Mohaghegh, Shahab
job gains in natural resources and mining (new coal mine and continued development of the Marcellus. In addition, state and federal budgets are likely to tighten during the forecast, putting pressure on spending OF BUSINESS AND ECONOMIC RESEARCH COLLEGE OF BUSINESS AND ECONOMICS WEST VIRGINIA UNIVERSITY www
Master's of School Administration (MSA)
Olszewski Jr., Edward A.
Master's of School Administration (MSA) Program and Add-On Licensure Handbook #12;2 TABLE OF EDUCATION UNIVERSITY OF NORTH CAROLINA WILMINGTON MASTER OF SCHOOL ADMINISTRATION Graduates of the Master of School Administration (M.S.A.) program will be effective educational leaders who can inspire, engage
The Future Metropolitan Landscape
Bosselmann, Peter; Ruggeri, Deni
2007-01-01T23:59:59.000Z
The Future Metropolitan Landscape Peter Bosselmann and DeniMetropolitan Landscape The Future Metropolitan Landscape Thecomplex phenomenon of “The Future Metropolitan Landscape. ”
2012 Hanford Climate Survey Report - MSA Report
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article) |govInstrumentsmfrirtA Journey InsideMicroBooNE LArTPCTypicalTeen'sNuclearNovemberEnergy12CHPRC Report PreparedMSA
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
T R A C T News Release Mission Support Alliance September 23, 2010 FOR IMMEDIATE RELEASE Media Contacts: Deanna Smith, MSA Communications, 308-5476; deannalsmith@rl.gov Photo...
The Determinants of Attitudes towards Strategic Default on Mortgages
their house in the Salinas, CA metropolitan statistical area (MSA) in 2006 was -$214,305.2 Unfortunately, we
Lubbock Metropolitan Transportation Plan
Lubbock Metropolitan Planning Organization
2007-09-18T23:59:59.000Z
in the foreground and the Lubbock Area Veterans Memorial in the background EXECUTIVE SUMMARY This Metropolitan Transportation Plan was developed based upon the four Lubbock Metropolitan Planning Organization?s (MPO) goals of Improve Safety ? Congestion... Management ? Economic Development ? System Preservation. The long-range Metropolitan Transportation Plan (MTP) of the Lubbock Metropolitan Planning Organization (MPO) is the document - based on the projection of transportation demand and the input...
Deng, Xiaodan
2015-05-12T23:59:59.000Z
offers a better understanding of the location and segregation patterns of same-sex couples in metropolitan areas in the U.S. It also fills an important information gap by providing an empirical perspective to the vibrant policy and intellectual debates...
Joint DOE-MSA News Release Media Contacts:
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default Sign In AboutIs gravityJeffersonFridayOctober 22, 2014 Joint DOE-MSA News
Lubbock Metropolitan Transportation Plan
Lubbock Metropolitan Planning Organization
2007-09-18T23:59:59.000Z
Lubbock Metropolitan Transportation Plan: 2032 Approved: September 18, 2007 Prepared by: Lubbock Metropolitan Planning Organization This Plan was produced with funds made available... through the Federal Highway Administration, the Federal Transit Administration, and the Texas Department of Transportation. All opinions, findings, and conclusions presented in the Plan reflect the views of the Plan authors. The contents do...
Abilene Metropolitan Area Metropolitan Transportation Plan 2010-2035
Abilene Metropolitan Planning Organization
2010-01-12T23:59:59.000Z
Abilene Metropolitan Area Metropolitan Transportation Plan 2010-2035 Developed by The Abilene Metropolitan Planning Organization In cooperation with the following: City of Abilene, Texas City of Impact, Texas City of Tye..., Texas Jones County Taylor County Texas Department of Transportation United States Department of Transportation Federal Highway Administration Federal Transit Administration Adopted by Policy Board January 12, 2010 Table...
TransBorder 2035 Metropolitan Transportation Plan
El Paso Metropolitan Planning Organization
2007-11-16T23:59:59.000Z
i TransBorder 2035 Metropolitan Transportation Plan November 16, 2007 El Paso Metropolitan Planning Organization www.elpasompo.org ii TransBorder 2035 Metropolitan Transportation Plan November 16, 2007... El Paso Metropolitan Planning Organization www.elpasompo.org iii TransBorder 2035 Metropolitan Transportation Plan November 16, 2007 El Paso Metropolitan Planning Organization www.elpasompo.org iv Trans...
Metropolitan Transportation Plan 2035
Tyler Area Metropolitan Planning Organization
2009-12-04T23:59:59.000Z
.............................................................. 10-4 Table 10-2 ITS Short-Term Projects (5-Year) Impacting Tyler MPA ............................... 10-7 Table 10-3 ITS Mid-Term Projects (10-Year) Impacting Tyler MPA ................................ 10-9 Table 10-4 ITS Long-Term Projects (20... COMMITTEE ........................................................................... 1-2 MPO STAFF............................................................................................................... 1-3 METROPOLITAN PLANNING AREA...
The Metropolitan Water District of Southern California
Broader source: Energy.gov (indexed) [DOE]
ERcomments@hq.doe.gov Comments on the Department of Energy's Quadrennial Energy Review: Water-Energy Nexus The Metropolitan Water District of Southern California (Metropolitan) is...
UMass Lowell MSA Curriculum outline Students with undergraduate non-accounting business degrees
Massachusetts at Lowell, University of
UMass Lowell MSA Curriculum outline Students with undergraduate non-accounting business degrees Credits Prerequisite undergraduate courses (5 courses required): 1 60.301 Intermediate Accounting I (60.202 Managerial Accounting) 3 60.302 Intermediate Accounting II (60.301 Intermediate Accounting I ) 3 60.321 Cost
Amarillo Metropolitan Transportation Plan 2010-2035
Amarillo Metropolitan Planning Organization
2009-10-15T23:59:59.000Z
amarillo metropolitan transportation plan 2010-2035 AMARILLO METROPOLITAN TRANSPORTATION PLAN 2010-2035 AMARILLO URBAN TRANSPORTATION STUDY AMARILLO METROPOLITAN... TRANSPORTATION PLAN 2010-2035 Prepared By: AMARILLO METROPOLITAN PLANNING ORGANIZATION Approved: October 15, 2009 Effective: October 21, 2009. Revised: January 21, 2010 Update Due: October 21, 2014...
Diantoro, Markus, E-mail: m-diantoror@yahoo.com; Fitrianingsih, Rina, E-mail: m-diantoror@yahoo.com; Mufti, Nandang, E-mail: m-diantoror@yahoo.com; Fuad, Abdulloh, E-mail: m-diantoror@yahoo.com [Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang (UM), Jl. Semarang No. 5 Malang 65145 (Indonesia)
2014-03-24T23:59:59.000Z
Nanosilver is currently one of the most common engineered nanomaterials and is used in many applications that lead to the release of silver nanoparticles and silver ions into aqueous systems. Nanosilver also possesses enhanced antimicrobial activity and bioavailability that may less environmental risk compared with other manufactured nanomaterials. Described in this research are the synthesis of silver nanoparticle produced by chemical reduction from silver nitrate (AgNO{sub 3}) solution. As a reducing agent, Sodium Borohydride (NaBH{sub 4}) was used and mercaptosuccinic Acid (MSA) as stabilizer to prevent the nanoparticle from aglomerating. It was also used two kinds of solvent, they are water and methanol. In typical experiment MSA was dissolve in methanol with a number of variation of molarity i.e. 0,03 M, 0,06 M, 0,12 M, 0,15 M, and the mixture was kept under vigorous stirring in an ice bath. A solution of silver nitrate of 340 mg in 6,792 ml water was added. A freshly prepared aqueous solution of sodium borohydride (756,6 mL in 100 mL of water) was added drop wisely. The solution was kept for half an hour for stirring and were allowed to settle down in methanol. The obtained samples then characterized by means of x-ray diffractometer, and scanning electron microscopy, as well as transmission electron microscopy to obtain their structures of silver nanoparticles, morphology, and sizes. It is shown that diameter of silver nanoparticle sized about 24.3 nm (Ag@MSA 0.03 M), 20.4 nm (Ag@MSA 0.06 M), 16.8 nm (Ag@MSA 0.12 M), 16.9 nm (Ag@MSA 0.15 M) which was calculated by Scherrer formula by taking the FWHM from fitting to Gaussian. The phases and lattice parameter showed that there is no significant change in its volume by increasing molarity of stabilizer. In contrast, the size of particles is decreasing.
Abilene Metropolitan Area Metropolitan Transportation Plan 2010-2035
Abilene Metropolitan Planning Organization
2010-01-12T23:59:59.000Z
Metropolitan Area Map 1-13 Section 2: Planning Factors Section 3: Transit Element Section 4: Road and Trail Element Appendix A: Historical Growth Trends Links to Additional Reference Materials Abilene Comprehensive Plan http...://www.abilenetx.com/planningservices/doc/AbileneCompPlan.pdf Available at http://abilenempo.org/documents.html Abilene Frontage Road Feasibility Study Regional Transit Service Coordination Plan South Downtown Abilene Plan Thoroughfare plan map Glossary of Key Terms The Abilene Metropolitan Area...
Balasundaram, Balabhaskar "Baski"
-up percentages also were deter- mined. The results of the survey follow. Delivery of Food & Beverage Products.g. Deli Delights), manufacturing representative (e.g. Blue Sky Bakery), per- sonal delivery, specialty food shops such as Native Roots Market in Norman, Okla., have opened their doors with a major
Rubin, Herman [bio] Professor of Statistics and Mathematics PhD: University of Chicago 1948. Office: MATH 550; Phone: +1 765 49-46054; Email: ...
Baton Rouge Metropolitan Transportation Plan Update
Capital Region Planning Commission
(028) SUBMITTED TO: LOUISIANA DEPARTMENT OF TRANSPORTATION AND DEVELOPMENT SUBMITTED BY: IN ASSOCIATION WITH: & FINAL Metropolitan Transportation Plan Update Baton Rouge, LA... ............................189? X. APPENDIX .........................................................................................................................195? ? Metropolitan Transportation Plan Update...
Las Cruces MPO 2040 Metropolitan Transportation Plan
Las Cruces Metropolitan Planning Organization
2010-06-09T23:59:59.000Z
TRANSPORT 2040 Las Cruces Metropolitan Planning Organization 2010 METROPOLITAN TRANSPORTATION PLAN 2010 ? 2040 METROPOLITAN PLANNING ORGANIZATION LAS CRUCES MESILLA DO..., their direction was felt throughout the development of this plan. Special Thanks MPO staff would like to thank two staff people from the MPO advisory committees who provided significant contributions to Transport 2040, but had moved on prior to adoption...
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default Sign InCenter3.82 4.23 1967-20103, BPAJanuary 27-29,U . S . D eANDMSA
Mobility 2035 Metropolitan Transportation Plan
Killeen-Temple Urban Transportation Study
2009-05-20T23:59:59.000Z
Killeen-Temple Urban Transportation Plan Mobility 2035 Metropolitan Transportation Plan Revised: 10... Transportation Planner, Lori Morel (ex officio) TxDOT ? TPP Barbara C. Maley, AICP FHWA-Texas Division *Andy Bird Garrison Command, Fort Hood * Denotes voting member Bell County: Commissioner, John Fisher County Judge Jon Burrows...
2/28/2007 3:41 PM 1 DRAFT Proposed `Revised Procedure' for MSA/NEPA Compliance
environmental impact assessment procedure for FMPs, plan amendments, regulations, or other actions taken environmental review procedure, and a single environmental impact assessment (EIA), that pertains to all FMPs MSA. The distinction between an environmental assessment (EA), and environmental impact statement (EIS
Metropolitan Transportation Plan 2009-2035
South Central Planning and Development Commission
2009-05-14T23:59:59.000Z
?? Metropolitan? Transportation?Plan? 2009?2035? ? This?document?is?the?long?range?transportation?plan?for?the?Houma?Thibodaux? Metropolitan?Planning?Organization.??It?represents?the?staged?implementation?of? the?transportation...?needs?in?the?Houma?Thibodaux?urbanized?area,?extending?from? 2009?to?2035.? ? Adopted?on?May?14,?2009? Prepared?by?the?South?Central?Planning?and?Development?Commission? ? Adopted My 14, 2009 [METROPOLITAN TRANSPORTATION PLAN] 2 Contents Chapters Page 1 Introduction 5 2 Existing...
"For good design, you pay now; for bad design, you pay later"--or do you?
Murugappan, Meena
2006-01-01T23:59:59.000Z
What is the value of architectural design on office building income? This empirical study of 296 office building located in 11 Metropolitan Statistical Areas (MSA) hopes to quantitatively determine if a plain vanilla cereal ...
Transportation 2035 Longview Metropolitan Transportation Plan
Longview Metropolitan Planning Organization
2009-11-12T23:59:59.000Z
LONGVIEW METROPOLITAN TRANSPORTATION PLAN Prepared by: The Longview Metropolitan Planning Organization In cooperation with: o City of Longview o City of White Oak o Gregg County o Harrison County o Texas Department of Transportation o U....S. Department of Transportation o Federal Highway Administration o Federal Transit Administration Adopted November 12, 2009 TRANSPORTATION 2035 TABLE OF CONTENTS...
Metropolitan Accessibility and Transportation Sustainability:Sustainability
Papalambros, Panos
Institute SMART Sustainable Mobility and Accessibility Research andSMART Sustainable MobilityMetropolitan Accessibility and Transportation Sustainability:Sustainability: Comparative Reduce (fulfillment of)Promote Sustainability: Meet needs of (fulfillment of) needs present
The Metropolitan Surface Water Management Act (Minnesota)
Broader source: Energy.gov [DOE]
The Metropolitan Surface Water Management Act aims to protect, preserve, and use natural, surface, and groundwater storage and retention systems; identify and plan for means to improve and protect...
Transportation 2035 Longview Metropolitan Transportation Plan
Longview Metropolitan Planning Organization
2009-11-12T23:59:59.000Z
requirements for developing transportation plans. Plans must address multiple transportation modes and consider a number of transportation issues, including connectivity, land use, and management systems. Efficient use of existing systems is emphasized..., and project solicitation. Metropolitan Transportation Plan (MTP) project solicitation was conducted in the form of a public opinion transportation survey. With guidance and input from the Longview Metropolitan Planning Organization?s Technical Committee...
The 2005 - 2030 Harlingen-San Benito Metropolitan Transportation Plan
Harlingen-San Benito Metropolitan Planning Organization
2004-12-29T23:59:59.000Z
THE 2005 - 2030 HARLINGEN-SAN BENITO METROPOLITAN TRANSPORTATION PLAN Prepared by: The Harlingen - San Benito Metropolitan Planning Organization in cooperation with: the Texas Department of Transportation The Federal Highway... Administration, and The Federal Transit Administration Adopted December 29,2004 Harlingen-San Benito MPO Harlingen - San Benito Metropolitan Transportation Plan: 2005-2030 Table of Contents TABLE OF CONTENTS 1. INTRODUCTION...
Metropolitan Transportation Plan 2005-2030
Santa Fe Metropolitan Planning Organization
1999-01-01T23:59:59.000Z
The Santa Fe Metropolitan Transportation Plan 2005-2030 (MTP) replaces the Santa Fe MPO Long Range Transportation Plan 2000-2020 as a guide for developing a safer, more efficient and effective transportation system that serves the residents... Management 32 4.9 Inter-Modal Facilities 34 5.0 Financial Element 36 Table: Transportation System Costs and Allocations 2005-2030 37 Anticipated Revenues and Other Financial Resources 38 1.0 Introduction 1.1 Santa Fe MPO Metropolitan Transportation Plan...
Barber, Stuart
, Leeds Metropolitan University, School of Information m Management, Leeds, LS6 3QS; email: p.marchant@leedsmet.ac.uk; phone: 0113 283 6109; fax: 0113 283 7599 Paul D. Baxter* and Stuart Barber, University of Leeds, Department of Statistics, Leeds LS2 9JT; email: pdbaxt@maths.leeds.ac.uk, stuart@maths.leeds.ac.uk; phone
Lafayette Metropolitan Planning Organization 2030 Transportation Plan
Lafayette Metropolitan Planning Organization
2010-10-31T23:59:59.000Z
................................. 39 TABLE 6.1 ? LAFAYETTE METROPOLITAN AREA 2030 TRANSPORTATION PLANCOMMITTED PROJECTS TO BE ADDED TO 2000 BASE YEAR NETWORK . 43 TABLE 6.2 ? TRAFFIC FORECAST FOR EACH EXTERNAL STATION ............................. 48 TABLE 6.3 ? FORECAST TRIP... ..................................................................................................................... 36 TABLE 5.2 ? VALIDATION BY FUNCTIONAL CLASS ........................................................ 38 TABLE 5.3 ? VALIDATION BY VOLUME GROUP ................................................................ 38 TABLE 5.4 ? THE DISTRIBUTION...
METROPOLITAN TRANSPORTATION SUPPORT INITIATIVE (METSI) QUARTERLY REPORT
Illinois at Chicago, University of
METROPOLITAN TRANSPORTATION SUPPORT INITIATIVE (METSI) QUARTERLY REPORT for the quarter ending over 50%) of residents throughout the state of Illinois would support a 5 cent per gallon gas tax if the proceeds were to improve roads and transit. The other survey, 2002 Market Survey undertaken by RTA examined
Columbia metropolitan Convention Center Columbia, South Carolina
Valtorta, Marco
at the Columbia metropolitan Convention Center Columbia, South Carolina marCh 23-25, 2011 Bringing Center 101 linColn Street Bringing Open SOurce tO the SOutheaSt Columbia, South Carolina developerS, edu team member, Rails Bringing Open SOurce tO the SOutheaSt Columbia, South Carolina POSSCON 2010 kicked
Amarillo Metropolitan Transportation Plan 2010-2035
Amarillo Metropolitan Planning Organization
2009-10-15T23:59:59.000Z
, natural resources, environmental protection, conservation, and historic preservation concerning the development of long- and short- range transportation plans. MPO maintains a website www.amarillompo.org that includes this Metropolitan Transportation... Commissioner City of Amarillo Alan M. Taylor City Manager City of Amarillo Howard Holland, P.E. District Engineer TxDOT Kenneth Petr, P.E. Dir. of Transportation Planning & Development TxDOT Judge Arthur Ware County Judge Potter County H.R. Kelly County...
Metropolitan Transportation Plan 2005-2030
Santa Fe Metropolitan Planning Organization
1999-01-01T23:59:59.000Z
The Santa Fe Metropolitan Transportation Plan 2005-2030 (MTP) replaces the Santa Fe MPO Long Range Transportation Plan 2000-2020 as a guide for developing a safer, more efficient and effective transportation system that serves the residents... and bikeways. Improving connections between schools, businesses and neighborhoods will enhance the multi-modal character of our transportation system as well as provide the opportunity for people to be less ?car-dependent?. The ?Safe Routes to Schools...
Metropolitan Transportation Plan Fiscal Year 2010 - 2035
Corpus Christi Metropolitan Planning Organization
2009-12-03T23:59:59.000Z
metropolitan transportation plan fiscal year 2010 - 2035 C O R P U S C H R I S T I M E T R O P O L I T A N P L A N N I N G O R G A N I Z A T I O N Approved by the Transportation Policy Committee December 3, 2009... Approved by the Transportation Policy Committee December 3, 2009 Disclaimer Statement: The preparation of this report has been financed in part through grant[s] from the Federal Highway Administration and Federal...
Connections 2035 The Waco Metropolitan Transportation Plan
Waco Metropolitan Planning Organization
2010-02-03T23:59:59.000Z
stream_source_info Waco 2035 MTP.pdf.txt stream_content_type text/plain stream_size 448416 Content-Encoding ISO-8859-1 stream_name Waco 2035 MTP.pdf.txt Content-Type text/plain; charset=ISO-8859-1 C... Administration, and the Texas Department of Transportation. Preface The Waco Metropolitan Planning Organization has prepared this plan in compliance with the Safe, Accountable, Flexible and Efficient Transportation Equity Act: A Legacy for Users (SAFETEA...
Jonesboro Metropolitan Planning Organization 2030 Long Range Transportation Plan
Jonesboro Metropolitan Planning Organization
2005-01-01T23:59:59.000Z
Jonesboro Metropolitan Planning Organization In cooperation with the Arkansas State Highway and Transportation Department United States Department of Transportation Federal Highway Administration Federal Transit Administration... Prepared by the Jonesboro Metropolitan Planning Organization September 2005 Jonesboro Area MPO 2030 Long Range Transportation Plan Table of Contents i Table of Contents Chapter 1: Introduction and Vision 1-1 Plan Scope 1-1 Study Area...
New Orleans Urbanized Area Metropolitan Transportation Plan FY 2032
New Orleans Urbanized Area Regional Planning Commission
2007-06-12T23:59:59.000Z
----------------------------------------------------------- 4 Statutory Authority for Plan Development---------------------------------------------------------- 5 Hurricane Katrina--------------------------------------------------------------------------------------- 6 Metropolitan Transportation Plan... (ITS) technologies with Homeland Security preparedness and response. SAFETEA-LU covers the fi ve year period FY06 through FY10. Funding over the life of the bill totals $ billion. The scope of projects included in this Metropolitan Transportation...
Metropolitan Road Traffic Simulation on FPGAs.
Tripp J. L. (Justin L.); Mortveit, H. S. (Henning S.); Hansson, A. A. (Anders A.); Gokhale, M. (Maya)
2005-01-01T23:59:59.000Z
This work demonstrates that road traffic simulation of entire metropolitan areas is possible with reconfigurable supercomputing that combines 64-bit microprocessors and FPGAs in a high bandwidth, low latency interconnect. Previously, traffic simulation on FPGAs was limited to very short road segments or required a very large number of FPGAs. Our data streaming approach overcomes scaling issues associated with direct implementations and still allows for high-level parallelism by dividing the data sets between hardware and software across the reconfigurable supercomputer. Using one FPGA on the Cray XD1 supercomputer, we are able to achieve a 34.4 x speed up over the AMD microprocessor. System integration issues must be optimized to exploit this speedup in the overall simulation.
Metropolitan Edison Company SEF Loans (FirstEnergy Territory)
Broader source: Energy.gov [DOE]
FirstEnergy (formerly GPU) established the Metropolitan Edison Company Sustainable Energy Fund in 2000 with an initial contribution of $5.7 million. The fund later received an additional...
Efficient detection of contagious outbreaks in massive metropolitan encounter networks
Sun, Lijun
Physical contact remains difficult to trace in large metropolitan networks, though it is a key vehicle for the transmission of contagious outbreaks. Co-presence encounters during daily transit use provide us with a city-scale ...
