics at Scale George Ostrouchov Statistics and Data Sciences Computer Science and Mathematics Division #12;2 Managed by UT-Battelle for the U.S. Department of Energy Ostrouchov_SDS_SC10 Common

  4. PROGRAMME SPECIFICATION Programme title: Statistics

    E-Print Network [OSTI]

    Guillas, Serge

    in statistical theory and applications which enables graduates to enter specialist employment or academic in statistical computing and communication are assessed by coursework only. The summer project is assessedPROGRAMME SPECIFICATION Programme title: Statistics Final award (BSc, MA etc): (where stopping off

  5. International petroleum statistics report

    SciTech Connect (OSTI)

    1997-05-01

    The International Petroleum Statistics Report is a monthly publication that provides current international oil data. This report is published for the use of Members of Congress, Federal agencies, State agencies, industry, and the general public. Publication of this report is in keeping with responsibilities given the Energy Information Administration in Public Law 95-91. The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1985 through 1995.

  6. 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

  7. Fractons and Fractal Statistics

    E-Print Network [OSTI]

    Wellington da Cruz

    2000-07-31

    Fractons are anyons classified into equivalence classes and they obey a specific fractal statistics. The equivalence classes are labeled by a fractal parameter or Hausdorff dimension $h$. We consider this approach in the context of the Fractional Quantum Hall Effect (FQHE) and the concept of duality between such classes, defined by $\\tilde{h}=3-h$ shows us that the filling factors for which the FQHE were observed just appear into these classes. A connection between equivalence classes $h$ and the modular group for the quantum phase transitions of the FQHE is also obtained. A $\\beta-$function is defined for a complex conductivity which embodies the classes $h$. The thermodynamics is also considered for a gas of fractons $(h,\

  8. Statistics Online Computational Resource for Education

    E-Print Network [OSTI]

    Dinov, Ivo D; Christou, Nicolas

    2009-01-01

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

  9. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Mohsen Pourahmadi Division of Statistics, Northern Illinois University and the Department of Statistics, The University of Chicago "Generalized

  10. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Statistics Colloquium Series JONATHAN WEARE sampling methods. The talk will have a computational statistical mechanics flavor but the methods

  11. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series JON MCAULIFFE Department of Statistics University of California, Berkeley "Statistical Methods for Genome Comparison" WEDNESDAY February

  12. International petroleum statistics report

    SciTech Connect (OSTI)

    1997-07-01

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

  13. International petroleum statistics report

    SciTech Connect (OSTI)

    1995-07-27

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

  14. International petroleum statistics report

    SciTech Connect (OSTI)

    1995-11-01

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

  15. International petroleum statistics report

    SciTech Connect (OSTI)

    1996-10-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. Word oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1985 through 1995.

  16. International petroleum statistics report

    SciTech Connect (OSTI)

    1996-05-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1084 through 1994.

  17. Statistics as a dynamical attractor

    E-Print Network [OSTI]

    Michail Zak

    2012-08-30

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

  18. Statistical mechanics of the cytoskeleton

    E-Print Network [OSTI]

    Wang, Shenshen

    2012-01-01

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

  19. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Statistics Colloquium ALEKH AGARWAL Electrical Engineering and Computer Science University of California Berkeley Computation Meet Statistics: Trade that provide complementary lines of attack on this broader research agenda: (i) lower bounds for statistical

  20. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series TONG ZHANG Department of Statistics Rutgers University High Dimensional Statistical Analysis for Complex Sparse Estimation Problems the seminar in Eckhart 110. ABSTRACT This talk presents theoretical results for high dimensional statistical

  1. 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

  2. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics SUMMER Seminar Series ANDREW GELMAN Departments of Statistics and Political Science Columbia University Parameterization and Bayesian Modeling THURSDAY and location. ABSTRACT Progress in statistical computation often leads to advances in statistical modeling

  3. Department: Statistics Course No: STAT 261Q

    E-Print Network [OSTI]

    Alpay, S. Pamir

    Department: Statistics Course No: STAT 261Q Title: Statistical Computing Credits: 3 Contact : Dipak. Recommended preparation: An applied statistics course. Open only with consent of instructor. Introduction to computing for statistical problems; obtaining features of distributions, fitting models and implementing

  4. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Statistics Colloquium Series MONTSERRAT FUENTES Department of Statistics North Carolina State University Nonparametric Spatial Models for Extremes events at different locations. Although the tools for statistical modeling of univariate extremes

  5. APS Operational Statistics for FY 2015

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

    5 Operational Statistics Back to Main Statistics Page FY 2015 Year-to-Date Statistics 2015 Statistics Summary HTML or PDF FY 2015 Reliability Summary HTML or PDF FY 2015 Bar Chart...

  6. 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

  7. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Hira L. Koul Department of Statistics). Statistical methods for data with long-range dependence. (With discussion). Statist. Sci. 7, 404-427. Beran, J. (1994). Statistics for Long-Memory Processes. Monographs on Statistics and Applied Probab., 61. Chapman

  8. MATHEMATICS & STATISTICS Program of Study

    E-Print Network [OSTI]

    Thomas, Andrew

    MATHEMATICS & STATISTICS Program of Study Degree Requirements The Department offers a program leading to the degree of Master of Arts in Mathematics. The program outlined below offers the student three "pathways" or tracks for advanced study in mathematics: pure, interdisciplinary, and statistics

  9. Statistical Theory Prof. Gesine Reinert

    E-Print Network [OSTI]

    Reinert, Gesine

    - chical Bayes, empirical Bayes, James-Stein estimators, Bayesian computation. · Part 4: Principles) Statistical Inference. Second Edi- tion. Thomson Learning. 3. Cox, D.R. and Hinkley, D.V. (1974) Theoretical. Cambridge University Press. 2 #12;6. Lindgren, B.W. (1993) Statistical Theory. 4th edition. Chapman and Hall

  10. 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

  11. Practical Statistics for the LHC

    E-Print Network [OSTI]

    Kyle Cranmer

    2015-03-26

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

  12. SHARE: Statistical Hadronization with Resonances

    E-Print Network [OSTI]

    Giorgio Torrieri; Steve Steinke; Wojciech Broniowski; Wojciech Florkowski; Jean Letessier; Johann Rafelski

    2004-07-22

    SHARE is a collection of programs designed for the statistical analysis of particle production in relativistic heavy-ion collisions. With the physical input of intensive statistical parameters, it generates the ratios of particle abundances. The program includes cascade decays of all confirmed resonances from the Particle Data Tables. The complete treatment of these resonances has been known to be a crucial factor behind the success of the statistical approach. An optional feature implemented is a Breit--Wigner type distribution for strong resonances. An interface for fitting the parameters of the model to the experimental data is provided.

  13. Key China Energy Statistics 2012

    SciTech Connect (OSTI)

    Levine, Mark; Fridley, David; Lu, Hongyou; Fino-Chen, Cecilia

    2012-05-01

    The China Energy Group at Lawrence Berkeley National Laboratory (LBNL) was established in 1988. Over the years the Group has gained recognition as an authoritative source of China energy statistics through the publication of its China Energy Databook (CED). The Group has published seven editions to date of the CED (http://china.lbl.gov/research/chinaenergy-databook). This handbook summarizes key statistics from the CED and is expressly modeled on the International Energy Agency’s “Key World Energy Statistics” series of publications. The handbook contains timely, clearly-presented data on the supply, transformation, and consumption of all major energy sources.

  14. Key China Energy Statistics 2011

    SciTech Connect (OSTI)

    Levine, Mark; Fridley, David; Lu, Hongyou; Fino-Chen, Cecilia

    2012-01-15

    The China Energy Group at Lawrence Berkeley National Laboratory (LBNL) was established in 1988. Over the years the Group has gained recognition as an authoritative source of China energy statistics through the publication of its China Energy Databook (CED). In 2008 the Group published the Seventh Edition of the CED (http://china.lbl.gov/research/chinaenergy-databook). This handbook summarizes key statistics from the CED and is expressly modeled on the International Energy Agency’s “Key World Energy Statistics” series of publications. The handbook contains timely, clearly-presented data on the supply, transformation, and consumption of all major energy sources.

  15. Quantum particles from classical statistics

    E-Print Network [OSTI]

    C. Wetterich

    2010-02-11

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

  16. STATISTICAL MECHANICS AND FIELD THEORY

    E-Print Network [OSTI]

    Samuel, S.A.

    2010-01-01

    1. L. 1. Schiff, Quantum Mechanics, third edition (McGraw-two-dimensional quantum mechanics problem vith a potential,Theory Methods to Statistical Mechanics Chapter I The Use of

  17. Using excel to do statistics

    E-Print Network [OSTI]

    Dave

    2012-03-25

    Statistics in Excel. 1. Type the measurement data into consecutive cells in Excel. NOTE: they do not need to be in one column, but the cells should be adjacent.

  18. Intermediate wave-function statistics

    E-Print Network [OSTI]

    G. Berkolaiko; J. P. Keating; B. Winn

    2003-08-05

    We calculate statistical properties of the eigenfunctions of two quantum systems that exhibit intermediate spectral statistics: star graphs and Seba billiards. First, we show that these eigenfunctions are not quantum ergodic, and calculate the corresponding limit distribution. Second, we find that they can be strongly scarred by short periodic orbits, and construct sequences of states which have such a limit. Our results are illustrated by numerical computations.

  19. Anyonic statistics with continuous variables

    E-Print Network [OSTI]

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

    2008-10-30

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

  20. 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

  1. UNIVERSITY OF OXFORD DEPARTMENT OF STATISTICS

    E-Print Network [OSTI]

    Oxford, University of

    UNIVERSITY OF OXFORD DEPARTMENT OF STATISTICS MSc AND DIPLOMA IN APPLIED STATISTICS 2014. Sources of advice and help 33 5. Departmental Facilities 35 #12;2 MSc/ DIPLOMA IN APPLIED STATISTICS 2014/2015 We welcome you to the Department of Statistics and our MSc programme in Applied Statistics

  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]

    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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. Accuracy and reliability of China's energy statistics

    E-Print Network [OSTI]

    Sinton, Jonathan E.

