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Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Scaling Properties of Common Statistical Operators for Gridded Datasets  

E-Print Network [OSTI]

model that accounts for dataset size and structure can helpclimate model-origin. For these dataset geometries our modelfor simple analysis (e.g. dataset differencing). Dataset

Zender, C. S; Mangalam, H.

2007-01-01T23:59:59.000Z

2

A Dataset Search Engine for the Research Document Corpus  

E-Print Network [OSTI]

A Dataset Search Engine for the Research Document Corpus Meiyu Lu # , Srinivas Bangalore , Graham a proposed idea or system is to evaluate over a suitable dataset. However, to this date there have been no useful tools for researchers to understand which datasets have been used for what purpose, or in what

Cormode, Graham

3

A Dataset Search Engine for the Research Document Corpus  

E-Print Network [OSTI]

A Dataset Search Engine for the Research Document Corpus Meiyu Lu # , Srinivas Bangalore , Graham no useful tools for researchers to understand which datasets have been used for what purpose, or in what prior work. Instead, they have to manually browse through papers to find suitable datasets

Fisher, Kathleen

4

KDD 99 intrusion detection datasets, which are based on DARPA 98 dataset, provides labeled data for researchers  

E-Print Network [OSTI]

Abstract KDD 99 intrusion detection datasets, which are based on DARPA 98 dataset, provides labeled data for researchers working in the field of intrusion detection and is the only labeled dataset publicly available. Numerous researchers employed the datasets in KDD 99 intrusion detection datasets

Zincir-Heywood, Nur

5

Statistical Characteristics of Daily Precipitation: Comparisons of Gridded and Point Datasets  

E-Print Network [OSTI]

Statistical Characteristics of Daily Precipitation: Comparisons of Gridded and Point Datasets Gauge Dataset (URD) and those of its nearest (rain gauge) station. To further examine differences between the two datasets, return periods of daily precipitation were calculated over a region encompassing

Roy Chowdhury, Rinku

6

Statistical Assistant Research Data Centre, Queens University  

E-Print Network [OSTI]

JOB OFFER Statistical Assistant Research Data Centre, Queens University Position: Statistical Assistant at the RDC, Queens University Classification: Statistics Canada term part-time CR-04 Salary: $ 44, etc.) - Provide basic assistance on the use of the computer network and statistical software

Graham, Nick

7

|Research Focus Statistical decision theory and evolution  

E-Print Network [OSTI]

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

Maloney, Laurence T.

8

Page 1 TXCRDC Notes on Datasets Available in CRDCs Texas A&M University Census Research Data Center  

E-Print Network [OSTI]

Page 1 ­ TXCRDC ­ Notes on Datasets Available in CRDCs Texas A&M University Census Research Data Center Datasets Available in Census Research Data Centers Overview This document brings together short. They include: 1. Links to Detailed Information about Available Datasets 2. Quick Summary Listings of Available

Bermúdez, José Luis

9

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

E-Print Network [OSTI]

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

Gesbert, David

10

Review of Statistical Research Methods Training and Research  

E-Print Network [OSTI]

to their educational and research aims. The ANU has undergraduate and graduate-coursework degree programs in Statistics and Reporting 9 4. Classification of staff 10 5. Business Model of SCU 11 6. Related Initiatives located in the College of Business & Economics. Many other degree programs, including HDR programs

Chen, Ying

11

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

E-Print Network [OSTI]

A Parallel Statistical Learning Approach to the Prediction of Building Energy Consumption Based consumption of buildings based on historical performances is an important approach to achieve energy consumption plays an important role in the total energy consumption of end use. Energy efficiency in building

Paris-Sud XI, Université de

12

Statistical models and experimental designs for poultry research  

E-Print Network [OSTI]

STATISTICAL MODELS AND EXPERIMENTAL DESIGNS FOR POULTRY RESEARCH A Thesis by Submitted to the Graduate College of Texas ARM University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE May 1973 Major Subject...: Statistics STATISTICAL MODELS AND EXPERIMENTAL DESIGNS FOR POULTRY RESEARCH A Thesis by ANWAR ARMED ABDEL BAKY Approved as to sty1e snd content by: Head of Department Member mber Member Msy 1973 4 36 6 i 1 Statistical Models and Experimental...

Abdel Baky, Anwar Ahmed

1972-01-01T23:59:59.000Z

13

Python for Unified Research in Econometrics and Statistics Roseline Bilina  

E-Print Network [OSTI]

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

Boyer, Edmond

14

Research article Statistics usage by French academic libraries a  

E-Print Network [OSTI]

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

Boyer, Edmond

15

The UTIAS multi-robot cooperative localization and mapping dataset  

E-Print Network [OSTI]

The UTIAS multi-robot cooperative localization and mapping dataset The International Journal and mapping dataset collection for research and educational purposes. The dataset consists of nine sub-datasets in each sub-dataset is also provided. The dataset is available for download at http://asrl.utias.utoronto.ca/datasets

16

Distribution-sensitive learning for imbalanced datasets  

E-Print Network [OSTI]

Many real-world face and gesture datasets are by nature imbalanced across classes. Conventional statistical learning models (e.g., SVM, HMM, CRY), however, are sensitive to imbalanced datasets. In this paper we show how ...

Song, Yale

17

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

E-Print Network [OSTI]

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

Løw, Erik

18

A Statistical Selection Strategy for Normalization Procedures in LC-MS Proteomics Experiments through Dataset Dependent Ranking of Normalization Scaling Factors  

SciTech Connect (OSTI)

Quantification of LC-MS peak intensities assigned during peptide identification in a typical comparative proteomics experiment will deviate from run-to-run of the instrument due to both technical and biological variation. Thus, normalization of peak intensities across a LC-MS proteomics dataset is a fundamental step in pre-processing. However, the downstream analysis of LC-MS proteomics data can be dramatically affected by the normalization method selected . Current normalization procedures for LC-MS proteomics data are presented in the context of normalization values derived from subsets of the full collection of identified peptides. The distribution of these normalization values is unknown a priori. If they are not independent from the biological factors associated with the experiment the normalization process can introduce bias into the data, which will affect downstream statistical biomarker discovery. We present a novel approach to evaluate normalization strategies, where a normalization strategy includes the peptide selection component associated with the derivation of normalization values. Our approach evaluates the effect of normalization on the between-group variance structure in order to identify candidate normalization strategies that improve the structure of the data without introducing bias into the normalized peak intensities.

Webb-Robertson, Bobbie-Jo M.; Matzke, Melissa M.; Jacobs, Jon M.; Pounds, Joel G.; Waters, Katrina M.

2011-12-01T23:59:59.000Z

19

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

E-Print Network [OSTI]

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

Chen, S.; Li, N.

2006-01-01T23:59:59.000Z

20

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

E-Print Network [OSTI]

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

Qiu, Weigang

Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Texas Transportation Poll (TTP) Data Documentation The dataset and code book has been provided, so that researchers interested in conducting their own  

E-Print Network [OSTI]

Texas Transportation Poll (TTP) Data Documentation The dataset and code book) contains basic information about all the variables in the dataset. The second part been cleaned. The expanded weight has also been included in the dataset

22

Models Datasets  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment SurfacesResource Program PreliminaryA3,0StatementsMixingAssessing8 MayModels-Datasets

23

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

E-Print Network [OSTI]

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

Bandyopadhyay, Antar

24

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

E-Print Network [OSTI]

Research Brief The Commonwealth's Official Source for Population and Economic Statistics August 22 be brought up-to-date on the latest from the U.S. Census Bureau, including the release of the 2012 Economic data visualization is an important tool in the decision making process. In the Keynote Address, Lee Ann

Maroncelli, Mark

25

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

E-Print Network [OSTI]

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

Guiltinan, Mark

26

Advanced statistical methods for shortterm wind power forecasting Research proposal draft  

E-Print Network [OSTI]

a promising Monte­Carlo training scheme (Neal 1995) to data from the wind­energy industry, with some successAdvanced statistical methods for short­term wind power forecasting Research proposal draft Alex 1994), but more powerful nonlinear techniques have received little attention (MacKay 1995). In the wind­energy

Barnett, Alex

27

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

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

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

28

Fluxnet Synthesis Dataset Collaboration Infrastructure  

E-Print Network [OSTI]

Fluxnet Synthesis Dataset Collaboration Infrastructure DebUCB) The Fluxnet synthesis dataset originally compiled forhave been added and the dataset now contains over 920 site

Agarwal, Deborah A.

2009-01-01T23:59:59.000Z

29

Columbia Photographic Images and Photorealistic Computer Graphics Dataset  

E-Print Network [OSTI]

Columbia Photographic Images and Photorealistic Computer Graphics Dataset Tian-Tsong Ng, Shih Abstract Passive-blind image authentication is a new area of research. A suitable dataset. In response to the need for a new dataset, the Columbia Photographic Images and Photorealistic Computer

Chang, Shih-Fu

30

Fluxnet Synthesis Dataset Collaboration Infrastructure  

SciTech Connect (OSTI)

The Fluxnet synthesis dataset originally compiled for the La Thuile workshop contained approximately 600 site years. Since the workshop, several additional site years have been added and the dataset now contains over 920 site years from over 240 sites. A data refresh update is expected to increase those numbers in the next few months. The ancillary data describing the sites continues to evolve as well. There are on the order of 120 site contacts and 60proposals have been approved to use thedata. These proposals involve around 120 researchers. The size and complexity of the dataset and collaboration has led to a new approach to providing access to the data and collaboration support and the support team attended the workshop and worked closely with the attendees and the Fluxnet project office to define the requirements for the support infrastructure. As a result of this effort, a new website (http://www.fluxdata.org) has been created to provide access to the Fluxnet synthesis dataset. This new web site is based on a scientific data server which enables browsing of the data on-line, data download, and version tracking. We leverage database and data analysis tools such as OLAP data cubes and web reports to enable browser and Excel pivot table access to the data.

Agarwal, Deborah A.; Humphrey, Marty; van Ingen, Catharine; Beekwilder, Norm; Goode, Monte; Jackson, Keith; Rodriguez, Matt; Weber, Robin

2008-02-06T23:59:59.000Z

31

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

SciTech Connect (OSTI)

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

Not Available

1990-05-01T23:59:59.000Z

32

Introduction Real datasets with known classes  

E-Print Network [OSTI]

Introduction Real datasets with known classes Simulated datasets Real datasets without known 8, 2011 Christian Hennig Some thoughts on cluster benchmarking #12;Introduction Real datasets with known classes Simulated datasets Real datasets without known classes Benchmarking should not be ranking

Hennig, Christian

33

Comparison of Recent SnIa datasets  

E-Print Network [OSTI]

We rank the six latest Type Ia supernova (SnIa) datasets (Constitution (C), Union (U), ESSENCE (Davis) (E), Gold06 (G), SNLS 1yr (S) and SDSS-II (D)) in the context of the Chevalier-Polarski-Linder (CPL) parametrization $w(a)=w_0+w_1 (1-a)$, according to their Figure of Merit (FoM), their consistency with the cosmological constant ($\\Lambda$CDM), their consistency with standard rulers (Cosmic Microwave Background (CMB) and Baryon Acoustic Oscillations (BAO)) and their mutual consistency. We find a significant improvement of the FoM (defined as the inverse area of the 95.4% parameter contour) with the number of SnIa of these datasets ((C) highest FoM, (U), (G), (D), (E), (S) lowest FoM). Standard rulers (CMB+BAO) have a better FoM by about a factor of 3, compared to the highest FoM SnIa dataset (C). We also find that the ranking sequence based on consistency with $\\Lambda$CDM is identical with the corresponding ranking based on consistency with standard rulers ((S) most consistent, (D), (C), (E), (U), (G) least consistent). The ranking sequence of the datasets however changes when we consider the consistency with an expansion history corresponding to evolving dark energy $(w_0,w_1)=(-1.4,2)$ crossing the phantom divide line $w=-1$ (it is practically reversed to (G), (U), (E), (S), (D), (C)). The SALT2 and MLCS2k2 fitters are also compared and some peculiar features of the SDSS-II dataset when standardized with the MLCS2k2 fitter are pointed out. Finally, we construct a statistic to estimate the internal consistency of a collection of SnIa datasets. We find that even though there is good consistency among most samples taken from the above datasets, this consistency decreases significantly when the Gold06 (G) dataset is included in the sample.

J. C. Bueno Sanchez; S. Nesseris; L. Perivolaropoulos

2009-10-01T23:59:59.000Z

34

Shortle, J., Y. Zhang, J. Wang. 2010. Statistical characteristics of aircraft arrival tracks. To appear in Transportation Research Record. 1  

E-Print Network [OSTI]

or improving the existing level of safety. Several researchers have measured the statistical distributions of aircraft separations on arrival, both in terms of distance and time. References (3, 4, 5) measured using radar data (6, 7, 8) and multilateration data (9, 10, 11). Reference (12) uses multilateration

35

Rediscovering old datasets Paul Withers  

E-Print Network [OSTI]

Rediscovering old datasets Paul Withers Center for Space Physics, Boston University (withers if these data are accessible and useable #12;PVO · http://nssdc.gsfc.nasa.gov/nmc/datasetDisplay.d o://nssdc.gsfc.nasa.gov/nmc/datasetDisplay.do?id=PSPA-00141 · Tables of ionospheric profiles and other

Withers, Paul

36

RESEARCH ARTICLE Statistics of the surface temperature field of an air/water interface  

E-Print Network [OSTI]

is the coefficient of thermal expansion, m is the kinematic viscosity, a is the thermal diffusivity, DTRESEARCH ARTICLE Statistics of the surface temperature field of an air/water interface under air

Saylor, John R.

37

Archiving a Complex Dataset:: IST-3 - A case study  

E-Print Network [OSTI]

would include (but not be limited to) drug regulatory agencies, research governance organisations, lawyers and scientists wishing to analyse the data under appropriate data sharing licences. The trial datasets therefore had to be understood as a whole so...

Drever, Jonathan

2014-08-26T23:59:59.000Z

38

THE MILLION SONG DATASET Thierry Bertin-Mahieux, Daniel P.W. Ellis  

E-Print Network [OSTI]

THE MILLION SONG DATASET Thierry Bertin-Mahieux, Daniel P.W. Ellis Columbia University LabROSA, EE {brian, paul}@echonest.com ABSTRACT We introduce the Million Song Dataset, a freely-available collection research dataset in our field. As an illustra- tion, we present year prediction as an example application

Ellis, Dan

39

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

E-Print Network [OSTI]

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

Nagurney, Anna

40

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

SciTech Connect (OSTI)

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

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

2013-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

ITCS 4121/5121 Contest Assignment 1 Datasets: Select one dataset I provided for HW 1 as your target dataset.  

E-Print Network [OSTI]

ITCS 4121/5121 Contest Assignment 1 Datasets: Select one dataset I provided for HW 1 as your target dataset. Visualization: The four datasets are closely related to our daily life. What to you want to do with your target dataset? Try to find one or more tasks. For example, you may want to find the best cereal

Yang, Jing

42

STATISTICAL METHODS STATISTICAL METHODS  

E-Print Network [OSTI]

STATISTICAL METHODS 1 STATISTICAL METHODS Arnaud Delorme, Swartz Center for Computational@salk.edu. Keywords: statistical methods, inference, models, clinical, software, bootstrap, resampling, PCA, ICA Abstract: Statistics represents that body of methods by which characteristics of a population are inferred

Delorme, Arnaud

43

A survey of results on mobile phone datasets analysis  

E-Print Network [OSTI]

In this paper, we review some advances made recently in the study of mobile phone datasets. This area of research has emerged a decade ago, with the increasing availability of large-scale anonymized datasets, and has grown into a stand-alone topic. We will survey the contributions made so far on the social networks that can be constructed with such data, the study of personal mobility, geographical partitioning, urban planning, and help towards development as well as security and privacy issues.