Victoria Metropolitan Transportation Plan Update 2005-2030
Victoria Metropolitan Planning Organization
Restore Roadway $2,800,000.00 R65 Loop 463 From Salem Road to US 59 Business Add 2 Lanes for a 4-Lane Divided Facility $6,500,000.00 R70 US 77 Business At Guadalupe River Widen Bridge and Approaches $1,580,000.00 METROPOLITAN TRANSPORTATION.... The growth needs real transportation options to support itself. Metropolitan Planning Organization CONTENTS VISION & GOALS PARTICIPANTS PROCESS & PROGRESS SHORT-RANGE PROJECTS FIGURES VICTORIA PROJECT MAP...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
has the potential to disrupt the way we think about energy.August 24, 2015 Medical and biofuel advances possible with new gene regulation tool The key is a tunable switch made from...
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default Sign InCenter3.82 4.23 1967-20103, BPAJanuary 27-29,U . S . D
Sustainable metropolitan growth strategies : exploring the role of the built environment
Diao, Mi, Ph. D. Massachusetts Institute of Technology
2010-01-01T23:59:59.000Z
The sustainability of metropolitan areas has been considered one of the most significant social challenges worldwide. Among the various policy options to achieve sustainable metropolitan growth, smart-growth strategies ...
Huang, Haiying
The Fast Track-Accounting program will enable outstanding senior undergraduate Accounting students to satisfy degree requirements leading to a Master's of Science in Accounting (MSA) or Master's of Science work is required to continue taking graduate courses. Any Fast Track - Accounting student who completes
Kinjo, Akira R
2015-01-01T23:59:59.000Z
The multiple sequence alignment (MSA) of a protein family provides a wealth of information in terms of the conservation pattern of amino acid residues not only at each alignment site but also between distant sites. In order to statistically model the MSA incorporating both short-range and long-range correlations as well as insertions, I have derived a lattice gas model of the MSA based on the principle of maximum entropy. The partition function, obtained by the transfer matrix method with a mean-field approximation, accounts for all possible alignments with all possible sequences. The model parameters for short-range and long-range interactions were determined by a self-consistent condition and by a Gaussian approximation, respectively. Using this model with and without long-range interactions, I analyzed the globin and V-set domains by increasing the "temperature" and by "mutating" a site. The correlations between residue conservation and various measures of the system's stability indicate that the long-rang...
Technical Report Documentation Page 1 2. Government Accession No.1. Report No.
of Texas, Energy Office 16. Abstract Austin, Texas, a rapidly growing city, will have to make decisions Metropolitan Statistical Area (MSA) grew 40% from 1970 to 1980 and by 46% from 1980 to 1990. Again, the bulk. No. of Pages Unclassified 85 I22. Price19. Security Classif.(ofthis report) Unclassified Form DOT F
Fargo-Moorhead Metropolitan Flood Risk Management Feasibility Study
US Army Corps of Engineers
Fargo-Moorhead Metropolitan Flood Risk Management Feasibility Study North Dakota and Minnesota Quality Bulletin for Peer Review released December 16, 2004. This flood risk management feasibility study flood risk management and recreation needs of the study area in February 2010. An IEPR of the draft
Metropolitan Ethernet Network: A Move from LAN to MAN
California at Davis, University of
transformed from a CSMA/CD technology providing low throughput to a full duplex link increasing the throughput the transformation of Ethernet from the mainstream LAN technology to the possible adoption for metropolitan area networks (MENs). This paper will introduce the movement from basic Ethernet to the carrier grade Ethernet
The structure of agriculture in metropolitan and nonmetropolitan America
Scott, Michelle L
2003-01-01T23:59:59.000Z
the following questions: (1) What was the structure of U.S. agricultural production systems in 1992 and had this structure changed by 1997? (2) What was the relationship between metropolitan proximity and U.S. agristructure and its changes from 1992 to 1997...
Pricing Schemes for Metropolitan Traffic Data Markets Negin Golrezaei1
Shahabi, Cyrus
. Traffic congestion is a growing problem in many metropolitan areas. It not only wastes our time and energy), congestion, and accidents' data on freeways and arterial. 3 This data is mainly used to obtained predictions-turn navigate systems). Currently, in most countries (including the United States), the traffic data is provided
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM MATTHEW STEPHENS Departments of Statistics and Human statistical methods in genomics, among other areas of application. A typical workflow consists of i
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM HUIBIN ZHOU Department of Statistics Yale University to obtain statistical inference for estimation of Gaussian Graphical Model? A regression approach
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM JEROME FRIEDMAN Department of Statistics Stanford Ensemble methods have emerged as being among the most powerful statistical learning techniques. It is shown
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM SAMUEL KOU Department of Statistics Harvard University Stochastic Inference of Dynamic System Models: From Single-Molecule Experiments to Statistical
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM GOURAB MUKHERJEE Department of Statistics Stanford directions in statistical probability forecasting. Building on these parallels we present a frequentist
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM ZONGMING MA Department of Statistics University (CCA) is a widely used multivariate statistical technique for exploring the relation between two sets
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM INGRAM OLKIN Department of Statistics Stanford probability, statistics, combinatorics and graphs, numerical analysis and matrix theory. Special emphasis
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM KAMIAR RAD Department of Statistics Columbia carrying a finite total amount of information, the asymptotic sufficient statistics of the stimulus
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM ADRIAN RAFTERY Department of Statistics University will describe a Bayesian statistical method for probabilistic population projections for all countries
Keller, Arturo A.
;BackgroundBackground Climate change & global warming Greenhouse gas emissions Legislation Governor's Executive Order S-3-05 AB32: Reduction of GHG Emissions Climate change & global warming Greenhouse gas,385 GWh 2005 Metropolitan elect. usage = 1,940 GWh (0.7% of Calif.) Enough electricity for 280,000 homes
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM DAVID BLEI Department of Statistics and Computer posterior inference algorithms have revolutionized Bayesian statistics, revealing its potential as a usable and general-purpose language for data analysis. Bayesian statistics, however, has not yet reached
Crow, Ben D
2006-01-01T23:59:59.000Z
of Globalization: Statistics Weiss, L. (1997). "of Globalization: Statistics Milanovic, B. (1999). Truethe focus of global statistics, particularly in relation to
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
LeeAnn Martinez (505) 667-3308 Email Find Expertise header Search our employee skills database Statistical Sciences Statistical Sciences provides statistical reasoning and...
Tulsa Metropolitan Area Destination 2030 Long Range Transportation Plan
Indian Nations Council of Governments
2005-01-01T23:59:59.000Z
Indian Nations Council of GovernmentsIndian Nations Council of Governments August 2005August 2005 Tulsa Metropolitan Area LONG RANGE TRANSPORTATION PLAN CONTACTING INCOG In developing the Destination 2030 Long Range Transportation Plan, INCOG?s... Transportation Planning Division has concentrated on producing a document that is both useful and comprehensive. If during your review of this document you have any questions or need additional information, please feel free to contact the Transportation Planning...
Washington Metropolitan Area Transit Authority: Compressed Natural Gas Transit Bus Evaluation
Chandler, K.; Eberts, E.; Melendez, M.
2006-04-01T23:59:59.000Z
Evaluates compressed natural gas (CNG) powered transit buses at Washington Metropolitan Area Transit Authority (WMATA), providing a comparison between them and standard diesel transit buses.
Car Based Transport and Transit Oriented Metropolitan —— Chinese Urban Motorization Pathways
Ximing, Lu
2008-01-01T23:59:59.000Z
Car Based Transport and Transit Oriented Metropolitan ——the automobile, the result is that car ownership has becomeof American families lack cars. In China, however, large
Statistical Laboratory & Department of Statistics
Statistical Laboratory & Department of Statistics Annual Report July 1, 2005 to December 31, 2006...............................................33 Statistical Computing Section ......................................34 CSSM and statistical methodology in the nutritional sciences. We were also very pleased to secure a permanent lecturer
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM Joint seminar with Stevanovich Center PHILIPPE RIGOLLET Operations Research and Financial Engineering, Princeton University The Statistical Price to Pay ABSTRACT Computational limitations of statistical problems have largely been ignored or simply over- come
32. Statistics 1 32. STATISTICS
Masci, Frank
an overview of statistical methods used in High Energy Physics. In statistics, we are interested in using and their statistical uncertainties in High Energy Physics. In Bayesian statistics, the interpretation of probability32. Statistics 1 32. STATISTICS Revised September 2007 by G. Cowan (RHUL). This chapter gives
Topographically-Based Real-Time Traffic Anomaly Detection in a Metropolitan Highway System
Grossman, Robert
Topographically-Based Real-Time Traffic Anomaly Detection in a Metropolitan Highway System Rajmonda metropolitan area. Our Chicago Alert System (CAS) considers both the spatial and temporal aspects of the data of attack, the need for real-time traffic management is crucial. Real-time traffic management encompasses
DraftApril 7, 2009 Features of Climate-Smart Metropolitan Economies
of metropolitan America. With two-thirds of the U.S. population and nearly three-quarters of the nation's economic of the nation's greenhouse gas (GHG) emissions. At the same time, metropolitan America is the traditional locus, such as coal and oil, for energy.3 (Here, the terms carbon emissions or carbon footprint both indicate
Final Independent External Peer Review Report Fargo-Moorhead Metropolitan Flood Risk
US Army Corps of Engineers
Final Independent External Peer Review Report Fargo-Moorhead Metropolitan Flood Risk Management of the Army U.S. Army Corps of Engineers Flood Risk Management Planning Center of Expertise Sacramento-Moorhead Metropolitan Flood Risk Management Feasibility Study North Dakota and Minnesota by Battelle 505 King Avenue
32. Statistics 1 32. STATISTICS
Masci, Frank
32. Statistics 1 32. STATISTICS Revised September 2007 by G. Cowan (RHUL). This chapter gives an overview of statistical methods used in High Energy Physics. In statistics, we are interested in using's validity or to determine the values of its parameters. There are two main approaches to statistical
Statistical Laboratory & Department of Statistics
by the American Statistical Association. Dean Isaacson and Mark Kaiser were instrumental in garnering a NationalStatistical Laboratory & Department of Statistics Annual Report July 1, 2002 to June 30, 2003 IOWA Chair of the Department of Statistics and Director of the Statistical Laboratory in November, 2002. Dean
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM GONGJUN XU Department of Statistics Columbia University Statistical Inference for Diagnostic Classification Models MONDAY, February 18, 2013 at 4:00 PM-driven construction (estimation) of the Q-matrix and related statistical issues of DCMs. I will first give
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM ERNST WIT Statistics and Probability University devices collect a lot of information, typically about few independent statistical subjects or units statistics. In certain special cases the method can be tweaked to obtain L1-penalized GLM solution paths
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM PO-LING LOH Department of Statistics University the seminar in Eckhart 110 ABSTRACT Noisy and missing data are prevalent in many real-world statistical, and provide theoretical guarantees for the statistical consistency of our methods. Although our estimators
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM SAYAN MUKHERJEE Department of Statistical Science vignettes where topological ideas are explored in statistical models of complex traits, machine learning such as sufficient statistics and dictionary learning will be touched on. I will describe an application
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM ERIC KOLACZYK Department of Statistics Boston University Statistical Analysis of Network Data: (Re)visiting the Foundations MONDAY, October 13, 2014, at 4, statistical methods and modeling have been central to these efforts. But how well do we truly understand
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM NOUREDDINE EL KAROUI Department of Statistics will discuss the behavior of widely used statistical methods in the high-dimensional setting where the number surprising statistical phenomena occur: for instance, maximum likelihood methods are shown to be (grossly
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM PETER GUTTORP University of Washington and Norwegian Computing Center The Heat Is On! A Statistical Look at the State of the Climate MONDAY, May 6, 2013 at 4
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM SRIRAM SANKARARAMAN Department of Genetics Harvard Medical School Statistical Models for Analyzing Ancient Human Admixture WEDNESDAY, January 21, 2015, at 4 become available, as well as appropriate statistical models. In the first part of my talk, I will focus
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM ROBERT NOWAK Department of Electrical and Computer-dimensional statistical models to capture the complexity of such problems. Most of the work in this direction has focused of statistical inference. These procedures automatically adapt the measurements in order to focus and optimize
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM 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
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default Sign InCenter3.82 4.23 1967-20103, BPAJanuary 27-29,U . S . D917 Revision 0
(Draft) Community air pollution and mortality: Analysis of 1980 data from US metropolitan areas
Lipfert, F.W.
1992-11-01T23:59:59.000Z
1980 data from up to 149 metropolitan areas were used to define cross-sectional associations between community air pollution and ``excess`` human mortality. The regression model proposed by Ozkaynak and Thurston (1987), which accounted for age, race, education, poverty, and population density, was evaluated and several new models were developed. The new models also accounted for migration, drinking water hardness, and smoking, and included a more detailed description of race. Cause-of-death categories analyzed include all causes, all ``non-external`` causes, major cardiovascular diseases, and chronic obstructive pulmonary diseases (COPD). Both annual mortality rates and their logarithms were analyzed. Air quality data were obtained from the EPA AIRS database (TSP, SO{sub 4}{sup =}, Mn, and ozone) and from the inhalable particulate network (PM{sub 15}, PM{sub 2.5} and SO{sub 4}{sup =}, for 63{sup 4} locations). The data on particulates were averaged across all monitoring stations available for each SMSA and the TSP data were restricted to the year 1980. The associations between mortality and air pollution were found to be dependent on the socioeconomic factors included in the models, the specific locations included in the data set, and the type of statistical model used. Statistically significant associations were found as follows: between TSP and mortality due to non-external causes with log-linear models, but not with a linear model betweenestimated 10-year average (1980--90) ozone levels and 1980 non-external and cardiovascular deaths; and between TSP and COPD mortality for both linear and log-linear models. When the sulfate contribution to TSP was subtracted, the relationship with COPD mortality was strengthened.
(Draft) Community air pollution and mortality: Analysis of 1980 data from US metropolitan areas
Lipfert, F.W.
1992-11-01T23:59:59.000Z
1980 data from up to 149 metropolitan areas were used to define cross-sectional associations between community air pollution and excess'' human mortality. The regression model proposed by Ozkaynak and Thurston (1987), which accounted for age, race, education, poverty, and population density, was evaluated and several new models were developed. The new models also accounted for migration, drinking water hardness, and smoking, and included a more detailed description of race. Cause-of-death categories analyzed include all causes, all non-external'' causes, major cardiovascular diseases, and chronic obstructive pulmonary diseases (COPD). Both annual mortality rates and their logarithms were analyzed. Air quality data were obtained from the EPA AIRS database (TSP, SO[sub 4][sup =], Mn, and ozone) and from the inhalable particulate network (PM[sub 15], PM[sub 2.5] and SO[sub 4][sup =], for 63[sup 4] locations). The data on particulates were averaged across all monitoring stations available for each SMSA and the TSP data were restricted to the year 1980. The associations between mortality and air pollution were found to be dependent on the socioeconomic factors included in the models, the specific locations included in the data set, and the type of statistical model used. Statistically significant associations were found as follows: between TSP and mortality due to non-external causes with log-linear models, but not with a linear model betweenestimated 10-year average (1980--90) ozone levels and 1980 non-external and cardiovascular deaths; and between TSP and COPD mortality for both linear and log-linear models. When the sulfate contribution to TSP was subtracted, the relationship with COPD mortality was strengthened.
Hot Springs Metropolitan Planning Organization 2030 Long Range Transportation Plan
Hot Springs Metropolitan Planning Organization
2005-11-03T23:59:59.000Z
PROCESS 21 FIGURE 3-2 ? METROPOLITAN PLANNING PROCESS DOCUMENTS 22 FIGURE 5-1 ? CONCEPTUAL ROADWAY FUNCTIONAL HIERARCHY 36 LIST OF MAPS MAP 2-1 ? HSA- MPO STUDY AREA 6 MAP 2-2 ? FUTURE LAND USE 11 MAP 2-3 ? POPULATION...,763 120-1 103-2 111-1 111-2 105-2 105-1 HOT SPRINGS VILLAGE POPULATION = 6.985 120-2 869 1229 1862 0 7,000 14,000 21,000 28,0003,500 Feet Total MPO Area Census Designated Urban Area HSA-MPO 2030 LRTP7 18, 65 2 20 , 6 8 5 23 , 423 27, 42 3 30, 5 62 35...
Efficient detection of contagious outbreaks in massive metropolitan encounter networks
Sun, Lijun; Lee, Der-Horng; Cebrian, Manuel
2014-01-01T23:59:59.000Z
Physical contact remains difficult to trace in large metropolitan networks, though it is a key vehicle for the transmission of contagious outbreaks. Co-presence encounters during daily transit use provide us with a city-scale time-resolved physical contact network, consisting of 1 billion contacts among 3 million transit users. Here, we study the advantage that knowledge of such co-presence structures may provide for early detection of contagious outbreaks. We first examine the "friend sensor" scheme --- a simple, but universal strategy requiring only local information --- and demonstrate that it provides significant early detection of simulated outbreaks. Taking advantage of the full network structure, we then identify advanced "global sensor sets", obtaining substantial early warning times savings over the friends sensor scheme. Individuals with highest number of encounters are the most efficient sensors, with performance comparable to individuals with the highest travel frequency, exploratory behavior and ...
Raich, Uri
2006-01-01T23:59:59.000Z
This study is about the impact of decentralization in metropolitan areas. Studies of fiscal decentralization have largely centered on the formal tiers of government, without looking at the effects of this process on the ...
Metropolitan governance and local land use planning in Boston, Denver, and Portland
Rosan, Christina
2007-01-01T23:59:59.000Z
Metropolitan areas across the U.S. are characterized by sprawling development which uses larger amounts of open space than necessary, leads to the inefficient use of energy and water, increases social inequality, and causes ...
Impact of primary formaldehyde on air pollution in the Mexico City Metropolitan Area
Lei, Wenfang
Formaldehyde (HCHO) is a radical source that plays an important role in urban atmospheric chemistry and ozone formation. The Mexico City Metropolitan Area (MCMA) is characterized by high anthropogenic emissions of HCHO ...
Paek, Seunggeun
2006-10-30T23:59:59.000Z
The main purpose of this study was to obtain a better understanding of the impact of urban growth and change on sustainability based on a comparative study of municipalities comprising Gyeonggi Province within the Seoul Metropolitan Region, Korea...
Economic impact of M.I.T. on Cambridge and Metropolitan Boston
Finberg, Irving William
1964-01-01T23:59:59.000Z
This thesis investigated the economic impact of the Massachusetts Institute of Technology on its host city, Cambridge, and upon the Boston Metropolitan Area. The primary purpose was to develop sufficient information about ...
Term statistics Zipf's law text statistics
Lu, Jianguo
Term statistics Zipf's law text statistics October 20, 2014 text statistics 1 / 19 #12;Term statistics Zipf's law Overview 1 Term statistics 2 Zipf's law text statistics 2 / 19 #12;Term statistics Zipf's law Outline 1 Term statistics 2 Zipf's law text statistics 3 / 19 #12;Term statistics Zipf's law Model
Jefferson Orange Hardin Regional Transportation Study 2007 Metropolitan Transportation Plan - 2030
South East Texas Regional Planning Commission
2007-04-12T23:59:59.000Z
JOHRTS 2007 Metropolitan Transportation Plan ? 2030 Page 1 - 1 In 1974, the Governor of Texas designated the South East Texas Regional Planning Commission (SETRPC) as the Metropolitan Planning Organization (MPO) for Jefferson, Orange..., and Hardin Counties. As the MPO, SETRPC is responsible for conducting comprehensive, coordinated, and continuing long- range transportation planning in the three-county region. The SETRPC-MPO conducts the transportation planning process to develop a 20...
Areas Participating in the Oxygenated Gasoline Program (Released in the STEO July 1999)
Reports and Publications (EIA)
1999-01-01T23:59:59.000Z
Section 211(m) of the Clean Air Act (42 U.S.C. 7401-7671q) requires that gasoline containing at least 2.7% oxygen by weight is to be used in the wintertime in those areas of the county that exceed the carbon monoxide National Ambient Air Quality Standards (NAAQS). The winter oxygenated gasoline program applies to all gasoline sold in the larger of the Consolidated Metropolitan Statistical Area (CMSA) or Metropolitan Statistical Area (MSA) in which the nonattainment area is located.
Ortiz Mantilla, Bernardo Jose, 1977-
2005-01-01T23:59:59.000Z
The MCMA complexity in political, institutional, economical, and jurisdictional terms has resulted in limited coordination between MCMA authorities that in conjunction with the limited role of metropolitan transportation ...
Michele Arzano; Dario Benedetti
2008-09-04T23:59:59.000Z
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.
Jan de Leeuw
2011-01-01T23:59:59.000Z
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
Hunter, David
, following the publication of Venables & Ripley (1994). [See p. 1. Where that takes a significantly betterÂPlus 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
Four Faculty Positions Applied Statistics & Computational Statistics
Shepp, Larry
Four Faculty Positions Applied Statistics & Computational Statistics The Department of Statistics at the Assistant Professor rank. Two positions are open in the area of Applied Statistics, with a focus on the development of statistical methodology and statistical consulting. The other two positions are open
FARGO-MOORHEAD METROPOLITAN AREA, ND AND MN FLOOD RISK MANAGEMENT PROJECT
US Army Corps of Engineers
FARGO-MOORHEAD METROPOLITAN AREA, ND AND MN FLOOD RISK MANAGEMENT PROJECT 23 September 2011, and technically feasible flood risk management for Fargo, North Dakota, Moorhead, Minnesota, and the surrounding area, and a storage area to reduce the existing and future flood risk and damages to public and private
Fuel-Based On-Road Motor Vehicle Emissions Inventory for the Denver Metropolitan Area
Denver, University of
Fuel-Based On-Road Motor Vehicle Emissions Inventory for the Denver Metropolitan Area Sajal S inventory.1 Thus, an assessment of emissions from motor vehicles is crucial to understanding the air quality of a given region. Until recently, motor vehicle emission inventories have been travel-based; that is
DraftApril 7, 2009 Features of Climate-Smart Metropolitan Economies
solving environmental challenges. With supportive federal policies, metropolitan areas can provide the low impacts of the U.S. economy.2 The Climate Challenge Carbon dioxide accounted for 84 percent of U, such as coal and oil, for energy.3 (Here, the terms carbon emissions or carbon footprint both indicate
Lipfert, F.W.