    2001-01-01

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

  12. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Matthew Stephens Department of Statistics, University of Washington "Exploring Heterogeneity in Recombination Rates Across the Genome. In this talk I describe a statistical method that comes some way towards addressing these deficiencies

  13. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series JUN LIU Department of Statistics with classification problems. I will also discuss the issue of statistical significance in this situation Please send

  14. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Tiefeng JIANG School of Statistics). A history from 1914 to 2003 of the problem from Mechanics, Statistics and Imagine Analysis will also

  15. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series JIANQING FAN Department of Statistics Princeton University "Nonparametric specification tests for diffusion models in financial null distributions of proposed test statistics and compute their power func- tions. The finite sample

  16. APS Operational Statistics for FY 2009

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

    Back to Main Statistics Page FY 2009 Year-to-Date Statistics 2009 Statistics Summary HTML or PDF FY 2009 Reliability Summary HTML or PDF FY 2009 Bar Chart of Downtime by System...

  17. APS Operational Statistics for FY 2008

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

    Back to Main Statistics Page FY 2008 Year-to-Date Statistics 2008 Statistics Summary HTML or PDF FY 2008 Reliability Summary HTML or PDF FY 2008 Bar Chart of Downtime by System...

  18. APS Operational Statistics for FY 2014

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

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

  19. APS Operational Statistics for FY 2005

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

    Back to Main Statistics Page FY 2005 Year-to-Date Statistics 2005 Statistics Summary HTML or PDF FY 2005 Reliability Summary HTML or PDF FY 2005 Bar Chart of Downtime by System...

  20. APS Operational Statistics for FY 2007

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

    Back to Main Statistics Page FY 2007 Year-to-Date Statistics 2007 Statistics Summary HTML or PDF FY 2007 Reliability Summary HTML or PDF FY 2007 Bar Chart of Downtime by System...

  1. APS Operational Statistics for FY 2012

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

    Back to Main Statistics Page FY 2012 Year-to-Date Statistics 2012 Statistics Summary HTML or PDF FY 2012 Reliability Summary HTML or PDF FY 2012 Bar Chart of Downtime by System...

  2. APS Operational Statistics for FY 2006

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

    Back to Main Statistics Page FY 2006 Year-to-Date Statistics 2006 Statistics Summary HTML or PDF FY 2006 Reliability Summary HTML or PDF FY 2006 Bar Chart of Downtime by System...

  3. APS Operational Statistics for FY 2010

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

    Back to Main Statistics Page FY 2010 Year-to-Date Statistics 2010 Statistics Summary HTML or PDF FY 2010 Reliability Summary HTML or PDF FY 2010 Bar Chart of Downtime by System...

  4. APS Operational Statistics for FY 2013

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

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

  5. 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

  6. OpenEI | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'SHeavyAgency (IRENA)Options JumpOpenEI Community Central Home

  7. OpenEI Community - 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg, Oregon:OGE EnergyOklahoma: EnergyOpenOpenEIper

  8. 5.72 Statistical Mechanics, Spring 2008

    E-Print Network [OSTI]

    Cao, Jianshu

    This course discusses the principles and methods of statistical mechanics. Topics covered include classical and quantum statistics, grand ensembles, fluctuations, molecular distribution functions, other concepts in equilibrium ...

  9. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

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

  10. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series ANDREW C. THOMAS Department of Statistics Harvard University Uncertainties in Network Analysis Due to the Thresholding Problem WEDNESDAY

  11. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series ARNAUD DOUCET Departments of Computer Science and Statistics University of British Columbia The Expected Auxiliary Variable Method

  12. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series DAG TJOSTHEIM Department of Statistics University of Bergen, Norway Gaussian Local Likelihood and Local Correlation MONDAY, April 28

  13. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series YUN S. SONG Departments of Electrical Engineering and Computer Sciences, and Statistics University of California, Berkeley A Universal

  14. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Anirban Dasgupta Department of Statistics Purdue University "Inference Based on Total Variation Distance" Monday, November 10, 2003 at 4

  15. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series HELENE MASSAM Department of Mathematics and Statistics York University, Toronto, Canada "Two New Families of Conjugate Priors

  16. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series YUGUO CHEN Department of Statistics University of Illinois at Urbana-Champaign "Sampling for Conditional Inference on Multiway Tables

  17. ORISE: Statistical Analyses of Worker Health

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

    appropriate methods of statistical analysis to a variety of problems in occupational health and other areas. Our expertise spans a range of capabilities essential for statistical...

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

    E-Print Network [OSTI]

    Gelman, Andrew

    1999-01-01

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

  19. 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

  20. Statistical Mechanics of Black Holes

    E-Print Network [OSTI]

    B. Harms; Y. Leblanc

    1992-05-11

    We analyze the statistical mechanics of a gas of neutral and charged black holes. The microcanonical ensemble is the only possible approach to this system, and the equilibrium configuration is the one for which most of the energy is carried by a single black hole. Schwarzschild black holes are found to obey the statistical bootstrap condition. In all cases, the microcanonical temperature is identical to the Hawking temperature of the most massive black hole in the gas. U(1) charges in general break the bootstrap property. The problems of black hole decay and of quantum coherence are also addressed.

  1. Noise, sign problems, and statistics

    E-Print Network [OSTI]

    Michael G. Endres; David B. Kaplan; Jong-Wan Lee; Amy N. Nicholson

    2011-06-01

    We show how sign problems in simulations of many-body systems can manifest themselves in the form of heavy-tailed correlator distributions, similar to what is seen in electron propagation through disordered media. We propose an alternative statistical approach for extracting ground state energies in such systems, illustrating the method with a toy model and with lattice data for unitary fermions.

  2. Statistical mechanics of the vacuum

    E-Print Network [OSTI]

    Christian Beck

    2012-03-01

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

  3. QUANTUM MECHANICS WITHOUT STATISTICAL POSTULATES

    SciTech Connect (OSTI)

    G. GEIGER; ET AL

    2000-11-01

    The Bohmian formulation of quantum mechanics describes the measurement process in an intuitive way without a reduction postulate. Due to the chaotic motion of the hidden classical particle all statistical features of quantum mechanics during a sequence of repeated measurements can be derived in the framework of a deterministic single system theory.

  4. Gauge Invariance and Fractional Statistics

    E-Print Network [OSTI]

    A. R. P. Lima; R. R. Landim

    2006-10-04

    We present a new $(2+1)$-dimensional field theory showing exotic statistics and fractional spin. This theory is achieved through a redefinition of the gauge field $A_{\\mu}$. New properties are found. Another way to implement the field redefinition is used with the same results obtained.

  5. Statistics and Philosophy Mathematical models and reality

    E-Print Network [OSTI]

    Hennig, Christian

    Statistics and Philosophy Mathematical models and reality Frequentist probabilities The Bayes-frequentist controversy Cluster analysis and truth Model Assumptions and Truth in Statistics Christian Hennig 4 February 2015 Christian Hennig Model Assumptions and Truth in Statistics #12;Statistics and Philosophy

  6. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Marianthi Markatou Department of Statistics, Columbia University "Statistical Model Assessment and Model Choice" Monday, April 22, 2002 at 4 of statistical models is to provide a concise description of the aspects of the data judged relevant

  7. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series VICTOR PANARETOS Department of Statistics University of California, Berkeley On the Statistical Inversion of a Stochastic Radon Transform, thus posing a va- riety of statistical problems. We formulate and study such a problem, one

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    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

  9. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Tailen Hsing Department of Statistics" ************************* Monday, February 4, 2002 at 4:00 pm 133 Eckhart Hall, 5734 S. University Avenue ABSTRACT A generalized U-statistic, n2, Kn1,n2 is a symmetric measurable func- tion. A large class of statistics can be expressed

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    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

  11. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Statistics Colloquium JACOB BIEN Department of Statistics Stanford University Sparse Hierarchical Interactions MONDAY, January 23, 2012, at 4:00 PM 133. This makes it easier to study as a statistical estimator. We argue that restricting to hierarchical

  12. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Statistics Colloquium LISA LENDWAY Department of Statistics University of Minnesota Using the Bootstrap to Teach Confidence Intervals in an Introductory Statistics Course THURSDAY, February 2, 2012, at 12:00 PM 110 Eckhart Hall, 5734 S. University Avenue

  13. ROBUST ESTIMATION VIA GENERALIZED L-STATISTICS

    E-Print Network [OSTI]

    Serfling, Robert

    CHAPTER 1 ROBUST ESTIMATION VIA GENERALIZED L-STATISTICS: THEORY, APPLICATIONS, AND PERSPECTIVES ROBERT SERFLING University of Texas at Dallas Abstract: Generalized L-statistics, introduced in Ser ing (1984) and including classical U-statistics and L-statistics, are linear functions based on the ordered

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    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Statistics Colloquium XIAOFENG SHAO Department of Statistics University of Illinois, Urbana-Champaign Self-Normalization for Time Series MONDAY, May 21, 2012 of a statistic. Or the inference can be conducted by using resampling (e.g. moving block boot- strap

  15. 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

  16. 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

  17. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Statistics Colloquium NATESH PILLAI Department of Statistics Harvard University Optimal Scaling vs. Optimal Design of MCMC Algorithms: A Comparison MONDAY their behavior in high dimensions thus constitute an essential part of modern statistical inference

  18. Department: Statistics Course No: STAT 220Q

    E-Print Network [OSTI]

    Alpay, S. Pamir

    Department: Statistics Course No: STAT 220Q Title: Statistical Methods Credits: 3 Contact : Dipak K. Dey WQ: Q Catalog Copy : STAT 220Q. Statistical Methods (Calculus Level) Either semester. Three design, non-parametric procedures. Course Information : A. This course offers instruction in statistical

  19. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series BIN YU Department of Statistics University of California, Berkeley "Embracing Statistical Challenges in the Information Technology Age in most if not all fields of science and engineering and beyond. Statistics as a scientific discipline