Blondel, Vincent D; Krings, Gautier

2015-01-01T23:59:59.000Z

44

A new bed elevation dataset for Greenland  

E-Print Network [OSTI]

A new bed elevation dataset for Greenland J. L. Bamber 1 ,al. : A new bed elevation dataset for Greenland Howat, I. M.al. : A new bed elevation dataset for Greenland Fig. 3. (a)

2013-01-01T23:59:59.000Z

45

Capturing Datasets ... is only the half of it!  

E-Print Network [OSTI]

that the project is merely a stepping stone in providing the ability to deliver their science. In the majority of cases the research continues from one grant to the next and therefore the datasets at any given time are merely snap shots of a lifelong commitment...

Simpson, Colin

2014-08-26T23:59:59.000Z

46

1 Calibration against independent human travel datasets  

E-Print Network [OSTI]

1 Calibration against independent human travel datasets 1.1 Calibration against United States at www.bts.gov. Although the BTS dataset is large, the movements were histogrammed 1 #12;with a low

Shull, Kenneth R.

47

European Climate Assessment & Dataset Report 2008  

E-Print Network [OSTI]

European Climate Assessment & Dataset Report 2008 ECA&D · · · · European Climate Assessment & Dataset (ECA&D) Report 2008 "Towards an operational system for assessing observed changes in climate & Dataset Report 2008 ECA&D · · · · Aryan van Engelen, Albert Klein Tank, Gerard van de Schrier and Lisette

Stoffelen, Ad

48

Integrated Datasets (IDs) Wood/Bretherton proposal  

E-Print Network [OSTI]

Integrated Datasets (IDs) Wood/Bretherton proposal ID Rationale Space/Time scale; Location; Platforms Parameters Combined Drizzle Dataset (CD ID) Collocated precipitation, aerosol and cloud micro, precip. rate, cloud Cross- Section Dataset (XS-ID) Data on E-W cross- section along 20°S from coast

Wood, Robert

49

Unbiased Look at Dataset Bias Antonio Torralba  

E-Print Network [OSTI]

Unbiased Look at Dataset Bias Antonio Torralba Massachusetts Institute of Technology torralba@csail.mit.edu Alexei A. Efros Carnegie Mellon University efros@cs.cmu.edu Abstract Datasets are an integral part and comparing performance of competing algo- rithms. At the same time, datasets have often been blamed

Guestrin, Carlos

50

Observational Datasets We use two different satellite soil moisture datasets, one derived from the Advanced Microwave  

E-Print Network [OSTI]

Observational Datasets We use two different satellite soil moisture datasets, one derived from of the datasets. Whilst the AMSRE soil moisture product is gridded at 0.25°, the footprint of the sensor different precipitation datasets which use a combination of satellite data and, in some cases, surface

Guichard, Francoise

51

Statistics Overall Statistics  

E-Print Network [OSTI]

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

Czarnecki, Krzysztof

52

Global Statistics  

E-Print Network [OSTI]

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

Crow, Ben D

2006-01-01T23:59:59.000Z

53

Statistical Sciences  

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

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

54

Statistical Laboratory & Department of Statistics  

E-Print Network [OSTI]

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

55

Fall 2012 focal follow FAD GPS dataset  

E-Print Network [OSTI]

Dataset includes 23 GPS files that describe fishing trips made by Dominican fishers to fish aggregating devices. Files are in RData file format....

Alvard, Michael

2014-06-11T23:59:59.000Z

56

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

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

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

57

Minfer: Inferring Motif Statistics From Sampled Edges  

E-Print Network [OSTI]

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

Wang, Pinghui; Towsley, Don

2015-01-01T23:59:59.000Z

58

Statistical identification  

E-Print Network [OSTI]

Statistical identification of critical, dependent and redundant articulators Veena D Singampalli of articulatory roles Evaluation by exhaustive search and trajectory generation Summary Statistical identification, Belgium #12;Statistical identification of critical, dependent and redundant articulators Veena D

Jackson, Philip JB

59

Statistical identification  

E-Print Network [OSTI]

Statistical identification of critical, dependent and redundant articulators Philip Jackson & Veena Statistical identification of critical, dependent and redundant articulators Philip Jackson & Veena Acoustics'08 Paris #12;Statistical identification of critical, dependent and redundant articulators Philip

Jackson, Philip JB

60

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

SciTech Connect (OSTI)

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

Somerville, Richard

2013-08-22T23:59:59.000Z

Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Synthetic Datasets Rong Huang, Rada Chirkova, Yahya Fathi  

E-Print Network [OSTI]

Synthetic Datasets Rong Huang, Rada Chirkova, Yahya Fathi 1 Introduction Datasets may be generated will define symmetric synthetic dataset and two types of non-symmetric synthetic datasets that has some introduce symmetric synthetic dataset, its structure and the properties of the associated views. In Section

Young, R. Michael

62

32. Statistics 1 32. STATISTICS  

E-Print Network [OSTI]

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

Masci, Frank

63

Tension and Systematics in the Gold06 SnIa Dataset  

E-Print Network [OSTI]

The Gold06 SnIa dataset recently released in astro-ph/0611572 consists of five distinct subsets defined by the group or instrument that discovered and analyzed the corresponding data. These subsets are: the SNLS subset (47 SnIa), the HST subset (30 SnIa), the HZSST subset (41 SnIa), the SCP subset (26 SnIa) and the Low Redshift (LR) subset (38 SnIa). These subsets sum up to the 182 SnIa of the Gold06 dataset. We use Monte-Carlo simulations to study the statistical consistency of each one of the above subsets with the full Gold06 dataset. In particular, we compare the best fit $w(z)$ parameters (w_0,w_1) obtained by subtracting each one of the above subsets from the Gold06 dataset (subset truncation), with the corresponding best fit parameters (w^r_0,w^r_1) obtained by subtracting the same number of randomly selected SnIa from the same redshift range of the Gold06 dataset (random truncation). We find that the probability for (w^r_0,w^r_1)=(w_0,w_1) is large for the Gold06 minus SCP (Gold06-SCP) truncation but is less than 5% for the Gold06-SNLS, Gold06-HZSST and Gold06-HST truncations. This result implies that the Gold06 dataset is not statistically homogeneous. By comparing the values of the best fit (w_0,w_1) for each subset truncation we find that the tension among subsets is such that the SNLS and HST subsets are statistically consistent with each other and `pull' towards LCDM (w_0=-1,w_1=0) while the HZSST subset is statistically distinct and strongly `pulls' towards a varying w(z) crossing the line $w=-1$ from below (w_00). We also isolate six SnIa that are mostly responsible for this behavior of the HZSST subset.

S. Nesseris; L. Perivolaropoulos

2007-01-09T23:59:59.000Z

64

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

E-Print Network [OSTI]

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

Chiang, Keng-Yen

2012-01-01T23:59:59.000Z

65

ITCS 4121/5121 Contest Assignment 1 Datasets: Four multiple datasets have been uploaded into the course Blackboard.  

E-Print Network [OSTI]

ITCS 4121/5121 Contest Assignment 1 Datasets: Four multiple datasets have been uploaded into the course Blackboard. Download the datasets and select one from them to be your target dataset. Visualization: The four datasets are closely related to our daily life. What to you want to do with your target

Yang, Jing

66

Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets  

E-Print Network [OSTI]

Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets Vadeerat spatial datasets. This capability is important for change analysis and contrast mining. In this paper spatial datasets by maximizing cluster interestingness and correspondence between clusters derived from

Eick, Christoph F.

67

To users of the Western Wind Dataset: We have run into some issues on the wind dataset. For many uses of the dataset  

E-Print Network [OSTI]

To users of the Western Wind Dataset: We have run into some issues on the wind dataset. For many uses of the dataset (general capacity factor comparisons, diurnal or seasonal profile comparisons, etc), these issues may not affect you. However, if you are using the dataset for an extensive wind integration study

68

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

E-Print Network [OSTI]

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

69

A new bed elevation dataset for Greenland  

E-Print Network [OSTI]

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

2013-01-01T23:59:59.000Z

70

Computational and statistical tradeoffs via convex relaxation  

E-Print Network [OSTI]

5, 2013 (sent for review November 27, 2012) Modern massive datasets create a fundamental problem on data analysis that blend computer science and statistics. That classical perspectives from these fields are not adequate to address emerging problems in "Big Data" is ap- parent from their sharply divergent nature

71

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

E-Print Network [OSTI]

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

Gutierrez, Thoralf; Blondel, Vincent D

2013-01-01T23:59:59.000Z

72

Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected In-the-Wild  

E-Print Network [OSTI]

Computer classification of facial expressions requires large amounts of data and this data needs to reflect the diversity of conditions seen in real applications. Public datasets help accelerate the progress of research ...

McDuff, Daniel Jonathan

73

Maximum Entropy in Support of Semantically Annotated Datasets  

E-Print Network [OSTI]

Maximum Entropy in Support of Semantically Annotated Datasets Paulo Pinheiro da Silva, Vladik whether two datasets describe the same quantity. The existing solution to this problem is to use these datasets' ontologies to deduce that these datasets indeed represent the same quantity. However, even when

Kreinovich, Vladik

74

Covariance Tapering for Likelihood Based Estimation in Large Spatial Datasets  

E-Print Network [OSTI]

Covariance Tapering for Likelihood Based Estimation in Large Spatial Datasets Cari Kaufman, Mark the likelihood can be computationally infeasible for large datasets, requiring O(n3) calculations for a dataset and Marshall, 1984). However, evaluating the likelihood requires order n3 operations for a dataset of size n

75

Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets  

E-Print Network [OSTI]

Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets Brandon M landmark datasets with different landmark definitions into a super dataset, with a union of all landmark known landmarks in the target dataset to constrain the localization. Our novel pipeline is built upon

Zhang, Li

76

Term statistics Zipf's law text statistics  

E-Print Network [OSTI]

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

Lu, Jianguo

77

A Dataset availability The ``public domain'' datasets are listed below with an anonymous ftp address. If you do  

E-Print Network [OSTI]

APPENDICES A Dataset availability The ``public domain'' datasets are listed below with an anonymous ftp address. If you do not have access to these, then you can obtain the datasets on diskette from Dr Porto, Potugal. The main source of datasets is ics.uci.edu (128.195.1.1) ­ the UCI Repository of Machine

Taylor, Charles C.

78

Governance of the NHD and WBD By design, and in practice, the National Hydrography Dataset and Watershed Boundary Dataset are  

E-Print Network [OSTI]

Dataset and Watershed Boundary Dataset are governed in a collaborative process consisting Agency jointly designed a hydrography feature dataset for nationwide use by all agencies in an effort number of stakeholders to ensure a "best fit" dataset that would meet as many needs as possible

Torgersen, Christian

79

MATCH: Metadata Access Tool for Climate and Health Datasets  

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

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

80

Rainbow statistics  

E-Print Network [OSTI]

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.

Michele Arzano; Dario Benedetti

2008-09-04T23:59:59.000Z

Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Engineering Statistics From "Engineering Statistics" , Top &  

E-Print Network [OSTI]

Engineering Statistics From "Engineering Statistics" , Top & Wiley, Prapaisri & Pongchanun 2 From "Engineering Statistics" , Top & Wiley, Prapaisri & Pongchanun 3 " "(Sample) (Sampling) ""(Population) " "(Statistics) ""(Parameter) From "Engineering Statistics" , Top & Wiley, Prapaisri

Kovintavewat, Piya

82

Migrating attributes tied to the EPA river reache file to the national hydrography dataset  

E-Print Network [OSTI]

The National Hydrography Dataset. Veisze, P. , K. Beardsley,the National Hydrography Dataset In cooperation with severalto California's hydrography dataset (a modified form of the

Moore, Cynthia L.; Mullins, James C.; Willett, Karen Beardsley; Quinn, James F.

1999-01-01T23:59:59.000Z

83

Bulk Data Movement for Climate Dataset: Efficient Data Transfer Management with Dynamic Transfer Adjustment  

E-Print Network [OSTI]

Data Movement for Climate Dataset: Efficient Data Transferbeen managing the massive dataset transfers efficiently withdistribution in climate dataset in Intergovernmental Panel

Sim, Alexander

2010-01-01T23:59:59.000Z

84

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

E-Print Network [OSTI]

targets within our RNAi dataset that may be components ofgenes within our FG dataset that are novel components ofa functional genomics dataset In this study, we examine the

Ho, Hsiang; Milenkovic, Tijana; Memisevic, Vesna; Aruri, Jayavani; Przulj, Natasa; Ganesan, Anand K

2010-01-01T23:59:59.000Z

85

Sensitivity of Steel Casting Simulation Results to Alloy Property Datasets  

E-Print Network [OSTI]

1 Sensitivity of Steel Casting Simulation Results to Alloy Property Datasets Kent D. Carlson dataset; Ni-based alloys N3M, CW6MC and CW12MW can be represented by the benchmark CW12MW dataset; and Ni-based alloys M30C and M35-1 can be represented by the benchmark M35-1 dataset. While these alloy groupings

Beckermann, Christoph

86

Covariance Tapering for Interpolation of Large Spatial Datasets  

E-Print Network [OSTI]

Covariance Tapering for Interpolation of Large Spatial Datasets Reinhard FURRER, Marc G. GENTON results. An application to a large climatological precipitation dataset is presented as a concrete-based methods make it possible to analyze and fit large spatial datasets in a high level Reinhard Furrer

Genton, Marc G.

87

RENOIR -A Benchmark Dataset for Real Noise Reduction Evaluation  

E-Print Network [OSTI]

1 RENOIR - A Benchmark Dataset for Real Noise Reduction Evaluation Josue Anaya, Adrian Barbu Abstract--In this paper we introduce a dataset of uncom- pressed color images taken with three digital and in intensity. The dataset contains over 100 scenes and more than 400 images, including both RAW formatted

Barbu, Adrian

88

Estimating Dataset Size Requirements for Classifying DNA Microarray Data  

E-Print Network [OSTI]

Estimating Dataset Size Requirements for Classifying DNA Microarray Data S. Mukherjee*+#1 , P methodology for estimating dataset size requirements for classifying microarray data using learning curves is introduced. The goal is to use existing classification results to estimate dataset size requirements

Poggio, Tomaso

89

Datasets for the Evaluation of Substitution-Tolerant Subgraph Isomorphism  

E-Print Network [OSTI]

Datasets for the Evaluation of Substitution-Tolerant Subgraph Isomorphism Pierre H´eroux LITIS EA datasets allowing to evaluate the performance of subgraph iso- morphism approaches in presence of noisy data. In this paper, we present three datasets that can be used to evaluate the performance

Paris-Sud XI, Université de

90

Dataset Issues in Object Recognition J. Ponce1,2  

E-Print Network [OSTI]

Dataset Issues in Object Recognition J. Ponce1,2 , T.L. Berg3 , M. Everingham4 , D.A. Forsyth1 , M of Edinburgh, Edinburgh, UK Abstract. Appropriate datasets are required at all stages of object recognition datasets are lacking in several respects, and this paper discusses some of the lessons learned from

Everingham, Mark

91

Updating the Tyrol tree-ring dataset , U. Bntgen1  

E-Print Network [OSTI]

Updating the Tyrol tree-ring dataset J. Esper1 , U. Büntgen1 , D. Frank1 , T. Pichler2 , K in palaeoclimatology The Tyrol dataset is a collection of 71 Picea abies ring width measurement series from the study area in Tyrol in the central Alps. We here describe efforts of updating this relevant dataset

Nicolussi, Kurt

92

Overcoming Dataset Bias: An Unsupervised Domain Adaptation Approach  

E-Print Network [OSTI]

Overcoming Dataset Bias: An Unsupervised Domain Adaptation Approach Boqing Gong Dept. of Computer that recognition datasets are biased. Paying no heed to those biases, learning algorithms often result in classifiers with poor cross- dataset generalization. We are developing domain adaptation techniques to over

Grauman, Kristen

93

How Sensitive is Processor Customization to the Workload's Input Datasets?  