1992-11-01T23:59:59.000Z
1980 data from up to 149 metropolitan areas were used to define cross-sectional associations between community air pollution and excess human mortality. The regression model proposed by Oezkaynak and Thurston, which accounted for age, race, education, poverty, and population density, was evaluated and several new models were developed. The new models also accounted for population change, drinking water hardness, and smoking, and included a more detailed description of race. Cause-of-death categories analyzed include all causes, all non-external causes, major cardiovascular diseases, and chronic obstructive pulmonary diseases (COPD). Both annual mortality rates and their logarithms were analyzed. The data on particulates were averaged across all monitoring stations available for each SMSA and the TSP data were restricted to the year 1980. The associations between mortality and air pollution were found to be dependent on the socioeconomic factors included in the models, the specific locations included din the data set, and the type of statistical model used. Statistically significant associations were found between TSP and mortality due to non-external causes with log-linear models, but not with a linear model, and between TS and COPD mortality for both linear and log-linear models. When the sulfate contribution to TSP was subtracted, the relationship with COPD mortality was strengthened. Scatter plots and quintile analyses suggested a TSP threshold for COPD mortality at around 65 ug/m{sup 3} (annual average). SO{sub 4}{sup {minus}2}, Mn, PM{sup 15}, and PM{sub 2.5} were not significantly associated with mortality using the new models.
J. Mark Heinzle; Claes Uggla
2012-12-21T23:59:59.000Z
In this paper we explore stochastical and statistical properties of so-called recurring spike induced Kasner sequences. Such sequences arise in recurring spike formation, which is needed together with the more familiar BKL scenario to yield a complete description of generic spacelike singularities. In particular we derive a probability distribution for recurring spike induced Kasner sequences, complementing similar available BKL results, which makes comparisons possible. As examples of applications, we derive results for so-called large and small curvature phases and the Hubble-normalized Weyl scalar.
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5(Million Cubic Feet) Oregon (Including Vehicle Fuel) (MillionStructural Basis of Wnt Recognition by Frizzled SSRLDr. Donald L. Cook Foron516 Statistical
Rutter, A. P.
In order to expand the currently limited understanding of atmospheric mercury source-receptor relationships in the Mexico City Metropolitan Area, real time measurements of atmospheric mercury were made at a downtown urban ...
Lobyaem, Sonchai
2006-10-30T23:59:59.000Z
Bangkok is widely known for its severe traffic congestion. The Thai government advocates the concept of jobs and housing balance (JHB) as a strategy for reducing traffic congestion in Metropolitan Bangkok. The basic idea ...
Larsen, Tamara C. (Tamara Candace), 1977-
2003-01-01T23:59:59.000Z
The purpose of this thesis is to present a case for institutional equity investment in brownfields in the urban core of major metropolitan areas. Pension plans and university endowments are the primary institutional investors ...
Statistical Software - Overview
Jan De Leeuw
2011-01-01T23:59:59.000Z
Review of Statistical Software. International As- sociationStatistical Methods Need Software: A View of Statisti- calJournal of Statistical Software, 13, 2004. URL http://www.
Statistical Software - Overview
Leeuw, Jan De
2010-01-01T23:59:59.000Z
Review of Statistical Software. International As- sociationStatistical Methods Need Software: A View of Statisti- calJournal of Statistical Software, 13, 2004. URL http://www.
Generalizations of quantum statistics
O. W. Greenberg
2008-05-02T23:59:59.000Z
We review generalizations of quantum statistics, including parabose, parafermi, and quon statistics, but not including anyon statistics, which is special to two dimensions.
Computing and Introductory Statistics
Kaplan, Daniel
2007-01-01T23:59:59.000Z
W. , (2007) “The Introductory Statistics Course: A PtolemaicTechnology Innovations in Statistics Education,1, Article 1.and Introductory Statistics Daniel T. Kaplan Macalester
FISHERY STATISTICS UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1972 STATISTICAL DIGEST NO. 66 Prepared by STATISTICS;ACKNOWLEDGMENTS The data in this edition of "Fishery Statistics of the United States" were collected in co- operation with the various States and tabulated by the staff of the Statistics and Market News Division
MDI-QKD: Continuous- versus discrete-variables at metropolitan distances
Stefano Pirandola; Carlo Ottaviani; Gaetana Spedalieri; Christian Weedbrook; Samuel L. Braunstein; Seth Lloyd; Tobias Gehring; Christian S. Jacobsen; Ulrik L. Andersen
2015-08-01T23:59:59.000Z
In a comment, Xu, Curty, Qi, Qian, and Lo claimed that discrete-variable (DV) measurement device independent (MDI) quantum key distribution (QKD) would compete with its continuous-variable (CV) counterpart at metropolitan distances. Actually, Xu et al.'s analysis supports exactly the opposite by showing that the experimental rate of our CV protocol (achieved with practical room-temperature devices) remains one order of magnitude higher than their purely-numerical and over-optimistic extrapolation for qubits, based on nearly-ideal parameters and cryogenic detectors (unsuitable solutions for a realistic metropolitan network, which is expected to run on cheap room-temperature devices, potentially even mobile). The experimental rate of our protocol (expressed as bits per relay use) is confirmed to be two-three orders of magnitude higher than the rate of any realistic simulation of practical DV-MDI-QKD over short-medium distances. Of course this does not mean that DV-MDI-QKD networks should not be investigated or built, but increasing their rate is a non-trivial practical problem clearly beyond the analysis of Xu et al. Finally, in order to clarify the facts, we also refute a series of incorrect arguments against CV-MDI-QKD and, more generally, CV-QKD, which were made by Xu et al. with the goal of supporting their thesis.
Analysis and Comparison between War Driving and War Walk-ing in Metropolitan WiFi Radio Maps
Chu, Hao-hua
Analysis and Comparison between War Driving and War Walk- ing in Metropolitan WiFi Radio Maps Arvin, Hsinchu County, 310, Taiwan arvin@itri.org.tw ABSTRACT War-driving is currently the most widely adopted cost for war driv- ing is smaller than that of war walking, its positional accu- racy is also lower
Interpreting Accident Statistics
Ferreira, Joseph Jr.
Accident statistics have often been used to support the argument that an abnormally small proportion of drivers account for a large proportion of the accidents. This paper compares statistics developed from six-year data ...
Statistical Language Modelling
Gotoh, Yoshihiko; Renals, Steve
2003-01-01T23:59:59.000Z
the underlying models from large amounts of data. Importantly, such statistical approaches often produce useful results. Statistical approaches seem especially well-suited to spoken language which is often spontaneous or conversational and not readily amenable...
Statistics 36-756: Advanced Statistics II Syllabus: Fall, 2006
Fienberg, Stephen E.
, Journal of the American Statistical Association, Journal of the Royal Statistical Society, StatisticalStatistics 36-756: Advanced Statistics II Syllabus: Fall, 2006 Instructor: Stephen E. Fienberg 132G: · To consider major topics from statistical theory and the foundations of inference not covered in Statistics 36
Physics 630 Statistical Physics
Kioussis, Nicholas
strongly the issue of problem solving and understanding of the main concepts in Statistical PhysicsPhysics 630 Statistical Physics Spring 2005 Logistics Lecture Room: 1100 (Science I, 1st floor (Supplement) Introduction to Modern Statistical Mechanics, by David Chandler, Oxford Objectives This course
STATISTICAL COMPUTING AND GRAPHICS
Masci, Frank
Marron for a helpful comment. @ 1997 American Statistical Association bin width should be chosen soSTATISTICAL COMPUTING AND GRAPHICS Data-Based Choice of Histogram Bin Width The most important of the "optimal" bin width. Default bin widths in most common statistical packages are, at least for large samples
MATHMATICS & APPLIED STATISTICS
Frey, Jesse C.
MATHMATICS & APPLIED STATISTICS Graduate Studies in Build Your Future with Graduate Study in Mathematics or Applied Statistics Our graduate programs can help you advance your career in education will deepen your knowledge and prepare you for further study. The Master of Science in Applied Statistics
Statistical Convergence and Convergence in Statistics
Mark Burgin; Oktay Duman
2006-12-07T23:59:59.000Z
Statistical convergence was introduced in connection with problems of series summation. The main idea of the statistical convergence of a sequence l is that the majority of elements from l converge and we do not care what is going on with other elements. We show (Section 2) that being mathematically formalized the concept of statistical convergence is directly connected to convergence of such statistical characteristics as the mean and standard deviation. At the same time, it known that sequences that come from real life sources, such as measurement and computation, do not allow, in a general case, to test whether they converge or statistically converge in the strict mathematical sense. To overcome limitations induced by vagueness and uncertainty of real life data, neoclassical analysis has been developed. It extends the scope and results of the classical mathematical analysis by applying fuzzy logic to conventional mathematical objects, such as functions, sequences, and series. The goal of this work is the further development of neoclassical analysis. This allows us to reflect and model vagueness and uncertainty of our knowledge, which results from imprecision of measurement and inaccuracy of computation. In the context on the theory of fuzzy limits, we develop the structure of statistical fuzzy convergence and study its properties.
Martin, Clay Whitney
1986-01-01T23:59:59.000Z
THE VALUE TREES CONTRIBUTE TO RESIDENTIAL PROPERTY IN THE AUSTIN METROPOLITAN AREA: A FACTOR IN ASSESSING THE IMPACT OF OAK WILT A Thesis by CLAY WHITNEY MARTIN Submitted to the Graduate College of Texas A&M University in partial fulfillment... of the requirements for the degree of MASTER OF SCIENCE December 1986 Major Subject: Forestry THE VALUE TREES CONTRIBUTE TO RESIDENTIAL PROPERTY IN THE AUSTIN METROPOLITAN AREA: A FACTOR IN ASSESSING THE IMPACT OF OAK WILT A Thesis by CLAY WHITNEY MARTIN...
Statistics and the Modern Student
Robert Gould
2011-01-01T23:59:59.000Z
Technology Innovations in Statistics Education, 3(1). Wild,the "wider view" of statistics, The American Statistician,a History of Teaching Statistics, Edinburgh: John Bibby (
Key China Energy Statistics 2012
Levine, Mark
2013-01-01T23:59:59.000Z
Nations Commodity Trade Statistics Database. New York:National Bureau of Statistics of the People's Republic ofYearbook. Beijing: China Statistics Press. 2. Transformation
Statistics and the Modern Student
Gould, Robert
2010-01-01T23:59:59.000Z
Technology Innovations in Statistics Education, 3(1). Wild,the "wider view" of statistics, The American Statistician,a History of Teaching Statistics, Edinburgh: John Bibby (
Key China Energy Statistics 2011
Levine, Mark
2013-01-01T23:59:59.000Z
Source: National Bureau of Statistics (NBS), China EnergyNations Commodity Trade Statistics Database. New York:National Bureau of Statistics of the People's Republic of
BS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics
Dahl, David B.
BS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics the following: Stat 121 Principles of Statistics Stat 151 Introduction to Bayesian Statistics Stat 201 Statistics for Engineers & Scientists Stat 301 Statistics & Probability for Sec Ed Note: Students who have
Statistics 221 Statistical Computing Methods Instructor: Mark Irwin
Irwin, Mark E.
Linear algebra, Statistics 111, and knowledge of a computer programming language. Statistics 220 (1988). Elements of Statistical Computing: Numerical Computation. CRC Press. Splus / R: Venables WNStatistics 221 Â Statistical Computing Methods Instructor: Mark Irwin Office: Science Center 235
Springer Series in Statistics Springer Series in Statistics
Cappé, Olivier
Springer Series in Statistics Springer Series in Statistics Inference in Hidden Markov Models 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
Practical Statistical Thinking Probability: The Language of Statistics
Practical Statistical Thinking Probability: The Language of Statistics Essentials of Statistics and Probability Dhruv Sharma May 22, 2007 Department of Statistics, NC State University dbsharma@ncsu.edu SAMSI Undergrad Workshop Dhruv Sharma Essentials of Statistics and Probability #12;Practical Statistical Thinking
1 Statistics Statistics plays an important role throughout society, providing
Vertes, Akos
1 Statistics STATISTICS Statistics plays an important role throughout society, providing data. They also explore how those skills can be applied to develop new initiatives. Statistics is one. UNDERGRADUATE Bachelor's program · Bachelor of Science with a major in statistics (http:// bulletin.gwu.edu/arts-sciences/statistics
Edinburgh Research Explorer Statistical Constraints
Millar, Andrew J.
Edinburgh Research Explorer Statistical Constraints Citation for published version: Rossi, R that links statistics and constraint programming. We dis- cuss two novel statistical constraints and some, Prestwich, S & Tarim, SA 2014, 'Statistical Constraints' Paper presented at 21st biennial European
F. Benatti; M. Fannes
1998-11-26T23:59:59.000Z
We use multi-time correlation functions of quantum systems to construct random variables with statistical properties that reflect the degree of complexity of the underlying quantum dynamics.
Kevin Cahill
2006-12-24T23:59:59.000Z
The way a field transforms under rotations determines its statistics--as is easy to see for scalar, Dirac, and vector fields.
Stellar Evolution A Statistical Model
van Dyk, David
Stellar Evolution A Statistical Model Statistical Computation Analysis of the Hyades Cluster Statistical Analysis of Stellar Evolution David A. van Dyk1 Steven DeGennaro2 Nathan Stein2 William H Statistical Analysis of Stellar Evolution #12;Stellar Evolution A Statistical Model Statistical Computation
Kulik, Rafal
R for Statistics Rafal Kulik Department of Mathematics and Statistics University of Ottawa Statistical Society of Ottawa 23 September 2011 Rafal Kulik #12;R for Statistics SSO meeting Plan Rafal Kulik 1 #12;R for Statistics SSO meeting Plan What is R? Rafal Kulik 1 #12;R for Statistics SSO meeting
Weakly sufficient quantum statistics
Katarzyna Lubnauer; Andrzej ?uczak; Hanna Pods?dkowska
2009-11-23T23:59:59.000Z
Some aspects of weak sufficiency of quantum statistics are investigated. In particular, we give necessary and sufficient conditions for the existence of a weakly sufficient statistic for a given family of vector states, investigate the problem of its minimality, and find the relation between weak sufficiency and other notions of sufficiency employed so far.
Statistical laws in linguistics
Altmann, Eduardo G
2015-01-01T23:59:59.000Z
Zipf's law is just one out of many universal laws proposed to describe statistical regularities in language. Here we review and critically discuss how these laws can be statistically interpreted, fitted, and tested (falsified). The modern availability of large databases of written text allows for tests with an unprecedent statistical accuracy and also a characterization of the fluctuations around the typical behavior. We find that fluctuations are usually much larger than expected based on simplifying statistical assumptions (e.g., independence and lack of correlations between observations).These simplifications appear also in usual statistical tests so that the large fluctuations can be erroneously interpreted as a falsification of the law. Instead, here we argue that linguistic laws are only meaningful (falsifiable) if accompanied by a model for which the fluctuations can be computed (e.g., a generative model of the text). The large fluctuations we report show that the constraints imposed by linguistic laws...
Applied Math & Statistics: Statistics Minor Curriculum Chart: 2013-2014
Stuart, Josh
Applied Math & Statistics: Statistics Minor Curriculum Chart: 2013-2014 http PSYC 181 CMPE 108 SOCY 103A CMPS 142 TIM 230 Information on the Statistics Minor The statistics minor as preparation for a graduate degree in statistics or biostatistics. Course Information With permission from
Statistics: Part 1 1. Why bother with statistics?
Francis, Paul
Statistics: Part 1 1. Why bother with statistics? Why is statistics so necessary for observational. But your data just don't seem to back up their claim. Statistics allows you to determine how confidently) practical introduction to those bits of statistics most vital to observational astronomy. 2. What
Statistics 36-756: Advanced Statistics II Syllabus: Fall, 2006
Fienberg, Stephen E.
Statistics 36-756: Advanced Statistics II Syllabus: Fall, 2006 Instructor: Stephen E. Fienberg 132G: · To consider major topics from statistical theory and the foundations of inference not covered in Statistics 36-756: Advanced Statistics I, such as exchangeability, the axiomatic foundation of subjective probability
Statistics of football dynamics
Mendes, R S; Anteneodo, C
2007-01-01T23:59:59.000Z
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.
The influence of coyotes on an urban Canada goose population in the Chicago metropolitan area
Brown, Justin L.; /Ohio State U.
2007-01-01T23:59:59.000Z
Canada geese (Branta canadensis) have become common in many urban areas, often creating nuisance problems for human residents. The presence of urban geese has raised concerns about the spread of disease, increased erosion, excessive noise, eutrophication of waterways, and general nuisance problems. Goose populations have grown due to an increase in urbanization resulting in an abundance of high quality food (urban grass) and suitable nesting sites, as well as a decrease in some predators. I monitored nest predation in the Chicago suburbs during the 2004 and 2005 nesting seasons using 3 nest monitoring techniques to identify predators: video cameras, plasticine eggs, and sign from nest using a classification tree analysis. Of 58 nests monitored in 2004 and 286 in 2005, only raccoons (Procyon lotor) and coyotes (Canis latrans) were identified as nest predators. Raccoons were responsible for 22-25% of depredated nests, but were rarely capable of depredating nests that were actively defended by a goose. Coyotes were responsible for 75-78% of all Canada goose nest depredation and were documented killing one adult goose and feeding on several others. The coyote is a top-level predator that had increased in many metropolitan areas in recent years. To determine if coyotes were actively hunting geese or eggs during the nesting season, I analyzed coyote habitat selection between nesting and pre-nesting or post-nesting seasons. Coyote home ranges (95% Minimum Convex Polygon) were calculated for 19 coyotes to examine third order habitat selection related to goose nest abundance. A 100 m buffer (buffer habitat) was created and centered on each waterway edge and contained 90% of all nests. Coyotes showed selection for habitats during all seasons. Buffer habitat was the top ranked habitat in both pre-nesting and nesting seasons, but dropped to third ranked in post-nesting season. Habitat selection across seasons was compared using a repeated measures MANOVA. Habitat selection between pre-nesting and nesting seasons (P=0.72) were similar, while between post-nesting and nesting seasons there was a nearly significant difference (P=0.07). The insignificant change in habitat use across seasons suggests that coyotes did not switch habitat use to take advantage of goose nests. Alternatively, the change in ranking of buffer habitat across seasons suggests that coyotes may have switched habitat use to take advantage of goose nests. The results are not clear as large individual variation between coyotes due to differences in habitat availability, and social status interfere with the results of the analysis. Even though I failed to find strong support for coyotes actively hunting goose nests, they nevertheless were the primary nest predator in the area and may influence Canada goose populations. To determine the potential influence of coyotes on the Canada goose population, I created a Canada goose matrix population model that included variables such as coyote predation on adults and nests as well as coyote influence on nest desertion. Using the base population model I calculated the Canada goose population to be increasing with {lambda} = 1.055. The removal of all coyote influence on the goose population would allow {lambda} to increase to 1.214. Nest predation was the most important factor related to coyotes: the removal of coyote nest predation from the model resulted in a population growth rate {lambda} = 1.157. Modeling results suggest coyotes are serving as a limiting factor for the Canada goose population within the Chicago metropolitan area.
Stellar Evolution A Statistical Model
van Dyk, David
Stellar Evolution A Statistical Model Statistical Computation Analysis of the Hyades Cluster Embedding Computer Models for Stellar Evolution into a Coherent Statistical Analysis David A. van Dyk1 Analysis of Stellar Evolution #12;Stellar Evolution A Statistical Model Statistical Computation Analysis
FISHERY STATISTICS E UNITED STATES
SH 11 .A443X FISH FISHERY STATISTICS E UNITED STATES ^ 1951 &ch 3. \\§^ ^/'· m:^ STATISTICAL DIGEST. Farley, Director Statistical Digest 30 FISHERY STATISTICS OF THE UNITED STATES 1951 BY A. W. ANDERSON;Fishery Statistics of the United States and Alaska are compiled and published annually to make available
ARNAB MAITY Department of Statistics
Maity, Arnab
May, 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.S., Statistics, Department of Statistics, Texas A&M University Co-advisors: Dr. Raymond J. Carroll and Dr. Bani
Dave
2012-03-25T23:59:59.000Z
Statistics in Excel. 1. Type the measurement data into consecutive cells in Excel. NOTE: they do not need to be in one column, but the cells should be adjacent.
Massimo Testa
2015-07-30T23:59:59.000Z
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.
Quantum Chaos and Statistical Mechanics
Mark Srednicki
1994-06-14T23:59:59.000Z
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.
Computer, Computational, and Statistical Sciences
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
CCS Computer, Computational, and Statistical Sciences Computational physics, computer science, applied mathematics, statistics and the integration of large data streams are central...
Statistics and samples 1.1 What is statistics?
Irwin, Darren
1 1 Statistics and samples 1.1 What is statistics? Biologists study the properties of living things to get sam- pled and who did not. Statistics is a technology that describes and measures aspects of nature from samples. Most importantly, statistics lets us quantify the uncertainty of these meas- ures
Statistics and Differential Geometry 18-466 Mathematical Statistics
Le Ny, Jerome
Statistics and Differential Geometry 18-466 Mathematical Statistics Jerome Le Ny December 14, 2005 of statistical curvature [Efr75], that most of the main concepts and methods of differ- ential geometry are of substantial interest in connection with the theory of statistical inference. This report describes in simple
55 Years of Harvard Statistics: Stories, Snapshots, and Statistics
Wolfe, Patrick J.
55 Years of Harvard Statistics: Stories, Snapshots, and Statistics Xiao-Li Meng Late evening instead to the Bell Telephone Laboratories.'' Having one's statistical research rooted in and moti- vated by real-life applications became a hallmark of Harvard Statistics' outlook (or ``departmentality'') from
Chemical evolution of volatile organic compounds in the outflow of the Mexico City Metropolitan area
Apel, Eric; Emmons, L.; Karl, Thomas G.; Flocke, Frank M.; Hills, A. J.; Madronich, Sasha; Lee-Taylor, J.; Fried, Alan; Weibring, P.; Walega, J.; Richter, Dirk; Tie, X.; Mauldin, L.; Campos, Teresa; Weinheimer, Andrew J.; Knapp, David; Sive, B.; Kleinman, Lawrence I.; Springston, S.; Zaveri, Rahul A.; Ortega, John V.; Voss, Paul B.; Blake, D. R.; Baker, Angela K.; Warneke, Carsten; Welsh-Bon, Daniel; de Gouw, Joost A.; Zheng, J.; Zhang, Renyi; Rudolph, Jochen; Junkermann, W.; Riemer, D.