  20. Department: Statistics Course No: STAT 110Q

    E-Print Network [OSTI]

    Alpay, S. Pamir

    Department: Statistics Course No: STAT 110Q Title: Elementary Concepts of Statistics Credits: 4 restrictions above. Standard and nonparametric approaches to statistical analysis; exploratory data analysis-sample procedures, regression and correlation. Learning to do statistical analysis on a personal computer

  1. 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

  2. STATISTICS FOR GRADUATE STUDENTS ONLINE RESOURCES

    E-Print Network [OSTI]

    Fletcher, Robin

    1 STATISTICS FOR GRADUATE STUDENTS ONLINE RESOURCES Introduction to Data Analysis Exploring Data Pitfalls of Data Analysis (or How to Avoid Lies and Damned Lies) Statistics notes and related articles published in British Medical Journal Statistical literacy HyperStat Online Statistics Textbook Electronic

  3. Department: Statistics Course No: STAT 201Q

    E-Print Network [OSTI]

    Alpay, S. Pamir

    Department: Statistics Course No: STAT 201Q Title: Introduction to Statistics II Credits: 3 Contact : Dipak K. Dey WQ: Q Catalog Copy : 201Q. Introduction to Statistics II Either semester. Three credits of no calculus background the ideas and methods of statistics beyond the initial introduction given in STAT100

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    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

  5. 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

  6. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series DEBASHIS MONDAL Department of Statistics University of Chicago Gaussian Random Fields and Spatial Statistics MONDAY, April 12, 2010, at 4. ABSTRACT In recent decades, there has been much progress and interest in spatial statistics

  7. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series ROBERT GROSSMAN Department of Mathematics, Statistics and Computer Science University of Illinois at Chicago Building Statistical Models where the data is stored. Most software to compute statistical and data mining models assumes

  8. Department: Statistics Course No: STAT 243Q

    E-Print Network [OSTI]

    Alpay, S. Pamir

    Department: Statistics Course No: STAT 243Q Title: Design of Experiments Credits: 3 Contact : Dipak statistical software to analize data sets based on the statistical methods developed in this course. B. Two and problem assignments from the textbook. C. Analysis of variance statistical models are the major theme

  9. 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

  10. Department: Statistics Course No: STAT 100Q

    E-Print Network [OSTI]

    Alpay, S. Pamir

    Department: Statistics Course No: STAT 100Q Title: Introduction to Statistics Credits: 4 Contact above. A standard approach to statistical analysis primarily for students of business and economics and correlation, exploratory data analysis. Learning to do statistical analysis on a personal computer

  11. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics SUMMER Seminar Series SONJA PETROVIC Department of Statistics Pennsylvania State University Algebraic Statistics for Random Graph Models MONDAY, August 8, 2011, at 4:00 PM 110 Eckhart Hall, 5734 S. University Avenue ABSTRACT Algebraic statistics has flourished

  12. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Statistics Colloquium SEBASTIEN ROCH Department. An important issue in this context is the fundamental trade-off between statistical accuracy and computational how this probabilistic perspective produces a finer theoretical understanding of the statistical

  13. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series YALI AMIT Departments of Statistics and Computer Science The University of Chicago Statistical Models in Computer Vision MONDAY of configurations. I will present an approach which starts from simple statistical models for individual objects

  14. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Statistics Colloquium Series PATRICK J. WOLFE Department of Statistics Harvard University Modeling Network Data MONDAY, October 10, 2011, at 4:00 PM 133 Networks are fast becoming a primary object of interest in statistical data analysis, with important

  15. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Samuel Kou Department of Statistics statistical modeling and inference effort. This paper provides the first likelihood-based analysis statistical techniques to the analysis of data produced by modern technologies. This work is joint with Sunney

  16. Statistical Signal Processing Debasis Kundu 1

    E-Print Network [OSTI]

    Kundu, Debasis

    Statistical Signal Processing Debasis Kundu 1 Signal processing may broadly be considered, statistical techniques play an important role in signal processing. Statistics is used in the formulation for estimation of model parameters, and the assessment of model performances. Statistical Signal Processing

  17. 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

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

    E-Print Network [OSTI]

    Frey, Jesse C.

    Graduate Certificate in Applied Statistics Earn a graduate certificate in Applied Statistics from their statistical knowledge and demonstrate their expertise in statistics beyond the undergraduate level. Program in programs that utilize statistics. Admission Requirements Applicants must submit an application, a statement

  19. STATISTICAL MECHANICS PRACTICE EXAM 2005

    E-Print Network [OSTI]

    Dorlas, Teunis C.

    STATISTICAL MECHANICS PRACTICE EXAM 2005 Time allotted: 3 hours for 5 questions. 1. (i) Give density of a system of independent spins si = ±1 with energy levels given by E(s1, . . . , sN ) = -H N i=1 si. 2. (i) Derive the expression f() = - 1 ln eJ cosh H + e2J sinh2 H + e-2J for the free energy

  20. Statistically significant relational data mining :

    SciTech Connect (OSTI)

    Berry, Jonathan W.; Leung, Vitus Joseph; Phillips, Cynthia Ann; Pinar, Ali; Robinson, David Gerald; Berger-Wolf, Tanya; Bhowmick, Sanjukta; Casleton, Emily; Kaiser, Mark; Nordman, Daniel J.; Wilson, Alyson G.

    2014-02-01

    This report summarizes the work performed under the project (3z(BStatitically significant relational data mining.(3y (BThe goal of the project was to add more statistical rigor to the fairly ad hoc area of data mining on graphs. Our goal was to develop better algorithms and better ways to evaluate algorithm quality. We concetrated on algorithms for community detection, approximate pattern matching, and graph similarity measures. Approximate pattern matching involves finding an instance of a relatively small pattern, expressed with tolerance, in a large graph of data observed with uncertainty. This report gathers the abstracts and references for the eight refereed publications that have appeared as part of this work. We then archive three pieces of research that have not yet been published. The first is theoretical and experimental evidence that a popular statistical measure for comparison of community assignments favors over-resolved communities over approximations to a ground truth. The second are statistically motivated methods for measuring the quality of an approximate match of a small pattern in a large graph. The third is a new probabilistic random graph model. Statisticians favor these models for graph analysis. The new local structure graph model overcomes some of the issues with popular models such as exponential random graph models and latent variable models.

  1. Parallel auto-correlative statistics with VTK.

    SciTech Connect (OSTI)

    Pebay, Philippe Pierre; Bennett, Janine Camille

    2013-08-01

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

  2. Statistical Models for Globular Cluster Luminosity Distribution

    E-Print Network [OSTI]

    Hunter, David

    Statistical Models for Globular Cluster Luminosity Distribution Max Buot Donald Richards Xavier statistical models which have been proposed for luminosity distributions for the globular clusters galaxies were well fit by Gaussian distributions, subsequent investigations suggested

  3. Statistics on pattern-avoiding permutations

    E-Print Network [OSTI]

    Elizalde, Sergi, 1979-

    2004-01-01

    This thesis concerns the enumeration of pattern-avoiding permutations with respect to certain statistics. Our first result is that the joint distribution of the pair of statistics 'number of fixed points' and 'number of ...

  4. Statistics Department University of California, Berkeley

    E-Print Network [OSTI]

    California at Santa Cruz, University of

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

  5. |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

  6. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar D. R. Bellhouse Department of Statistical and Actuarial Sciences University of Western Ontario London, Ontario Canada N6A 5B7 "Lord Stanhope

  7. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Noureddine El Karoui Department of Statistics Stanford University "The Tracy-Widom Law Holds When n, p, p/n , with Application to PCA" Monday

  8. A Carto Dashboard for Distributed Statistical Data

    E-Print Network [OSTI]

    for Statistical Data From Statistics Netherlands (CBS) - Open Data, API using ODATA standard - To be combined, different aggregation in time: same variable, different times in theme: same place and time, different

  9. Seismic Attribute Analysis Using Higher Order Statistics 

    E-Print Network [OSTI]

    Greenidge, Janelle Candice

    2009-05-15

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

  10. Transportation Statistics Annual Report 1997

    SciTech Connect (OSTI)

    Fenn, M.

    1997-01-01

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

  11. On statistics of molecular chaos

    E-Print Network [OSTI]

    Yuriy Kuzovlev

    2009-11-03

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

  12. 2008 world direct reduction statistics

    SciTech Connect (OSTI)

    NONE

    2009-07-01

    This supplement discusses total direct reduced iron (DRI) production for 2007 and 2008 by process. Total 2008 production by MIDREX(reg sign) direct reduction process plants was over 39.8 million tons. The total of all coal-based processes was 17.6 million tons. Statistics for world DRI production are also given by region for 2007 and 2008 and by year (1970-2009). Capacity utilization for 2008 by process is given. World DRI production by region and by process is given for 1998-2008 and world DRI shipments are given from the 1970s to 2008. A list of world direct reduction plants is included.

  13. ARM - Historical Field Campaign Statistics

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Comments? WeDatastreamstps DocumentationAtlanticENAField ParticipantsField Campaign Statistics 2015 Quarterly

  14. Purdue VIGRE REU in Mathematics and Statistics

    E-Print Network [OSTI]

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

  15. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    of Statistics Harvard University "Equi-energy Sampler: From Statistical Inference to Statistical Mechanics the seminar in Eckhart 110. ABSTRACT We introduce a new sampling algorithm, the equi-energy sampler, the equi-energy sampler, utilizing the temperature-energy duality, targets the energy directly. The focus

  16. STORM: A STatistical Object Representation Model

    SciTech Connect (OSTI)

    Rafanelli, M. ); Shoshani, A. )

    1989-11-01

    In this paper we explore the structure and semantic properties of the entities stored in statistical databases. We call such entities statistical objects'' (SOs) and propose a new statistical object representation model,'' based on a graph representation. We identify a number of SO representational problems in current models and propose a methodology for their solution. 11 refs.