E-Print Network [OSTI]

How Sensitive is Processor Customization to the Workload's Input Datasets? Maximilien Breughe Zheng though is to what extent processor customiza- tion is sensitive to the training workload's input datasets. Current practice is to consider a single or only a few input datasets per workload during the processor

Eeckhout, Lieven

94

Probing Metagenomics by Rapid Cluster Analysis of Very Large Datasets  

E-Print Network [OSTI]

Probing Metagenomics by Rapid Cluster Analysis of Very Large Datasets Weizhong Li1 , John C. Wooley PLoS Biol 5, e16). Such datasets, not only by their sheer size, but also by many other features, defy datasets by advanced clustering strategies using the newly modified CD-HIT algorithm. We performed

Weitz, Joshua S.

95

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

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

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

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

96

Exploring the Latest Union2 SNIa Dataset by Using Model-Independent Parametrization Methods  

E-Print Network [OSTI]

We explore the cosmological consequences of the recently released Union2 sample of 557 Type Ia supernovae (SNIa). Combining this latest SNIa dataset with the Cosmic microwave background (CMB) anisotropy data from the Wilkinson Microwave Anisotropy Probe 7 year (WMAP7) observations and the baryon acoustic oscillation (BAO) results from the Sloan Digital Sky Survey (SDSS) Data Release 7 (DR7), we measure the dark energy density function $f(z)\\equiv \\rho_{de}(z)/\\rho_{de}(0)$ as a free function of redshift. Two model-independent parametrization methods (the binned parametrization and the polynomial interpolation parametrization) are used in this paper. By using the $\\chi^2$ statistic and the Bayesian information criterion, we find that the current observational data are still too limited to distinguish which parametrization method is better, and a simple model has advantage in fitting observational data than a complicated model. Moreover, it is found that all these parametrizations demonstrate that the Union2 dataset is still consistent with a cosmological constant at 1$\\sigma$ confidence level. Therefore, the Union2 dataset is different from the Constitution SNIa dataset, which more favors a dynamical dark energy.

Shuang Wang; Xiao-Dong Li; Miao Li

2011-01-04T23:59:59.000Z

97

Biofuel Distribution Datasets from the Bioenergy Knowledge Discovery Framework  

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

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

98

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

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

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

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

99

Feedstock Production Datasets from the Bioenergy Knowledge Discovery Framework  

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

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

100

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

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

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

Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Statistics and the Sciences  

E-Print Network [OSTI]

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

Jan de Leeuw

2011-01-01T23:59:59.000Z

102

Form:Dataset | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has beenFfe2fb55-352f-473b-a2dd-50ae8b27f0a6Theoretical vsFlintFluxInput your dataset name below to add

103

Template:DatasetValue | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:Seadov Pty LtdSteen,Ltd Jump to:Taos County,TeesAtlasTabs JumpDatabusNav JumpDatasetValue

104

Does the Danube exist? Versions of reality given by various regional climate models and climatological datasets  

E-Print Network [OSTI]

We present an intercomparison and verification analysis of several regional climate models (RCMs) nested into the same run of the same Atmospheric Global Circulation Model (AGCM) regarding their representation of the statistical properties of the hydrological balance of the Danube river basin for 1961-1990. We also consider the datasets produced by the driving AGCM, from the ECMWF and NCEP-NCAR reanalyses. The hydrological balance is computed by integrating the precipitation and evaporation fields over the area of interest. Large discrepancies exist among RCMs for the monthly climatology as well as for the mean and variability of the annual balances, and only few datasets are consistent with the observed discharge values of the Danube at its Delta, even if the driving AGCM provides itself an excellent estimate. Since the considered approach relies on the mass conservation principle and bypasses the details of the air-land interface modeling, we propose that the atmospheric components of RCMs still face diffic...

Lucarini, V; Kriegerova, I; Speranza, A; Danihlik, Robert; Kriegerova, Ida; Lucarini, Valerio; Speranza, Antonio

2006-01-01T23:59:59.000Z

105

Spike statistics  

E-Print Network [OSTI]

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.

J. Mark Heinzle; Claes Uggla

2012-12-21T23:59:59.000Z

106

Statistical Sciences  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systemsBiSiteNeutron Scattering4 ByWatchingState ofDr. Donald6 Statistical

107

Framework for Interactive Parallel Dataset Analysis on the Grid  

SciTech Connect (OSTI)

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

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

2007-01-10T23:59:59.000Z

108

Statistical Digest No. 70 Fishery Statistics of  

E-Print Network [OSTI]

. These statistics include data on the volume and value of landed catches, employment, quantity of gear operatedStatistical Digest No. 70 Statistics of the United States 1976 Washington National Marine Fisheries Service #12;#12;Statistical Digest No. 70 Fishery Statistics of the United States

109

Visualization of Cosmological Particle-Based Datasets  

E-Print Network [OSTI]

We describe our visualization process for a particle-based simulation of the formation of the first stars and their impact on cosmic history. The dataset consists of several hundred time-steps of point simulation data, with each time-step containing approximately two million point particles. For each time-step, we interpolate the point data onto a regular grid using a method taken from the radiance estimate of photon mapping. We import the resulting regular grid representation into ParaView, with which we extract isosurfaces across multiple variables. Our images provide insights into the evolution of the early universe, tracing the cosmic transition from an initially homogeneous state to one of increasing complexity. Specifically, our visualizations capture the build-up of regions of ionized gas around the first stars, their evolution, and their complex interactions with the surrounding matter. These observations will guide the upcoming James Webb Space Telescope, the key astronomy mission of the next decade.

Paul Arthur Navrtil; Jarrett L. Johnson; Volker Bromm

2007-08-07T23:59:59.000Z

110

Purdue Agriculture Annual Statistical Report  

E-Print Network [OSTI]

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

111

Introduction Statistical Tests  

E-Print Network [OSTI]

Introduction Statistical Tests Experiment Summary Statistical Significance Testing Machine Learning Lab, ASU Surendra Singhi April 29, 2005 Surendra Singhi Statistical Significance Testing #12;Introduction Statistical Tests Experiment Summary Outline 1 Introduction Preliminary Stuff Sources of Variation

Liu, Huan

112

Creating a Global Humidity DatasetCreating a Global Humidity Dataset Progress with the Marine ComponentProgress with the Marine Component  

E-Print Network [OSTI]

Creating a Global Humidity DatasetCreating a Global Humidity Dataset ­­ Progress with the Marine PROJECT SUMMARY CLIMATOLOGIES Create a global gridded monthly mean dataset of surface vapour pressure, Exeter, UK ­ CASE sponsors ICOADS, NCDC ­ for providing the marine dataset Philip Brohan, Hadley Centre

Feigon, Brooke

113

Extended data analysis strategies for high resolution imaging MS: New methods to deal with extremely large image hyperspectral datasets  

E-Print Network [OSTI]

The large size of the hyperspectral datasets that are produced with modern mass spectrometric imaging techniques makes it difficult to analyze the results. Unsupervised statistical techniques are needed to extract relevant information from these datasets and reduce the data into a surveyable overview. Multivariate statistics are commonly used for this purpose. Computational power and computer memory limit the resolution at which the datasets can be analyzed with these techniques. We introduce the use of a data format capable of efficiently storing sparse datasets for multivariate analysis. This format is more memory-efficient and therefore it increases the possible resolution together with a decrease of computation time. Three multivariate techniques are compared for both sparse-type data and non-sparse data acquired in two different imaging ToF-SIMS experiments and one LDI-ToF imaging experiment. There is no significant qualitative difference in the use of different data formats for the same multivariate algorithms. All evaluated multivariate techniques could be applied on both SIMS and the LDI imaging datasets. Principal component analysis is shown to be the fastest choice; however a small increase of computation time using a VARIMAX optimization increases the decomposition quality significantly. PARAFAC analysis is shown to be very effective in separating different chemical components but the calculations take a significant amount of time, limiting its use as a routine technique. An effective visualization of the results of the multivariate analysis is as important for the analyst as the computational issues. For this reason, a new technique for visualization is presented, combining both spectral loadings and spatial

Leendert A. Klerk A; Er Broersen B; Ian W. Fletcher C

2006-01-01T23:59:59.000Z

114

Multivariate Protein Signatures of Pre-Clinical Alzheimer's Disease in the Alzheimer's Disease Neuroimaging Initiative (ADNI) Plasma Proteome Dataset  

E-Print Network [OSTI]

these samples. Following dataset pruning, 17 analytes passedwere incorporated back into the dataset for assessment ofADNI) Plasma Proteome Dataset Daniel Johnstone 1,2 ,

Johnstone, Daniel; Milward, Elizabeth A.; Berretta, Regina; Moscato, Pablo

2012-01-01T23:59:59.000Z

115

Development and evaluation of a thermodynamic dataset for phases of interest in CO2 mineral sequestration in basaltic rocks  

E-Print Network [OSTI]

evaluation of a thermodynamic dataset for phases of interestKeywords: Thermodynamic dataset CO2water basaltABSTRACT A thermodynamic dataset describing 36 mineral

Aradottir, E.S.P.

2013-01-01T23:59:59.000Z

116

Reconstructing thawing quintessence with multiple datasets  

E-Print Network [OSTI]

In this work we model the quintessence potential in a Taylor series expansion, up to second order, around the present-day value of the scalar field. The field is evolved in a thawing regime assuming zero initial velocity. We use the latest data from the Planck satellite, baryonic acoustic oscillations observations from the Sloan Digital Sky Survey, and Supernovae luminosity distance information from Union$2.1$ to constrain our models parameters, and also include perturbation growth data from WiggleZ. We show explicitly that the growth data does not perform as well as the other datasets in constraining the dark energy parameters we introduce. We also show that the constraints we obtain for our model parameters, when compared to previous works of nearly a decade ago, have not improved significantly. This is indicative of how little dark energy constraints, overall, have improved in the last decade, even when we add new growth of structure data to previous existent types of data.

Lima, Nelson A; Sahln, Martin; Parkinson, David

2015-01-01T23:59:59.000Z

117

Research  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories » RemovingResearch CORE-SHELL NANOPARTICLES AND

118

A Comparison of State-of-the-Art Technologies for Irreversible Compression of Large Medical Datasets  

E-Print Network [OSTI]

Datasets Alberto Signoroni, Mario Pezzoni, Claudia Tonoli and Riccardo Leonardi University of Brescia datasets, also keep- ing into account relevant features related to modern appli- cation requirements and infrastructures (PACS, teleradiology) involving large datasets. Reproducibility and possible extension

Signoroni, Alberto

119

Multiresolution Approaches to Representation and Visualization of Large Influenza Virus Sequence Datasets  

E-Print Network [OSTI]

Datasets Leonid Zaslavsky National Center for Biotechnology Information National Library of Medicine dataset is characterized by low estimated values of the Kolmogorov (box) dimension. Multi- scale methodologies allow interactive visual representation of the dataset and accelerate computations by importance

Levin, Judith G.

120

Exploring Cosmological Expansion Parametrizations with the Gold SnIa Dataset  

E-Print Network [OSTI]

We use the SnIa Gold dataset to compare LCDM with 10 representative parametrizations of the recent Hubble expansion history $H(z)$. For the comparison we use two statistical tests; the usual $\\chi_{min}^2$ which is insensitive to the parametrization number of parameters, and a statistic we call the p-test which depends on both the value of $\\chi_{min}^2$ and the number $n$ of the parametrization parameters. The p-test measures the confidence level to which the parameter values corresponding to LCDM are excluded from the viewpoint of the parametrization tested. For example, for a linear equation of state parametrization $w(z)=w_0 + w_1 z$ the LCDM parameter values ($w_0=-1$, $w_1=0$) are excluded at 75% confidence level. We use a flat prior and $\\Omega_{0m}=0.3$. All parametrizations tested are consistent with the Gold dataset at their best fit. According to both statistical tests, the worst fits among the 10 parametrizations, correspond to the Chaplygin gas, the brane world and the Cardassian parametrizations. The best fit is achieved by oscillating parametrizations which can exclude the parameter values corresponding to LCDM at 85% confidence level. Even though this level of significance does not provide a statistically significant exclusion of LCDM (it is less than $2\\sigma$) and does not by itself constitute conclusive evidence for oscillations in the cosmological expansion, when combined with similar independent recent evidence for oscillations coming from the CMB and matter power spectra it becomes an issue worth of further investigation.

R. Lazkoz; S. Nesseris; L. Perivolaropoulos

2005-11-10T23:59:59.000Z

Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Tension in the Recent Type Ia Supernovae Datasets  

E-Print Network [OSTI]

In the present work, we investigate the tension in the recent Type Ia supernovae (SNIa) datasets Constitution and Union. We show that they are in tension not only with the observations of the cosmic microwave background (CMB) anisotropy and the baryon acoustic oscillations (BAO), but also with other SNIa datasets such as Davis and SNLS. Then, we find the main sources responsible for the tension. Further, we make this more robust by employing the method of random truncation. Based on the results of this work, we suggest two truncated versions of the Union and Constitution datasets, namely the UnionT and ConstitutionT SNIa samples, whose behaviors are more regular.

Hao Wei

2010-04-07T23:59:59.000Z

122

E-Print Network 3.0 - association dataset methodological Sample...  

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

dataset methodological Search Powered by Explorit Topic List Advanced Search Sample search results for: association dataset methodological Page: << < 1 2 3 4 5 > >> 1 IOWA STATE...

123

GEOPHYSICAL RESEARCH LETTERS, VOL. 36, L10705, DOI:10.1029/2009GL037812, 2009 Nonequilibrium Statistical Mechanics of Tropical Sea Surface  

E-Print Network [OSTI]

GEOPHYSICAL RESEARCH LETTERS, VOL. 36, L10705, DOI:10.1029/2009GL037812, 2009 Nonequilibrium Variability, Geophys. Res. Lett., 36, L10705, doi:10.1029/2009GL037812. To view the published open abstract, go to http://dx.doi.org and enter the DOI. 0094-8276/09/2009GL037812$5.00 and Cohen, 1995; Evans

Weiss, Jeffrey B.