2010-01-01T23:59:59.000Z
The volatile organic compound (VOC) distribution in the Mexico City Metropolitan Area (MCMA) and its evolution as it is uplifted and transported out of the MCMA basin was studied during the 2006 MILAGRO/MIRAGE-Mex field campaign. The results show that in the morning hours in the city center, the VOC distribution is dominated by non-methane hydrocarbons (NMHCs) but with a substantial contribution from oxygenated volatile organic compounds (OVOCs), predominantly from primary emissions. Alkanes account for a large part of the NMHC distribution in terms of mixing ratios. In terms of reactivity, NMHCs also dominate overall, especially in the morning hours. However, in the afternoon, as the boundary layer lifts and air is mixed and aged within the basin, the distribution changes as secondary products are formed. The WRF-Chem (Weather Research and Forecasting with Chemistry) model and MOZART (Model for Ozone and Related chemical Tracers) were able to reproduce the general features of the daytime cycle of the VOC OH reactivity distribution showing that NMHCs dominate the distribution except in the afternoon hours and that the VOC OH reactivity peaks in the early morning due to high morning emissions from the city into a shallow boundary layer. The WRF-Chem and MOZART models showed higher reactivity than the experimental data during the nighttime cycle, perhaps indicating problems with the modeled nighttime boundary layer height. In addition, a plume was studied in which air was advected out of the MCMA and intercepted downwind with the DOE G1 on March 18 and the NCAR C130 one day later on March 19. A number of identical species measured aboard each aircraft gave insight into the chemical evolution of the plume as it aged and was transported as far as 1000 km downwind. Ozone and many OVOCs were photochemically produced in the plume. The WRF-Chem and MOZART models were used to examine the spatial and temporal extent of the March 19 plume and to help interpret the OH reactivity in the downwind plume. The model results generally showed good agreement with experimental results for the total VOC OH reactivity downwind and gave insight into the distributions of VOC chemical classes downwind. A box model with detailed gas phase chemistry (NCAR Master Mechanism), initialized with concentrations observed at one of the ground sites in the MCMA, was used to examine the expected evolution of specific VOCs over a 1-2 day period. The models clearly supported the experimental evidence for NMHC oxidation leading to the formation of OVOCs downwind, which then become the primary fuel for ozone production far away from the MCMA.
Experimental Mathematics and Computational Statistics
Bailey, David H.; Borwein, Jonathan M.
2009-04-30T23:59:59.000Z
The field of statistics has long been noted for techniques to detect patterns and regularities in numerical data. In this article we explore connections between statistics and the emerging field of 'experimental mathematics'. These includes both applications of experimental mathematics in statistics, as well as statistical methods applied to computational mathematics.
STATISTICS ESSENTIAL SKILL OUTCOME STATEMENTS
Gering, Jon C.
to statistical literacy. The American Statistical Association endorsed the Guidelines for AssessmentSB #3205 STATISTICS ESSENTIAL SKILL OUTCOME STATEMENTS Newly-Revised Version: A liberally educated person is capable of being both a producer and a consumer of statistical information with some basic
Thermodynamics for Fractal Statistics
Wellington da Cruz
1998-12-15T23:59:59.000Z
We consider for an anyon gas its termodynamics properties taking into account the fractal statistics obtained by us recently. This approach describes the anyonic excitations in terms of equivalence classes labeled by fractal parameter or Hausdorff dimension $h$. An exact equation of state is obtained in the high-temperature and low-temperature limits, for gases with a constant density of states.
Chen, Zehua
, researchers, and professionals in the mathematical, statistical and computational sciences, fundamental of textbooks, reference works, and handbooks. The titles included in the series are meant to appeal to students Editors N. F. Britton Department of Mathematical Sciences University of Bath Xihong Lin Department
Salmun, Haydee
, heavy rain, flooding, ice storms, blizzards, heavy snow, and extreme wind chills. These storm systemsEast Coast Cool-Weather Storms in the New York Metropolitan Region H. SALMUN Hunter College to identify East Coast cool-weather storms (ECCSs) and to describe their climatological characteristics
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Echevarria, Desarae; Gutfraind, Alexander; Boodram, Basmattee; Major, Marian; Del Valle, Sara; Cotler, Scott J.; Dahari, Harel
2015-08-21T23:59:59.000Z
New direct-acting antivirals (DAAs) provide an opportunity to combat hepatitis C virus (HCV) infection in persons who inject drugs (PWID). Here we use a mathematical model to predict the impact of a DAA-treatment scale-up on HCV prevalence among PWID and the estimated cost in metropolitan Chicago.
Hall, Sharon J.
Effects of urban land cover modifications in a mesoscale meteorological model on surface between the two simulations. Mesoscale atmospheric models such as the Pennsylvania State University for the Phoenix metropolitan area was implemented in the fifth- generation PSU/NCAR mesoscale meteorological model
Merguerian, Charles
Sanders, J. E.; and Merguerian, Charles, 1992a, Directional history of Pleistocene glaciers inferred from features eroded on bedrock, New York metropolitan area, SE NY. If a glacier erodes bedrock, the usual perception is that the youngest glacier will obliterate all direction-of-flow evidence that any
BS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics
Seamons, Kent E.
the statistics list: C S 142 Introduction to Computer Programming Math 334 Ordinary Differential Equations Math Academic Internship: Statistics Stat 497R Introduction to Statistical Research Stat 535 Applied Linear are strongly recommended to choose electives to prepare for the BYU BS/MS statistics integrated program
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
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article) | SciTechDatastreamsmplDatastreamsxsacrspeccmaskxpol7, 2013 [Facility News, FeaturePlainsGuestField Campaign Statistics
Statistical simulation procedures
Tremelling, Robert Norman
1970-01-01T23:59:59.000Z
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...
Experimental Statistics NBS Handbook 91: Experimental Statistics [1] was
as a series of five Army Ordnance Pamphlets OSRDDP 20-110-114. The publication was prepared in the Statistical
Bayesian Statistics Stochastic Simulation -Gibbs sampling
Wright, Francis
Bayesian Statistics Stochastic Simulation - Gibbs sampling Bayesian Statistics - an Introduction Dr Pettit Bayesian Statistics - an Introduction #12;Bayesian Statistics Stochastic Simulation - Gibbs sampling What is Bayesian Statistics? Bayes Theorem The Likelihood Principle Mixtures of conjugate priors
C. Shane Reese Department of Statistics
Reese, Shane
, American Statistical Association 2012 Melvin W. Carter Professorship 2010 Karl G. Maeser Excellence.) 2010 American Statistical Association Excellence in Statistics in Sports Award 2008 Howard Christensen Department of Statistics Honored Faculty Member 2001 Journal of the American Statistical Association
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium ANDREA MONTANARI Departments of Electrical Engineering and Statistics Stanford University Sharp Thresholds in Statistical an important role in some sta- tistical learning and statistical signal processing problems, in part because
Johnson, Paul E [ORNL] [ORNL
2007-01-01T23:59:59.000Z
An article of similar title was published in the International Journal of Radioactive Materials Transport in 1999. The study concluded that the daytime and nighttime populations are not substantially different for the metropolitan areas examined. This study revisits the issue, but using the LandScan USA high resolution population distribution data, which includes daytime and night-time population. Segments of Interstate highway beltways, along with the direct route through the city, for Atlanta, St. Louis, and Kansas City are examined with an 800m buffer from either side of the highways. The day/night ratio of population is higher using the LandScan USA data. LandScan USA daytime and night-time data will be incorporated into the TRAGIS routing model in future.
STAT 639V: Topics in Statistics Statistical Computing
Petris, Giovanni
methods. Most of the topics will be presented in the context of the R statistical computing language (see below). Computing: The computer language we will be using is R. The latest version of R is installedSTAT 639V: Topics in Statistics Fall 2014 Statistical Computing General Information: Class hours
STATISTICAL MECHANICS AND FIELD THEORY
Samuel, S.A.
2010-01-01T23:59:59.000Z
York. K. Bardakci, Field Theory for Solitons, II, BerkeleyFart I Applications of Field Theory Methods to StatisticalStatistical Mechanics to Field Theory Chapter IV The Grand
INDIAN STATISTICAL INSTITUTE Annual Report
Bandyopadhyay, Antar
Division 8 Stat-Math Unit (SMU), Kolkata 8 Stat-Math Unit (SMU), Delhi 11 Stat-Math Unit (SMU), Bangalore Stat-Math Unit (SMU), Chennai 14 16 Applied Statistics Division 17 Applied Statistics Unit (ASU
Statistical Performance Modeling of SRAMs
Zhao, Chang
2011-02-22T23:59:59.000Z
to their characteristic of low failure rate, while statistical method of yield sensitivity analysis is meaningful for its high efficiency. This thesis proposes a novel statistical model to conduct yield sensitivity prediction on SRAM cells at the simulation level, which...
PROGRAMME SPECIFICATION Programme title: Statistics
Guillas, Serge
in statistical theory and applications which enables graduates to enter specialist employment or academic in statistical computing and communication are assessed by coursework only. The summer project is assessedPROGRAMME SPECIFICATION Programme title: Statistics Final award (BSc, MA etc): (where stopping off
Business Statistics 207 Summer, 2013
Barrash, Warren
Business Statistics 207 Summer, 2013 Instructor: Phil Fry Office: MBEB 3249 e-mail: pfry) & by Appointment Textbook: Business Statistics: A Decision-Making Approach, 8th ed. by Groebner, Shannon, Fry: This is the first semester of a two semester course in business statistics. The objective of BUSSTAT 207
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:Department of Energy System SafetyFALL6-OPAMConference Call Minutes65 FY 2007Statistical 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:Department of Energy System SafetyFALL6-OPAMConference Call Minutes658Statistical Table by
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:Department of Energy System SafetyFALL6-OPAMConference CallStatistical Table by Appropriation
International petroleum statistics report
NONE
1995-10-01T23:59:59.000Z
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.
Fertilizer Statistics for Texas.
Fraps, G. S. (George Stronach)
1927-01-01T23:59:59.000Z
) H. B. PARKS, B. S.. Apiculturist in Charge A. H. ALEX, B. S.. Queen Breeder FEED CONTROL SERVICE: F. D. FULLER, M. S.. Chief S. D. PEARCE, Secretary J. 13. ROGERS, Feed Inspector W. H. WOOD. Feed Inspector K. L KIRKLAND B S Feed Inspector W... and for selected counties. Estimated prices of plant food are given. The sales of fer- tilizer in the spring are partly related to the price of cotton in the preceding fall and winter. This is shown by statistical methods. CONTENTS ,. A . . . . ,., l...
International petroleum statistics report
NONE
1997-05-01T23:59:59.000Z
The International Petroleum Statistics Report is a monthly publication that provides current international oil data. This report is published for the use of Members of Congress, Federal agencies, State agencies, industry, and the general public. Publication of this report is in keeping with responsibilities given the Energy Information Administration in Public Law 95-91. The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1985 through 1995.
BS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics
Seamons, Kent E.
the statistics list: C S 142 Introduction to Computer Programming Math 334 Ordinary Differential Equations Math Applied Time Series and Forecasting Stat 474 Theory of Interest Stat 496R Academic Internship: Statistics Stat 497R Introduction to Statistical Research Stat 535 Applied Linear Models Stat 536 Modern
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Mohsen Pourahmadi Division of Statistics, Northern Illinois University and the Department of Statistics, The University of Chicago "Generalized
Statistics Online Computational Resource for Education
Dinov, Ivo D; Christou, Nicolas
2009-01-01T23:59:59.000Z
and assess- ment of the statistic online computationalintroductory probability and statistics courses. Computers &Leslie, M. (2003). Statistics starter kit. Science, © 2009
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium Series JONATHAN WEARE sampling methods. The talk will have a computational statistical mechanics flavor but the methods
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series JON MCAULIFFE Department of Statistics University of California, Berkeley "Statistical Methods for Genome Comparison" WEDNESDAY February
Fractons and Fractal Statistics
Wellington da Cruz
2000-07-31T23:59:59.000Z
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,\
Application for SAS Certificate Advanced Statistics
Dahl, David B.
Application for SAS Certificate Advanced Statistics ___________________________________________________________________________________ Student Signature _________________________________________ Date I am a Statistics Major at Brigham Young of Statistics to access my academic information. Brigham Young University Department of Statistics offers
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...
FROM STATISTICAL SIGNIFICANCE TO EFFECT ESTIMATION
Burgman, Mark
such as the American Psychological Association, and the absence of appropriate editorial pressure, statistical reformFROM STATISTICAL SIGNIFICANCE TO EFFECT ESTIMATION: STATISTICAL REFORM IN PSYCHOLOGY, MEDICINE ABSTRACT Compelling criticisms of statistical significance testing (or Null Hypothesis Significance Testing
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics SUMMER Seminar Series ANDREW GELMAN Departments of Statistics and Political Science Columbia University Parameterization and Bayesian Modeling THURSDAY and location. ABSTRACT Progress in statistical computation often leads to advances in statistical modeling
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series PETER HALL Department of Mathematics and Statistics University of Melbourne, Australia Contemporary Frontiers in Statistics THURSDAY and future directions of frontier problems in statistics For further information and about building access
Department: Statistics Course No: STAT 261Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 261Q Title: Statistical Computing Credits: 3 Contact : Dipak. Recommended preparation: An applied statistics course. Open only with consent of instructor. Introduction to computing for statistical problems; obtaining features of distributions, fitting models and implementing
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium Series MONTSERRAT FUENTES Department of Statistics North Carolina State University Nonparametric Spatial Models for Extremes events at different locations. Although the tools for statistical modeling of univariate extremes
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series TONG ZHANG Department of Statistics Rutgers University High Dimensional Statistical Analysis for Complex Sparse Estimation Problems the seminar in Eckhart 110. ABSTRACT This talk presents theoretical results for high dimensional statistical
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics 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
APS Operational Statistics for FY 2005
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
asdopslogo1.gif (2896 bytes) APS FY2005 Operational Statistics Back to Main Statistics Page FY 2005 Year-to-Date Statistics 2005 Statistics Summary HTML or PDF FY 2005...
Statistics as a dynamical attractor
Michail Zak
2012-08-30T23:59:59.000Z
It is demonstrated that any statistics can be represented by an attractor of the solution to a corresponding systen of ODE coupled with its Liouville equation. Such a non-Newtonian representation allows one to reduce foundations of statistics to better established foundations of ODE. In addition to that, evolution to the attractor reveals possible micro-mechanisms driving random events to the final distribution of the corresponding statistical law. Special attention is concentrated upon the power law and its dynamical interpretation: it is demonstrated that the underlying dynamics supports a " violent reputation" of the power law statistics.
Statistical mechanics of the cytoskeleton
Wang, Shenshen
2012-01-01T23:59:59.000Z
mechanics . . . . . . . . . . . . . . . . . . . . . . 2.1bottom-up approach to cell mechanics. Nat. Phys. [6] Fabry,Wolynes, P. G. Statistical mechanics of a cat’s cradle. New
Stine, Robert A.
Requirements for Statistics Concentration 6/9/11 The Statistics concentration or major are required, with at least 3 credit units from Statistics. STAT 621 may contribute in Statistics The following courses offered by the Department of Statistics are eligible
International petroleum statistics report
NONE
1995-07-27T23:59:59.000Z
The International Petroleum Statistics Report presents data on international oil production, demand, imports, and exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1994; OECD stocks from 1973 through 1994; and OECD trade from 1984 through 1994.
International petroleum statistics report
NONE
1997-07-01T23:59:59.000Z
The International Petroleum Statistics Report is a monthly publication that provides current international data. The report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent 12 months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1996; OECD stocks from 1973 through 1996; and OECD trade from 1986 through 1996.
International petroleum statistics report
NONE
1995-11-01T23:59:59.000Z
The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1994; OECD stocks from 1973 through 1994; and OECD trade from 1984 through 1994.
International petroleum statistics report
NONE
1996-05-01T23:59:59.000Z
The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1084 through 1994.
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Hira L. Koul Department of Statistics). Statistical methods for data with long-range dependence. (With discussion). Statist. Sci. 7, 404-427. Beran, J. (1994). Statistics for Long-Memory Processes. Monographs on Statistics and Applied Probab., 61. Chapman
Models for Millions Department of Statistics
Stine, Robert A.
Models for Millions Bob Stine Department of Statistics The Wharton School, UniversityDepartment of Statistics Introduction #12;WhartonDepartment of Statistics WhartonDepartment of Statistics Statistics in the News Hot topics Big Data Business Analytics Data Science Are the authors talking about statistics
Changing Places: How Communities Will Improve the Health of Boys of Color
Edley, Christopher; Ruiz de Velasco, Jorge
2010-01-01T23:59:59.000Z
at seventieth national percentile or higher). 2. MSA Readinga statistically significant 7.2 percentile points, slightlyc Overweight (>85th, percentile) 3 Obese (>95th
MSA Apparatus Construction for Chemical Equipment Ltd | Open Energy
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 DeliciousPlasmaP a gHigh Plains Wind Farm JumpKahului,Coos BayTHE COSO GETHERMAL FIELD, CALIFORNIA |
Yan named MSA Post-Doctoral Researcher Award recipient | EMSL
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Award recipient Released: May 12, 2015 He is being recognized for his paper on lithium-ion battery research Pengfei Yan Congratulations to Pengfei Yan, an EMSL postdoctoral...
Award Fee Determination Scorecard Contractor: Mission Support Alliance, LLC (MSA)
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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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41cloth Documentation DataDepartment of EnergyOn-Farm1 of 6 High-Level Bases andAugust,EnergyInstruments on SiteW W W W
- Mission Support Alliance (MSA) is rolling out new energy efficient
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location, increase desktop space and automatically update software. It is really a win-win for the environment and for Hanford computer users." The term "thin client" refers...
Motivation and Goals Sea Salt and MSA-Derived Sulfate
in the USA and Europe SO2 emissions from China appear to have peaked during 2006/2007 and have since observations of aerosols over portions of India, China, and downwind ocean regions exhibit increasing trends PC Version (http://ready.arl.noaa.gov/HYSPLIT.php). NOAA Air Resources Laboratory, Silver Spring, MD
Microsoft Word - 2013-2014 Final MSA Report.docx
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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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default SignEnergy Michigan: GeneralKennethReportNotice - June 20111113-2014
Joint DOE-MSA News Release Media Contacts:
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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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default Sign In AboutIs gravityJeffersonFriday
Microsoft Word - MSA - Theory of Change Logic Model (1).docx
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Assessment practices for student learning * Brain-based learning * Student engagement and classroom management * Math and science writing * Common Core Math Standards * Next...
Microsoft Word - MSA - Theory of Change Logic Model (1).docx
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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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default SignEnergy Michigan:RECORDSeptember 17, 2009 In reply Market1 13,
Microsoft Word - NNM MSA Partners and Collaborators.docx
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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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default SignEnergy Michigan:RECORDSeptember 17,Imaging Techniques
Microsoft Word - 2013-2014 Final MSA Report.docx
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up with? (19 correct, 6 incorrect.) You are making some homemade taffy and the recipe calls for 1 cups of butter. How many sticks of butter (1 stick cup) will you...
STATISTICAL FILTERING* John B. Moore~
Moore, John Barratt
noise signals. Theoretical developments in statistical filtering have been made side by side linkages will be made between these two major in filtering. in the developments In the classical approaches and the unwanted signals (noise) lie in another with possibly some overlap. In the statistical approach, the best
December 2000 A STATISTICAL TEST
December 2000 A STATISTICAL TEST SUITE FOR RANDOM AND PSEUDORANDOM NUMBER GENERATORS challenges in authentication protocols. NIST Special Publication (SP) 800-22, A Statistical Test Suite testing of random number and pseudorandom number generators (RNGs and PRNGs) that may be used for many
Statistics in Linguistics Tutorial Just a sip. . .
Fong, Sandiway
Statistics in Linguistics Tutorial Just a sip. . . Mike Hammond Linguistics, U. of Arizona Statistics/Hammond p.1/9 #12;Overview Statistics/Hammond p.2/9 #12;Overview Are our data categorical? Statistics/Hammond p.2/9 #12;Overview¡ Are our data categorical? ¡ Typological claims Statistics
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1963 STATISTICAL DIGEST NO. 57 UNITED STATES DEPARTMENT of Commercial Fisheries, Donald L. McKernan, Director STATISTICAL DIGEST 57 FISHERY STATISTICS OF THE UNITEDTernment Printing Office, Washington, D.C., 20402 - Price $2.25 (paper c #12;Fishery statistics of the United States
FISHERY STATISTICS OF THE UNITED STATES
pa%Mv--. FISHERY STATISTICS OF THE UNITED STATES 1965 STATISTICAL DIGEST NO. 59 UNITED STATES, Commissioner Bureau of Commercial Fisheries, H. E. Crowther, Director STATISTICAL DIGEST 59 FISHERY STATISTICS.S. Government Printing Office Washington, D.C. 20402 - Price $4 (Paper Cover) #12;Fishery statistics
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 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
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series SAMUEL KOU Department of Statistics Harvard University "Equi-energy Sampler: From Statistical Inference to Statistical Mechanics, for efficient statistical sampling and estimation. Complementary to the widely used temperature-domain methods
FISHERY STATISTICS OF THE UNITED STATES
SH 11 A443X FISH FISHERY STATISTICS OF THE UNITED STATES 1943 STATISTICAL DIGEST NO. 14 Sll \\M AND WILDLIFE SERVICE Albert M. Day, Director CAMEL M. COHEN Statistical Digest No. 14 FISHERY STATISTICS. - Price 75 cents #12;Fishery Statistics of the United States and Alaska are compiled and published
FISHERY STATISTICS )F THE UNITED STATES
SH 11 .A443X FISH FISHERY STATISTICS )F THE UNITED STATES ^M=^. STATISTICAL DIGEST NO. 36 #12. Farley, Director i]EL M. COHEN Statistical Digest 36 FISHERY STATISTICS OF THE UNITED STATES 1953 BY A. W;Fishery Statistics of the I'nited States and Alaska are compiled and published an- nually to make
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1944 STATISTICAL DIGEST ISO. 16 Fish and Wildlife Sekvh Albert M. Day, Director Statistical Digest No. 16 FISHERY STATISTICS OF THE UNITED STATES 1944 BY A. W Statistics of the United States and Alaska are coiip i I ed and published annually to make available
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 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
UNIVERSITY OF OXFORD DEPARTMENT OF STATISTICS
Oxford, University of
UNIVERSITY OF OXFORD DEPARTMENT OF STATISTICS MSc AND DIPLOMA IN APPLIED STATISTICS 2014. Sources of advice and help 33 5. Departmental Facilities 35 #12;2 MSc/ DIPLOMA IN APPLIED STATISTICS 2014/2015 We welcome you to the Department of Statistics and our MSc programme in Applied Statistics
FISHERY STATISTICS QF THE UNITED STATES
I FISHERY STATISTICS QF THE UNITED STATES 1942 By A. W, ANDERSON and E. A. POWER STATISTICAL DIGEST Statistical Digest No. 11 FISHERY STATISTICS OF THE UNITED STATES 1942 BY A. W. ANDERSON and E. A. POWER. S. Government Printing Offic Washington 25, D. C. - Price 60 cents #12;Fishery Statistics
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1962 STATISTICAL DIGEST NO. 56 UNITED STATES DEPARTMENT Fisheries, Donald L. McKernan, Director STATISTICAL DIGEST 56 FISHERY STATISTICS OF THE UNITED STATES 1962.S. Government Printing Office, Washington, D.C., 20402 - Price $2.25 (paper cover) #12;Fishery statistics
FISHERY STATISTICS OF THE UNITED STATES
Div,, . FISHERY STATISTICS OF THE UNITED STATES 1961 STATISTICAL DIGEST NO. 54 UNITED STATES, Donald L. MeKernan, Director STATISTICAL DIGEST 54 FISHERY STATISTICS OF THE UNITED STATES 1961 BY E. A, Washington, D.C. 20402 - Price $2 (paper cover) #12;Fishery statistics of the United States are compiled
Dave
2012-03-25T23:59:59.000Z
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.