  17. Quantrum chaos and statistical nuclear physics

    SciTech Connect (OSTI)

    Not Available

    1986-01-01

    This book contains 33 selections. Some of the titles are: Chaotic motion and statistical nuclear theory; Test of spectrum and strength fluctuations with proton resonances; Nuclear level densities and level spacing distributions; Spectral statistics of scale invariant systems; and Antiunitary symmetries and energy level statistics.

  18. TIGHT BOUNDS ON EXPECTED ORDER STATISTICS

    E-Print Network [OSTI]

    Bertsimas, Dimitris

    TIGHT BOUNDS ON EXPECTED ORDER STATISTICS DIIIMMMIIITTTRRRIIISSS BEEERRRTTTSSSIIIMMMAAASSS Sloan@nus.edu.sg In this article, we study the problem of finding tight bounds on the expected value of the kth-order statistic E of the highest-order statistic E @Xn:n# can be computed with a bisection search algo- rithm+ An extremal discrete

  19. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series SOURAV CHATTERJEE Department of Statistics University of California, Berkeley "Some extensions of Stein's method" MONDAY, February 20, 2006 dependence models of statistical physics and combinatorics will be worked out. Please send email to Mathias

  20. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series DAVID VAN DYK Department of Statistics University of California, Irvine "Highly Structured Models in High Energy Astrophysics" MONDAY in Eckhart 110. ABSTRACT In recent years, an important new trend has been growing in applied statistics

  1. Department: Statistics Course No: STAT 242Q

    E-Print Network [OSTI]

    Alpay, S. Pamir

    Department: Statistics Course No: STAT 242Q Title: Analysis of Experiments Credits: 3 Contact Information : A. The objective of this course is to introduce students to statistical data analysis using will obtain hands-on experience with analyzing data usign statistical models, such as regression and analysis

  2. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series REGINA LIU Department of Statistics Rutgers, The State University of New Jersey Mining and Tracking Massive Text Data MONDAY, April 9 datasets to discover useful features and develop tracking statistics (often referred to as performance

  3. June 1, 2015 DEPARTMENT OF MATHEMATICS, STATISTICS

    E-Print Network [OSTI]

    June 1, 2015 DEPARTMENT OF MATHEMATICS, STATISTICS AND COMPUTER SCIENCE Limited Term Position The Department of Mathematics, Statistics and Computer Science at St. Francis Xavier University invites, 2016. Applicants should hold a PhD (or a nearly completed PhD) in Mathematics or Statistics

  4. 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

  5. Department: Statistics Course number: STAT 202W

    E-Print Network [OSTI]

    Alpay, S. Pamir

    Department: Statistics Course number: STAT 202W Title: Undergraduate Seminar II Credits: 1 Contact, and choose one statistical topic to investigate in detail. The student will write a well revised will attend 6-8 seminars per semester, and choose one statistical topic to investigate in detail. The student

  6. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series NANCY R. ZHANG Department of Statistics Stanford University Simultaneous Scans of Multiple Sequences for Shared Variant Intervals MONDAY in Eckhart 110. ABSTRACT We examine the statistical problem of simultaneous detection in multiple sequences

  7. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seventh Annual Bahadur Memorial Lectures ELIZABETH A. THOMPSON Department of Statistics University of Washington "Monte Carlo Likelihood Inference, the statistics of primary importance for estimation and testing are functions of unobservable latent vari- ables

  8. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series MARC HALLIN Universit´e libre de the seminar in Eckhart 110. ABSTRACT The modern history of ranks in statistics started in 1945 with Frank, Lehmann, Hajek, and Le Cam, rank-based methods have followed the devel- opment of contemporary statistics

  9. Department: Statistics Course No: STAT 272Q

    E-Print Network [OSTI]

    Alpay, S. Pamir

    Department: Statistics Course No: STAT 272Q Title: Introduction to Biostatistics Credits: 3 Contact-analysis. Course Information : A. The goal is to introduce the students to the modern statistical methods in modeling analysis of data in biological and medical sciences. Teach the students the use of statistical

  10. WhartonDepartment of Statistics Data Mining

    E-Print Network [OSTI]

    Stine, Robert A.

    WhartonDepartment of Statistics Data Mining Introduction Bob Stine Dept of Statistics What is data mining? · An insult? · Predictive modeling · Large, wide data sets, often unstructuredDepartment of Statistics Plan · Week 1 · Data mining with regression, logistic regression · Illustrate key ideas

  11. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series GILLES BLANCHARD Associate researcher, Fraunhofer FIRST (IDA) "Statistical Performance of Support Vector Machines" MONDAY, January 29 in Eckhart 110. ABSTRACT I will present a contribution to the statistical analysis of Support Vector Machines

  12. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series YACINE AIT-SAHALIA Bendheim Refreshments following the seminar in Eckhart 110. ABSTRACT We propose statistical tests to discriminate frequency. The two statistics allow for a symmetric treatment of the problem: we can either take the null

  13. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series VENKAT CHANDRASEKARAN Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Statistical Modeling over is motivated by the following question: Suppose we have sample statistics of only a subset of a collection

  14. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series MURAD S. TAQQU Department of Mathematics and Statistics Boston University Self-Similarity and Computer Network Traffic MONDAY, November 8 in Eckhart 110. ABSTRACT Ethernet local area network traffic appears to be approximately statistically self

  15. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics BAHADUR MEMORIAL LECTURES JAMES O. BERGER Department of Statistical Science Duke University "I don't know where I'm gonna go when the volcano blows of mathematical computer modeling, statistical modeling of geophysical data, and extreme-event probability

  16. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seventh Annual Bahadur Memorial Lectures ELIZABETH A. THOMPSON Department of Statistics University of Washington "Uncertainty and Evidence introduced into the statistics literature as a way to describe the uncertainty inherent in a randomized test

  17. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series DAN NICOLAE Department of Statistics The University of Chicago "Quantifying Correlation with Applications to Genome-Wide Association of the statistical issues involved including the need for multi-locus analyses and allowing for environmental risk

  18. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series MATHIAS DRTON Department of Statistics The University of Chicago "Algebraic Factor Analysis: Tetrads, Pentads and Beyond" MONDAY, January in Eckhart 110. ABSTRACT Abstract: Factor analysis refers to a statistical model in which observed variables

  19. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series WEI BIAO WU Department of Statistics The University of Chicago "What is dependence?" MONDAY, March 27, 2006 at 4:00 PM 133 Eckhart Hall of random processes, dependence is the rule rather than the exception. To facilitate the related statistical

  20. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series YING NIAN WU Department of Statistics University of California at Los Angeles "Scale in Natural Scene Image Understanding" MONDAY textures that are often summarized by feature statistics. Although these two classes of patterns appear

  1. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Linda B. Collins Department of Statistics University of Chicago "Issues in Catastrophe Excess-of-Loss Reinsurance Pricing" Monday, December distribution. We discuss the general statistical ideas behind these proprietary models and examine some

  2. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series DANIEL J. SCHAID Mayo Clinic-control studies of candidate genes, we develop a new class of nonparametric statistics that can simultaneously test the association of multiple marker loci with disease. Our approach is based on U-statistics, which

  3. CAPES 2013 PROBABILITY and STATISTICS Ttulo ISSN

    E-Print Network [OSTI]

    Moreira, Carlos Gustavo

    -0918 Communications Series A1 Mathematics & Statistics 1303-5911 Computational and mathematical organization theory-5483 Communications in Mathematical Physics 0010-3616 Communications in statistics. Simulation and computation 0361 communications in probability 1083-589X Electronic journal of applied statistical analysis 2070-5948 Electronic

  4. 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

  5. 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

  6. 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

  7. 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

  8. Fractional quantum Hall effect and nonabelian statistics

    E-Print Network [OSTI]

    N. Read; G. Moore

    1992-02-03

    It is argued that fractional quantum Hall effect wavefunctions can be interpreted as conformal blocks of two-dimensional conformal field theory. Fractional statistics can be extended to nonabelian statistics and examples can be constructed from conformal field theory. The Pfaffian state is related to the 2D Ising model and possesses fractionally charged excitations which are predicted to obey nonabelian statistics.

  9. Lectures on probability and statistics

    SciTech Connect (OSTI)

    Yost, G.P.

    1984-09-01

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

  10. OpenEI Community

    Open Energy Info (EERE)

    1 Oct 2015 - 11:17 0 Where might I find simplified Data on Capital, O&M, and fuel costs? 25 Sep 2015 - 14:15 1 How to access older versions of rates? 7 Sep 2015 - 17:22 1 Do...

  11. OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPI VenturesNewSt.Information OlindaOnslow County,OpTICOpenBarter Jump

  12. OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg, Oregon:OGE EnergyOklahoma: EnergyOpenOpenEI API listingHome

  13. OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII Jump to:InformationInformationOorja Protonics JumpHome All Questions

  14. CEAL Statistics 2009-2010: an Overview

    E-Print Network [OSTI]

    Doll, Vickie

    2011-02-01

    stream_size 15289 stream_content_type text/plain stream_name DOLL_CEAL statistics 2009-2010_ an overview.pdf.txt stream_source_info DOLL_CEAL statistics 2009-2010_ an overview.pdf.txt Content-Encoding UTF-8 Content-Type text... outsourced acquisition. Our sincere thanks to those 50 libraries that participated in the 2010 survey. Vickie Fu Doll Chair, CEAL Statistics University of Kansas CEAL Statistics Database: http://lib.ku.edu/ceal/php CEAL Statistics Homepage...