124

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

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

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

125

Determining Mountaintop Mining Locations in West Virginia Using Elevation Datasets  

E-Print Network [OSTI]

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

Rowland, Danny

2009-11-18T23:59:59.000Z

126

FISHERY STATISTICS UNITED STATES  

E-Print Network [OSTI]

FISHERY STATISTICS OF THE UNITED STATES 1973 STATISTICAL DIGEST NO. 67 Prepared by STATISTICS a review of the fishery statistics for the year 1973 . These statistics include data on the volume and value of landings of fishery products, employment 1n the fish- eries, quantity of gear operated, number

127

FISHERY STATISTICS UNITED STATES  

E-Print Network [OSTI]

FISHERY STATISTICS OF THE UNITED STATES 1971 STATISTICAL DIGEST NO. 65 Prepared by STATISTICS ry statistics for the year 1971 . These statistics include data on the volume and value of landings of fishery products, employment in the fishe ries, quantity of gear operated, number of fishing craft e

128

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

E-Print Network [OSTI]

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

McLachlan, Geoff

129

Statistical Abstract 2013  

E-Print Network [OSTI]

Kansas Statistical Abstract 2013 published exclusively online by Institute for Policy & Social,chapters,or the full Kansas Statistical Abstract are permitted on the condition that sources are cited. Kansas Statistical Abstract 2013 2 #12;Table of Contents Foreword

130

Statistical Laboratory established 1933  

E-Print Network [OSTI]

Statistical Laboratory established 1933 Biennial Report July 1, 1997 to June 30, 1999 #12;Index 50 years of statistics ....................... 1 Self study & external review .......... 2 Social sciences statistics ................ 3 On the lighter side........................... 6 Publications 1997

131

Statistics Major and Minor www.stat.pitt.edu  

E-Print Network [OSTI]

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

Jiang, Huiqiang

132

'g55wld0098.dat', Version 1.0, March 1999 1. The Dataset  

E-Print Network [OSTI]

1 'g55wld0098.dat', Version 1.0, March 1999 1. The Dataset: An historic monthly precipitation dataset for global land areas from 1900 to 1998, gridded at 5deg resolution (a 2.5 by 3.75deg resolution. Letts., 25, 3379-3382. The station dataset from which this gridded dataset has been constructed

Feigon, Brooke

133

RED: a Rich Epinions Dataset for Recommender Systems Simon Meyffret1,2  

E-Print Network [OSTI]

RED: a Rich Epinions Dataset for Recommender Systems Simon Meyffret1,2 , Emmanuel Guillot1}@liris.cnrs.fr ABSTRACT Recommender Systems require specific datasets to evaluate their approach. They do not require is not gathered in today datasets. In this paper, we provide a dataset containing reviews from users on items

Paris-Sud XI, Université de

134

A Comparison of Phylogenetic Reconstruction Methods on an IE Dataset Luay Nakhleh Tandy Warnow  

E-Print Network [OSTI]

A Comparison of Phylogenetic Reconstruction Methods on an IE Dataset Luay Nakhleh Tandy Warnow Dept the dataset, we study the consequences for phylogenetic reconstruction of restricting the data to lexical datasets that use only lexical characters being probably less accurate than analyses based upon datasets

Evans, Steven N.

135

The 30-year TAMSAT African Rainfall Climatology1 And Time-series (TARCAT) Dataset  

E-Print Network [OSTI]

Page 1 The 30-year TAMSAT African Rainfall Climatology1 And Time-series (TARCAT) Dataset 2 Authors 2 Key points1 Development of a satellite based 30 year rainfall dataset for Africa2 The dataset has been designed to be temporally consistency3 The dataset skilfully captures interannual

Allan, Richard P.

136

Exploring Constraints to Eciently Mine Emerging Patterns from Large High-dimensional Datasets  

E-Print Network [OSTI]

Exploring Constraints to E?ciently Mine Emerging Patterns from Large High-dimensional Datasets proposed recently to capture changes or di#11;erences between datasets: an EP is a multi- variate feature whose support increases sharply from a back- ground dataset to a target dataset, and the support ratio

Dong, Guozhu

137

To appear in Proc. KDD-97 A dataset decomposition approach to  

E-Print Network [OSTI]

To appear in Proc. KDD-97 A dataset decomposition approach to data mining and machine discovery to analyze a given dataset, the method decomposes it to a hierar- chy of smaller and less complex datasets allocation dataset, showing that the decom- position can (1) discover meaningful intermedi- ate concepts, (2

Bohanec, Marko

138

An air itinerary choice model based on a mixed RP/SP dataset  

E-Print Network [OSTI]

An air itinerary choice model based on a mixed RP/SP dataset Bilge Atasoy Michel Bierlaire April/SP dataset. The aim of the combination of the two datasets is to exploit the variability of the SP data is modeled as a latent class. In this study we develop an itinerary choice model based on a real dataset

Bierlaire, Michel

139

Processing Steps For Creating Standardized 5-Minute-by-Lane Datasets  

E-Print Network [OSTI]

1 Processing Steps For Creating Standardized 5-Minute-by-Lane Datasets (program code in "city measures. · Dataset DS1: Import original source data into SAS using INFILE statement. In SAS, we give this first dataset a "DS1" label (DataSet1). Most, if not all, original source data is submitted as ASCII

140

'gu23wld0098.dat', Version 1.0, March 1999 1. The Dataset  

E-Print Network [OSTI]

'gu23wld0098.dat', Version 1.0, March 1999 1. The Dataset An historical monthly precipitation dataset for global land areas from 1900 to 1998, gridded at 2.5° latitude by 3.75° longitude resolution (a. Letts., 25, 3379-3382. The station dataset from which this gridded dataset has been constructed

Feigon, Brooke

Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

On the Use of Perceptual Cues and Data Mining for Effective Visualization of Scientific Datasets  

E-Print Network [OSTI]

On the Use of Perceptual Cues and Data Mining for Effective Visualization of Scientific Datasets datasets are often difficult to analyse or visualize, due to their large size and high dimensionality. We areas of interest within the dataset. This allows us to reducea dataset's size and dimensionality

Healey, Christopher G.

142

Effects of the Training Dataset Characteristics on the Performance of Nine Species Distribution Models  

E-Print Network [OSTI]

Effects of the Training Dataset Characteristics on the Performance of Nine Species Distribution species need to be fitted to a training dataset before practical use. The training dataset of this paper is to study the effect of the training dataset characteristics on model performance and to compare

Kratochvíl, Lukas

143

The LIRIS Human activities dataset and the ICPR 2012 human activities recognition and localization competition  

E-Print Network [OSTI]

The LIRIS Human activities dataset and the ICPR 2012 human activities recognition and localization-69621, France March 28, 2012 Abstract We describe the LIRIS human activities dataset, the dataset used competitions and existing datasets, the tasks focus on complex human behavior involving several people

Wolf, Christian

144

Constraining the Mass Profiles of Stellar Systems: Schwarzschild Modeling of Discrete Velocity Datasets  

E-Print Network [OSTI]

(ABRIDGED) We present a new Schwarzschild orbit-superposition code designed to model discrete datasets composed of velocities of individual kinematic tracers in a dynamical system. This constitutes an extension of previous implementations that can only address continuous data in the form of (the moments of) velocity distributions, thus avoiding potentially important losses of information due to data binning. Furthermore, the code can handle any combination of available velocity components, i.e., only line-of-sight velocities, only proper motions, or a combination of both. It can also handle a combination of discrete and continuous data. The code finds the distribution function (DF, a function of the three integrals of motion E, Lz, and I3) that best reproduces the available kinematic and photometric observations in a given axisymmetric gravitational potential. The fully numerical approach ensures considerable freedom on the form of the DF f(E,Lz,I3). This allows a very general modeling of the orbital structure, thus avoiding restrictive assumptions about the degree of (an)isotropy of the orbits. We describe the implementation of the discrete code and present a series of tests of its performance based on the modeling of simulated datasets generated from a known DF. We find that the discrete Schwarzschild code recovers the original orbital structure, M/L ratios, and inclination of the input datasets to satisfactory accuracy, as quantified by various statistics. The code will be valuable, e.g., for modeling stellar motions in Galactic globular clusters, and those of individual stars, planetary nebulae, or globular clusters in nearby galaxies. This can shed new light on the total mass distributions of these systems, with central black holes and dark matter halos being of particular interest.

Julio Chanam; Jan Kleyna; Roeland van der Marel

2008-04-21T23:59:59.000Z

146

Department of Statistical Science  

E-Print Network [OSTI]

Joslin Diabetes Center LG Electronics Monsanto Risk Management Solutions Samsung Insurance (3) Statistics

Keinan, Alon

147

Pacific Northwest Region MAPS dataset retrospective analysis Project Title: USFS Region Six MAPS Dataset Re-analysis for the Development of Management  

E-Print Network [OSTI]

Pacific Northwest Region MAPS dataset ­ retrospective analysis Project Title: USFS Region Six MAPS Dataset Re-analysis for the Development of Management and Climate Change Support Tools for Landbird) demographic dataset may reveal how predicted patterns of climate-related forest fragmentation, pest outbreak

DeSante, David F.

148

Figure 1. The dataset for the running example is excerpted at left, arranged in the typical manner for MVPA. The boxes at right introduce the dataset  

E-Print Network [OSTI]

Figure 1. The dataset for the running example is excerpted at left, arranged in the typical manner for MVPA. The boxes at right introduce the dataset representation used in later figures. In these boxes the "dataset-wise" scheme, the examples are relabeled prior to conducting the cross- validation, while

149

Statistical estimation of water distribution system pipe break risk  

E-Print Network [OSTI]

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

Yamijala, Shridhar

2009-05-15T23:59:59.000Z

150

Statistical Science 2009, Vol. 24, No. 1, 1720  

E-Print Network [OSTI]

.1214/09-STS285 © Institute of Mathematical Statistics, 2009 Comment: Citation Statistics Sune Lehmann, Benny E) uncertainties to any given choice of M. Sune Lehmann is Postdoctoral Researcher, Center for Complex Network

Lautrup, Benny

151

Potential energy surface fitting by a statistically localized, permutationally invariant, local interpolating moving least squares method for the many-body potential: Method and application to N{sub 4}  

SciTech Connect (OSTI)

Fitting potential energy surfaces to analytic forms is an important first step for efficient molecular dynamics simulations. Here, we present an improved version of the local interpolating moving least squares method (L-IMLS) for such fitting. Our method has three key improvements. First, pairwise interactions are modeled separately from many-body interactions. Second, permutational invariance is incorporated in the basis functions, using permutationally invariant polynomials in Morse variables, and in the weight functions. Third, computational cost is reduced by statistical localization, in which we statistically correlate the cutoff radius with data point density. We motivate our discussion in this paper with a review of global and local least-squares-based fitting methods in one dimension. Then, we develop our method in six dimensions, and we note that it allows the analytic evaluation of gradients, a feature that is important for molecular dynamics. The approach, which we call statistically localized, permutationally invariant, local interpolating moving least squares fitting of the many-body potential (SL-PI-L-IMLS-MP, or, more simply, L-IMLS-G2), is used to fit a potential energy surface to an electronic structure dataset for N{sub 4}. We discuss its performance on the dataset and give directions for further research, including applications to trajectory calculations.

Bender, Jason D.; Doraiswamy, Sriram; Candler, Graham V., E-mail: truhlar@umn.edu, E-mail: candler@aem.umn.edu [Department of Aerospace Engineering and Mechanics, University of Minnesota, Minneapolis, Minnesota 55455 (United States); Truhlar, Donald G., E-mail: truhlar@umn.edu, E-mail: candler@aem.umn.edu [Department of Chemistry, Chemical Theory Center, and Supercomputing Institute, University of Minnesota, Minneapolis, Minnesota 55455 (United States)

2014-02-07T23:59:59.000Z

152

Bayesian evidence as a tool for comparing datasets  

E-Print Network [OSTI]

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

Phil Marshall; Nutan Rajguru; Anze Slosar

2007-10-30T23:59:59.000Z

153

Statistical analysis of large-scale structure in the Universe  

E-Print Network [OSTI]

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

Martin Kerscher

1999-12-15T23:59:59.000Z

154

Statistical inference in population genetics using microsatellites  

E-Print Network [OSTI]

Statistical inference from molecular population genetic data is currently a very active area of research for two main reasons. First, in the past two decades an enormous amount of molecular genetic data have been produced ...

Csillry, Katalin

2009-01-01T23:59:59.000Z

155

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

SciTech Connect (OSTI)

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

Caroline Draxl: NREL

2014-01-01T23:59:59.000Z

156

Introduction to statistical models and non-extensive statistics  

E-Print Network [OSTI]

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.

T. S. Biro

2005-07-27T23:59:59.000Z

157

Using Large Datasets to Forecast Sectoral Employment Rangan Gupta*  

E-Print Network [OSTI]

Using Large Datasets to Forecast Sectoral Employment Rangan Gupta* Department of Economics Bayesian and classical methods to forecast employment for eight sectors of the US economy. In addition-sample period and January 1990 to March 2009 as the out-of- sample horizon, we compare the forecast performance

Ahmad, Sajjad

158

A Polygon-based Methodology for Mining Related Spatial Datasets  

E-Print Network [OSTI]

, such as countries, and in that they can be used for the modeling of spatial events, such as air pollution. MoreoverA Polygon-based Methodology for Mining Related Spatial Datasets Sujing Wang, Chun-Sheng Chen clusters. This paper claims that polygon analysis is particularly useful for mining related, spatial

Eick, Christoph F.

159

Global Sediment Thickness Dataset updated for the Australian-Antarctic  

E-Print Network [OSTI]

Global Sediment Thickness Dataset updated for the Australian-Antarctic Southern Ocean Joanne author: jo.whittaker@utas.edu.au Key Points - Global minimum sediment thickness compilation updated for Australia Antarctica - Sediment thicknesses computed from seismic reflection and refraction data - Sediment

Müller, Dietmar

160

DECOMPOSITION OF MULTIVARIATE DATASETS WITH STRUCTURE/ORDERING  

E-Print Network [OSTI]

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

Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Eastern Renewable Generation Integration Study Solar Dataset (Presentation)  

SciTech Connect (OSTI)

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

Hummon, M.

2014-04-01T23:59:59.000Z

162

METROPOLITAN STATISTICAL AREA  

E-Print Network [OSTI]

METROPOLITAN STATISTICAL AREA OUTLOOK MORGANTOWN COLLEGE OF BUSINESS AND ECONOMICS Bureau to be repeated over the next five years. The Morgantown Metropolitan Statistical Area (MSA) had an average annual

Mohaghegh, Shahab

163

Interpreting Accident Statistics  

E-Print Network [OSTI]

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 ...

Ferreira, Joseph Jr.

164

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

SciTech Connect (OSTI)

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

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

2010-03-15T23:59:59.000Z

165

Pi in Statistics | GE Global Research  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - September 2006Photovoltaic Theory and Modeling LosPhysics LinksPhysisorptionSpying

166

Statistics Statistique Canada Canada  

E-Print Network [OSTI]

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

Sinnamon, Gordon J.

167

Statistical Parsing Inside Algorithm  

E-Print Network [OSTI]

Parsing · Review · Statistical Parsing · SCFG · Inside Algorithm · Outside Algorithm NLP statistical parsing 1 · Outside Algorithm · Viterbi Algorithm · Learning models · SCFG extensions · Other NLP statistical parsing 2 language and is often viewed as an important prerequisite for building

Ageno, Alicia

168

STATISTICAL DESCRIPTION OF THE  

E-Print Network [OSTI]

STATISTICAL DESCRIPTION OF THE CHIRIKOV-TAYLOR MODEL IN THE PRESENCE OF NOISE A. B. RECHESTER that the presence of noise makes the statistical description of this system unique. Theform of the diffusion, and statistical averaging, performed ana- lytically with thepath-integral method, are the same. Some

Karney, Charles

169

POSITION OPENING APPLIED STATISTICS  

E-Print Network [OSTI]

: Assistant or Associate Professor of Applied Statistics. Employment Beginning: September 16, 2012 DescriptionPOSITION OPENING APPLIED STATISTICS Department of Decision Sciences Charles H. Lundquist College at the University of Oregon is seeking to fill one tenure-track faculty position in Applied Statistics. Rank

Shepp, Larry

170

Learning Statistics Using Motivational Videos, Real Data and Free Software  

E-Print Network [OSTI]

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

Harraway, John A

2012-01-01T23:59:59.000Z

171

Statistical Scientist / Senior Statistical Scientist Biomathematics & Statistics Scotland (BioSS)  

E-Print Network [OSTI]

------------------------------------------------------------------------------- Statistical Scientist / Senior Statistical Scientist £26,610 Biomathematics & Statistics Scotland (BioSS) statistically minded, individual to help address the range of statistical, bioinformatics and modelling problems

Edinburgh, University of

172

Statistical Convergence and Convergence in Statistics  

E-Print Network [OSTI]

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.