Quantum particles from classical statistics
C. Wetterich
2010-02-11T23:59:59.000Z
Quantum particles and classical particles are described in a common setting of classical statistical physics. The property of a particle being "classical" or "quantum" ceases to be a basic conceptual difference. The dynamics differs, however, between quantum and classical particles. We describe position, motion and correlations of a quantum particle in terms of observables in a classical statistical ensemble. On the other side, we also construct explicitly the quantum formalism with wave function and Hamiltonian for classical particles. For a suitable time evolution of the classical probabilities and a suitable choice of observables all features of a quantum particle in a potential can be derived from classical statistics, including interference and tunneling. Besides conceptual advances, the treatment of classical and quantum particles in a common formalism could lead to interesting cross-fertilization between classical statistics and quantum physics.
Forensic Statistics: Ready for consumption?
Gill, Richard D.
in de rechtszaal. Stator. http://www.kennislink.nl/web/show?id=111865 #12;Everyday statistics · Intensive two-way interaction between statistician and subject-matter expert (client) Cyclic process of re
STATISTICAL MECHANICS AND FIELD THEORY
Samuel, S.A.
2010-01-01T23:59:59.000Z
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
Statistical mechanics of gene competition
Venegas-Ortiz, Juan; Ortiz, Juan Venegas
2013-11-28T23:59:59.000Z
Statistical mechanics has been applied to a wide range of systems in physics, biology, medicine and even anthropology. This theory has been recently used to model the complex biochemical processes of gene expression and ...
Intermediate wave-function statistics
G. Berkolaiko; J. P. Keating; B. Winn
2003-08-05T23:59:59.000Z
We calculate statistical properties of the eigenfunctions of two quantum systems that exhibit intermediate spectral statistics: star graphs and Seba billiards. First, we show that these eigenfunctions are not quantum ergodic, and calculate the corresponding limit distribution. Second, we find that they can be strongly scarred by short periodic orbits, and construct sequences of states which have such a limit. Our results are illustrated by numerical computations.
Anyonic statistics with continuous variables
Jing Zhang; Changde Xie; Kunchi Peng; Peter van Loock
2008-10-30T23:59:59.000Z
We describe a continuous-variable scheme for simulating the Kitaev lattice model and for detecting statistics of abelian anyons. The corresponding quantum optical implementation is solely based upon Gaussian resource states and Gaussian operations, hence allowing for a highly efficient creation, manipulation, and detection of anyons. This approach extends our understanding of the control and application of anyons and it leads to the possibility for experimental proof-of-principle demonstrations of anyonic statistics using continuous-variable systems.
Faculty of Science Mathematics and Statistics
Faculty of Science Mathematics and Statistics Mathematicians and statisticians use powerful mathematical, statistical and computational tools to solve both important theoretical problems and practical can pursue programs in mathematics, statistics, actuarial science, math and computer science
STATISTICAL PHONE: 530.752.2361
Wang, Jane-Ling
. from 1995 to 1998, he developed further expertise in software develop- ment, statistical programming, analysis, programming, and interpretation. Since joining the Statistical Laboratory in 2005, he has R. Beran: multivariate regression, bootstrap meth- ods, statistics on manifolds, asymptotic theory P
APS Operational Statistics for FY 2009
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Back to Main Statistics Page FY 2009 Year-to-Date Statistics 2009 Statistics Summary HTML or PDF FY 2009 Reliability Summary HTML or PDF FY 2009 Bar Chart of Downtime by System...
APS Operational Statistics for FY 2008
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Back to Main Statistics Page FY 2008 Year-to-Date Statistics 2008 Statistics Summary HTML or PDF FY 2008 Reliability Summary HTML or PDF FY 2008 Bar Chart of Downtime by System...
APS Operational Statistics for FY 2014
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...
APS Operational Statistics for FY 2007
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Back to Main Statistics Page FY 2007 Year-to-Date Statistics 2007 Statistics Summary HTML or PDF FY 2007 Reliability Summary HTML or PDF FY 2007 Bar Chart of Downtime by System...
APS Operational Statistics for FY 2012
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Back to Main Statistics Page FY 2012 Year-to-Date Statistics 2012 Statistics Summary HTML or PDF FY 2012 Reliability Summary HTML or PDF FY 2012 Bar Chart of Downtime by System...
APS Operational Statistics for FY 2006
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...
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...
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...
American Statistical Association National Science Foundation
Bermúdez, José Luis
American Statistical Association National Science Foundation U.S. Census Bureau ASA American Statistical Association 732 North Washington Street Alexandria, VA 22314-1943 U.S. government and analysis, statistical methodology and computing, information and behavioral science, and geography
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Matthew Stephens Department of Statistics, University of Washington "Exploring Heterogeneity in Recombination Rates Across the Genome. In this talk I describe a statistical method that comes some way towards addressing these deficiencies
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series JUN LIU Department of Statistics with classification problems. I will also discuss the issue of statistical significance in this situation Please send
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Tiefeng JIANG School of Statistics). A history from 1914 to 2003 of the problem from Mechanics, Statistics and Imagine Analysis will also
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series JIANQING FAN Department of Statistics Princeton University "Nonparametric specification tests for diffusion models in financial null distributions of proposed test statistics and compute their power func- tions. The finite sample
Accuracy and reliability of China's energy statistics
Sinton, Jonathan E.
2001-01-01T23:59:59.000Z
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
Zhang, Li-Xin
Â§1.0 What is Statistics? Â§1.1 What is Mathematical Statistics? Random Data Basic Ideas in Statistics Â§1.2 Fundamental Con Mathematical Statistics Zhang, Lixin and Dai, Jialing Course Website: www.math.zju.edu.cn/zlx/teaching.htm #12;Â§1.0 What is Statistics? Â§1.1 What is Mathematical Statistics? Random Data Basic Ideas
ORISE: Statistical Analyses of Worker Health
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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...
Moore honored with American Statistical Association award
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American Statistical Association Award Moore honored with American Statistical Association award Lisa Moore is the recipient of the 2013 Don Owen Award presented by the American...
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Michael Woodroofe Department of Statistics, University of Michigan "Inference with a Restricted Parameter Space
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series ANDREW C. THOMAS Department of Statistics Harvard University Uncertainties in Network Analysis Due to the Thresholding Problem WEDNESDAY
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series ARNAUD DOUCET Departments of Computer Science and Statistics University of British Columbia The Expected Auxiliary Variable Method
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series DAG TJOSTHEIM Department of Statistics University of Bergen, Norway Gaussian Local Likelihood and Local Correlation MONDAY, April 28
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series YUN S. SONG Departments of Electrical Engineering and Computer Sciences, and Statistics University of California, Berkeley A Universal
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series YU MICHAEL ZHU Department of Statistics Purdue University "Fourier Methods for Estimating Dimension Reduction Subspaces in Regression
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Anirban Dasgupta Department of Statistics Purdue University "Inference Based on Total Variation Distance" Monday, November 10, 2003 at 4
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series HELENE MASSAM Department of Mathematics and Statistics York University, Toronto, Canada "Two New Families of Conjugate Priors
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series YUGUO CHEN Department of Statistics University of Illinois at Urbana-Champaign "Sampling for Conditional Inference on Multiway Tables
DEPARTMENT OF STATISTICS Hilary Term 2007 MSc and Diploma in Applied Statistics
Goldschmidt, Christina
DEPARTMENT OF STATISTICS Â Hilary Term 2007 MSc and Diploma in Applied Statistics DAY HOUR TITLE LECTURER PLACE MON 12-1 Time Series (wks 1-4) Dr Laws Statistics 12-1 MCMC and Applied Bayesian Statistics (wks 5-7) Professor Reinert Statistics 2-3 Statistical Data Mining (wks 1-8) Dr Nicholls Maths
STAT 639v: Topics in Statistics Statistical Computing
Petris, Giovanni
, or by appointment. Textbooks: Braun and Murdoch (2007), A First Course in Statistical Programming with R, Cambridge roughly every two or three weeks. Outline syllabus: After learning the R programming language, we, the bootstrap. Computing: The computer language we will be using is R. The latest version of R is installed
STATISTICS IN MEDICINE Statist. Med. 18, 32213234 (1999)
Gelman, Andrew
1999-01-01T23:59:59.000Z
States. Much of the variation in observed cancer death rates by county is attributable to statistical to have extremely high (or low) cancer rates when compared to typical counties in the United States. Thus to keep a speciÃ¿c example in mind. Consider the mapping of cancer mortality rates by county in the United
Statistical Mechanics of Black Holes
B. Harms; Y. Leblanc
1992-05-11T23:59:59.000Z
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.
Kambhampati, Patanjali
Department of Mathematics and Statistics ___________________________ The Department of Mathematics and Statistics invites applications for a tenure-track position in Statistics. The Department welcomes or complex data settings, including high dimensional regression, computational statistics and statistical
The University of Connecticut Department of Statistics
Blei, Ron
1 The University of Connecticut Department of Statistics Graduate Program Founded in 1963, the Department is one of the major statistics departments in the Northeast and has national and international and statistics, spanning virtually all modern areas of statistical applications. Graduate education has been
LIDIA REJTO Statistics Program, Department of FREC
RejtÃµ, LÃdia
LÂ´IDIA REJTO Statistics Program, Department of FREC CANR, University of Delaware 214 Townsend Hall package. Familiar with statistical softwares R, S-Plus, BMDP, SAS, MINITAB. PROFESSIONAL EXPERIENCES Permanent Position: Full Professor, Director of Statistical Laboratory, Statistics Program, Department
C. Shane Reese Department of Statistics
Reese, Shane
of Statistics Honored Faculty Member 2001 Journal of the American Statistical Association Applications and Case, SRCOS/ASA Research Conference A#liations American Statistical Association, Biometric Society (WNAR), IMSpresent Associate Editor, Journal of the American Statistical Association 20062008 Vicechair, ASA
DEPARTMENT OF STATISTICS ANNUAL REPORT 2006
Goodman, James R.
Waksberg Award from the American Statistical Association and the Statistical Society of Canada for his work Statistical Association, was held at Sky City in Auckland on July 3 to 6 with David Scott as ChairDEPARTMENT OF STATISTICS ANNUAL REPORT 2006 Highlights Last year I highlighted the fact that Ross
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series ROBERT GROSSMAN Department of Mathematics, Statistics and Computer Science University of Illinois at Chicago Building Statistical Models where the data is stored. Most software to compute statistical and data mining models assumes
Department: Statistics Course No: STAT 110Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 110Q Title: Elementary Concepts of Statistics Credits: 4 restrictions above. Standard and nonparametric approaches to statistical analysis; exploratory data analysis-sample procedures, regression and correlation. Learning to do statistical analysis on a personal computer
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series BIN YU Department of Statistics University of California, Berkeley "Embracing Statistical Challenges in the Information Technology Age in most if not all fields of science and engineering and beyond. Statistics as a scientific discipline
ROBUST ESTIMATION VIA GENERALIZED L-STATISTICS
Serfling, Robert
CHAPTER 1 ROBUST ESTIMATION VIA GENERALIZED L-STATISTICS: THEORY, APPLICATIONS, AND PERSPECTIVES ROBERT SERFLING University of Texas at Dallas Abstract: Generalized L-statistics, introduced in Ser ing (1984) and including classical U-statistics and L-statistics, are linear functions based on the ordered
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium 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
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium JACOB BIEN Department of Statistics Stanford University Sparse Hierarchical Interactions MONDAY, January 23, 2012, at 4:00 PM 133. This makes it easier to study as a statistical estimator. We argue that restricting to hierarchical
STATISTICS FOR GRADUATE STUDENTS ONLINE RESOURCES
Fletcher, Robin
1 STATISTICS FOR GRADUATE STUDENTS ONLINE RESOURCES Introduction to Data Analysis Exploring Data Pitfalls of Data Analysis (or How to Avoid Lies and Damned Lies) Statistics notes and related articles published in British Medical Journal Statistical literacy HyperStat Online Statistics Textbook Electronic
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Marianthi Markatou Department of Statistics, Columbia University "Statistical Model Assessment and Model Choice" Monday, April 22, 2002 at 4 of statistical models is to provide a concise description of the aspects of the data judged relevant
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics 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
Statistics and Philosophy Mathematical models and reality
Hennig, Christian
Statistics and Philosophy Mathematical models and reality Frequentist probabilities The Bayes-frequentist controversy Cluster analysis and truth Model Assumptions and Truth in Statistics Christian Hennig 4 February 2015 Christian Hennig Model Assumptions and Truth in Statistics #12;Statistics and Philosophy
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series GREGORY LAWLER Departments of Mathematics and Statistics University of Chicago Conformal Invariance and Two-Dimensional Statistical Physics the seminar in Eckhart 110. ABSTRACT A number of lattice models in two-dimensional statistical physics
FISHERY STATISTICS F THE UNITED STATES
FISHERY STATISTICS »F THE UNITED STATES ^ 1954 ,M^,. 'M' . ' J*"'',-,'i''' ' STATISTICAL DIGEST NO DEPARTMENT OF THE INTERIOR, Fred A. Seaton, Secretary FISH AND WILDLIFE SERVICE PANIELM. COHEN Statistical Digest 39 FISHERY STATISTICS OF THE UNITED STATES 1954 BY A. W. ANDERSON and E. A. POWER UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES I 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
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1945 STATISTICAL DIGEST NO, 18 United States Dejtartment. Krug, Secretary FISH AND WILDLIFE SERVICE Albert M. Day, Director Statistical Digest 18 FISHERY STATISTICS OF THE UNITED STATES 1945 BY A. W. ANDERSON and E. A. POWER UNITED STATES GOVERNMENT PRINTING
FISHERY STATISTICS OF THE UNITED STATES
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FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1966 STATISTICAL DIGEST NO. 60 UNITED STATES DEPARTMENT OF THE INTERIOR U.S. FISH AND WILDLIFE SERVICE Bureau of Commercial Fisheries STATISTICAL DIGEST 60 FISHERY STATISTICS OF THE UNITED STATES 1966 BY Charles H. Lyles PUBLISHED BY BUREAU OF COMMERCIAL FISHERIES
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1959 ^mmi STATISTICAL DIGEST NO. 51 UNITED STATES DEPARTMl of Commercial Fisheries, Donald L. McKernan, Director jPANlELM COHEN FISH AND WILDLIFE SERVICE STATISTICAL DIGEST 51 FISHERY STATISTICS OF THE UNITED STATES 1959 BY E. A. POWER PUBLISHED BY BUREAU OF COMMERCIAL
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics SUMMER Seminar Series SONJA PETROVIC Department of Statistics Pennsylvania State University Algebraic Statistics for Random Graph Models MONDAY, August 8, 2011, at 4:00 PM 110 Eckhart Hall, 5734 S. University Avenue ABSTRACT Algebraic statistics has flourished
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium SEBASTIEN ROCH Department. An important issue in this context is the fundamental trade-off between statistical accuracy and computational how this probabilistic perspective produces a finer theoretical understanding of the statistical
Department: Statistics Course No: STAT 100Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 100Q Title: Introduction to Statistics Credits: 4 Contact above. A standard approach to statistical analysis primarily for students of business and economics and correlation, exploratory data analysis. Learning to do statistical analysis on a personal computer
Department: Statistics Course No: STAT 243Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 243Q Title: Design of Experiments Credits: 3 Contact : Dipak statistical software to analize data sets based on the statistical methods developed in this course. B. Two and problem assignments from the textbook. C. Analysis of variance statistical models are the major theme
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series VICTOR PANARETOS Department of Statistics University of California, Berkeley On the Statistical Inversion of a Stochastic Radon Transform, thus posing a va- riety of statistical problems. We formulate and study such a problem, one
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series YALI AMIT Departments of Statistics and Computer Science The University of Chicago Statistical Models in Computer Vision MONDAY of configurations. I will present an approach which starts from simple statistical models for individual objects
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES SH 11 A443X FISH 1948 STATISTICAL DIGEST NO. 22 Fish OF THE INTERIOR, Oscar L. Chapman, Secretary FISH AND WILDLIFE SERVICE, Albert M. Day, Director Statistical Digest 22 FISHERY STATISTICS OF THE UNITED STATES 1948 BY A. W. ANDERSON and E. A. POWER UNITED STATES
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium XIAOFENG SHAO Department of Statistics University of Illinois, Urbana-Champaign Self-Normalization for Time Series MONDAY, May 21, 2012 of a statistic. Or the inference can be conducted by using resampling (e.g. moving block boot- strap
FISHERY STATISTICS OF THE UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES I 1952 .^£^ STATISTICAL DIGEST NO. 34 Fish and Wildlife McKay, Secretary FISH AND WILDLIFE SERVICE, John L. Farley, Director -iJ^EUW^ .COHEN Statistical Digest 34 FISHERY STATISTICS OF THE UNITED STATES 1952 BY A. W. ANDERSON and E. A. POWER UNITED STATES
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics 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
Department: Statistics Course No: STAT 201Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 201Q Title: Introduction to Statistics II Credits: 3 Contact : Dipak K. Dey WQ: Q Catalog Copy : 201Q. Introduction to Statistics II Either semester. Three credits of no calculus background the ideas and methods of statistics beyond the initial introduction given in STAT100
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Samuel Kou Department of Statistics statistical modeling and inference effort. This paper provides the first likelihood-based analysis statistical techniques to the analysis of data produced by modern technologies. This work is joint with Sunney
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series DEBASHIS MONDAL Department of Statistics University of Chicago Gaussian Random Fields and Spatial Statistics MONDAY, April 12, 2010, at 4. ABSTRACT In recent decades, there has been much progress and interest in spatial statistics
Department: Statistics Course No: STAT 220Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 220Q Title: Statistical Methods Credits: 3 Contact : Dipak K. Dey WQ: Q Catalog Copy : STAT 220Q. Statistical Methods (Calculus Level) Either semester. Three design, non-parametric procedures. Course Information : A. This course offers instruction in statistical
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar 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
Statistical Signal Processing Debasis Kundu 1
Kundu, Debasis
Statistical Signal Processing Debasis Kundu 1 Signal processing may broadly be considered, statistical techniques play an important role in signal processing. Statistics is used in the formulation for estimation of model parameters, and the assessment of model performances. Statistical Signal Processing
QUANTUM MECHANICS WITHOUT STATISTICAL POSTULATES
G. GEIGER; ET AL
2000-11-01T23:59:59.000Z
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.
Statistics in Practice Forensic Science
Lucy, David
". · Greater use of trace evidence (paint/glass/fibres). · DNA revolution. The rise of DNA was coincident: · Trace evidence (glass/paint/fibres) being treated statistically. · More evidence types: · common partner Sally Rose. · He picked up a champagne bottle and struck her on the head. · Rose died at the scene
Statistical mechanics of the vacuum
Christian Beck
2012-03-01T23:59:59.000Z
The vacuum is full of virtual particles which exist for short moments of time. In this paper we construct a chaotic model of vacuum fluctuations associated with a fundamental entropic field that generates an arrow of time. The dynamics can be physically interpreted in terms of fluctuating virtual momenta. This model leads to a generalized statistical mechanics that distinguishes fundamental constants of nature.
Gauge Invariance and Fractional Statistics
A. R. P. Lima; R. R. Landim
2006-10-04T23:59:59.000Z
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.
MANCHESTER METROPOLITAN Financial Statements
(includes share of associated company's result) (199,979) (185,386) Impairment on properties in an impairment charge of £7.7m The University has during the past year been planning the implementation of six seven campus areas down to three and will ensure the University has a sustainable estate for the future
Metropolitan problems in Texas
Pearson, William Morris
1965-01-01T23:59:59.000Z
, the fifty state govern- ments, and 56, 507 local governments other than school districts: 3)043 counties, 17, 997 municipalities, 17, 144 townships, and. 18, 323 special districts. The average number of governmental units per state was 1, 825. However... Counties Municipalities Townships and towns School districts Special districts Total 1 50 17, 997 17, 144 34, 678 18, 323 91, 236 1 50 3)050 17)251 17, 198 50, 454 14, 424 102, 392 1 50 3) 052 16, 807 17)202 67, 355 12, 340 116...
Manchester Metropolitan University Sustainability
to create a sustainable University with a positive environmental impact" First Class Environmental and environmental impact. · We've installed two green roofs on our All Saints building to help reduce the risk "Working together to create a sustainable University with a positive environmental impact" First Class
Introduction to statistical models and non-extensive statistics
T. S. Biro
2005-07-27T23:59:59.000Z
Quark matter is being expected to be found in heavy ion collisions on the basis of calculations in the framework of traditional, extensive thermodynamics. Recently a non-extensive generalization of the thermodynamics is emerging in the theoretical research. We review here some basic concepts in statistics, kinetic theory and thermodynamics, in particular those encountered in non-extensive thermodynamics. This offers an introduction into the theoretical basis of considering non-extensive parton kinetics for describing the hadronization of quark matter.