  15. MediaWiki:Mainpage | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: Energy Resources Jump to:Electric Coop, IncSouthVirginia:Medford,Mainpage Jump

  16. MediaWiki:Sidebar | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: Energy Resources Jump to:Electric Coop,

  17. Nama Database Wiki | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPI Ventures Ltd Jump to: navigation, search59Naknek, Alaska: Energy

  18. MediaWiki:Addsection | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to: navigation, searchScotland JumpPlantationBiofuelOregon:

  19. MediaWiki:Edit | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to: navigation, searchScotland JumpPlantationBiofuelOregon:Edit Jump to:

  20. MediaWiki:Ipboptions | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to: navigation, searchScotland JumpPlantationBiofuelOregon:Edit

  1. MediaWiki:Recentchangestext | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to: navigation, searchScotlandRecentchangestext Jump to: navigation,

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

    E-Print Network [OSTI]

    Hall, Daniel

    Statistics for Teachers: STAT 4/6070 The UGA Statistics Department has been teaching a second course in statistics for mathematics education students since 1998. The course is designed to prepare pre-service and in-service high school mathematics teachers to teach the statistical concepts that appear

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

    E-Print Network [OSTI]

    Ravikumar, B.

    Statistics Page 235Sonoma State University 2015-2016 Catalog STATISTICS DEPARTMENT OF MATHEMATICS AND STATISTICS Darwin Hall 114 phone: (707) 664-2368 email: math@sonoma.edu www.sonoma.edu/math DEPARTMENT CHAIR Brigitte Lahme STATISTICS PROGRAM ADVISORS Susan Herring Elaine Newman ADMINISTRATIVE COORDINATORS Whitney

  4. 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

  5. Developing Your Statistics The Statistics tab is used to display statistics for some or all of your collected samples. You will need at least one sample

    E-Print Network [OSTI]

    Developing Your Statistics The Statistics tab is used to display statistics for some or all of your collected samples. You will need at least one sample and a plot to view statistics. Select Samples Select. are displayed and the statistics are added to the Master Statistics Table. Uncheck samples to remove them from

  6. 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...

  7. Workforce Statistics - NA 00 | National Nuclear Security Administratio...

    National Nuclear Security Administration (NNSA)

    Us Our Operations Management and Budget Office of Civil Rights Workforce Statistics Workforce Statistics - NA 00 Workforce Statistics - NA 00 NA 00 FY14 Semi Annual...

  8. VOStat: A Statistical Web Service for Astronomers

    E-Print Network [OSTI]

    Chakraborty, Arnab; Babu, G Jogesh

    2013-01-01

    VOStat is a Web service providing interactive statistical analysis of astronomical tabular datasets. It is integrated into the suite of analysis and visualization tools associated with the international Virtual Observatory (VO) through the SAMP communication system. A user supplies VOStat with a dataset extracted from the VO, or otherwise acquired, and chooses among $\\sim 60$ statistical functions. These include data transformations, plots and summaries, density estimation, one- and two-sample hypothesis tests, global and local regressions, multivariate analysis and clustering, spatial analysis, directional statistics, survival analysis (for censored data like upper limits), and time series analysis. The statistical operations are performed using the public domain {\\bf R} statistical software environment, including a small fraction of its $>4000$ {\\bf CRAN} add-on packages. The purpose of VOStat is to facilitate a wider range of statistical analyses than are commonly used in astronomy, and to promote use of m...

  9. Statistics for characterizing data on the periphery

    SciTech Connect (OSTI)

    Theiler, James P; Hush, Donald R

    2010-01-01

    We introduce a class of statistics for characterizing the periphery of a distribution, and show that these statistics are particularly valuable for problems in target detection. Because so many detection algorithms are rooted in Gaussian statistics, we concentrate on ellipsoidal models of high-dimensional data distributions (that is to say: covariance matrices), but we recommend several alternatives to the sample covariance matrix that more efficiently model the periphery of a distribution, and can more effectively detect anomalous data samples.

  10. Statistical assessment of Monte Carlo distributional tallies

    SciTech Connect (OSTI)

    Kiedrowski, Brian C; Solomon, Clell J

    2010-12-09

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

  11. Nonextensive statistical effects in nuclear physics problems

    E-Print Network [OSTI]

    G. Kaniadakis; A. Lavagno; M. Lissia; P. Quarati

    1998-12-12

    Recent progresses in statistical mechanics indicate the Tsallis nonextensive thermostatistics as the natural generalization of the standard classical and quantum statistics, when memory effects and long-range forces are not negligible. In this framework, weakly nonextensive statistical deviations can strongly reduce the puzzling discrepancies between experimental data and theoretical previsions for solar neutrinos and for pion transverse-momentum correlations in Pb-Pb high-energy nuclear collisions.

  12. CEAL Statistics 2008-2009: an Overview

    E-Print Network [OSTI]

    Doll, Vickie

    2010-01-01

    stream_size 10836 stream_content_type text/plain stream_name DOLL_CEAL statistics 2008-2009_an overview (JEAL 150).pdf.txt stream_source_info DOLL_CEAL statistics 2008-2009_an overview (JEAL 150).pdf.txt Content-Encoding UTF-8..., study the collection development history, budget trends, collection growth, personnel, and service information. Vickie Fu Doll Chair, CEAL Statistics University of Kansas ...

  13. Statistical Mechanics and Quantum Cosmology

    E-Print Network [OSTI]

    B. L. Hu

    1995-11-29

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

  14. Statistics for Industry Groups and Industries, 2003

    SciTech Connect (OSTI)

    2009-01-18

    Statistics for the U.S. Department of Commerce including types of manufacturing, employees, and products as outlined in the Annual Survey of Manufacturers (ASM).

  15. Statistical methods for nuclear material management

    SciTech Connect (OSTI)

    Bowen W.M.; Bennett, C.A.

    1988-12-01

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

  16. Accuracy and reliability of China's energy statistics

    E-Print Network [OSTI]

    Sinton, Jonathan E.

    2001-01-01

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

  17. Moore honored with American Statistical Association award

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

    impact. Moore is a Fellow of the Royal Statistical Society. Her awards include Certified Six Sigma Master Black Belt, Laboratory Distinguished Performance Team Award, and a...

  18. PHYSICS 775 Statistical Physics Lecturer: Maarten Golterman

    E-Print Network [OSTI]

    Golterman, Maarten

    and P. D. Beale, Statistical Mechanics, third edition only, Academic Press (Elsevier). Prerequisites to contact the instructor. The Disability Programs and Resource Center (DPRC) is available to facilitate

  19. Using a calculator to do statistics

    E-Print Network [OSTI]

    Dave

    2012-03-25

    Statistics on a Scientific Calculator. NOTE: Some of these may not be regular keys on your calculator and may appear in a different color above another key.

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

    E-Print Network [OSTI]

    McNamara, Amelia Ahlers

    2015-01-01

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

  1. 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

  2. Statistics beyond Physics -Misused in Public ?

    E-Print Network [OSTI]

    Kobe, Sigismund

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

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

    E-Print Network [OSTI]

    Symanzik, Jürgen

    1 GIS, SPATIAL STATISTICAL GRAPHICS, AND FOREST HEALTH. James J. Majure, Noel Cressie, Dianne Cook, and Jürgen Symanzik ABSTRACT This paper discusses the use of a geographic information systems (GIS), Arcview, into a geographic information system (GIS), Arcview 2.1 (ESRI 1995), and its use in the statistical analysis of spa

  4. DEPARTMENT OF STATISTICS North Carolina State University

    E-Print Network [OSTI]

    Zhang, Hao "Helen"

    DEPARTMENT OF STATISTICS North Carolina State University 2501 Founders Drive, Campus Box 8203 for Nonparametric Regression in Exponential Families Hao Zhang Department of Statistics, North Carolina State Zhang and Yi Lin North Carolina State University and University of Wisconsin at Madison Abstract: We

  5. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    - dimensional data. In this context, graphical models can act as a tool for regularization and have proven to be excellent tools for the analysis of high dimensional data. Graphi- cal models are statistical models where procedures for graphical models have recently received much attention in the statistics literature. The hyper

  6. Statistical Seismology DAVID VERE-JONES,1

    E-Print Network [OSTI]

    Ben-Zion, Yehuda

    models without statistics, and statistics-based models without physics. This volume, which is based such broad insights into tractable explicit models, that can be fitted to a specific data set and used observations demand matching techniques of modeling and data anal

  7. Statistics W4240: Data Mining Columbia University

    E-Print Network [OSTI]

    Columbia University

    Statistics W4240: Data Mining Columbia University Spring, 2014 Version: January 30, 2014 Massive data collection and storage capacities have led to new statistical questions: · Amazon collects and collects user click-through data on those stories. How should it organize the stories based on the click

  8. Statistical data mining Finn Arup Nielsen

    E-Print Network [OSTI]

    Nielsen, Finn Årup

    Statistical data mining Finn °Arup Nielsen Informatics and Mathematical Modelling Technical University of Denmark February 3, 2004 #12;Introduction · "Statistical data mining". · The goal is "knowledge databases (PubMed, MeSH, fMRIDC, SenseLab) Finn °Arup Nielsen 2 February 3, 2004 #12;Mining for novelty

  9. Department of Mathematics MAL 522 (Statistical Inference)

    E-Print Network [OSTI]

    Dharmaraja, S.

    location parameter family the sample variance is ancillary. 9. Using Basu's theorem establish that sample parameter . Show that (Y1, Y2, . . . , Yn-1) where Yi = X(n) - X(i), i = 1, 2, . . . , n - 1 is ancillary or not the ancillary statistics (Y1, Y2, . . . , Yn-1) is independent of the minimal sufficient statistics of . 12

  10. Conditional statistical inference and quantification of relevance

    E-Print Network [OSTI]

    Sundberg, Rolf

    a quantification of the concept of relevance for conditional in- ference. Conditioning on an ancillary statistic makes inference more relevant in this sense, provided that the ancillary is a precision index. Not all ancillary statistics satisfy this demand. We discuss the problem of choice between alternative ancillary

  11. Multivariate Statistical Tests for Comparing Classification Algorithms

    E-Print Network [OSTI]

    Alpaydýn, Ethem

    Multivariate Statistical Tests for Comparing Classification Algorithms Olcay Taner Yildiz1 , ¨Ozlem these in a single number, we propose to collect multivariate statistics and use multivariate tests on them rate (tpr) and false positive rate (fpr) and a multivariate test can also use such two values instead