Mark Burgin; Oktay Duman

2006-12-07T23:59:59.000Z

173

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

E-Print Network [OSTI]

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

Kroll, Jesse

174

Musculoskeletal simulation model generation from MRI datasets and motion capture data  

E-Print Network [OSTI]

Musculoskeletal simulation model generation from MRI datasets and motion capture data Jérôme Schmid

Paris-Sud XI, Université de

175

Genetic variation in the odorant receptors family 13 and the MHC loci influence mate selection in a Multiple Sclerosis dataset  

E-Print Network [OSTI]

S2. Validation on MHC results with the IMAGEN dataset.In the screening IMSGC dataset, the MHC region (663 SNPs)in a multiple sclerosis dataset. BMC Genomics 2010 11:626.

2010-01-01T23:59:59.000Z

176

Prognostic breast cancer signature identified from 3D culture model accurately predicts clinical outcome across independent datasets  

E-Print Network [OSTI]

for individual genes in the dataset of Wang, et al. usingfor individual genes in the dataset of Sorlie, et al. usingfor individual genes in the dataset of Wang, et al. using

Martin, Katherine J.

2008-01-01T23:59:59.000Z

177

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

E-Print Network [OSTI]

OF THE 100 BUILDING DATASET CA Erdmann 1 , KC Steiner 1 ,and Evaluation (BASE) dataset, higher workday time-averaged100-building 1994-1998 BASE dataset. Multivariate logistic

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

2002-01-01T23:59:59.000Z

178

Generalized Energy Statistics and Kostka-Macdonald Polynomials  

E-Print Network [OSTI]

RIMS-1704 Generalized Energy Statistics and Kostka-Macdonald Polynomials By Anatol N. KIRILLOV Statistics and Kostka­Macdonald Polynomials Anatol N. Kirillov1 and Reiho Sakamoto2 1 Research Institute of the modified Macdonald polynomial as a generating function of the energy statistics defined on the set of paths

179

RESEARCH STATEMENT Moulinath Banerjee  

E-Print Network [OSTI]

a brief description of my research activities since the start of my employment with the Statistics: statistical problems in which neither the standard n rate of convergence is achieved by estimators, nor statistics to make inference on a monotone function. In my dissertation, I established the existence

Banerjee, Moulinath

180

Attribute Preserving Dataset Simplification Jason D. Walter and Christopher G. Healey  

E-Print Network [OSTI]

Attribute Preserving Dataset Simplification Jason D. Walter and Christopher G. Healey Department of feature preserving mesh simplification to the problem of managing large, multidimensional datasets during scientific visualization. To allow this, we view a sci- entific dataset as a triangulated mesh of data

Healey, Christopher G.

Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

CVS-Vintage: A Dataset of 14 CVS Repositories of Java Software  

E-Print Network [OSTI]

CVS-Vintage: A Dataset of 14 CVS Repositories of Java Software Martin Monperrus and Matias Martinez INRIA Technical Report, 2012. Abstract This paper presents a dataset of 14 CVS repositories of Java applications. This dataset aims at supporting the replication of early papers in the field of software

Paris-Sud XI, Université de

182

LCAV-31: A Dataset for Light Field Object Recognition Alireza Ghasemi , Nelly Afonso and Martin Vetterli  

E-Print Network [OSTI]

LCAV-31: A Dataset for Light Field Object Recognition Alireza Ghasemi , Nelly Afonso and Martin present LCAV-31, a multi-view object recognition dataset designed specifically for benchmarking light field image analysis tasks. The principal distinctive factor of LCAV-31 compared to similar datasets

Vetterli, Martin

183

A tail strength measure for assessing the overall significance in a dataset  

E-Print Network [OSTI]

A tail strength measure for assessing the overall significance in a dataset Jonathan Taylor Robert, and illustrate its use on a number of real datasets. 1 Introduction Dave et al. (2004) published a study we would expect to see by chance. Perhaps this is why the Golub dataset has become the most common

Tibshirani, Robeert

184

COMP-598: Applied Machine Learning Mini-project #1: Building a new ML dataset  

E-Print Network [OSTI]

COMP-598: Applied Machine Learning Mini-project #1: Building a new ML dataset Due on September 23, 11:59pm. Background: The goal of this project is to collect a new machine learning dataset, and identify an interesting prediction question that can be tackled using this dataset (regression

Pineau, Joelle

185

EVITA: A Prototype System for Efficient Visualization and Interrogation of Terascale Datasets  

E-Print Network [OSTI]

EVITA: A Prototype System for Efficient Visualization and Interrogation of Terascale Datasets Raghu and visualization techniques has not kept pace with the growth in size and complexity of such datasets. To address datasets. The cornerstone of the EVITA system is a representational scheme that allows ranked access

Fowler, James E.

186

OBIT DEVELOPMENT MEMO SERIES NO. 21 1 Efficacy of Obit Threading on an EVLA Dataset  

E-Print Network [OSTI]

OBIT DEVELOPMENT MEMO SERIES NO. 21 1 Efficacy of Obit Threading on an EVLA Dataset W. D. Cotton, R of the Obit wide bandwidth imager MFImage in realistic tests on an EVLA dataset including multiple iterations://www.cv.nrao.edu/bcotton/Obit.html) to do wide- band imaging of a recent EVLA dataset. This test uses multiple iterations of self

Groppi, Christopher

187

AHIS Dataset Search Engine: An intelligent approach to EML Data Management  

E-Print Network [OSTI]

AHIS Dataset Search Engine: An intelligent approach to EML Data Management Hung V. Nguyen, Corinna Language ­ EML format. Efficient dataset retrieval system needs to understand the important keywords with text mining techniques for ecological datasets to bridge this gap Technique: · Data extraction: Extract

Hall, Sharon J.

188

VIVDR -Vortex-induced vibration data repository An overview of available riser datasets  

E-Print Network [OSTI]

VIVDR - Vortex-induced vibration data repository An overview of available riser datasets http://oe.mit.edu/VIV H. Mukundan and M. Triantafyllou 20 April 2008 #12;NDP 38m long riser model datasets #12;33 q Rig q Tension applied through spring-supported clump weights NDP 38m long riser model datasets

189

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

E-Print Network [OSTI]

ComSIS Vol. 1, No. 1, February 2004 75 Network Models of Massive Datasets Vladimir Boginski 1 overview of the methodology of modeling massive datasets arising in various applications as networks. This approach is often useful for extracting non-trivial information from the datasets by applying standard

Butenko, Sergiy

190

iVIBRATE: Interactive Visualization Based Framework for Clustering Large Datasets (Version 3)  

E-Print Network [OSTI]

iVIBRATE: Interactive Visualization Based Framework for Clustering Large Datasets (Version 3) Keke and high-quality clustering of large datasets continues to be one of the most important problems in large- scale data analysis. A commonly used methodology for cluster analysis on large datasets is the three

Liu, Ling

191

Bootstrapping for Significance of Compact Clusters in Multi-dimensional Datasets  

E-Print Network [OSTI]

Bootstrapping for Significance of Compact Clusters in Multi-dimensional Datasets Ranjan Maitra in the clustering of multi-dimensional datasets. The developed procedure compares two models and declares the more of the procedure is illustrated on two well-known classification datasets and comprehensively evaluated in terms

Maitra, Ranjan

192

Selecting the Number of Imputed Datasets When Using Multiple Imputation for Missing Data and Disclosure Limitation  

E-Print Network [OSTI]

Selecting the Number of Imputed Datasets When Using Multiple Imputation for Missing Data and disclosure limitation simultaneously. First, fill in the missing data to generate m completed datasets, then replace confidential values in each completed dataset with r imputations. I investigate how to select m

Reiter, Jerome P.

193

A tail strength measure for assessing the overall significance in a dataset  

E-Print Network [OSTI]

A tail strength measure for assessing the overall significance in a dataset Jonathan Taylor, and illustrate its use on a number of real datasets. 1 Introduction Dave et al. (2004) published a study than we would expect to see by chance. Perhaps this is why the Golub dataset has become the most common

Tibshirani, Robeert

194

Mining Image Datasets Using Perceptual Association Rules Jelena Tesic, Shawn Newsam and B. S. Manjunath  

E-Print Network [OSTI]

Mining Image Datasets Using Perceptual Association Rules Jelena Tesi´c, Shawn Newsam and B. S for applying traditional data mining techniques to the non-traditional domain of image datasets for the purpose association rules, are used to distill the frequent perceptual events in large image datasets in order to dis

California at Santa Barbara, University of

195

GeoLens: Enabling Interactive Visual Analytics over Large-scale, Multidimensional Geospatial Datasets  

E-Print Network [OSTI]

Datasets Jared Koontz, Matthew Malensek, and Sangmi Lee Pallickara Department of Computer Science, Colorado for scientists are needed. This is critical when scientists are manipulating voluminous datasets and especially when they need to explore datasets interactively to develop their hypotheses. In this paper, we present

Pallickara, Sangmi

196

DataHub: Collaborative Data Science & Dataset Version Management at Scale  

E-Print Network [OSTI]

DataHub: Collaborative Data Science & Dataset Version Management at Scale Anant Bhardwaj1 , Souvik teams collaboratively curate and analyze large datasets. In- spired by software version control systems like git, we propose (a) a dataset version control system, giving users the ability to create, branch

197

1/28/2014 CFCAM Workshop 2014 1 How to generate ^ PAW Atomic Datasets*  

E-Print Network [OSTI]

1/28/2014 CFCAM Workshop 2014 1 Good How to generate ^ PAW Atomic Datasets* N. A. W. Holzwarth 2014 2 Good How to generate ^ PAW Atomic Datasets Challenges Tricks Opportunities for collaboration Importance of having several independent codes (both for atomic dataset generation and for materials

Holzwarth, Natalie

198

A New Global Rayleigh and Love Wave Group Velocity Dataset For Constraining Lithosphere Properties  

E-Print Network [OSTI]

A New Global Rayleigh and Love Wave Group Velocity Dataset For Constraining Lithosphere Properties features and fit our data very well. This dataset will be used to constrain lithospheric structure globally the global datasets used in Ritzwoller et al. (2002) already consist of more than 100,000 paths, the nature

Laske, Gabi

199

iVIBRATE: Interactive Visualization Based Framework for Clustering Large Datasets  

E-Print Network [OSTI]

iVIBRATE: Interactive Visualization Based Framework for Clustering Large Datasets Keke Chen Ling of large datasets continues to be one of the most important problems in large- scale data analysis. A commonly used methodology for cluster analysis on large datasets is the three-phase framework of "sampling

200

Error estimation of bathymetric grid models derived from historic and contemporary datasets  

E-Print Network [OSTI]

1 Error estimation of bathymetric grid models derived from historic and contemporary datasets and rapidly collecting dense bathymetric datasets. Sextants were replaced by radio navigation, then transit, to digitized contours; the test dataset shows examples of all of these types. From this database, we assign

New Hampshire, University of

Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

A Comprehensive Comparison of Ligand-Based Virtual Screening Tools Against the DUD Dataset  

E-Print Network [OSTI]

A Comprehensive Comparison of Ligand-Based Virtual Screening Tools Against the DUD Dataset Reveals) dataset comprising over 100,000 compounds distributed across 40 protein targets. The DUD was developed and the composition of the DUD dataset itself. We propose that in order to To whom correspondence should be addressed

Paris-Sud XI, Université de

202

A classical dataset from Williams, and its role in the study of supersaturated designs.  

E-Print Network [OSTI]

A classical dataset from Williams, and its role in the study of supersaturated designs. Rolf Sundberg April 29, 2008 Abstract A Plackett­Burman type dataset from a paper by Williams (1968), with 28 observations and 24 two-level factors, has become a standard dataset for illustrating construction (by halving

Sundberg, Rolf

203

Using metadata to improve spatial dataset quality during updates Christelle Pierkot  

E-Print Network [OSTI]

1 Using metadata to improve spatial dataset quality during updates Christelle Pierkot LIRMM, D and degrade the dataset's quality. Within this broad issue, we limit our scope to the updating of geographic their integration into different datasets. In this context, our objective is to propose solutions to allow coherent

Paris-Sud XI, Université de

204

Statistics and the Modern Student  

E-Print Network [OSTI]

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

Robert Gould

2011-01-01T23:59:59.000Z

205

Statistics and the Modern Student  

E-Print Network [OSTI]

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

Gould, Robert

2010-01-01T23:59:59.000Z

206

Robust Machine Learning Applied to Terascale Astronomical Datasets  

E-Print Network [OSTI]

We present recent results from the Laboratory for Cosmological Data Mining (http://lcdm.astro.uiuc.edu) at the National Center for Supercomputing Applications (NCSA) to provide robust classifications and photometric redshifts for objects in the terascale-class Sloan Digital Sky Survey (SDSS). Through a combination of machine learning in the form of decision trees, k-nearest neighbor, and genetic algorithms, the use of supercomputing resources at NCSA, and the cyberenvironment Data-to-Knowledge, we are able to provide improved classifications for over 100 million objects in the SDSS, improved photometric redshifts, and a full exploitation of the powerful k-nearest neighbor algorithm. This work is the first to apply the full power of these algorithms to contemporary terascale astronomical datasets, and the improvement over existing results is demonstrable. We discuss issues that we have encountered in dealing with data on the terascale, and possible solutions that can be implemented to deal with upcoming petascale datasets.

Nicholas M. Ball; Robert J. Brunner; Adam D. Myers

2007-10-24T23:59:59.000Z

207

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

E-Print Network [OSTI]

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

Olsen Jr., Dan R.

208

Parton distributions based on a maximally consistent dataset  

E-Print Network [OSTI]

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

Juan Rojo

2014-09-10T23:59:59.000Z

209

Filtergraph: An Interactive Web Application for Visualization of Astronomy Datasets  

E-Print Network [OSTI]

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

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

2013-01-01T23:59:59.000Z

210

1 Statistics Statistics plays an important role throughout society, providing  

E-Print Network [OSTI]

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

Vertes, Akos

211

Part I STATISTICAL PHYSICS 1 Statistical Physics  

E-Print Network [OSTI]

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

unknown authors

212

Part I STATISTICAL PHYSICS 1 Statistical Physics  

E-Print Network [OSTI]

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

unknown authors

2004-01-01T23:59:59.000Z

213

Part I STATISTICAL PHYSICS 1 Statistical Physics  

E-Print Network [OSTI]

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

unknown authors

214

Comparison of the Legacy and Gold SnIa Dataset Constraints on Dark Energy Models  

E-Print Network [OSTI]

We have performed a comparative analysis of three recent and reliable SnIa datasets available in the literature: the Full Gold (FG) dataset (157 data points $0dataset (140 data points $0dataset (115 data points $0datasets are consistent with each other at the 95% confidence level, the latest (SNLS) dataset shows distinct trends which are not shared by the Gold datasets. We find that the best fit dynamical $w(z)$ obtained from the SNLS dataset does not cross the PDL $w=-1$ and remains above and close to the $w=-1$ line for the whole redshift range $0datasets (FG and TG) clearly crosses the PDL and departs significantly from the PDL $w=-1$ line while the LCDM parameter values are about $2\\sigma$ away from the best fit $w(z)$. In addition, the $(\\Omega_{0m},\\Omega_\\Lambda)$ parameters in a LCDM parametrization without a flat prior, fit by the SNLS dataset, favor the minimal flat LCDM concordance model. The corresponding fit with the Gold datasets mildly favors a closed universe and the flat LCDM parameter values are $1\\sigma - 2\\sigma$ away from the best fit $(\\Omega_{0m},\\Omega_\\Lambda)$.