Graduate Certificate in Applied Statistics Earn a graduate certificate in Applied Statistics
Frey, Jesse C.
Graduate Certificate in Applied Statistics Earn a graduate certificate in Applied Statistics from their statistical knowledge and demonstrate their expertise in statistics beyond the undergraduate level. Program in programs that utilize statistics. Admission Requirements Applicants must submit an application, a statement
Luisa T. Molina, Rainer Volkamer, Benjamin de Foy, Wenfang Lei, Miguel Zavala, Erik Velasco; Mario J. Molina
2008-10-31T23:59:59.000Z
This project was one of three collaborating grants funded by DOE/ASP to characterize the fine particulate matter (PM) and secondary PM precursors in the Mexico City Metropolitan Area (MCMA) during the MILAGRO Campaign. The overall effort of MCMA-2006, one of the four components, focused on i) examination of the primary emissions of fine particles and precursor gases leading to photochemical production of atmospheric oxidants and secondary aerosol particles; ii) measurement and analysis of secondary oxidants and secondary fine PM production, with particular emphasis on secondary organic aerosol (SOA), and iii) evaluation of the photochemical and meteorological processes characteristic of the Mexico City Basin. The collaborative teams pursued the goals through three main tasks: i) analyses of fine PM and secondary PM precursor gaseous species data taken during the MCMA-2002/2003 campaigns and preparation of publications; ii) planning of the MILAGRO Campaign and deployment of the instrument around the MCMA; and iii) analysis of MCMA-2006 data and publication preparation. The measurement phase of the MILAGRO Campaign was successfully completed in March 2006 with excellent participation from the international scientific community and outstanding cooperation from the Mexican government agencies and institutions. The project reported here was led by the Massachusetts Institute of Technology/Molina Center for Energy and the Environment (MIT/MCE2) team and coordinated with DOE/ASP-funded collaborators at Aerodyne Research Inc., University of Colorado at Boulder and Montana State University. Currently 24 papers documenting the findings from this project have been published. The results from the project have improved significantly our understanding of the meteorological and photochemical processes contributing to the formation of ozone, secondary aerosols and other pollutants. Key findings from the MCMA-2003 include a vastly improved speciated emissions inventory from on-road vehicles: the MCMA motor vehicles produce abundant amounts of primary PM, elemental carbon, particle-bound polycyclic aromatic hydrocarbons, carbon monoxide and a wide range of air toxics; the feasibility of using eddy covariance techniques to measure fluxes of volatile organic compounds in an urban core and a valuable tool for validating local emissions inventory; a much better understanding of the sources and atmospheric loadings of volatile organic compounds; the first spectroscopic detection of glyoxal in the atmosphere; a unique analysis of the high fraction of ambient formaldehyde from primary emission sources; characterization of ozone formation and its sensitivity to VOCs and NOx; a much more extensive knowledge of the composition, size distribution and atmospheric mass loadings of both primary and secondary fine PM, including the fact that the rate of MCMA SOA production greatly exceeded that predicted by current atmospheric models; evaluations of significant errors that can arise from standard air quality monitors for O3 and NO2; and the implementation of an innovative Markov Chain Monte Carlo method for inorganic aerosol modeling as a powerful tool to analyze aerosol data and predict gas phase concentrations where these are unavailable. During the MILAGRO Campaign the collaborative team utilized a combination of central fixed sites and a mobile laboratory deployed throughout the MCMA to representative urban and boundary sites to measure trace gases and fine particles. Analysis of the extensive 2006 data sets has confirmed the key findings from MCMA-2002/2003; additionally MCMA-2006 provided more detailed gas and aerosol chemistry and wider regional scale coverage. Key results include an updated 2006 emissions inventory; extension of the flux system to measure fluxes of fine particles; better understanding of the sources and apportionment of aerosols, including contribution from biomass burning and industrial sources; a comprehensive evaluation of metal containing particles in a complex urban environment; identification of a close correlation between
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article) | SciTechDatastreamsmplDatastreamsxsacrspeccmaskxpol7, 2013 [Facility News, FeaturePlainsGuestField Campaign Statistics 2015
STATISTICAL MECHANICS PRACTICE EXAM 2005
Dorlas, Teunis C.
STATISTICAL MECHANICS PRACTICE EXAM 2005 Time allotted: 3 hours for 5 questions. 1. (i) Give density of a system of independent spins si = ±1 with energy levels given by E(s1, . . . , sN ) = -H N i=1 si. 2. (i) Derive the expression f() = - 1 ln eJ cosh H + e2J sinh2 H + e-2J for the free energy
Statistically significant relational data mining :
Berry, Jonathan W.; Leung, Vitus Joseph; Phillips, Cynthia Ann; Pinar, Ali; Robinson, David Gerald; Berger-Wolf, Tanya; Bhowmick, Sanjukta; Casleton, Emily; Kaiser, Mark; Nordman, Daniel J.; Wilson, Alyson G.
2014-02-01T23:59:59.000Z
This report summarizes the work performed under the project (3z(BStatitically significant relational data mining.(3y (BThe goal of the project was to add more statistical rigor to the fairly ad hoc area of data mining on graphs. Our goal was to develop better algorithms and better ways to evaluate algorithm quality. We concetrated on algorithms for community detection, approximate pattern matching, and graph similarity measures. Approximate pattern matching involves finding an instance of a relatively small pattern, expressed with tolerance, in a large graph of data observed with uncertainty. This report gathers the abstracts and references for the eight refereed publications that have appeared as part of this work. We then archive three pieces of research that have not yet been published. The first is theoretical and experimental evidence that a popular statistical measure for comparison of community assignments favors over-resolved communities over approximations to a ground truth. The second are statistically motivated methods for measuring the quality of an approximate match of a small pattern in a large graph. The third is a new probabilistic random graph model. Statisticians favor these models for graph analysis. The new local structure graph model overcomes some of the issues with popular models such as exponential random graph models and latent variable models.
Parallel auto-correlative statistics with VTK.
Pebay, Philippe Pierre [Kitware, France; Bennett, Janine Camille
2013-08-01T23:59:59.000Z
This report summarizes existing statistical engines in VTK and presents both the serial and parallel auto-correlative statistics engines. It is a sequel to [PT08, BPRT09b, PT09, BPT09, PT10] which studied the parallel descriptive, correlative, multi-correlative, principal component analysis, contingency, k-means, and order statistics engines. The ease of use of the new parallel auto-correlative statistics engine is illustrated by the means of C++ code snippets and algorithm verification is provided. This report justifies the design of the statistics engines with parallel scalability in mind, and provides scalability and speed-up analysis results for the autocorrelative statistics engine.
September 12, 2013 THE FLORIDA STATE UNIVERSITY DEPARTMENT OF STATISTICS
Shepp, Larry
September 12, 2013 THE FLORIDA STATE UNIVERSITY DEPARTMENT OF STATISTICS ASSISTANT PROFESSOR POSITION IN STATISTICS, BIOSTATISTICS, OR COMPUTATIONAL STATISTICS (TENURE-TRACK) The Department of Statistics at Florida State University invites applications for a tenure-track position in statistics
Kansas Statistical Abstract 2004 (39th Edition)
Policy Research Institute
2006-01-31T23:59:59.000Z
The Kansas Statistical Abstract contains state, county, and city-level data for Kansas on population, vital statistics and health, housing, elections, education, business and manufacturing, exports, employment, income, ...
Kansas Statistical Abstract 2002 (37th Edition)
2003-09-01T23:59:59.000Z
The Kansas Statistical Abstract contains state, county, and city-level data for Kansas on population, vital statistics and health, housing, elections, education, business and manufacturing, exports, employment, income, ...
Statistical Review of California's Organic Agriculture
Ferrara, Katherine W.
Statistical Review of California's Organic Agriculture 2005 2009 Karen Klonsky Kurt Richter Agricultural Issues Center University of California March 2011 #12;Statistical Review of California's Organic Agriculture 2005 2009 Karen Klonsky Extension Specialist Department of Agricultural and Resource Economics
Seismic Attribute Analysis Using Higher Order Statistics
Greenidge, Janelle Candice
2009-05-15T23:59:59.000Z
Seismic data processing depends on mathematical and statistical tools such as convolution, crosscorrelation and stack that employ second-order statistics (SOS). Seismic signals are non-Gaussian and therefore contain information beyond SOS. One...
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series STEFFEN LAURITZEN Department of Statistics University of Oxford Bayesian Networks for the Analysis of DNA Mixtures MONDAY, May 21, 2009, at 4
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar D. R. Bellhouse Department of Statistical and Actuarial Sciences University of Western Ontario London, Ontario Canada N6A 5B7 "Lord Stanhope
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Noureddine El Karoui Department of Statistics Stanford University "The Tracy-Widom Law Holds When n, p, p/n , with Application to PCA" Monday
Ponce, V. Miguel
American Statistical Association Names Fellows for 2010 ALEXANDRIA VA (PRWEB) MAY 20, 2010 The American Statistical Association (ASA), the nation's preeminent professional statistical society, today the American Statistical Association The American Statistical Association (ASA), a scientific and educational
Purdue VIGRE REU in Mathematics and Statistics
Research Experience for Undergraduates. at the. Departments of Mathematics and Statistics Purdue Univeristy, West Lafayette, Indiana Summer 2003.
WhartonDepartment of Statistics Data Mining
Stine, Robert A.
WhartonDepartment of Statistics Data Mining Introduction Bob Stine Dept of Statistics What is data mining? Â· An insult? Â· Predictive modeling Â· Large, wide data sets, often unstructuredDepartment of Statistics Plan Â· Week 1 Â· Data mining with regression, logistic regression Â· Illustrate key ideas
Quantrum chaos and statistical nuclear physics
Not Available
1986-01-01T23:59:59.000Z
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.
CAPES 2013 PROBABILITY and STATISTICS Ttulo ISSN
Moreira, Carlos Gustavo
-0918 Communications Series A1 Mathematics & Statistics 1303-5911 Computational and mathematical organization theory-5483 Communications in Mathematical Physics 0010-3616 Communications in statistics. Simulation and computation 0361 communications in probability 1083-589X Electronic journal of applied statistical analysis 2070-5948 Electronic
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics BAHADUR MEMORIAL LECTURES JAMES O. BERGER Department of Statistical Science Duke University Bayesian Adjustment for Multiplicity MONDAY, April 11, 2011 for multiplicity in non-Bayesian statistics. Not all assignments of prior probabilities adjust for multiplicity
Rich Levine Department of Mathematics and Statistics
Goldberg, Fred M.
Rich Levine Department of Mathematics and Statistics San Diego State University Integrating Change in statistics instruction through the SDSU ITS Course Design Institute (CDI) and the CSU Promising Course Redesign program. The studies consider student success in an online offering of a core applied statistics
Online Course Syllabus STATS 7: Basic Statistics
Loudon, Catherine
Online Course Syllabus Page 1 STATS 7: Basic Statistics Summer Session I 2011 Class Meeting at UC Irvine where she has been teaching statistics for many years. She is also involved in the development of educational material for statistics, from helping to conceive a TV program for distance
Peter Brien Bureau of Justice Statistics
Hemmers, Oliver
Peter Brien Bureau of Justice Statistics Overview Federal law prohibits the transfer of a firearm been convicted of a domestic violence misdemeanor (18 USC § 922(g)). The Bureau of Justice Statistics provides as part of its Firearm Inquiry Statistics (FIST) project. Some of the highlights from the survey
STATISTICS COLLOQUIUM MONDAY, MARCH 24, 2014
Schrag, Daniel
STATISTICS COLLOQUIUM MONDAY, MARCH 24, 2014 TALK: 4:15 PM -- SCIENCE CENTER RM. 705 RECEPTION: 3 Department of Statistics University of California, Berkeley ABSTRACT In a 2009 PNAS article, based on work at appropriate speeds. We discuss these results and argue that while they are hard to interpret statistically
STATISTICS COLLOQUIUM MONDAY, SEPTEMBER 12, 2011
Schrag, Daniel
STATISTICS COLLOQUIUM MONDAY, SEPTEMBER 12, 2011 TALK: 4:00 PM -- SCIENCE CENTER RM. 309 RECEPTION Dasgupta Statistics Department Harvard University ABSTRACT A framework for causal inference from two experiments. The framework allows for statistical inference from a finite population, permits definition
40.530: Statistics Professor Chen Zehua
Chen, Zehua
40.530: Statistics Professor Chen Zehua Singapore University of Design and Technology Professor Chen Zehua 40.530: Statistics #12;Lecture 4: Population and sample, models, Sufficiency and completeness Population, sample and statistic Natural population: A natural population is usually a collection
College of Arts and Sciences STA Statistics
MacAdam, Keith
College of Arts and Sciences STA Statistics KEY: # = new course * = course changed = course dropped University of Kentucky 2013-2014 Undergraduate Bulletin 1 STA 200 STATISTICS: A FORCE IN HUMAN JUDGMENT. (3) This course is concerned with the interaction of the science and art of statistics with our
Tutorials on AstroStatistics and R
Wolfe, Patrick J.
Tutorials on AstroStatistics and R by Eric Feigelson Jan 29 and Jan 31, 2014 Phillips Auditorium in astronomical research [general interest lecture] 10:00am - 11:00am : Introduction to the R statistical software language [lecture & practicum] 11:00am - 2:30pm : break [EF available for informal statistical consulting
Unsupervised Segmentation for Statistical Machine Translation
Koehn, Philipp
Unsupervised Segmentation for Statistical Machine Translation Siriwan Sereewattana TH E U N I V E R for statistical machine translation. The approach requires no language- nor domain-specific knowledge whatsoever in principle the statistical framework of machine translation can be ap- plied to any language pair
EPSRC CASE Studentship Statistical Modelling of Fingerprints
Oakley, Jeremy
and mathematics together with experience or strong interest in statistical computing (including programming in R1 EPSRC CASE Studentship Statistical Modelling of Fingerprints SUMMARY This CASE studentship involves working with researchers in the Statistics & Interpretation Group of the Forensic Science Service
General Database Statistics Using Entropy Maximization
Suciu, Dan
(z) Estimate: q(y) :- R(x, y), S(y, z) Fig. 1. An example of a Statistical Program and a query, q whoseGeneral Database Statistics Using Entropy Maximization Raghav Kaushik1 , Christopher R´e2 , and Dan engines. The key object of our study is a statistical program, which is a set of pairs (v, d), where v
Inga Maslova Department of Mathematics and Statistics
Lansky, Joshua
Inga Maslova Department of Mathematics and Statistics American University, Washington, D.C. 20016 EXPERIENCE Professor, American University, D.C. Sept 2009 present "Basic Statistics" (Stat202) "Data, and L.Zhu (2010), Statistical significance testing for the association of the magnetometer records
Spatial Autocorrelation and Statistical Tests: Some Solutions
Fortin, Marie Josee
.fortin@utoronto.ca). 188 © 2009 American Statistical Association and the International Biometric Society JournalSpatial Autocorrelation and Statistical Tests: Some Solutions Mark R. T. DALE and Marie problem in analysis, affecting the significance rates of statistical tests, making them too liberal when
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series REGINA LIU Department of Statistics Rutgers, The State University of New Jersey Mining and Tracking Massive Text Data MONDAY, April 9 datasets to discover useful features and develop tracking statistics (often referred to as performance
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series GILLES BLANCHARD Associate researcher, Fraunhofer FIRST (IDA) "Statistical Performance of Support Vector Machines" MONDAY, January 29 in Eckhart 110. ABSTRACT I will present a contribution to the statistical analysis of Support Vector Machines
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series YACINE AIT-SAHALIA Bendheim Refreshments following the seminar in Eckhart 110. ABSTRACT We propose statistical tests to discriminate frequency. The two statistics allow for a symmetric treatment of the problem: we can either take the null
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series VENKAT CHANDRASEKARAN Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Statistical Modeling over is motivated by the following question: Suppose we have sample statistics of only a subset of a collection
Statistics beyond Physics -Misused in Public ?
Kobe, Sigismund
Statistics beyond Physics - Misused in Public ? S. KOBE Institut für Theoretische Physik Technische are three kinds of lies: Lies, damned lies, and statistics" attributed by Mark TWAIN to the 19th Century gefälscht habe. (Do not trust any statistics you did not fake yourself.)" attributed by ... to the 20th
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series NANCY R. ZHANG Department of Statistics Stanford University Simultaneous Scans of Multiple Sequences for Shared Variant Intervals MONDAY in Eckhart 110. ABSTRACT We examine the statistical problem of simultaneous detection in multiple sequences
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series ERIC XING Departments of Machine of genome variations. Statistical genetic methodologies developed so far mostly address these problems, and the close statistical and biological relationships underlying different problems. In this talk, I discuss
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series DAVID VAN DYK Department of Statistics University of California, Irvine "Highly Structured Models in High Energy Astrophysics" MONDAY in Eckhart 110. ABSTRACT In recent years, an important new trend has been growing in applied statistics
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series MURAD S. TAQQU Department of Mathematics and Statistics Boston University Self-Similarity and Computer Network Traffic MONDAY, November 8 in Eckhart 110. ABSTRACT Ethernet local area network traffic appears to be approximately statistically self
Statistics and Causal Inference PAUL W. HOLLAND*
Fitelson, Branden
Statistics and Causal Inference PAUL W. HOLLAND* Problems involving causal inference have dogged conclusions drawn from a carefully designed experiment are often valid. What can a statistical model say about in the most unexpected places, for example, "If the statistics cannot relate cause and effect, they can
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics BAHADUR MEMORIAL LECTURES JAMES O. BERGER Department of Statistical Science Duke University "I don't know where I'm gonna go when the volcano blows of mathematical computer modeling, statistical modeling of geophysical data, and extreme-event probability
June 1, 2015 DEPARTMENT OF MATHEMATICS, STATISTICS
June 1, 2015 DEPARTMENT OF MATHEMATICS, STATISTICS AND COMPUTER SCIENCE Limited Term Position The Department of Mathematics, Statistics and Computer Science at St. Francis Xavier University invites, 2016. Applicants should hold a PhD (or a nearly completed PhD) in Mathematics or Statistics
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seventh Annual Bahadur Memorial Lectures ELIZABETH A. THOMPSON Department of Statistics University of Washington "Uncertainty and Evidence introduced into the statistics literature as a way to describe the uncertainty inherent in a randomized test
Statistics Department University of California, Berkeley
California at Santa Cruz, University of
John Rice Statistics Department University of California, Berkeley Joint work with Peter Bickel, no matter how rich the dictionary from which you adaptively compose a detection statistic, no matter how to be a [closet] Bayesian and choose directions a priori. Lehman & Romano. Testing Statistical Hypotheses. Chapt
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics 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
Department: Statistics Course number: STAT 202W
Alpay, S. Pamir
Department: Statistics Course number: STAT 202W Title: Undergraduate Seminar II Credits: 1 Contact, and choose one statistical topic to investigate in detail. The student will write a well revised will attend 6-8 seminars per semester, and choose one statistical topic to investigate in detail. The student
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series SOURAV CHATTERJEE Department of Statistics University of California, Berkeley "Some extensions of Stein's method" MONDAY, February 20, 2006 dependence models of statistical physics and combinatorics will be worked out. Please send email to Mathias
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series DAN NICOLAE Department of Statistics The University of Chicago "Quantifying Correlation with Applications to Genome-Wide Association of the statistical issues involved including the need for multi-locus analyses and allowing for environmental risk
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series MATHIAS DRTON Department of Statistics The University of Chicago "Algebraic Factor Analysis: Tetrads, Pentads and Beyond" MONDAY, January in Eckhart 110. ABSTRACT Abstract: Factor analysis refers to a statistical model in which observed variables
TIGHT BOUNDS ON EXPECTED ORDER STATISTICS
Bertsimas, Dimitris
TIGHT BOUNDS ON EXPECTED ORDER STATISTICS DIIIMMMIIITTTRRRIIISSS BEEERRRTTTSSSIIIMMMAAASSS Sloan@nus.edu.sg In this article, we study the problem of finding tight bounds on the expected value of the kth-order statistic E of the highest-order statistic E @Xn:n# can be computed with a bisection search algo- rithm+ An extremal discrete
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series WEI BIAO WU Department of Statistics The University of Chicago "What is dependence?" MONDAY, March 27, 2006 at 4:00 PM 133 Eckhart Hall of random processes, dependence is the rule rather than the exception. To facilitate the related statistical
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series YING NIAN WU Department of Statistics University of California at Los Angeles "Scale in Natural Scene Image Understanding" MONDAY textures that are often summarized by feature statistics. Although these two classes of patterns appear
Department: Statistics Course No: STAT 242Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 242Q Title: Analysis of Experiments Credits: 3 Contact Information : A. The objective of this course is to introduce students to statistical data analysis using will obtain hands-on experience with analyzing data usign statistical models, such as regression and analysis
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Linda B. Collins Department of Statistics University of Chicago "Issues in Catastrophe Excess-of-Loss Reinsurance Pricing" Monday, December distribution. We discuss the general statistical ideas behind these proprietary models and examine some
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series MARC HALLIN UniversitÂ´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
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series DANIEL J. SCHAID Mayo Clinic-control studies of candidate genes, we develop a new class of nonparametric statistics that can simultaneously test the association of multiple marker loci with disease. Our approach is based on U-statistics, which
Department: Statistics Course No: STAT 272Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 272Q Title: Introduction to Biostatistics Credits: 3 Contact-analysis. Course Information : A. The goal is to introduce the students to the modern statistical methods in modeling analysis of data in biological and medical sciences. Teach the students the use of statistical
Fractional quantum Hall effect and nonabelian statistics
N. Read; G. Moore
1992-02-03T23:59:59.000Z
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.
On statistics of molecular chaos
Yuriy Kuzovlev
2009-11-03T23:59:59.000Z
It is shown that the BBGKY equations for a particle interacting with ideal gas imply exact relations between probability distribution of path of the particle, its derivatives in respect to the gas density and irreducible many-particle correlations of gas atoms with the path. These relations visualize that the correlations of any order always significantly contribute to evolution of the path distribution, so that the exact statistical mechanics theory does not reduce to the classical kinetics even in the low-density (or Boltzmann-Grad) limit.
2008 world direct reduction statistics
NONE
2009-07-01T23:59:59.000Z
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.
Transportation Statistics Annual Report 1997
Fenn, M.