  12. STATISTICAL STUDIES OF FILAMENT DISAPPEARANCES AND CMES

    E-Print Network [OSTI]

    STATISTICAL STUDIES OF FILAMENT DISAPPEARANCES AND CMES G. Yang and H. Wang 1 1Big Bear Solar Observatory, 40386 North Shore Lane, Big Bear City, CA 92314, USA ABSTRACT A statistical study of filament full disk images observed between January 1997 and June 1999 is searched for filament and prominence

  13. Towards a Statistically Semantic Web Gerhard Weikum

    E-Print Network [OSTI]

    Waldmann, Uwe

    1/44 Towards a Statistically Semantic Web Gerhard Weikum weikum@mpi-sb.mpg.de http://www.mpi-sb.mpg: ,,There is no semantic anything in CS." Alon Halevy: ,,Structure + Statistics = Semantics" Tim Berners of one`s ignorance." 4/44 #12;A Few Challenging Queries (on Web / Deep Web / Intranet / Personal Info

  14. Computational Aspects in Statistical Signal Processing

    E-Print Network [OSTI]

    Kundu, Debasis

    14 Computational Aspects in Statistical Signal Processing D. Kundu 14.1 Introduction Signal such as communi- cations, radio location of objects, seismic signal processing and computer assisted medical diagnosis. Statistical signal processing is also used in many physical science applications

  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. 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

  17. : ( 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

  18. Scalable Statistical Bug Isolation Computer Sciences Department

    E-Print Network [OSTI]

    Aiken, Alex

    algorithm that isolates bugs in programs containing multiple undiagnosed bugs. Earlier statistical Descriptors D.2.4 [Software Engineer- ing]: Software/Program Verification--statistical methods; D.2 with a program point may or may not be tested each time the program point is reached). A feedback report R

  19. Fractal Statistics and Quantum Black Hole Entropy

    E-Print Network [OSTI]

    Wellington da Cruz

    2000-11-18

    Simple considerations about the fractal characteristic of the quantum-mechanical path give us the opportunity to derive the quantum black hole entropy in connection with the concept of fractal statistics. We show the geometrical origin of the numerical factor of four of the quantum black hole entropy expression and the statistics weight appears as a counting of the quanta of geometry.

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Graduate Programs in Mathematics, Statistics, and Physics The Department of Mathematics, Statistics, and Physics at Wichita State University offers courses leading to the Master of Science (MS) degree in the doctoral program in applied mathematics are applied mathematics, statistics, and applied mathematics-physics

  2. 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

  3. Topology for statistical modeling of petascale data.

    SciTech Connect (OSTI)

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

    2011-07-01

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

  4. Quantum Statistical Processes in the Early Universe

    E-Print Network [OSTI]

    B. L. Hu

    1993-02-22

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

  5. Time as a parameter of statistical ensemble

    E-Print Network [OSTI]

    Sergei Viznyuk

    2011-11-26

    The notion of time is derived as a parameter of statistical ensemble representing the underlying system. Varying population numbers of microstates in statistical ensemble result in different expectation values corresponding to different times. We show a single parameter which equates to the notion of time is logarithm of the total number of microstates in statistical ensemble. We discuss the implications of proposed model for some topics of modern physics: Poincar\\'e recurrence theorem vs. Second Law of Thermodynamics, matter vs. anti-matter asymmetry of the universe, expansion of the universe, Big Bang.

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

    E-Print Network [OSTI]

    Juerg Froehlich

    2008-02-29

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

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

    E-Print Network [OSTI]

    Interdisciplinary Mathematics/Statistics Actuarial Science Sample Plan 2 . 1 MA 161 (4-5) MA/S T 170 ENGL 101 Lab Science Language or 165, 173, 181, 271 ...

  8. Statistical analysis of correlated fossil fuel securities

    E-Print Network [OSTI]

    Li, Derek Z

    2011-01-01

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

  9. 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 ...

  10. Statistical criteria for characterizing irradiance time series.

    SciTech Connect (OSTI)

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

    2010-10-01

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

  11. Statistical Sciences Group, Los Alamos National Laboratory,

    E-Print Network [OSTI]

    Wolfe, Patrick J.

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

  12. Generalized binomial distribution in photon statistics

    E-Print Network [OSTI]

    Aleksey V. Ilyin

    2015-05-28

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

  13. Statistical mechanics of a cat's cradle

    E-Print Network [OSTI]

    Shen, Tongye; Wolynes, Peter G

    2006-01-01

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

  14. Mathematics and Statistics Handbook College of Engineering

    E-Print Network [OSTI]

    Hickman, Mark

    , Chemistry, Physics, Geography, Geology, Biology, Economics and Finance, Philosophy and Engineering. We host of different jobs that require mathematics or statistics and demand for graduates is ever expanding. We live

  15. I/O Statistics Last 30 Days

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

    Last 30 Days These plots show the daily statistics for the last 30 days for the storage systems at NERSC in terms of the amount of data transferred and the number of files...

  16. Introduction to Statistical Issues in Particle Physics

    E-Print Network [OSTI]

    Roger Barlow

    2003-11-20

    An account is given of the methods of working of Experimental High Energy Particle Physics, from the viewpoint of statisticians and others unfamiliar with the field. Current statistical problems, techniques, and hot topics are introduced and discussed.

  17. Multivariate Statistical Analysis of Assembly Tolerance Specifications

    E-Print Network [OSTI]

    i Multivariate Statistical Analysis of Assembly Tolerance Specifications A Thesis Presented ..........................................................................................................12 2.6.1 Multivariate Normal Distributions.8.3 Combined Assembly Specification Quality...............................................22 2.9 Multivariate

  18. Understanding Manufacturing Energy Use Through Statistical Analysis 

    E-Print Network [OSTI]

    Kissock, J. K.; Seryak, J.

    2004-01-01

    Energy in manufacturing facilities is used for direct production of goods, space conditioning, and general facility support such as lighting. This paper presents a methodology for statistically analyzing plant energy use in terms of these major end...

  19. Model Risk in Finance Department of Statistics

    E-Print Network [OSTI]

    Stine, Robert A.

    worth taking Statistical issues Multiplicity Transformations to obtain "independence" Orthogonality Year Valueof$100Investment Case-Shiller Housing Total Stock Market 3 #12;Wharton default Correlation risk Regulatory risk Reputation risk Operational risk Systemic risk, market risk

  20. APS Operational Statistics for FY 2011

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

    FY 2011 Bar Chart of Downtime by System HTML or PDF FY 2011 Bar Chart of Faults by System HTML or PDF Run Statistics by WeekHTML or PDF Studies BreakdownSummary(PDF) Details(PDF)...

  1. Twisted Statistics in kappa-Minkowski Spacetime

    E-Print Network [OSTI]

    T. R. Govindarajan; Kumar S. Gupta; E. Harikumar; S. Meljanac; D. Meljanac

    2008-03-10

    We consider the issue of statistics for identical particles or fields in kappa-deformed spaces, where the system admits a symmetry group G. We obtain the twisted flip operator compatible with the action of the symmetry group, which is relevant for describing particle statistics in presence of the noncommutativity. It is shown that for a special class of realizations, the twisted flip operator is independent of the ordering prescription.

  2. Statistical Mechanics of Two-dimensional Foams

    E-Print Network [OSTI]

    Marc Durand

    2010-09-07

    The methods of statistical mechanics are applied to two-dimensional foams under macroscopic agitation. A new variable -- the total cell curvature -- is introduced, which plays the role of energy in conventional statistical thermodynamics. The probability distribution of the number of sides for a cell of given area is derived. This expression allows to correlate the distribution of sides ("topological disorder") to the distribution of sizes ("geometrical disorder") in a foam. The model predictions agree well with available experimental data.

  3. 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

  4. 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

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

    E-Print Network [OSTI]

    Suri, Manil

    STATISTICS MAJOR REQUIREMENTS: ADVISEMENT FORM BACHELOR OF SCIENCE DEGREE APPLIED STATISTICS TRACK STAT 350 Statistics with Applications in the Biological Sciences OR STAT 351 Applied Statistics for Business and Economics OR STAT 355 Introduction to Probability and Statistics for Scientists and Engineers

  6. 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

  7. OpenIntro Statistics: an Open-source Textbook

    E-Print Network [OSTI]

    Cetinkaya-Rundel, Mine; Diez, David M; Barr, Christopher D

    2013-01-01

    OpenIntro Statistics: an open-source textbook 1.0to teaching introductory statistics. Section 2 also touchesIntroductory courses in statistics, the type that require no

  8. Local asymptotic normality in quantum statistics

    E-Print Network [OSTI]

    Madalin Guta; Anna Jencova

    2007-05-24

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

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

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

    2: December 21, 2009 Freight Statistics by Mode, 2007 Commodity Flow Survey Fact 602: December 21, 2009 Freight Statistics by Mode, 2007 Commodity Flow Survey Results from the...

  10. Statistical Design, Analysis and Graphics for the Guadalupe

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    da Silva, Robert Louis

    2014-01-01

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

  12. Statistical surrogate models for prediction of high-consequence...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Statistical surrogate models for prediction of high-consequence climate change. Citation Details In-Document Search Title: Statistical surrogate models for...

  13. Statistical Surrogate Models for Estimating Probability of High...

    Office of Scientific and Technical Information (OSTI)

    Statistical Surrogate Models for Estimating Probability of High-Consequence Climate Change. Citation Details In-Document Search Title: Statistical Surrogate Models for Estimating...

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

    E-Print Network [OSTI]

    Harraway, John A

    2012-01-01

    S. (2010) Statistical software for teaching: relevant,2005) Fathom Dynamic Data Software (Version 2) Emeryville,to R. Journal of Statistical Software. 14: (9). URL http://

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

    E-Print Network [OSTI]

    2005-01-07

    problems of mathematical statistics consists of determining the functions F(t) for which ... statistics is linear, the general method of solving such problems is that of

  16. Environment/Health/Safety (EHS): Monthly Accident Statistics

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

    Personal Protective Equipment (PPE) Injury Review & Analysis Worker Safety and Health Program: PUB-3851 Monthly Accident Statistics Latest Accident Statistics Accident...