S. Nesseris; L. Perivolaropoulos

2005-12-02T23:59:59.000Z

215

Statistical Hadronization and Holography  

E-Print Network [OSTI]

In this paper we consider some issues about the statistical model of the hadronization in a holographic approach. We introduce a Rindler like horizon in the bulk and we understand the string breaking as a tunneling event under this horizon. We calculate the hadron spectrum and we get a thermal, and so statistical, shape for it.

Jacopo Bechi

2009-12-17T23:59:59.000Z

216

The Group Evolution Multiwavelength Study (GEMS): the Sample and Datasets  

E-Print Network [OSTI]

Galaxy groups have been under-studied relative to their richer counterparts -- clusters. The Group Evolution Multiwavelength Study (GEMS) aims to redress some the balance. Here we describe the GEMS sample selection and resulting sample of 60 nearby (distance dataset of X-ray, optical and HI imaging. ROSAT X-ray images of each group are presented. GEMS also utilizes near-infrared imaging from the 2MASS survey and optical spectra from the 6dFGS. These observational data are complemented by mock group catalogues generated from the latest LCDM simulations with gas physics included. Existing GEMS publications are briefly highlighted as are future publication plans.

Duncan A. Forbes; Trevor Ponman; Frazer Pearce; John Osmond; Virginia Kilborn; Sarah Brough; Somak Raychaudhury; Carole Mundell; Trevor Miles; Katie Kern

2006-02-09T23:59:59.000Z

217

Constructing Collaborative Desktop Storage Caches for Large Scientific Datasets  

SciTech Connect (OSTI)

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

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

2006-08-01T23:59:59.000Z

218

Swedish Energy Agency - Organizations - OpenEI Datasets  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:Seadov Pty LtdSteen,Ltd Jump to: navigation, search Name:STS3OID, m28 CountyStartDatasets

219

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

Broader source: Energy.gov [DOE]

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

220

Supplemental Figures: Figure S1. Analysis of endo-siRNA targets in different microarray datasets. The  

E-Print Network [OSTI]

Supplemental Figures: Figure S1. Analysis of endo-siRNA targets in different microarray datasets. The percentage of each array dataset that were predicted endo-siRNA targets according to the Ambros dataset (Lee et al. 2006) was plotted [(number of endo-siRNA targets in microarray dataset / total genes

Bass, Brenda L.

Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Statistics: Part 1 1. Why bother with statistics?  

E-Print Network [OSTI]

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

Francis, Paul

222

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

E-Print Network [OSTI]

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

Fienberg, Stephen E.

223

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

E-Print Network [OSTI]

Pearson's Goodness of Fit Statistic as a Score Test Statistic Gordon K. Smyth Abstract For any generalized linear model, the Pearson goodness of fit statistic is the score test statistic for testing the current model against the saturated model. The re- lationship between the Pearson statistic

Smyth, Gordon K.

224

FISHERY STATISTICS E UNITED STATES  

E-Print Network [OSTI]

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

225

Topology for statistical modeling of petascale data.  

SciTech Connect (OSTI)

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.

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

226

SFI++ II: A New I-band Tully-Fisher Catalog, Derivation of Peculiar Velocities and Dataset Properties  

E-Print Network [OSTI]

We present the SFI++ dataset, a homogeneously derived catalog of photometric and rotational properties and the Tully-Fisher distances and peculiar velocities derived from them. We make use of digital optical images, optical long-slit spectra, and global HI line profiles to extract parameters of relevance to disk scaling relations, incorporating several previously published datasets as well as a new photometric sample of some 2000 objects. According to the completeness of available redshift samples over the sky area, we exploit both a modified percolation algorithm and the Voronoi-Delaunay method to assign individual galaxies to groups as well as clusters, thereby reducing scatter introduced by local orbital motions. We also provide corrections to the peculiar velocities for both homogeneous and inhomogeneous Malmquist bias, making use of the 2MASS Redshift Survey density field to approximate large scale structure. We summarize the sample selection criteria, corrections made to raw observational parameters, the grouping techniques, and our procedure for deriving peculiar velocities. The final SFI++ peculiar velocity catalog of 4861 field and cluster galaxies is large enough to permit the study not just of the global statistics of large scale flows but also of the {\\it details} of the local velocity field.

Christopher M. Springob; Karen L. Masters; Martha P. Haynes; Riccardo Giovanelli; Christian Marinoni

2007-05-04T23:59:59.000Z

227

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

E-Print Network [OSTI]

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

Ho, Hsiang; Milenkovic, Tijana; Memisevic, Vesna; Aruri, Jayavani; Przulj, Natasa; Ganesan, Anand K

2010-01-01T23:59:59.000Z

228

Comparison of wind stress algorithms, datasets and oceanic power input  

E-Print Network [OSTI]

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

Yuan, Shaoyu

2009-01-01T23:59:59.000Z

229

Statistical Mechanics with focus on  

E-Print Network [OSTI]

Statistical Mechanics with focus on Liquids, Solutions and Colloidal Systems Course contents A. Foundations of statistical mechanics Classical dynamics ­ Hamilton's and Liouville's equations The concept statistics. Ideal fermion or boson gases. ­ Bose-Einstein condensation. The relationship between

Johannesson, Henrik

230

School of Mathematics and Statistics  

E-Print Network [OSTI]

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

Du, Jie

231

Guide to Inferential Statistics (Hypothesis Testing Statistics) Statistic What does it measure? Null Hypothesis What you  

E-Print Network [OSTI]

Guide to Inferential Statistics (Hypothesis Testing Statistics) Statistic What does it measure of the variable from the 2 groups p-value less than .05 If p statistically different (reject null) If p > .05, there is no statistical difference in the mean values of groups (accept null) t

Brown, Gregory G.

232

Statistics applied to safeguards  

SciTech Connect (OSTI)

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

Picard, R.R.

1993-05-01T23:59:59.000Z

233

Statistics applied to safeguards  

SciTech Connect (OSTI)

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

Picard, R.R.

1993-01-01T23:59:59.000Z

234

Probing cosmic acceleration by using the SNLS3 SNIa dataset  

SciTech Connect (OSTI)

We probe the cosmic acceleration by using the recently released SNLS3 sample of 472 type Ia supernovae. Combining this type Ia supernovae dataset with the cosmic microwave background anisotropy data from the Wilkinson Microwave Anisotropy Probe 7-yr observations, the baryon acoustic oscillation results from the Sloan Digital Sky Survey data release 7, and the Hubble constant measurement from the Wide Field Camera 3 on the Hubble Space Telescope, we measure the dark energy equation of state w and the deceleration parameter q as functions of redshift by using the Chevallier-Polarski-Linder parametrization. Our result is consistent with a cosmological constant at 1? confidence level, without evidence for the recent slowing down of the cosmic acceleration. Furthermore, we consider three binned parametrizations (w is piecewise constant in redshift z) based on different binning methods. The similar results are obtained, i.e., the ?CDM model is still nicely compatible with current observations.

Li, Xiao-Dong; Wang, Shuang; Zhang, Wen-Shuai [Department of Modern Physics, University of Science and Technology of China, Hefei 230026 (China); Li, Song; Huang, Qing-Guo; Li, Miao, E-mail: renzhe@mail.ustc.edu.cn, E-mail: sli@itp.ac.cn, E-mail: swang@mail.ustc.edu.cn, E-mail: wszhang@mail.ustc.edu.cn, E-mail: huangqg@itp.ac.cn, E-mail: mli@itp.ac.cn [Institute of Theoretical Physics, Chinese Academy of Science, Beijing 100080 (China)

2011-07-01T23:59:59.000Z

235

Non-local gravity and comparison with observational datasets  

E-Print Network [OSTI]

We study the cosmological predictions of two recently proposed non-local modifications of General Relativity. Both models have the same number of parameters as $\\Lambda$CDM, with a mass parameter $m$ replacing the cosmological constant. We implement the cosmological perturbations of the non-local models into a modification of the CLASS Boltzmann code, and we make a full comparison to CMB, BAO and supernova data. We find that the non-local models fit these datasets as well as $\\Lambda$CDM. For both non-local models parameter estimation using Planck+JLA+BAO data gives a value of $H_0$ higher than in $\\Lambda$CDM, and in better agreement with the values obtained from local measurements.

Yves Dirian; Stefano Foffa; Martin Kunz; Michele Maggiore; Valeria Pettorino

2014-11-27T23:59:59.000Z

236

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

E-Print Network [OSTI]

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

237

Statistics and samples 1.1 What is statistics?  

E-Print Network [OSTI]

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

Irwin, Darren

238

Statistics and Differential Geometry 18-466 Mathematical Statistics  

E-Print Network [OSTI]

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

Le Ny, Jerome

239

Statistical Learning Theory of Protein Dynamics  

E-Print Network [OSTI]

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

Haas, Kevin

2013-01-01T23:59:59.000Z

240

Mathematical and Statistical Opportunities in Cyber Security  

SciTech Connect (OSTI)

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

Meza, Juan; Campbell, Scott; Bailey, David

2009-03-23T23:59:59.000Z

Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Data Mining for Selective Visualization of Large Spatial Datasets Shashi Shekhar  

E-Print Network [OSTI]

Data Mining for Selective Visualization of Large Spatial Datasets Shashi Shekhar £ , Chang-Tien Lu exploring data for pattern and trend analysis, and it is a common method of browsing spatial datasets the summarization of spatial patterns and temporal trends. We also present data mining algorithms for filtering out

Shekhar, Shashi

242

Indicators: Performance Statistics  

E-Print Network [OSTI]

% Quality Inspections Completed 66% +12% 95% 86% 95% 52% 81% 51% 76% Utilities: Performance Statistics of performance measures and specific color code target values. Trend status color indicators ­ identifies changes from the prior month: Key: - 54% Electric - 0% All Zones Combined Zone Breakdown Steam/Chilled Water 0

Webb, Peter

243

General Indicators: Performance Statistics  

E-Print Network [OSTI]

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

Webb, Peter

244

General Indicators: Performance Statistics  

E-Print Network [OSTI]

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

Webb, Peter

245

General Indicators: Performance Statistics  

E-Print Network [OSTI]

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

Webb, Peter

246

MATHEMATICS AND STATISTICS  

E-Print Network [OSTI]

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

Banaji,. Murad

247

On some statistical aspects of software testing and reliability  

E-Print Network [OSTI]

On some statistical aspects of software testing and reliability Frank P.A. Coolen Abstract and reliability. Several difficulties are highlighted and several research challenges are discussed. Overall useful inferences on software reliability if the statistical methods are considered to be an `add

Coolen, Frank

248

4 A Statistical Perspective on Knowledge Discovery in Databases  

E-Print Network [OSTI]

methods. Following ideas of G. E. P. Box and J. W. Tukey, Huber 1964 and Hampel 1974 formalized the notion characterizes the notion that statistical insights and modeling are driven by data. John Tukey 1977; Mosteller and Tukey, 1Basically re ecting R. A. Fisher's insight Statistical Methods for Researchers, 1924

Boetticher, Gary D.

249

Mathematical and Statistical Opportunities in Cyber Security Scott Campbell  

E-Print Network [OSTI]

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

Bailey, David H.

250

Data Mining: Statistics and More? David J. HAND  

E-Print Network [OSTI]

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

Weiss, Gary

251

Frederi G. Viens Professor of Statistics and Mathematics  

E-Print Network [OSTI]

Defense Science and Engineering Graduate Fellow, U.C. Irvine 1996 U.C. Irvine Connely Award for best Society, member 2013 Institute of Mathematical Statistics, Fellow 2013 Purdue College of Science Research, Statistics. Undergrad upper division: Discrete mathematics, Linear Algebra, Intermediate probability

Viens, Frederi G.

252

Statistical Mechanics of Resource Allocation  

E-Print Network [OSTI]

We provide a mathematical model to investigate the resource allocation problem for agents, say, university graduates who are looking for their positions in labor markets. The basic model is described by the so-called Potts spin glass which is well-known in the research field of statistical physics. In the model, each Potts spin (a tiny magnet in atomic scale length) represents the action of each student, and it takes a discrete variable corresponding to the company he/she applies for. We construct the energy to include three distinct effects on the students' behavior, namely, collective effect, market history and international ranking of companies. In this model system, the correlations (the adjacent matrix) between students are taken into account through the pairwise spin-spin interactions. We carry out computer simulations to examine the efficiency of the model. We also show that some chiral representation of the Potts spin enables us to obtain some analytical insights into our labor markets.

Inoue, Jun-ichi

2014-01-01T23:59:59.000Z

253

Introduction Research Interests  

E-Print Network [OSTI]

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

Blais, Brian

254

Wavelet methods and statistical applications: network security and bioinformatics  

E-Print Network [OSTI]

Wavelet methods possess versatile properties for statistical applications. We would like to explore the advantages of using wavelets in the analyses in two different research areas. First of all, we develop an integrated tool for online detection...

Kwon, Deukwoo

2005-11-01T23:59:59.000Z

255

International Journal of Mass Spectrometry 260 (2007) 222236 Extended data analysis strategies for high resolution imaging MS: New methods to deal with extremely large image hyperspectral datasets  

E-Print Network [OSTI]

The large size of the hyperspectral datasets that are produced with modern mass spectrometric imaging techniques makes it difficult to analyze the results. Unsupervised statistical techniques are needed to extract relevant information from these datasets and reduce the data into a surveyable overview. Multivariate statistics are commonly used for this purpose. Computational power and computer memory limit the resolution at which the datasets can be analyzed with these techniques. We introduce the use of a data format capable of efficiently storing sparse datasets for multivariate analysis. This format is more memory-efficient and therefore it increases the possible resolution together with a decrease of computation time. Three multivariate techniques are compared for both sparse-type data and non-sparse data acquired in two different imaging ToF-SIMS experiments and one LDI-ToF imaging experiment. There is no significant qualitative difference in the use of different data formats for the same multivariate algorithms. All evaluated multivariate techniques could be applied on both SIMS and the LDI imaging datasets. Principal component analysis is shown to be the fastest choice; however a small increase of computation time using a VARIMAX optimization increases the decomposition quality significantly. PARAFAC analysis is shown to be very effective in separating different chemical components but the calculations take a significant amount of time, limiting its use as a routine technique. An effective visualization of the results of the multivariate analysis is as important for the analyst as the computational issues. For this reason, a new technique for visualization is presented, combining both spectral loadings and spatial

Leendert A. Klerk A; Er Broersen B; Ian W. Fletcher C

2006-01-01T23:59:59.000Z

256

HistFitter software framework for statistical data analysis  

E-Print Network [OSTI]

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

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

2014-10-06T23:59:59.000Z

257

1979 DOE statistical symposium  

SciTech Connect (OSTI)

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

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

1980-09-01T23:59:59.000Z

258

DCO Operations Interesting Statistics  

E-Print Network [OSTI]

DCO Operations Interesting Statistics 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 Chart by: HANDS DOWN SOFTWARE, www.handsdownsoftware.com 1.00 0.95 0.90 0.85 0.80 0.75 0.70 0.65 0.60 0 is annotated with the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE

259

Independent Statistics & Analysis  

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),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickrinformation for planningto FuelIndependent Statistics & Analysis

260

Statistical simulation procedures  

E-Print Network [OSTI]

. Ringer This thesis investicates methods for estimating statistical distribution functions which cannot be easily solved by theoretical techniques. The stratified Ilonte Carlo procedure of Ringer and Suharto [11j is extended to the multivariate case... and applied to two probIems, one practical, the other theoretical. This procedure Is shown to be more precise than simple Monte Carlo simula- t. i on. numerical method proposed by Soserville [12j is also extended to the multivariate case, and compared...