1997-01-01T23:59:59.000Z
This document is the fourth Transportation Statistics Annual Report (TSAR) prepared by the Bureau of Transportation Statistics (BTS) for the President and Congress. As in previous years, it reports on the state of U.S. transportation system at two levels. First, in Part I, it provides a statistical and interpretive survey of the system—its physical characteristics, its economic attributes, aspects of its use and performance, and the scale and severity of unintended consequences of transportation, such as fatalities and injuries, oil import dependency, and environment impacts. Part I also explores the state of transportation statistics, and new needs of the rapidly changing world of transportation. Second, Part II of the report, as in prior years, explores in detail the performance of the U.S. transportation system from the perspective of desired social outcomes or strategic goals. This year, the performance aspect of transportation chosen for thematic treatment is “Mobility and Access,” which complements past TSAR theme sections on “The Economic Performance of Transportation” (1995) and “Transportation and the Environment” (1996). Mobility and access are at the heart of the transportation system’s performance from the user’s perspective. In what ways and to what extent does the geographic freedom provided by transportation enhance personal fulfillment of the nation’s residents and contribute to economic advancement of people and businesses? This broad question underlies many of the topics examined in Part II: What is the current level of personal mobility in the United States, and how does it vary by sex, age, income level, urban or rural location, and over time? What factors explain variations? Has transportation helped improve people’s access to work, shopping, recreational facilities, and medical services, and in what ways and in what locations? How have barriers, such as age, disabilities, or lack of an automobile, affected these accessibility patterns? How are commodity flows and transportation services responding to global competition, deregulation, economic restructuring, and new information technologies? How do U.S. patterns of personal mobility and freight movement compare with other advanced industrialized countries, formerly centrally planned economies, and major newly industrializing countries? Finally, how is the rapid adoption of new information technologies influencing the patterns of transportation demand and the supply of new transportation services? Indeed, how are information technologies affecting the nature and organization of transportation services used by individuals and firms?
Entanglement distillation using particle statistics
H. L. Huang; L. H. Cheng; X. X. Yi
2005-10-25T23:59:59.000Z
We extend the idea of entanglement concentration for pure states(Phys. Rev. Lett. {\\bf 88}, 187903) to the case of mixed states. The scheme works only with particle statistics and local operations, without the need of any other interactions. We show that the maximally entangled state can be distilled out when the initial state is pure, otherwise the entanglement of the final state is less than one. The distillation efficiency is a product of the diagonal elements of the initial state, it takes the maximum 50%, the same as the case for pure states.
Statistical studies of supernova environments
Anderson, Joseph P; Habergham, Stacey M; Galbany, Lluís; Kuncarayakti, Hanindyo
2015-01-01T23:59:59.000Z
Investigations of the environments of SNe allow statistical constraints to be made on progenitor properties. We review progress that has been made in this field. Pixel statistics using tracers of e.g. star formation within galaxies show differences in the explosion sites of, in particular SNe types II and Ibc (SNe II and SNe Ibc), suggesting differences in population ages. Of particular interest is that SNe Ic are significantly more associated with H-alpha emission than SNe Ib, implying shorter lifetimes for the former. In addition, such studies have shown that the interacting SNe IIn do not explode in regions containing the most massive stars, which suggests that at least a significant fraction of their progenitors arise from the lower end of the core-collapse SN mass range. Host HII region spectroscopy has been obtained for a significant number of core-collapse events, however definitive conclusions have to-date been elusive. Single stellar evolution models predict that the fraction of SNe Ibc to SNe II sho...
Lectures on probability and statistics
Yost, G.P.
1984-09-01T23:59:59.000Z
These notes are based on a set of statistics lectures delivered at Imperial College to the first-year postgraduate students in High Energy Physics. They are designed for the professional experimental scientist. We begin with the fundamentals of probability theory, in which one makes statements about the set of possible outcomes of an experiment, based upon a complete a priori understanding of the experiment. For example, in a roll of a set of (fair) dice, one understands a priori that any given side of each die is equally likely to turn up. From that, we can calculate the probability of any specified outcome. We finish with the inverse problem, statistics. Here, one begins with a set of actual data (e.g., the outcomes of a number of rolls of the dice), and attempts to make inferences about the state of nature which gave those data (e.g., the likelihood of seeing any given side of any given die turn up). This is a much more difficult problem, of course, and one's solutions often turn out to be unsatisfactory in one respect or another.
Ravikumar, B.
Statistics Page 233Sonoma State University 2012-2013 Catalog STATISTICS DEPARTMENT OF MATHEMATICS AND STATISTICS Darwin Hall 114 phone: (707) 664-2368 fax: (707) 664-3535 www.sonoma.edu/math DEPARTMENT CHAIR Sam Brannen STATISTICS PROGRAM ADVISORS Susan Herring Elaine McDonald-Newman Scott Nickleach ADMINISTRATIVE
Ravikumar, B.
Statistics Page 239Sonoma State University 2014-2015 Catalog STATISTICS DEPARTMENT OF MATHEMATICS AND STATISTICS Darwin Hall 114 phone: (707) 664-2368 fax: (707) 664-3535 www.sonoma.edu/math DEPARTMENT CHAIR Brigitte Lahme STATISTICS PROGRAM ADVISORS Susan Herring Elaine Newman ADMINISTRATIVE COORDINATOR Marybeth
Ravikumar, B.
Statistics Page 235Sonoma State University 2015-2016 Catalog STATISTICS DEPARTMENT OF MATHEMATICS AND STATISTICS Darwin Hall 114 phone: (707) 664-2368 email: math@sonoma.edu www.sonoma.edu/math DEPARTMENT CHAIR Brigitte Lahme STATISTICS PROGRAM ADVISORS Susan Herring Elaine Newman ADMINISTRATIVE COORDINATORS Whitney
Fitelson, Branden
Branden Fitelson Remarks on the Philosophy of Statistics 0 SOME REMARKS ON THE PHILOSOPHY OF STATISTICS BRANDEN FITELSON Department of Philosophy San Jos´e State University branden@fitelson.org http of Statistics 1 Overview of Presentation · What are the ends of statistical experiment, analysis
Statistics for Teachers: STAT 4/6070 The UGA Statistics Department has been
Hall, Daniel
Statistics for Teachers: STAT 4/6070 The UGA Statistics Department has been teaching a second course in statistics for mathematics education students since 1998. The course is designed to prepare pre-service and in-service high school mathematics teachers to teach the statistical concepts that appear
Developing Your Statistics The Statistics tab is used to display statistics for some or all of your collected samples. You will need at least one sample and a plot to view statistics. Select Samples Select. are displayed and the statistics are added to the Master Statistics Table. Uncheck samples to remove them from
Workforce Statistics - NA SH | National Nuclear Security Administratio...
National Nuclear Security Administration (NNSA)
Us Our Operations Management and Budget Office of Civil Rights Workforce Statistics Workforce Statistics - NA SH Workforce Statistics - NA SH NA SH FY14 Year End...
Dahl, David B.
2 1 1 1 1 1 2 1 1 12 12 1 34 Variable Hours 4.0 2.0 2.0 36.0 3.0 3.0 3.0 4.0 4.0 6.0 3.0 3.0 35.0 37.0 3.0 6.0 Variable 30.0 120.0 Classes Rel A 121/H & 122/H Rel A 211/H or 212/H Rel C 324/H Statistical Computing 2 4.0 4.0 3.0 3.0 3.0 3.0 1.0 1.0 2.0 3.0 3.0 1.0 3.0 3.0 3.0 3.0 Complete 18 credit
Mining, Using and Maintaining Source Statistics for Adaptive Data Integration
Kambhampati, Subbarao
-Objective Optimization, Statistics Mining, Incremental Maintenance 1. INTRODUCTION The availability of structuredMining, Using and Maintaining Source Statistics for Adaptive Data Integration Jianchun Fan a framework for effectively mining multiple types of statistics including source coverage statistics, inter
Statistical assessment of Monte Carlo distributional tallies
Kiedrowski, Brian C [Los Alamos National Laboratory; Solomon, Clell J [Los Alamos National Laboratory
2010-12-09T23:59:59.000Z
Four tests are developed to assess the statistical reliability of distributional or mesh tallies. To this end, the relative variance density function is developed and its moments are studied using simplified, non-transport models. The statistical tests are performed upon the results of MCNP calculations of three different transport test problems and appear to show that the tests are appropriate indicators of global statistical quality.
Bridging the Gap Between Tools for Learning and for Doing Statistics
McNamara, Amelia Ahlers
2015-01-01T23:59:59.000Z
State of statistics knowledge . . . . . . .learning statistics . . . . . . . . . . . . . . . . The gaplearning and for doing statistics . . History of tools for
Using a calculator to do statistics
Dave
2012-03-25T23:59:59.000Z
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.
PHYSICS 775 Statistical Physics Lecturer: Maarten Golterman
Golterman, Maarten
and P. D. Beale, Statistical Mechanics, third edition only, Academic Press (Elsevier). Prerequisites to contact the instructor. The Disability Programs and Resource Center (DPRC) is available to facilitate
Statistical methods for nuclear material management
Bowen W.M.; Bennett, C.A. (eds.) [eds.
1988-12-01T23:59:59.000Z
This book is intended as a reference manual of statistical methodology for nuclear material management practitioners. It describes statistical methods currently or potentially important in nuclear material management, explains the choice of methods for specific applications, and provides examples of practical applications to nuclear material management problems. Together with the accompanying training manual, which contains fully worked out problems keyed to each chapter, this book can also be used as a textbook for courses in statistical methods for nuclear material management. It should provide increased understanding and guidance to help improve the application of statistical methods to nuclear material management problems.
18.441 Statistical Inference, Spring 2002
Hardy, Michael
Reviews probability and introduces statistical inference. Point and interval estimation. The maximum likelihood method. Hypothesis testing. Likelihood-ratio tests and Bayesian methods. Nonparametric methods. Analysis of ...
Accuracy and reliability of China's energy statistics
Sinton, Jonathan E.
2001-01-01T23:59:59.000Z
China’s Energy Statistics Mtce Primary Consumption Coal Primary Consumption Total Energy Primary Production Primary Production Natural Gas Oil Primary Consumption
Statistical Mechanics and Quantum Cosmology
B. L. Hu
1995-11-29T23:59:59.000Z
Statistical mechanical concepts and processes such as decoherence, correlation, and dissipation can prove to be of basic importance to understanding some fundamental issues of quantum cosmology and theoretical physics such as the choice of initial states, quantum to classical transition and the emergence of time. Here we summarize our effort in 1) constructing a unified theoretical framework using techniques in interacting quantum field theory such as influence functional and coarse-grained effective action to discuss the interplay of noise, fluctuation, dissipation and decoherence; and 2) illustrating how these concepts when applied to quantum cosmology can alter the conventional views on some basic issues. Two questions we address are 1) the validity of minisuperspace truncation, which is usually assumed without proof in most discussions, and 2) the relevance of specific initial conditions, which is the prevailing view of the past decade. We also mention how some current ideas in chaotic dynamics, dissipative collective dynamics and complexity can alter our view of the quantum nature of the universe.
Hitchcock, Adam P.
Mathematics & Statistics Coop Program Students from the Mathematics & Statistics Coop Program have design and data analysis, medical imaging, mathematical finance and statistical modeling. They have of Mathematics & Statistics Coop Work Terms Duties: Performed data mapping and analysis activities Derived
Washington at Seattle, University of
American Statistical Association Announces 2011 Award Recipients Awards ceremony to be held at Joint Statistical Meetings in Miami Beach, FL MIAMI BEACH, FL (PRWEB) AUGUST 1, 2011 The American Statistical Association (ASA), the nation's preeminent professional statistical society, today announced
BS in ACTUARIAL SCIENCE (695224) MAP Sheet Department of Statistics
Olsen Jr., Dan R.
BS in ACTUARIAL SCIENCE (695224) MAP Sheet Department of Statistics For students entering of Statistics Stat 151 Intro to Bayesian Statistics Stat 201 Statistics for Engineers & Scientists Stat 301 Statistics & Probability for Sec Ed Note: Students who have passed the AP statistics exam or an introductory
November 2011 MSc and Diploma in Applied Statistics 2011
Goldschmidt, Christina
;2 Statistical Methods 28 17 3.0 3 Statistical Theory 27 12 5.0 4 Statistical Theory 27 8 5.5 5 R Programming 28November 2011 MSc and Diploma in Applied Statistics 2011: Examiners' Report Part I A STATISTICS (1) Numbers and percentages in each category MSc in Applied Statistics Category Number Percentage 2010
Vortex methods and vortex statistics
Chorin, A.J.
1993-05-01T23:59:59.000Z
Vortex methods originated from the observation that in incompressible, inviscid, isentropic flow vorticity (or, more accurately, circulation) is a conserved quantity, as can be readily deduced from the absence of tangential stresses. Thus if the vorticity is known at time t = 0, one can deduce the flow at a later time by simply following it around. In this narrow context, a vortex method is a numerical method that makes use of this observation. Even more generally, the analysis of vortex methods leads, to problems that are closely related to problems in quantum physics and field theory, as well as in harmonic analysis. A broad enough definition of vortex methods ends up by encompassing much of science. Even the purely computational aspects of vortex methods encompass a range of ideas for which vorticity may not be the best unifying theme. The author restricts himself in these lectures to a special class of numerical vortex methods, those that are based on a Lagrangian transport of vorticity in hydrodynamics by smoothed particles (``blobs``) and those whose understanding contributes to the understanding of blob methods. Vortex methods for inviscid flow lead to systems of ordinary differential equations that can be readily clothed in Hamiltonian form, both in three and two space dimensions, and they can preserve exactly a number of invariants of the Euler equations, including topological invariants. Their viscous versions resemble Langevin equations. As a result, they provide a very useful cartoon of statistical hydrodynamics, i.e., of turbulence, one that can to some extent be analyzed analytically and more importantly, explored numerically, with important implications also for superfluids, superconductors, and even polymers. In the authors view, vortex ``blob`` methods provide the most promising path to the understanding of these phenomena.
Statistics W4240: Data Mining Columbia University
Columbia University
Statistics W4240: Data Mining Columbia University Spring, 2014 Version: January 30, 2014 Massive data collection and storage capacities have led to new statistical questions: · Amazon collects and collects user click-through data on those stories. How should it organize the stories based on the click
Multivariate Statistical Tests for Comparing Classification Algorithms
AlpaydÃ½n, Ethem
Multivariate Statistical Tests for Comparing Classification Algorithms Olcay Taner Yildiz1 , Â¨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
Multimedia Statistical Labs & Toolkit (TILE) Deborah Nolan
Nolan, Deborah
Multimedia Statistical Labs & Toolkit (TILE) Deborah Nolan University of California, Department@research.bell-labs.com 1. Introduction The potential for multimedia to enhance the statistics curriculum is clear, but how to develop instructional materials that take advantage of the riches that multimedia has to offer
Department of Mathematics MAL 522 (Statistical Inference)
Dharmaraja, S.
location parameter family the sample variance is ancillary. 9. Using Basu's theorem establish that sample parameter . Show that (Y1, Y2, . . . , Yn-1) where Yi = X(n) - X(i), i = 1, 2, . . . , n - 1 is ancillary or not the ancillary statistics (Y1, Y2, . . . , Yn-1) is independent of the minimal sufficient statistics of . 12
Conditional statistical inference and quantification of relevance
Sundberg, Rolf
a quantification of the concept of relevance for conditional in- ference. Conditioning on an ancillary statistic makes inference more relevant in this sense, provided that the ancillary is a precision index. Not all ancillary statistics satisfy this demand. We discuss the problem of choice between alternative ancillary
GIS, SPATIAL STATISTICAL GRAPHICS, AND FOREST HEALTH.
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
On statistical mechanics in noncommutative spaces
S. A. Alavi
2007-09-26T23:59:59.000Z
We study the formulation of quantum statistical mechanics in noncommutative spaces. We construct microcanonical and canonical ensemble theory in noncommutative spaces. We consider for illustration some basic and important examples in the framework of noncommutative statistical mechanics : (i). An electron in a magnetic field. (ii). A free particle in a box. (iii). A linear harmonic oscillator.
Fractal Statistics and Quantum Black Hole Entropy
Wellington da Cruz
2000-11-18T23:59:59.000Z
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.
Factored Language Models for Statistical Machine Translation
Koehn, Philipp
Factored Language Models for Statistical Machine Translation Amittai E. Axelrod TH E U N I V E R . . . . . . . . . . . . . . . . . . . . . 10 2.4.3 Log-Linear, Phrase-Based Translation Models . . . . . . . . . 11 3 Statistical Language S ITY OF E D I N B U R G H Master of Science by Research Institute for Communicating and Collaborative
Introduction to Statistical Linear Models Spring 2005
of multivariate data and in the language of matrices and vectors. Broad introduction to MATLAB/Octave, R (SSyllabus Introduction to Statistical Linear Models 960:577:01 Spring 2005 Instructor: Farid Statistical Analysis" Fifth edition, Prentice Hall, 2002. Other sources may be required and will be posted
: ( Statistical computing) : (Pi-Wen Tsai)
Tsai, Pi-Wen
computing "methods", with an emphasis on using the R language (http://www.r-project.org/) via an examples-Hastings algorithm, Gibbs sampler. 9. EM algorithm , (a) Rizzo, M. L. (2007), Statistical computing with R : ( Statistical computing) : (Pi-Wen Tsai) E-mail : pwtsai@math.ntnu.edu.tw or pwtsai
Empirical Comparison of Statistical Pavement Performance Models
sections from the American Association of State Highway Officials AASHO Road Test Highway Research BoardEmpirical Comparison of Statistical Pavement Performance Models Chih-Yuan Chu1 and Pablo L. Durango-Cohen2 Abstract: We conduct an empirical comparison of nine representative statistical pavement
Statistical Seismology DAVID VERE-JONES,1
Ben-Zion, Yehuda
models without statistics, and statistics-based models without physics. This volume, which is based such broad insights into tractable explicit models, that can be fitted to a specific data set and used observations demand matching techniques of modeling and data anal
Wavelet Methods in Statistics with R
Nason, Guy
Use R! G.P.Nason Use R! Wavelet Methods in Statistics with R WaveletMethodsinStatisticswithR Wavelet methods have recently undergone a rapid period of development with important impli- cations an introduction to wavelets and their uses in statistics; (ii) acting as a quick and broad reference to many
DEPARTMENT OF STATISTICS North Carolina State University
Zhang, Hao "Helen"
DEPARTMENT OF STATISTICS North Carolina State University 2501 Founders Drive, Campus Box 8203 for Nonparametric Regression in Exponential Families Hao Zhang Department of Statistics, North Carolina State Zhang and Yi Lin North Carolina State University and University of Wisconsin at Madison Abstract: We
Computational Aspects in Statistical Signal Processing
Kundu, Debasis
14 Computational Aspects in Statistical Signal Processing D. Kundu 14.1 Introduction Signal such as communi- cations, radio location of objects, seismic signal processing and computer assisted medical diagnosis. Statistical signal processing is also used in many physical science applications
Statistical data mining Finn Arup Nielsen
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
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
BS in STATISTICS: Biostatistics Emphasis (695233) MAP Sheet Department of Statistics
Dahl, David B.
Analysis of Variance Stat 240 Discrete Probability Stat 290 Communication of Statistical Results Stat 330 of Survey Sampling Stat 274 Theory of Interest Stat 424 Statistical Computing Stat 431 Experimental Design Theory of Analysis 2 Stat 151 Introduction to Bayesian Statistics Stat 234 Methods of Survey Sampling
Principles of Statistical Inference Department of Statistics, University of Toronto, Canada
Reid, Nancy
and D. R. Cox Nuffield College, Oxford, UK Abstract Statistical theory aims to provide a foundationPrinciples of Statistical Inference N. Reid Department of Statistics, University of Toronto, Canada, and a common language for summarizing results; ideally the foundations and common language ensure
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
Topology for statistical modeling of petascale data.
Pascucci, Valerio (University of Utah, Salt Lake City, UT); Mascarenhas, Ajith Arthur; Rusek, Korben (Texas A& M University, College Station, TX); Bennett, Janine Camille; Levine, Joshua (University of Utah, Salt Lake City, UT); Pebay, Philippe Pierre; Gyulassy, Attila (University of Utah, Salt Lake City, UT); Thompson, David C.; Rojas, Joseph Maurice (Texas A& M University, College Station, TX)
2011-07-01T23:59:59.000Z
This document presents current technical progress and dissemination of results for the Mathematics for Analysis of Petascale Data (MAPD) project titled 'Topology for Statistical Modeling of Petascale Data', funded by the Office of Science Advanced Scientific Computing Research (ASCR) Applied Math program. Many commonly used algorithms for mathematical analysis do not scale well enough to accommodate the size or complexity of petascale data produced by computational simulations. The primary goal of this project is thus to develop new mathematical tools that address both the petascale size and uncertain nature of current data. At a high level, our approach is based on the complementary techniques of combinatorial topology and statistical modeling. In particular, we use combinatorial topology to filter out spurious data that would otherwise skew statistical modeling techniques, and we employ advanced algorithms from algebraic statistics to efficiently find globally optimal fits to statistical models. This document summarizes the technical advances we have made to date that were made possible in whole or in part by MAPD funding. These technical contributions can be divided loosely into three categories: (1) advances in the field of combinatorial topology, (2) advances in statistical modeling, and (3) new integrated topological and statistical methods.
Quantum Statistical Processes in the Early Universe
B. L. Hu
1993-02-22T23:59:59.000Z
We show how the concept of quantum open system and the methods in non-equilibrium statistical mechanics can be usefully applied to studies of quantum statistical processes in the early universe. We first sketch how noise, fluctuation, dissipation and decoherence processes arise in a wide range of cosmological problems. We then focus on the origin and nature of noise in quantum fields and spacetime dynamics. We introduce the concept of geometrodynamic noise and suggest a statistical mechanical definition of gravitational entropy. We end with a brief discussion of the theoretical appropriateness to view the physical universe as an open system.
Time as a parameter of statistical ensemble
Sergei Viznyuk
2011-11-26T23:59:59.000Z
The notion of time is derived as a parameter of statistical ensemble representing the underlying system. Varying population numbers of microstates in statistical ensemble result in different expectation values corresponding to different times. We show a single parameter which equates to the notion of time is logarithm of the total number of microstates in statistical ensemble. We discuss the implications of proposed model for some topics of modern physics: Poincar\\'e recurrence theorem vs. Second Law of Thermodynamics, matter vs. anti-matter asymmetry of the universe, expansion of the universe, Big Bang.