  17. Semi-Poisson statistics in quantum chaos

    E-Print Network [OSTI]

    Antonio M. Garcia-Garcia; Jiao Wang

    2006-05-01

    We investigate the quantum properties of a non-random Hamiltonian with a step-like singularity. It is shown that the eigenfunctions are multifractals and, in a certain range of parameters, the level statistics is described exactly by Semi-Poisson statistics (SP) typical of pseudo-integrable systems. It is also shown that our results are universal; namely, they depend exclusively on the presence of the step-like singularity and are not modified by smooth perturbations of the potential or the addition of a magnetic flux. Although the quantum properties of our system are similar to those of a disordered conductor at the Anderson transition, we report important quantitative differences in both the level statistics and the multifractal dimensions controlling the transition. Finally the study of quantum transport properties suggests that the classical singularity induces quantum anomalous diffusion. We discuss how these findings may be experimentally corroborated by using ultra cold atoms techniques.

  18. Spin-Statistics Violations in Superstring Theory

    E-Print Network [OSTI]

    Mark G. Jackson

    2008-12-30

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

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

    E-Print Network [OSTI]

    Sriraman, Bharath

    -Index: 17 scholar.google.com Copyright - Jan Feyereisl (v.1.211) Project Page view publications AuthorA Google Scholar gadget for calculating author citations and other statistical information regarding publications. more... Statistics: Citations for 'Sriraman.B' : 1153 Cited Publications: 100 H

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

    E-Print Network [OSTI]

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

    2004-06-22

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

  1. Introduction to CEAL Online Statistics I

    E-Print Network [OSTI]

    Doll, Vickie; Liu, Wen-ling

    2014-09-25

    CEAL Statistics Open Data, 1957- CEAL stats workshop I 109/25/2014 CEAL Statistics Open Data, 1957- •Table View (Basic and Advance) •Graph View (Basic and Advance) •Quick View •PDF CEAL stats workshop I 209/25/2014 Table View (Basic) CEAL stats... workshop I 309/25/2014 Table View (Basic) Search the database with year(s) and libraries, and view all the data and fields available in individual tables. CEAL stats workshop I 409/25/2014 Table View (Basic) Choose multiple years and libraries (use...

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

    E-Print Network [OSTI]

    Bernd Kuckert; Reinhard Lorenzen

    2005-12-21

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

  3. On the explanation for quantum statistics

    E-Print Network [OSTI]

    Simon Saunders

    2005-11-15

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

  4. Spectral statistics of nearly unidirectional quantum graphs

    E-Print Network [OSTI]

    Maram Akila; Boris Gutkin

    2015-08-19

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

  5. Black Hole Thermodynamics and Statistical Mechanics

    E-Print Network [OSTI]

    Steven Carlip

    2008-07-28

    We have known for more than thirty years that black holes behave as thermodynamic systems, radiating as black bodies with characteristic temperatures and entropies. This behavior is not only interesting in its own right; it could also, through a statistical mechanical description, cast light on some of the deep problems of quantizing gravity. In these lectures, I review what we currently know about black hole thermodynamics and statistical mechanics, suggest a rather speculative "universal" characterization of the underlying states, and describe some key open questions.

  6. On statistical methods of structure function extraction

    E-Print Network [OSTI]

    S. N. Sevbitov; T. V. Shishkina; I. L. Solovtsov

    2007-11-29

    Several methods of statistical analysis are proposed and analyzed in application for a specific task -- extraction of the structure functions from the cross sections of deep inelastic interactions of any type. We formulate the method based on the orthogonal weight functions and on an optimization procedure of errors minimization as well as methods underlying common $\\chi^2$ minimization. Effectiveness of these methods usage is analyzed by comparison of the statistical parameters such as bias, extraction variance etc., for sample deep inelastic scattering data set.

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

    E-Print Network [OSTI]

    Symanzik, Jürgen

    , and Jürgen Symanzik ABSTRACT This paper discusses the use of a geographic information systems (GIS), Arcview, into a geographic information system (GIS), Arcview 2.1 (ESRI 1995), and its use in the statistical analysis of spa Program (EMAP). The field data are augmented with concomitant geographic information, including Landsat

  8. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    Stephens, Matthew

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

  9. Remarks on statistical errors in equivalent widths

    E-Print Network [OSTI]

    Klaus Vollmann; Thomas Eversberg

    2006-07-03

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

  10. Purpose of journals Some popular statistical journals

    E-Print Network [OSTI]

    Reich, Brian J.

    Outline · Purpose of journals · Some popular statistical journals · How to structure a journal article · What makes a good journal article? · Editorial structure of a journal · The review process · Submitting a paper · Acting as a referee 1 #12;Purpose of journals Research: The mechanism by which knowledge

  11. Statistical Consistency With Dempster's Rule on

    E-Print Network [OSTI]

    Valtorta, Marco

    Parameters Stephen D. Durham Department of Statistics, University of South Carolina, Columbia, South Carolina Jeffery S. Smoika MEMC Electronic Materials, Inc., Spartanburg, South Carolina Marco Valtorta Department of Computer Science, University of South Carolina, Columbia, South Carolina ABSTRACT This paper defines

  12. SHORT REVIEW Statistical tests of selective neutrality

    E-Print Network [OSTI]

    Nielsen, Rasmus

    SHORT REVIEW Statistical tests of selective neutrality in the age of genomics RASMUS NIELSEN genomic data for traces of selection provides a powerful tool for identifying genomic regions genomic data sets has invigorated the ®eld of molecular population genetics and spurred new controversies

  13. URI WILENSKY STATISTICAL MECHANICS FOR SECONDARY SCHOOL

    E-Print Network [OSTI]

    Wilensky, Uri

    , is made accessible to these students through the medium of a computer-based modeling environment, Net exploring and constructing computer-based models of that content. This paper presents a case study of a high of a secondary teacher and students constructing and exploring NetLogo models of statistical mech- anical

  14. Spectral statistics for scaling quantum graphs

    E-Print Network [OSTI]

    Yu. Dabaghian

    2006-08-09

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

  15. STATISTICAL ANALYSIS OF PROTEIN FOLDING KINETICS

    E-Print Network [OSTI]

    Dinner, Aaron

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

  16. A Statistical Framework for Spatial Comparative Genomics

    E-Print Network [OSTI]

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

  17. Differential Privacy and Robust Statistics Cynthia Dwork

    E-Print Network [OSTI]

    Lei, Jing

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

  18. MINI-WORKSHOP ANNOUNCEMENT Department of Statistics

    E-Print Network [OSTI]

    Stephens, Matthew

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

  19. 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

  20. 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

  1. Communication as information use: insights from statistical

    E-Print Network [OSTI]

    Stephens, David W.

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

  2. Information Theory and Statistical Physics - Lecture Notes

    E-Print Network [OSTI]

    Merhav, Neri

    2010-01-01

    This document consists of lecture notes for a graduate course, which focuses on the relations between Information Theory and Statistical Physics. The course is aimed at EE graduate students in the area of Communications and Information Theory, as well as to graduate students in Physics who have basic background in Information Theory. Strong emphasis is given to the analogy and parallelism between Information Theory and Statistical Physics, as well as to the insights, the analysis tools and techniques that can be borrowed from Statistical Physics and `imported' to certain problem areas in Information Theory. This is a research trend that has been very active in the last few decades, and the hope is that by exposing the student to the meeting points between these two disciplines, we will enhance his/her background and perspective to carry out research in the field. A short outline of the course is as follows: Introduction; Elementary Statistical Physics and its Relation to Information Theory; Analysis Tools in ...

  3. Multivariate Statistics Unit code: MATH38061

    E-Print Network [OSTI]

    Sidorov, Nikita

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

  4. Multivariate Statistics Unit code: MATH48061

    E-Print Network [OSTI]

    Sidorov, Nikita

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

  5. 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

  6. Presented by Statistical Physics of Fracture

    E-Print Network [OSTI]

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

  7. Seismic imaging using higher order statistics 

    E-Print Network [OSTI]

    Srinivasan, Karthik

    1999-01-01

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

  8. Baseballs and Barrels: World Statistics Day

    Broader source: Energy.gov [DOE]

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

  9. Heat pump market and statistics report 2013

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

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

  10. Problems on Non-Equilibrium Statistical Physics 

    E-Print Network [OSTI]

    Kim, Moochan

    2011-08-08

    Four problems in non-equilibrium statistical physics are investigated: 1. The thermodynamics of single-photon gas; 2. Energy of the ground state in Multi-electron atoms; 3. Energy state of the H2 molecule; and 4. The Condensation behavior in N...

  11. STATISTICS 579 R Tutorial : Programming in R

    E-Print Network [OSTI]

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

  12. SYLLABUS MATH 7608 STATISTICAL PROGRAMMING WITH R

    E-Print Network [OSTI]

    Hagen, Thomas

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

  13. statistical physics canonical ensemble Uranium Centrifuges

    E-Print Network [OSTI]

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

  14. Fractal statistics, fractal index and fractons

    E-Print Network [OSTI]

    Wellington da Cruz

    2000-10-10

    The concept of fractal index is introduced in connection with the idea of universal class $h$ of particles or quasiparticles, termed fractons, which obey fractal statistics. We show the relation between fractons and conformal field theory(CFT)-quasiparticles taking into account the central charge $c[\

  15. Daily Precipitation Statistics: An Intercomparison between

    E-Print Network [OSTI]

    Zeng, Ning

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

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

    E-Print Network [OSTI]

    Wang, Xudong

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

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

    E-Print Network [OSTI]

    Maxwell, Bruce D.

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

  18. n-Gram Statistics in MapReduce

    E-Print Network [OSTI]

    Waldmann, Uwe

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

  19. 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

  20. 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

  1. 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

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

    E-Print Network [OSTI]

    Seamons, Kent E.