Tremelling, Robert Norman

2012-06-07T23:59:59.000Z

Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Homotopy in statistical physics  

E-Print Network [OSTI]

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

Ralph Kenna

2006-04-12T23:59:59.000Z

262

A Method For Eclipsing Component Identification In Large Photometric Datasets  

E-Print Network [OSTI]

We describe an automated method for assigning the most likely physical parameters to the components of an eclipsing binary (EB), using only its photometric light curve and combined color. In traditional methods (e.g. WD and EBOP) one attempts to optimize a multi-parameter model over many iterations, so as to minimize the chi-squared value. We suggest an alternative method, where one selects pairs of coeval stars from a set of theoretical stellar models, and compares their simulated light curves and combined colors with the observations. This approach greatly reduces the EB parameter-space over which one needs to search, and allows one to determine the components' masses, radii and absolute magnitudes, without spectroscopic data. We have implemented this method in an automated program using published theoretical isochrones and limb-darkening coefficients. Since it is easy to automate, this method lends itself to systematic analyses of datasets consisting of photometric time series of large numbers of stars, such as those produced by OGLE, MACHO, TrES, HAT, and many others surveys.

Jonathan Devor; David Charbonneau

2005-10-04T23:59:59.000Z

263

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

Broader source: Energy.gov [DOE]

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

264

Content of Submission The content of the RAE08 submission was comprised of the following nine datasets,  

E-Print Network [OSTI]

datasets, known as forms. Form Content of data set RA0 Overall staff summary to include: - The FTE number

265

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

Broader source: Energy.gov [DOE]

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

266

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

Broader source: Energy.gov [DOE]

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

267

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

Broader source: Energy.gov [DOE]

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

268

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

Broader source: Energy.gov [DOE]

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

269

Gathering Datasets for Activity Identification Lorcan Coyle, Juan Ye, Susan McKeever, Stephen Knox, Matthew Stabeler,  

E-Print Network [OSTI]

Gathering Datasets for Activity Identification Lorcan Coyle, Juan Ye, Susan McKeever, Stephen Knox is proceedings well, without publicly available datasets on which to compare results it is difficult to consolidate the disparate work being done. This prob- lem exists because realistic datasets describing human

Hammerton, James

270

Dataset Lifecycle Policy Development & Implementation at the PO.DAAC AGU Paper Number: IN53C-1579  

E-Print Network [OSTI]

Dataset Lifecycle Policy Development & Implementation at the PO.DAAC AGU Paper Number: IN53C-1579 Dataset Lifecycle Policy Development & Implementation at the PO.DAAC National Aeronautics and Space Aeronautics and Space Administration Jet Propulsion Laboratory/California Institute of Technology II. Dataset

Wright, Dawn Jeannine

271

978-1-4799-1270-4/13/$31.00 c 2013 IEEE Let's ChronoSync: Decentralized Dataset State  

E-Print Network [OSTI]

978-1-4799-1270-4/13/$31.00 c 2013 IEEE Let's ChronoSync: Decentralized Dataset State of knowledge about the dataset such as text messages, changes to the shared folder, or document edits. We to efficiently synchronize the state of a dataset among a distributed group of users. Using appropriate naming

California at Los Angeles, University of

272

Using Representative-Based Clustering for Nearest Neighbor Dataset Editing Christoph F. Eick , Nidal Zeidat, and Ricardo Vilalta  

E-Print Network [OSTI]

Using Representative-Based Clustering for Nearest Neighbor Dataset Editing Christoph F. Eick, vilalta}@cs.uh.edu Abstract The goal of dataset editing in instance-based learning is to remove objects-based clustering algorithms for nearest neighbor dataset editing. We term this approach supervised clustering

Vilalta, Ricardo

273

AMM1 and MAMM Mosaics Three versions of the AMM1 and MAMM Ascending dataset are available, a  

E-Print Network [OSTI]

AMM1 and MAMM Mosaics Three versions of the AMM1 and MAMM Ascending dataset are available converted to a ° mosaic and a log-scaled 8-bit version. Dataset Rad. Smoothed Log-scaled 8-bit ° AMM1 Final The following equations were used to compute amplitude for the different datasets following inversion

Howat, Ian M.

274

License Terms This dataset is made freely available to academic and non-academic entities for non-commercial  

E-Print Network [OSTI]

License Terms This dataset is made freely available to academic and non-academic entities for non publication in any published work that makes use of the dataset. 3. That if you have altered the content of the dataset or created derivative work, prominent notice is made so that any recipients know

Hefei Institute of Intelligent Machines

275

BroadPeak: a novel algorithm for identifying broad peaks in dif-fuse ChIP-seq datasets  

E-Print Network [OSTI]

1 BroadPeak: a novel algorithm for identifying broad peaks in dif- fuse ChIP-seq datasets JianrongIP-seq datasets. We show that BroadPeak is a linear time algorithm that requires only two parame- ters, and we validate its performance on real and simulated histone modification ChIP-seq datasets. BroadPeak calls

Jordan, King

276

A Public Toolkit and ITS Dataset for EEG Yueran Yuan, Kai-min Chang, Yanbo Xu, Jack Mostow  

E-Print Network [OSTI]

A Public Toolkit and ITS Dataset for EEG Yueran Yuan, Kai-min Chang, Yanbo Xu, Jack Mostow Language a classifier to estimate a student's amount of prior exposure to a given word. We make this dataset and toolkit setting. In this paper, we present a dataset from 3 years of school usage of Project LISTEN's Reading

277

Evaluation of Model based Tracking with TrakMark Dataset Antoine Petit Guillaume Caron Hideaki Uchiyama Eric Marchand  

E-Print Network [OSTI]

Evaluation of Model based Tracking with TrakMark Dataset Antoine Petit Guillaume Caron Hideaki in the INRIA La- gadic team with a TrakMark dataset. Since these methods are based on a 3D model based approach, we selected a dataset named "Con- ference Venue Package 01" that includes a 3D textured model

Paris-Sud XI, Université de

278

CLIMATE MODELING BEST ESTIMATE DATASET (CMBE) -NEW ADDITIONS Renata McCoy, Shaocheng Xie, Stephen Klein, Lawrence Livermore National Laboratory  

E-Print Network [OSTI]

CLIMATE MODELING BEST ESTIMATE DATASET (CMBE) - NEW ADDITIONS Renata McCoy, Shaocheng Xie, Stephen ARM product, the Climate Modeling Best Estimate (CMBE) dataset, is being augmented with the additional observational and model data. The CMBE dataset was created to serve the needs of climate model developers

279

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

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

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

280

International petroleum statistics report  

SciTech Connect (OSTI)

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.

NONE

1995-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

FY 2005 Statistical Table  

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

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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of Energy memoCityTheDepartmentKey9Statistical Table by

282

FY 2007 Statistical Table  

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

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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of EnergyOrganization (dollars in5Statistical Table by

283

PDSF Cluster Statistics  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratorySpeedingOptimizing I/OP-Glycoprotein StructureStatistics Cluster

284

STATISTICS ESSENTIAL SKILL OUTCOME STATEMENTS  

E-Print Network [OSTI]

SB #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 level of competency. He or she should be able to perform basic statistical analyses (producer

Gering, Jon C.

285

Statistical Ensembles with Volume Fluctuations  

E-Print Network [OSTI]

The volume fluctuations in statistical mechanics are discussed. First, the volume fluctuations in ensembles with a fixed external pressure, the so called pressure ensembles, are considered. Second, a generalization of the pressure ensembles is suggested. Namely, the statistical ensembles with the volume fluctuating according to externally given distributions are considered. Several examples and possible applications in statistical models of hadron production are discussed.

Mark I. Gorenstein

2008-06-17T23:59:59.000Z

286

Statistical Explanation WESLEY C. SALMON  

E-Print Network [OSTI]

Statistical Explanation WESLEY C. SALMON Indiana University EVER SINCE IUS CLASSIC PAPER with Paul This paper grew out of a discussion of statistical expl8D8tion presented at the meeting of the American Probabilities in Statistical Explanation," along with Henry E. Kyburg's comments and my rejoinder, were

Fitelson, Branden

287

International petroleum statistics report  

SciTech Connect (OSTI)

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.

NONE

1997-05-01T23:59:59.000Z

288

An Application of Multivariate Statistical Analysis for Query-Driven Visualization  

SciTech Connect (OSTI)

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

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

2010-03-01T23:59:59.000Z

289

Exudate-based diabetic macular edema detection in fundus images using publicly available datasets  

SciTech Connect (OSTI)

Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy. In a large scale screening environment DME can be assessed by detecting exudates (a type of bright lesions) in fundus images. In this work, we introduce a new methodology for diagnosis of DME using a novel set of features based on colour, wavelet decomposition and automatic lesion segmentation. These features are employed to train a classifier able to automatically diagnose DME through the presence of exudation. We present a new publicly available dataset with ground-truth data containing 169 patients from various ethnic groups and levels of DME. This and other two publicly available datasets are employed to evaluate our algorithm. We are able to achieve diagnosis performance comparable to retina experts on the MESSIDOR (an independently labelled dataset with 1200 images) with cross-dataset testing (e.g., the classifier was trained on an independent dataset and tested on MESSIDOR). Our algorithm obtained an AUC between 0.88 and 0.94 depending on the dataset/features used. Additionally, it does not need ground truth at lesion level to reject false positives and is computationally efficient, as it generates a diagnosis on an average of 4.4 s (9.3 s, considering the optic nerve localization) per image on an 2.6 GHz platform with an unoptimized Matlab implementation.

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

2011-01-01T23:59:59.000Z

290

Statistical Analysis of a Telephone Call Center: A Queueing-Science Perspective  

E-Print Network [OSTI]

Statistical Analysis of a Telephone Call Center: A Queueing-Science Perspective Lawrence Brown Corresponding author: Haipeng Shen Department of Statistics and Operations Research University of North Carolina)962-1279 Lawrence Brown is Professor, Department of Statistics, The Wharton School, University of Pennsylvania

Shen, Haipeng

291

Statistical Moments - Spring/Summer 2007  

E-Print Network [OSTI]

Re- peated Measures. ! Statistics in Medi- cine, 26, 1552-with a minor in statistics by Summer 2007. These students1 UCLA DEPARTMENT OF STATISTICS NEWSLETTER ! status, more

UCLA Department of Statistics

2007-01-01T23:59:59.000Z

292

Statistical Moments - Spring/Summer 2008  

E-Print Network [OSTI]

nonignorable missing values. Statistics in Medicine, 13.species. Annals of Applied Statistics, 1: 36-65. 22. DinovLarge Run Sizes. UCLA Statistics Electronic Publications,

UCLA Department of Statistics

2008-01-01T23:59:59.000Z

293

Statistics Online Computational Resource for Education  

E-Print Network [OSTI]

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

Dinov, Ivo D; Christou, Nicolas

2009-01-01T23:59:59.000Z

294

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

SciTech Connect (OSTI)

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

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

2010-12-22T23:59:59.000Z

295

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

SciTech Connect (OSTI)

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

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

2009-08-20T23:59:59.000Z

296

What is ICA&D? The International Climate Assessment & Dataset (ICA&D) climate services concept combines the work of WMO's Expert  

E-Print Network [OSTI]

What is ICA&D? The International Climate Assessment & Dataset (ICA&D) climate services concept on the software developed for the European Climate Assessment & Dataset (ECA&D) and is already applied in four & Dataset (SACA&D) for WMO Region V and the Latin American Climate Assessment & Dataset (LACA&D) for WMO

Haak, Hein

297

A Category-Level 3-D Object Dataset: Putting the Kinect to Work Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell  

E-Print Network [OSTI]

A Category-Level 3-D Object Dataset: Putting the Kinect to Work Allison Janoch, Sergey Karayev for a chal- lenging category-level 3D object detection dataset to the fore. We review current 3D datasets our dataset of color and depth image pairs, gathered in real domestic and office environ- ments

O'Brien, James F.

298

International petroleum statistics report  

SciTech Connect (OSTI)

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.

NONE

1995-11-01T23:59:59.000Z

299

International petroleum statistics report  

SciTech Connect (OSTI)

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.

NONE

1996-05-01T23:59:59.000Z

300

International petroleum statistics report  

SciTech Connect (OSTI)

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.

NONE

1997-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

International petroleum statistics report  

SciTech Connect (OSTI)

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

NONE

1996-10-01T23:59:59.000Z

302

Statistics as a dynamical attractor  

E-Print Network [OSTI]

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.

Michail Zak

2012-08-30T23:59:59.000Z

303

Algebraic Statistics methods Giovanni Pistone  

E-Print Network [OSTI]

Algebraic Statistics methods for DOE Giovanni Pistone Department of Mathematics Politecnico di Torino, Italy giovanni.pistone@polito.it Eva Riccomagno Department of Mathematics Politecnico di Torino

Ceragioli, Francesca

304

Small Business Goals and Statistics  

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

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

305

Collection and Analysis of Two Complex Ecological Datasets  

E-Print Network [OSTI]

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

Fisher, Bob

306

Computer, Computational, and Statistical Sciences Division  

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

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

307

SDI: Statistical dynamic interactions  

SciTech Connect (OSTI)

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

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

1991-04-01T23:59:59.000Z

308

Nuclear Mass Datasets and Models at nuclearmasses.org  

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

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

309

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

SciTech Connect (OSTI)

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

None

1980-11-01T23:59:59.000Z

310

Building statistical models by visualization  

E-Print Network [OSTI]

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

Minka,Tom

311

December 2000 A STATISTICAL TEST  

E-Print Network [OSTI]

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

312

Key China Energy Statistics 2012  

E-Print Network [OSTI]

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

Levine, Mark

2013-01-01T23:59:59.000Z

313

Probability, Statistics, and Stochastic Processes  

E-Print Network [OSTI]

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

Olofsson, Peter

314

Practical Statistics for the LHC  

E-Print Network [OSTI]

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

Cranmer, Kyle

2015-01-01T23:59:59.000Z

315

Statistics in Practice Forensic Science  

E-Print Network [OSTI]

Statistics in Practice Forensic Science Dr. David Lucy d.lucy@lancaster.ac.uk Lancaster University Statistics in Practice ­ p.1/36 #12;Forensic Science Criminal evidence becoming increasingly "scientific in Practice ­ p.2/36 #12;Forensic Science Greater realisation that uncertainty is important has lead to

Lucy, David

316

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

Broader source: Energy.gov [DOE]

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

317

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

Broader source: Energy.gov [DOE]

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

318

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

Broader source: Energy.gov [DOE]

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

319

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

Broader source: Energy.gov [DOE]

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

320

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

Broader source: Energy.gov [DOE]

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

Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Earth System Grid II, Turning Climate Datasets into Community Resources  

SciTech Connect (OSTI)

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

Middleton, Don

2006-08-01T23:59:59.000Z

322

Curvature independence of statistical entropy  

E-Print Network [OSTI]

We examine the statistical number of states, from which statistical entropy can be derived, and we show that it is an explicit function of the metric and thus observer dependent. We find a constraint on a transformation of the metric that preserves the number of states but does not preserve curvature. In showing exactly how curvature independence arises in the conventional definition of statistical entropy, we gain a precise understanding of the direction in which it needs to be redefined in the treatment of black hole entropy.