Spin - or, actually: Spin and Quantum Statistics
Juerg Froehlich
2008-02-29T23:59:59.000Z
The history of the discovery of electron spin and the Pauli principle and the mathematics of spin and quantum statistics are reviewed. Pauli's theory of the spinning electron and some of its many applications in mathematics and physics are considered in more detail. The role of the fact that the tree-level gyromagnetic factor of the electron has the value g = 2 in an analysis of stability (and instability) of matter in arbitrary external magnetic fields is highlighted. Radiative corrections and precision measurements of g are reviewed. The general connection between spin and statistics, the CPT theorem and the theory of braid statistics are described.
On Characterization of Two-Sample U-Statistics
Schechtman, Gideon
On Characterization of Two-Sample U-Statistics E. Schechtman #3; Department of Industrial@wisdom.weizmann.ac.il Abstract A veri#12;able condition for a symmetric statistic to be a two-sample U-statistic is given. As an illustration, we characterize which linear rank statistics with two-sample regression constants are U-statistics
FISHERY STATISTICS I OF THE UNITED STATESmmmMM
^^ FISHERY STATISTICS I OF THE UNITED STATESmmmMM 'f^ gjIP^Ws^WI'l STATISTICAL DIGEST NO. 25 Fish Statistical Digest 25 FISHERY STATISTICS OF THE UNITED STATES 1949 BY A. W. ANDERSON and C. E. PETERSON UNITED. Government Printing Office, Washington 25, D. C. - - - Price $1.25 (paper) #12;Fishery Statistics
STATISTICS MAJOR REQUIREMENTS: ADVISEMENT FORM BACHELOR OF SCIENCE DEGREE
Suri, Manil
STATISTICS MAJOR REQUIREMENTS: ADVISEMENT FORM BACHELOR OF SCIENCE DEGREE APPLIED STATISTICS TRACK STAT 350 Statistics with Applications in the Biological Sciences OR STAT 351 Applied Statistics for Business and Economics OR STAT 355 Introduction to Probability and Statistics for Scientists and Engineers
15.075 Applied Statistics, Spring 2003
Newton, Elizabeth
This course is an introduction to applied statistics and data analysis. Topics include collecting and exploring data, basic inference, simple and multiple linear regression, analysis of variance, nonparametric methods, and ...
Problems on Non-Equilibrium Statistical Physics
Kim, Moochan
2011-08-08T23:59:59.000Z
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 ...
Springer Series in Statistics Trevor Hastie
Tibshirani, Robeert
of Statistical Learning Data Mining,Inference,and Prediction Second Edition #12;This is page v Printer: Opaque. Additive Models, Trees, and Related Methods 10. Boosting and Additive Trees New example from ecology; some
Model Risk in Finance Department of Statistics
Stine, Robert A.
worth taking Statistical issues Multiplicity Transformations to obtain "independence" Orthogonality Year Valueof$100Investment Case-Shiller Housing Total Stock Market 3 #12;Wharton default Correlation risk Regulatory risk Reputation risk Operational risk Systemic risk, market risk
Statistical criteria for characterizing irradiance time series.
Stein, Joshua S.; Ellis, Abraham; Hansen, Clifford W.
2010-10-01T23:59:59.000Z
We propose and examine several statistical criteria for characterizing time series of solar irradiance. Time series of irradiance are used in analyses that seek to quantify the performance of photovoltaic (PV) power systems over time. Time series of irradiance are either measured or are simulated using models. Simulations of irradiance are often calibrated to or generated from statistics for observed irradiance and simulations are validated by comparing the simulation output to the observed irradiance. Criteria used in this comparison should derive from the context of the analyses in which the simulated irradiance is to be used. We examine three statistics that characterize time series and their use as criteria for comparing time series. We demonstrate these statistics using observed irradiance data recorded in August 2007 in Las Vegas, Nevada, and in June 2009 in Albuquerque, New Mexico.
Interdisciplinary Mathematics/Statistics Actuarial Science Sample ...
Interdisciplinary Mathematics/Statistics Actuarial Science Sample Plan 2 . 1 MA 161 (4-5) MA/S T 170 ENGL 101 Lab Science Language or 165, 173, 181, 271 ...
Multivariate Statistical Analysis of Assembly Tolerance Specifications
i Multivariate Statistical Analysis of Assembly Tolerance Specifications A Thesis Presented ..........................................................................................................12 2.6.1 Multivariate Normal Distributions.8.3 Combined Assembly Specification Quality...............................................22 2.9 Multivariate
Understanding Manufacturing Energy Use Through Statistical Analysis
Kissock, J. K.; Seryak, J.
2004-01-01T23:59:59.000Z
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...
Statistical Models for Next Generation Sequencing Data
Wang, Yiyi
2013-04-01T23:59:59.000Z
prior indexed by distances from Gene Ontology (GO). The use of the external biological information yields improvements in statistical power over the original Bayesian discovery procedure. The third model addresses the problem of identifying protein...
Photon statistics dispersion in excitonic composites
G. Ya. Slepyan; S. A. Maksimenko
2006-05-22T23:59:59.000Z
Linear media are predicted to exist whose relative permiability is an operator in the space of quantum states of light. Such media are characterized by a photon statistics--dependent refractive index. This indicates a new type of optical dispersion -- the photon statistics dispersion. Interaction of quantum light with such media modifies the photon number distribution and, in particular, the degree of coherence of light. An excitonic composite -- a collection of noninteracting quantum dots -- is considered as a realization of the medium with the photon statistics dispersion. Expressions are derived for generalized plane waves in an excitonic composite and input--output relations for a planar layer of the material. Transformation rules for different photon initial states are analyzed. Utilization of the photon statistics dispersion in potential quantum--optical devices is discussed.
Generalized binomial distribution in photon statistics
Aleksey Ilyin
2014-11-20T23:59:59.000Z
The photon-number distribution between two parts of a given volume is found for an arbitrary photon statistics. This problem is related to the interaction of a light beam with a macroscopic device, for example a diaphragm, that separates the photon flux into two parts with known probabilities. To solve this problem, a Generalized Binomial Distribution (GBD) is derived that is applicable to an arbitrary photon statistics satisfying probability convolution equations. It is shown that if photons obey Poisson statistics then the GBD is reduced to the ordinary binomial distribution, whereas in the case of Bose-Einstein statistics the GBD is reduced to the Polya distribution. In this case, the photon spatial distribution depends on the phase-space volume occupied by the photons. This result involves a photon bunching effect, or collective behavior of photons that sharply differs from the behavior of classical particles. It is shown that the photon bunching effect looks similar to the quantum interference effect.
Statistical analysis of correlated fossil fuel securities
Li, Derek Z
2011-01-01T23:59:59.000Z
Forecasting the future prices or returns of a security is extraordinarily difficult if not impossible. However, statistical analysis of a basket of highly correlated securities offering a cross-sectional representation of ...
Parameterization and Statistical Analysis of Hurricane Waves
Mclaughlin, Patrick William
2014-05-03T23:59:59.000Z
the JPM-OS methodology yielded extreme value statistics for 179 stations of interest. Maps detailing the spatial extents of the 100 and 1000 year maximum wave event were created using ArcGIS....
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)...
Interactive Database Access with Statistics and Graphics
Princeton Plasma Physics Laboratory
DbAccess The Manual Interactive Database Access with Statistics and Graphics Version 2.1.1 D. M ................................................................................................ 4 IV. SELECTING DATA FROM THE DATABASE ............................................................................................ 29 XI. WORKING WITH A DIFFERENT DATABASE
Statistical mechanics of a cat's cradle
Shen, Tongye; Wolynes, Peter G
2006-01-01T23:59:59.000Z
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
Statistical Sciences Group, Los Alamos National Laboratory,
Wolfe, Patrick J.
Luke Bornn CCS-6, Statistical Sciences Group, Los Alamos National Laboratory, MS F600, Los Alamos Institute, Los Alamos National Laboratory, MS T006, Los Alamos, NM 87545 Structural Health Monitoring
Generalized binomial distribution in photon statistics
Aleksey V. Ilyin
2015-05-28T23:59:59.000Z
The photon-number distribution between two parts of a given volume is found for an arbitrary photon statistics. This problem is related to the interaction of a light beam with a macroscopic device, for example a diaphragm, that separates the photon flux into two parts with known probabilities. To solve this problem, a Generalized Binomial Distribution (GBD) is derived that is applicable to an arbitrary photon statistics satisfying probability convolution equations. It is shown that if photons obey Poisson statistics then the GBD is reduced to the ordinary binomial distribution, whereas in the case of Bose-Einstein statistics the GBD is reduced to the Polya distribution. In this case, the photon spatial distribution depends on the phase-space volume occupied by the photons. This result involves a photon bunching effect, or collective behavior of photons that sharply differs from the behavior of classical particles. It is shown that the photon bunching effect looks similar to the quantum interference effect.
Industrial Ventilation Statistics Confirm Energy Savings Opportunity
Litomisky, A.
2006-01-01T23:59:59.000Z
INDUSTRIAL VENTILATION STATISTICS CONFIRM ENERGY SAVINGS OPPORTUNITY Ales Litomisky, President, Ecogate, Inc., Glendale, California This is a statistical analysis of workstation activity in the industrial ventilation industry (most data.... Vital Numbers: 28 ventilation systems (19 from USA, 8 from Europe, 1 from Canada), a total of 622 workstations monitored over 542 months represent over 4.8 million data records collected and analyzed. Data published in this report is unknown...
Statistical Mechanics of Two-dimensional Foams
Marc Durand
2010-09-07T23:59:59.000Z
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.
Twisted Statistics in kappa-Minkowski Spacetime
T. R. Govindarajan; Kumar S. Gupta; E. Harikumar; S. Meljanac; D. Meljanac
2008-03-10T23:59:59.000Z
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.
Indian Agricultural Statistics Research Institute (Indian Council of Agricultural Research)
Rodriguez, Carlos
#12;Indian Agricultural Statistics Research Institute (Indian Council of Agricultural Research, Indian Agricultural Statistics Research Institute (ICAR), Library Avenue, Pusa, New Delhi-110012 : July 2011 All Rights Reserved 2011, Indian Agricultural Statistics Research Institute (ICAR), New Delhi
"!#$%&'$(0)132"45)(06)7 Mathematics -Math Education -Statistics
Maxwell, Bruce D.
of the American Statistical Association Marty Hamilton · President's Excellence in Teaching Award Ted Hodgson · Montana Chapter of the American Statistical Association Marty Hamilton - Vice President Sherry Heis ¢¡¤£¦¥¨§©¡© "!#¥$©%&¡'¥$©(0)1¥32"45)¤(0¡6)¤¡¤7 Mathematics - Math Education - Statistics MSU
STANLEY WARNER'S CONTRIBUTIONS TO STATISTICALLY BALANCED INFORMATION TECHNOLOGY
Federation? 3. Should the American Statistical Association adopt a program to certify statisticians? 4 Statistical Association, Stanley Warner first presented the issue of measuring the impact of advocacySTANLEY WARNER'S CONTRIBUTIONS TO STATISTICALLY BALANCED INFORMATION TECHNOLOGY Stephen E. Fienberg
Calibration in High-Energy Astrophysics Statistical Methods
van Dyk, David
Calibration in High-Energy Astrophysics Statistical Methods Statistical Computation Empirical Illustrations Accounting for Calibration Uncertainty: High Energy Astrophysics and the PCG Sampler David A. van Dyk Accounting for Calibration Uncertainty #12;Calibration in High-Energy Astrophysics Statistical
OpenIntro Statistics: an Open-source Textbook
Cetinkaya-Rundel, Mine; Diez, David M; Barr, Christopher D
2013-01-01T23:59:59.000Z
OpenIntro Statistics: an open-source textbook 1.0to teaching introductory statistics. Section 2 also touchesIntroductory courses in statistics, the type that require no
Statistical Models for Images: Compression, Restoration and Synthesis
Simoncelli, Eero
/or nonlinear transfor mations, into statistically independent components. The classical approach, and the Sloan Center for Theoretical Neurobiology at NYU. 1. Wavelet Marginal Statistical Model Recently, multiStatistical Models for Images: Compression, Restoration and Synthesis Eero P. Simoncelli Center
Estimating Wireless Network Properties with Spatial Statistics and Models
Paris-Sud XI, Université de
Estimating Wireless Network Properties with Spatial Statistics and Models Janne Riihij statistics and models for different estimation problems related to wireless networks. We focus specifically wireless networks. We provide a concise survey of existing techniques from the spatial statistics
Nonparametric Comparison of Densities Based on Statistical Bootstrap
Nonparametric Comparison of Densities Based on Statistical Bootstrap De Brabanter, K.1 , Sahhaf, S. Keywords: Statistical Bootstrap, Variance Stabilization, Least Squares Support Vector Machines, Hypothesis on statistical bootstrap with variance stabilization and a nonparametric kernel density estimator, assisting
Equi-energy sampler with applications in statistical inference and statistical mechanics
S. C. Kou; Qing Zhou; Wing Hung Wong
2006-11-08T23:59:59.000Z
We introduce a new sampling algorithm, the equi-energy sampler, for efficient statistical sampling and estimation. Complementary to the widely used temperature-domain methods, the equi-energy sampler, utilizing the temperature--energy duality, targets the energy directly. The focus on the energy function not only facilitates efficient sampling, but also provides a powerful means for statistical estimation, for example, the calculation of the density of states and microcanonical averages in statistical mechanics. The equi-energy sampler is applied to a variety of problems, including exponential regression in statistics, motif sampling in computational biology and protein folding in biophysics.
Independence of some polynomial statistics and of the sample mean
2005-01-07T23:59:59.000Z
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
STATISTICAL MECHANICS MODELING OF MESOSCALE DEFORMATION IN METALS...
Office of Scientific and Technical Information (OSTI)
Technical Report: STATISTICAL MECHANICS MODELING OF MESOSCALE DEFORMATION IN METALS Citation Details In-Document Search Title: STATISTICAL MECHANICS MODELING OF MESOSCALE...
Bell's fifth position is not supported by supermartingale statistics
J. F. Geurdes
2013-03-19T23:59:59.000Z
It is demonstrated that the supermartingale statistics approach of Gill to the CHSH contrast contains a physical (and statistical) unrealistic assumption.
Stochastically Lighting Up Galaxies: Statistical Implications of Stellar Clustering
da Silva, Robert Louis
2014-01-01T23:59:59.000Z
SANTA CRUZ STOCHASTICALLY LIGHTING UP GALAXIES: STATISTICAL2 SLUG - Stochastically Lighting Up Galaxies: Methods andx Abstract Stochastically Lighting Up Galaxies: Statistical
Learning Statistics Using Motivational Videos, Real Data and Free Software
Harraway, John A
2012-01-01T23:59:59.000Z
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://
User Statistics Collection Practices Archives | U.S. DOE Office...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Policies and Processes User Statistics Collection Practices User Statistics Collection Practices Archives User Facilities User Facilities Home User Facilities at a Glance...
Fact #602: December 21, 2009 Freight Statistics by Mode, 2007...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
2: December 21, 2009 Freight Statistics by Mode, 2007 Commodity Flow Survey Fact 602: December 21, 2009 Freight Statistics by Mode, 2007 Commodity Flow Survey Results from the...
Statistical Design, Analysis and Graphics for the Guadalupe
Statistical Design, Analysis and Graphics for the Guadalupe River Assessment Technical Memoranda Science Center (2013). Statistical Design, Analysis and Graphics for the Guadalupe River Assessment...................................................................................................... 7 Study Design
Statistics Show Bearing Problems Cause the Majority of Wind Turbine...
Office of Environmental Management (EM)
Statistics Show Bearing Problems Cause the Majority of Wind Turbine Gearbox Failures Statistics Show Bearing Problems Cause the Majority of Wind Turbine Gearbox Failures September...
Local asymptotic normality in quantum statistics
Madalin Guta; Anna Jencova
2007-05-24T23:59:59.000Z
The theory of local asymptotic normality for quantum statistical experiments is developed in the spirit of the classical result from mathematical statistics due to Le Cam. Roughly speaking, local asymptotic normality means that the family varphi_{\\theta_{0}+ u/\\sqrt{n}}^{n} consisting of joint states of n identically prepared quantum systems approaches in a statistical sense a family of Gaussian state phi_{u} of an algebra of canonical commutation relations. The convergence holds for all "local parameters" u\\in R^{m} such that theta=theta_{0}+ u/sqrt{n} parametrizes a neighborhood of a fixed point theta_{0}\\in Theta\\subset R^{m}. In order to prove the result we define weak and strong convergence of quantum statistical experiments which extend to the asymptotic framework the notion of quantum sufficiency introduces by Petz. Along the way we introduce the concept of canonical state of a statistical experiment, and investigate the relation between the two notions of convergence. For reader's convenience and completeness we review the relevant results of the classical as well as the quantum theory.
Semi-Poisson statistics in quantum chaos
Antonio M. Garcia-Garcia; Jiao Wang
2006-05-01T23:59:59.000Z
We investigate the quantum properties of a non-random Hamiltonian with a step-like singularity. It is shown that the eigenfunctions are multifractals and, in a certain range of parameters, the level statistics is described exactly by Semi-Poisson statistics (SP) typical of pseudo-integrable systems. It is also shown that our results are universal; namely, they depend exclusively on the presence of the step-like singularity and are not modified by smooth perturbations of the potential or the addition of a magnetic flux. Although the quantum properties of our system are similar to those of a disordered conductor at the Anderson transition, we report important quantitative differences in both the level statistics and the multifractal dimensions controlling the transition. Finally the study of quantum transport properties suggests that the classical singularity induces quantum anomalous diffusion. We discuss how these findings may be experimentally corroborated by using ultra cold atoms techniques.
Spin-statistics violations in superstring theory
Jackson, Mark G. [Particle Astrophysics Center and Theory Group, Fermi National Accelerator Laboratory, Batavia, Illinois 60510 (United States)
2008-12-15T23:59:59.000Z
I describe how superstring theory may violate spin statistics in an experimentally observable manner. Reviewing the basics of superstring interactions and how to utilize these to produce a statistical phase, I then apply these ideas to two specific examples. The first is the case of heterotic world sheet linkings, whereby one small closed string momentarily enlarges sufficiently to pass over another, producing such a statistical phase. The second is the braneworld model with noncommutative geometry, whereby matter composed of open strings may couple to a background in which spacetime coordinates do not commute, modifying the field (anti)commutator algebra. I conclude with ways to sharpen and experimentally test these exciting avenues to possibly verify superstring theory.
Agile manufacturing from a statistical perspective
Easterling, R.G. [Sandia National Labs., Albuquerque, NM (United States). New Initiatives Dept.
1995-10-01T23:59:59.000Z
The objective of agile manufacturing is to provide the ability to quickly realize high-quality, highly-customized, in-demand products at a cost commensurate with mass production. More broadly, agility in manufacturing, or any other endeavor, is defined as change-proficiency; the ability to thrive in an environment of unpredictable change. This report discusses the general direction of the agile manufacturing initiative, including research programs at the National Institute of Standards and Technology (NIST), the Department of Energy, and other government agencies, but focuses on agile manufacturing from a statistical perspective. The role of statistics can be important because agile manufacturing requires the collection and communication of process characterization and capability information, much of which will be data-based. The statistical community should initiate collaborative work in this important area.
Spin-Statistics Violations in Superstring Theory
Mark G. Jackson
2008-12-30T23:59:59.000Z
I describe how superstring theory may violate spin-statistics in an experimentally observable manner. Reviewing the basics of superstring interactions and how to utilize these to produce a statistical phase, I then apply these ideas to two specific examples. The first is the case of heterotic 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.
Astrophysical Thermonuclear Functions for Boltzmann-Gibbs Statistics and Tsallis Statistics
R. K. Saxena; A. M. Mathai; H. J. Haubold
2004-06-22T23:59:59.000Z
We present an analytic proof of the integrals for astrophysical thermonuclear functions which are derived on the basis of Boltzmann-Gibbs statistical mechanics. Among the four different cases of astrophysical thermonuclear functions, those with a depleted high-energy tail and a cut-off at high energies find a natural interpretation in q-statistics.
STATISTICS and PROBABILITY Statistics is the science and practice of developing
Bolch, Tobias
to understand measurement systems variability, control processes (as #12;in statistical process control or SPC and uncertainty. Origin The word statistics comes from - the modern Latin phrase statisticum collegium (lecture whatever we can observe. This requires us to - plan our observations to control their variability
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
On the explanation for quantum statistics
Simon Saunders
2005-11-15T23:59:59.000Z
The concept of classical indistinguishability is analyzed and defended against a number of well-known criticisms, with particular attention to the Gibbs' paradox. Granted that it is as much at home in classical as in quantum statistical mechanics, the question arises as to why indistinguishability, in quantum mechanics but not in classical mechanics, forces a change in statistics. The answer, illustrated with simple examples, is that the equilibrium measure on classical phase space is continuous, whilst on Hilbert space it is discrete. The relevance of names, or equivalently, properties stable in time that can be used as names, is also discussed.
Spectral statistics of nearly unidirectional quantum graphs
Maram Akila; Boris Gutkin
2015-03-04T23:59:59.000Z
The energy levels of a quantum graph with time reversal symmetry and unidirectional classical dynamics are doubly degenerate and obey the spectral statistics of the Gaussian Unitary Ensemble. These degeneracies, however, are lifted when the unidirectionality is broken in one of the graph's vertices by a singular perturbation. Based on a Random Matrix model we derive an analytic expression for the nearest neighbour distribution between energy levels of such systems. As we demonstrate the result agrees excellently with the actual statistics for graphs with a uniform distribution of eigenfunctions. Yet, it exhibits quite substantial deviations for classes of graphs which show strong scarring.
Spin, Statistics, and Reflections, II. Lorentz Invariance
Bernd Kuckert; Reinhard Lorenzen
2005-12-21T23:59:59.000Z
The analysis of the relation between modular P$_1$CT-symmetry -- a consequence of the Unruh effect -- and Pauli's spin-statistics relation is continued. The result in the predecessor to this article is extended to the Lorentz symmetric situation. A model $\\G_L$ of the universal covering $\\widetilde{L_+^\\uparrow}\\cong SL(2,\\complex)$ of the restricted Lorentz group $L_+^\\uparrow$ is modelled as a reflection group at the classical level. Based on this picture, a representation of $\\G_L$ is constructed from pairs of modular P$_1$CT-conjugations, and this representation can easily be verified to satisfy the spin-statistics relation.
On statistical methods of structure function extraction
S. N. Sevbitov; T. V. Shishkina; I. L. Solovtsov
2007-11-29T23:59:59.000Z
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.
Black Hole Thermodynamics and Statistical Mechanics
Steven Carlip
2008-07-28T23:59:59.000Z
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.