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

  3. 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

  4. 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

  5. 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

  6. 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

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

    E-Print Network [OSTI]

    Kagan, Yan Y

    2010-01-01

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

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

    E-Print Network [OSTI]

    Bleher, Pavel

    Journal of Statistical Physics, Vol. 74. Nos. 1/2, 1994 Energy-Level Statistics of Model Quantum limit of a distribution for annuli of finite area. KEY WORDS: Energy-level statistics; integrable Received June 17. 1993 We investigate the statistics of the number N(R, S) of lattice points, n EZ

  9. 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

  10. Robust statistical reconstruction for charged particle tomography

    DOE Patents [OSTI]

    2013-10-08

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

  11. Statistical Issues in Searches for New Physics

    E-Print Network [OSTI]

    Louis Lyons

    2014-09-05

    Given the cost, both financial and even more importantly in terms of human effort, in building High Energy Physics accelerators and detectors and running them, it is important to use good statistical techniques in analysing data. Some of the statistical issues that arise in searches for New Physics are discussed briefly. They include topics such as: Should we insist on the 5 sigma criterion for discovery claims? The probability of A, given B, is not the same as the probability of B, given A. The meaning of p-values. What is Wilks Theorem and when does it not apply? How should we deal with the `Look Elsewhere Effect'? Dealing with systematics such as background parametrisation. Coverage: What is it and does my method have the correct coverage? The use of p0 versus p1 plots.

  12. A different approach to introducing statistical mechanics

    E-Print Network [OSTI]

    Moore, Thomas A

    2015-01-01

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

  13. Consequences of Flooding on Spectral Statistics

    E-Print Network [OSTI]

    Torsten Rudolf; Normann Mertig; Steffen Löck; Arnd Bäcker

    2012-04-05

    We study spectral statistics in systems with a mixed phase space, in which regions of regular and chaotic motion coexist. Increasing their density of states, we observe a transition of the level-spacing distribution P(s) from Berry-Robnik to Wigner statistics, although the underlying classical phase-space structure and the effective Planck constant remain unchanged. This transition is induced by flooding, i.e., the disappearance of regular states due to increasing regular-to-chaotic couplings. We account for this effect by a flooding-improved Berry-Robnik distribution, in which an effectively reduced size of the regular island enters. To additionally describe power-law level repulsion at small spacings, we extend this prediction by explicitly considering the tunneling couplings between regular and chaotic states. This results in a flooding- and tunneling-improved Berry-Robnik distribution which is in excellent agreement with numerical data.

  14. Topological Cacti: Visualizing Contour-based Statistics

    SciTech Connect (OSTI)

    Weber, Gunther H.; Bremer, Peer-Timo; Pascucci, Valerio

    2011-05-26

    Contours, the connected components of level sets, play an important role in understanding the global structure of a scalar field. In particular their nestingbehavior and topology-often represented in form of a contour tree-have been used extensively for visualization and analysis. However, traditional contour trees onlyencode structural properties like number of contours or the nesting of contours, but little quantitative information such as volume or other statistics. Here we use thesegmentation implied by a contour tree to compute a large number of per-contour (interval) based statistics of both the function defining the contour tree as well asother co-located functions. We introduce a new visual metaphor for contour trees, called topological cacti, that extends the traditional toporrery display of acontour tree to display additional quantitative information as width of the cactus trunk and length of its spikes. We apply the new technique to scalar fields ofvarying dimension and different measures to demonstrate the effectiveness of the approach.

  15. Entropic cosmology through non-gaussian statistics

    E-Print Network [OSTI]

    Nunes, Rafael C; Abreu, Everton M C; Neto, Jorge Ananias

    2015-01-01

    Based on the relationship between thermodynamics and gravity, and with the aid of Verlinde's formalism, we propose an alternative interpretation of the dynamical evolution of the Friedmann-Robertson-Walker Universe, which takes into account the entropy and temperature intrinsic to the horizon of the universe due to the information holographically stored there through non-gaussian statistical theories proposed by Tsallis and Kaniadakis. We use the most recent data of type Ia supernovae, baryon acoustic oscillations, and the Hubble expansion rate function to constrain the free parameters on the $\\Lambda$CDM and $w$CDM models modified by the non-gaussian statistics. We evaluate the problem of age and we note that such modifications solve the problem at 1$\\sigma$ level confidence. Also we analyze the effects on the linear growth of matter density perturbations.

  16. Mathematical and Statistical Opportunities in Cyber Security

    E-Print Network [OSTI]

    Meza, Juan; Bailey, David

    2009-01-01

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

  17. Statistical approach to nuclear level density

    SciTech Connect (OSTI)

    Sen'kov, R. A.; Horoi, M.; Zelevinsky, V. G.

    2014-10-15

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

  18. Lecture Notes in Statistical Mechanics and Mesoscopics

    E-Print Network [OSTI]

    Doron Cohen

    2012-07-19

    These are the lecture notes for quantum and statistical mechanics courses that are given by DC at Ben-Gurion University. They are complementary to "Lecture Notes in Quantum Mechanics" [arXiv: quant-ph/0605180]. Some additional topics are covered, including: introduction to master equations; non-equilibrium processes; fluctuation theorems; linear response theory; adiabatic transport; the Kubo formalism; and the scattering approach to mesoscopics.

  19. Statistical review of coal in Canada, 1997

    SciTech Connect (OSTI)

    Not Available

    1999-01-01

    The paper presents an annual review of the coal industry, including production, exports and imports, and consumption. An overview is given, followed by more detailed statistical data for the current year and preceding decade (supply and demand, value and volume of supply by province, coal production by class or province, exports by destination, coal consumed in power generation by province, electrical energy production by fuel type, domestic demand for primary energy by type).

  20. Statistical equilibrium in deterministic cellular automata

    E-Print Network [OSTI]

    Siamak Taati

    2015-05-24

    Some deterministic cellular automata have been observed to follow the pattern of the second law of thermodynamics: starting from a partially disordered state, the system evolves towards a state of equilibrium characterized by maximal disorder. This chapter is an exposition of this phenomenon and of a statistical scheme for its explanation. The formulation is in the same vein as Boltzmann's ideas, but the simple combinatorial setup offers clarification and hope for generic mathematically rigorous results. Probabilities represent frequencies and subjective interpretations are avoided.

  1. Discriminative methods for statistical spoken dialogue systems

    E-Print Network [OSTI]

    Henderson, Matthew S.

    2015-06-30

    figures and tables. Some of the work presented here was pub- lished in the Special Interest Group on Discourse and Dialogue (Henderson et al., 2014b, 2013, 2014a) and the IEEE workshop on Spoken Language Technology (Henderson et al., 2014c, 2012, 2014d... Understanding . . . . . . . . . . . . . . . . . . . . . . . 8 2.3 Dialogue State Tracking . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.4 Dialogue Management . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 2.4.1 Statistical Dialogue...

  2. Weatherization Assistance Program - Background Data and Statistics

    SciTech Connect (OSTI)

    Eisenberg, Joel Fred [ORNL

    2010-03-01

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

  3. OpenEI - Organizations - OpenEI Datasets

    Open Energy Info (EERE)

    (SOX), particulate matter smaller than 2.5m and smaller than... CSV Indonesia Crude Oil Refinery Outlook to 2020 Market Research Background & Res... Description Indonesia...

  4. OpenEI green button SDK | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPI VenturesNewSt.Information OlindaOnslow

  5. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'SHeavyAgency (IRENA)Options JumpOpenEI Community Central Home >

  6. New OpenEI Homepage | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to: navigation,MeregNIFESpinningLtdElectric&Water Util Jump to:New

  7. OpenEI API listing | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg, Oregon:OGE EnergyOklahoma: EnergyOpenOpenEI API listing Home

  8. OpenEI API. Implementation help | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg, Oregon:OGE EnergyOklahoma: EnergyOpenOpenEI API listing

  9. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg, Oregon:OGE EnergyOklahoma:Visualizing OpenEIHow toOpenEI

  10. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg, Oregon:OGE EnergyOklahoma:Visualizing OpenEIHow

  11. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg, Oregon:OGE EnergyOklahoma:Visualizing OpenEIHowOpenEI

  12. OpenEI dashboard | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg, Oregon:OGE EnergyOklahoma:VisualizingOpenEI Town Hall

  13. OpenEI search improvements | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg, Oregon:OGE EnergyOklahoma:VisualizingOpenEI TownOpenEI search

  14. Questions about OpenEI? | OpenEI Community

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS Report Url JumpTechnology JumpPrueba

  15. A quality OpenEI entry | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowa (UtilityMichigan)data bookresult9) JumpMultipleSprings ThermalratiosA

  16. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for downloadGRR 3rdNevada Meeting

  17. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for downloadGRR 3rdNevada MeetingOpenEI

  18. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for downloadGRR 3rdNevada

  19. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for downloadGRR 3rdNevadaOpenEI

  20. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for downloadGRR 3rdNevadaOpenEIOpenEI

  1. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for downloadGRR

  2. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for downloadGRROpenEI Community Central

  3. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for downloadGRROpenEI Community

  4. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for downloadGRROpenEI CommunityOpenEI

  5. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for downloadGRROpenEI

  6. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for downloadGRROpenEIOpenEI Community

  7. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for downloadGRROpenEIOpenEI

  8. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for downloadGRROpenEIOpenEIOpenEI

  9. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for downloadGRROpenEIOpenEIOpenEIOpenEI

  10. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for

  11. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available forOpenEI Community Central Home >

  12. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available forOpenEI Community Central Home

  13. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available forOpenEI Community Central HomeOpenEI

  14. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available forOpenEI Community Central

  15. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available forOpenEI Community CentralOpenEI

  16. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available forOpenEI Community CentralOpenEIOpenEI

  17. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available forOpenEI Community

  18. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available forOpenEI CommunityOpenEI Community

  19. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available forOpenEI CommunityOpenEI

  20. OpenEI Community Central | OpenEI Community

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available forOpenEI CommunityOpenEIask queries