Judy Kupferman

2014-07-20T23:59:59.000Z

323

Non-Cooperative Facial Recognition Video Dataset Collection Plan  

SciTech Connect (OSTI)

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

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

2013-08-31T23:59:59.000Z

324

Statistical Mechanics of Amplifying Apparatus  

E-Print Network [OSTI]

We implement Feynman's suggestion that the only missing notion needed for the puzzle of Quantum Measurement is the statistical mechanics of amplifying apparatus. We define a thermodynamic limit of quantum amplifiers which is a classically describable system in the sense of Bohr, and define macroscopic pointer variables for the limit system. Then we derive the probabilities of Quantum Measurement from the deterministic Schroedinger equation by the usual techniques of Classical Statistical Mechanics.

Joseph Johnson

2005-02-08T23:59:59.000Z

325

Statistics in Linguistics Tutorial Just a sip. . .  

E-Print Network [OSTI]

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

Fong, Sandiway

326

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

SciTech Connect (OSTI)

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

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

2011-01-01T23:59:59.000Z

327

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

E-Print Network [OSTI]

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

Boyer, Edmond

328

Partition dataset according to amino acid type improves the prediction of deleterious non-synonymous SNPs  

SciTech Connect (OSTI)

Highlights: Black-Right-Pointing-Pointer Proper dataset partition can improve the prediction of deleterious nsSNPs. Black-Right-Pointing-Pointer Partition according to original residue type at nsSNP is a good criterion. Black-Right-Pointing-Pointer Similar strategy is supposed promising in other machine learning problems. -- Abstract: Many non-synonymous SNPs (nsSNPs) are associated with diseases, and numerous machine learning methods have been applied to train classifiers for sorting disease-associated nsSNPs from neutral ones. The continuously accumulated nsSNP data allows us to further explore better prediction approaches. In this work, we partitioned the training data into 20 subsets according to either original or substituted amino acid type at the nsSNP site. Using support vector machine (SVM), training classification models on each subset resulted in an overall accuracy of 76.3% or 74.9% depending on the two different partition criteria, while training on the whole dataset obtained an accuracy of only 72.6%. Moreover, the dataset was also randomly divided into 20 subsets, but the corresponding accuracy was only 73.2%. Our results demonstrated that partitioning the whole training dataset into subsets properly, i.e., according to the residue type at the nsSNP site, will improve the performance of the trained classifiers significantly, which should be valuable in developing better tools for predicting the disease-association of nsSNPs.

Yang, Jing; Li, Yuan-Yuan [School of Biotechnology, East China University of Science and Technology, Shanghai 200237 (China) [School of Biotechnology, East China University of Science and Technology, Shanghai 200237 (China); Shanghai Center for Bioinformation Technology, Shanghai 200235 (China); Li, Yi-Xue, E-mail: yxli@sibs.ac.cn [School of Biotechnology, East China University of Science and Technology, Shanghai 200237 (China) [School of Biotechnology, East China University of Science and Technology, Shanghai 200237 (China); Shanghai Center for Bioinformation Technology, Shanghai 200235 (China); Ye, Zhi-Qiang, E-mail: yezq@pkusz.edu.cn [Laboratory of Chemical Genomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen 518055 (China) [Laboratory of Chemical Genomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen 518055 (China); Key Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031 (China)

2012-03-02T23:59:59.000Z

329

arXiv:astro-ph/0106481v126Jun2001 MASSIVE DATASETS IN ASTRONOMY  

E-Print Network [OSTI]

arXiv:astro-ph/0106481v126Jun2001 Chapter 1 MASSIVE DATASETS IN ASTRONOMY Robert J. Brunner, S 21218 USA szalay@pha.jhu.edu Abstract Astronomy has a long history of acquiring, systematizing archives and services representing a new in- formation infrastructure for astronomy of the 21st century

Prince, Thomas A.

330

Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets Tomasz Stepinski  

E-Print Network [OSTI]

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

Ding, Wei

331

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

E-Print Network [OSTI]

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

Anderson, Richard

332

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

E-Print Network [OSTI]

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

Franklin, W. Randolph

333

Z:\\gis553s12\\lab5\\demo\\grid2poly.py Wednesday, January 18, 2012 4:49 PM # Create a square quadrat (polygon) dataset based on the input feature class.  

E-Print Network [OSTI]

(polygon) dataset based on the input feature class. # The output polygon dataset cover all of the input where your point dataset is stored." print "2. The NAME of your point dataset." print "3. The SIZE, one_input("Enter the name of your point dataset (include .shp if a shapefile): ") quadrat = raw_input("Enter the size

Hung, I-Kuai

334

Z:\\gis553_lab\\lab5\\grid2poly.py Tuesday, February 18, 2014 8:30 PM # Create a square quadrat (polygon) dataset based on the input feature class.  

E-Print Network [OSTI]

(polygon) dataset based on the input feature class. # The output polygon dataset covers all of the input where your point dataset is stored. " print "2. The NAME of your point dataset." print "3. The SIZE, one = raw_input("Enter the name of your point dataset (include .shp if a shapefile):") quadrat = raw

Hung, I-Kuai

335

Statistically Equivalent Representative Volume Elements for Unidirectional  

E-Print Network [OSTI]

Statistically Equivalent Representative Volume Elements for Unidirectional Composite the statistically equivalent representative volume element (SERVE) are proposed for fiber-reinforced microstructures using a bilinear cohesive zone law. As introduced in the first article, a combination of statistical

Ghosh, Somnath

336

Statistical Moments - Winter/Spring 2006  

E-Print Network [OSTI]

in Los Angeles County, UCLA Statistics Preprint No. 441 5.Point Processes, UCLA Statistics Preprint No. 377 KatherinePoint Patterns, UCLA Statistics Preprint No. 406 Kim, T. H,

UCLA Department of Statistics

2006-01-01T23:59:59.000Z

337

Experimental particle physics in Finland: Statistics and Overview  

E-Print Network [OSTI]

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

Eerola, Paula

338

Earnings forecast bias -a statistical analysis Franois Dossou  

E-Print Network [OSTI]

Earnings forecast bias - a statistical analysis François Dossou Sandrine Lardic** Karine Michalon' earnings forecasts is an important aspect of research for different reasons: Many empirical studies employ analysts' consensus forecasts as a proxy for the market's expectations of future earnings in order

Paris-Sud XI, Université de

339

Berkeley Lab Accident Statistics Through July 31, 2012  

E-Print Network [OSTI]

/Illness Cases ­ July 2012 Electrical Exposure · Electrical Exposure on finger ­ The Research Associate felt a mild electrical shock to the thumb and index finger while adjusting experimental equipment. #12;9 #12;10 LBNL vs. DOE Contractor Rates #12;11 #12;12BLS = US Bureau of Labor Statistics 2009 data NAICS = North

Eisen, Michael

340

Statistical Inference for Exploratory Data Analysis and Model Diagnostics  

E-Print Network [OSTI]

Wharton School, University of Pennsylvania, 2 Iowa State University, 3 Fred Hutchinson Cancer Research thinking. Keywords: permutation tests, rotation tests, statistical graphics, visual data mining, simulation analytic activities that rely primarily on visual displays and only secondarily on numeric summaries. EDA

Buja, Andreas

Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

FUTURE POWER GRID INITIATIVE A Statistical State Prediction  

E-Print Network [OSTI]

FUTURE POWER GRID INITIATIVE A Statistical State Prediction Methodology to Improve Reliability and Efficiency of Power Grid Simulation OBJECTIVE This project aims to develop a short-term prediction of prediction. This research is motivated by the challenges of increasing uncertainty and variation introduced

342

Motion Prediction for Moving Objects: a Statistical Approach  

E-Print Network [OSTI]

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

Paris-Sud XI, Universit de

343

Statistical Analysis of Protein Folding Kinetics Aaron R. Dinner  

E-Print Network [OSTI]

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

Dinner, Aaron

344

Annual Report of Research  

E-Print Network [OSTI]

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

Lee, Dongwon

345

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

E-Print Network [OSTI]

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

Zhang, Li-Xin

346

Market Statistics Northern Colorado Region About the Research  

E-Print Network [OSTI]

details historical closing and inventory trends for both attached and detached residential product types, the Center also produces the EREC house price indices (HPI), an in-depth study of residential property values

347

Research on Combinatorial Statistics: Crossings and Nestings in Discrete Structures  

E-Print Network [OSTI]

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

Poznanovikj, Svetlana

2011-10-21T23:59:59.000Z

348

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

E-Print Network [OSTI]

Statistics Stat 201 Statistics for Engineers & Scientists Stat 301 Statistics and Probability for Sec Ed Note Analysis of Variance Stat 240 Discrete Probability Stat 290 Communication of Statistical Results Stat 330BS in STATISTICS: Biostatistics Emphasis (695233) MAP Sheet Department of Statistics For students

Olsen Jr., Dan R.

349

statistical planning Journal of Statistical Planning and and inference  

E-Print Network [OSTI]

-dependent covariates D.Y. Lin a'*, Zhiliang Ying b "Department . Ying/Journal q/' Statistical Plannin~l and lt~[brence 44 (1995) 47 63 where To refers to the condition attention (e.g., Ritov, 1990; Tsiatis, 1990; Wei et al., 1990; Lai and Ying, 1991; Ying, 1993). To provide

Lin, Danyu

350

Some statistics of Galactic SNRs  

E-Print Network [OSTI]

The selection effects applicable to the identification of Galactic supernova remnants (SNRs) at radio wavelengths are discussed. Low surface brightness remnants are missing, as are those with small angular sizes (including young but distant SNRs). Several statistical properties of Galactic SNRs are discussed, including the surface-brightness/diameter (Sigma-D) relation. The wide range of intrinsic properties of Galactic remnants with known distances, and the observational selection effects, means that the Sigma-D relation is of limited use to derive diameters and hence distances for individual SNRs, or for statistical studies.

D. A. Green

2005-05-20T23:59:59.000Z

351

On Statistical Aspects of Qjets  

E-Print Network [OSTI]

The process by which jet algorithms construct jets and subjets is inherently ambiguous and equally well motivated algorithms often return very different answers. The Qjets procedure was introduced by the authors to account for this ambiguity by considering many reconstructions of a jet at once, allowing one to assign a weight to each interpretation of the jet. Employing these weighted interpretations leads to an improvement in the statistical stability of many measurements. Here we explore in detail the statistical properties of these sets of weighted measurements and demonstrate how they can be used to improve the reach of jet-based studies.

Stephen D. Ellis; Andrew Hornig; David Krohn; Tuhin S. Roy

2014-12-05T23:59:59.000Z

352

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

SciTech Connect (OSTI)

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

Erdmann, Christine A.; Apte, Michael G.

2003-09-01T23:59:59.000Z

353

Associations of indoor carbon dioxide concentrations, VOCS, environmental susceptibilities with mucous membrane and lower respiratory sick building syndrome symptoms in the BASE study: Analyses of the 100 building dataset  

E-Print Network [OSTI]

ANALYSES OF THE 100 BUILDING DATASET MG Apte and CA ErdmannEvaluation (BASE) Study dataset, we performed multivariatewheeze). We explore, in a dataset collected in 100 US office

Apte, M.G.; Erdmann, C.A.

2002-01-01T23:59:59.000Z

354

Going into depth: Evaluating 2D and 3D cues for object classification on a new, large-scale object dataset  

E-Print Network [OSTI]

dataset Bj¨orn Browatzki MPI for Biological Cybernetics T¨ubingen, Germany bjoern part of this paper, we introduce a novel, large dataset containing 18 categories of objects found in typ- ical household and office environments--we envision this dataset to be useful in many

355

IEEE SENSORS JOURNAL, VOL. 10, NO. 12, DECEMBER 2010 1891 A Dataset for the Design of Smart Ion-Selective Electrode Arrays for  

E-Print Network [OSTI]

IEEE SENSORS JOURNAL, VOL. 10, NO. 12, DECEMBER 2010 1891 A Dataset for the Design of Smart Ion (ISEs). The development of the core of a SSA, the signal processing algorithm, often requires a dataset with arrays of ISEs. The acquired dataset is publicly available in a web page where published results

Paris-Sud XI, Université de

356

Describing the Cloud of Linked Datasets While there is a growing number of published and offered as openly available Linked Open Data  

E-Print Network [OSTI]

Describing the Cloud of Linked Datasets While there is a growing number of published and offered as openly available Linked Open Data datasets1 ; many challenges remain to be tackled on making such data what the data is all about? with most datasets having poor and superficial metadata describing content

Nejdl, Wolfgang

357

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

SciTech Connect (OSTI)

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

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

2013-10-01T23:59:59.000Z

358

Production of BaBar Skimmed Analysis Datasets Using the Grid  

SciTech Connect (OSTI)

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

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

2011-11-10T23:59:59.000Z

359

Statistics Colloquium Dr. Noel Cadigan  

E-Print Network [OSTI]

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

Oyet, Alwell

360

STATISTICS AND PHILOSOPHY OF PROBABILITY  

E-Print Network [OSTI]

STATISTICS AND PHILOSOPHY OF PROBABILITY -- SIX DEGREES OF SEPARATION Krzysztof Burdzy University of Washington Krzysztof Burdzy Philosophy of probability #12;The search for certainty The search for certainty. On the clash of science and philosophy of probability. Preface, Table of Contents and Introduction

Burdzy, Krzysztof "Chris"

Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Non-statistical Weak Measurements  

E-Print Network [OSTI]

Non-statistical weak measurements yield weak values that are outside the range of eigenvalues and are not rare, suggesting that weak values are a property of every pre-and-post-selected ensemble. They also extend the applicability and valid regime of weak values.

Jeff Tollaksen; Yakir Aharonov

2006-07-28T23:59:59.000Z

362

Statistical Seismology DAVID VERE-JONES,1  

E-Print Network [OSTI]

Statistical Seismology DAVID VERE-JONES,1 YEHUDA BEN-ZION,2 and RAMO´ N ZU´ N~ IGA 3 Introduction the last two decades. The subject of statistical seismology aims to bridge the gap between physics-based models without statistics, and statistics-based models without physics. This volume, which is based

Ben-Zion, Yehuda

363

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

SciTech Connect (OSTI)

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

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

2011-01-01T23:59:59.000Z

364

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

E-Print Network [OSTI]

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

Ben-Gal, Irad E.

365

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

E-Print Network [OSTI]

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

Rosenthal, Jeffrey S.

366

Bulk Data Movement for Climate Dataset: Efficient Data Transfer Management with Dynamic Transfer Adjustment  

SciTech Connect (OSTI)

Many scientific applications and experiments, such as high energy and nuclear physics, astrophysics, climate observation and modeling, combustion, nano-scale material sciences, and computational biology, generate extreme volumes of data with a large number of files. These data sources are distributed among national and international data repositories, and are shared by large numbers of geographically distributed scientists. A large portion of data is frequently accessed, and a large volume of data is moved from one place to another for analysis and storage. One challenging issue in such efforts is the limited network capacity for moving large datasets to explore and manage. The Bulk Data Mover (BDM), a data transfer management tool in the Earth System Grid (ESG) community, has been managing the massive dataset transfers efficiently with the pre-configured transfer properties in the environment where the network bandwidth is limited. Dynamic transfer adjustment was studied to enhance the BDM to handle significant end-to-end performance changes in the dynamic network environment as well as to control the data transfers for the desired transfer performance. We describe the results from the BDM transfer management for the climate datasets. We also describe the transfer estimation model and results from the dynamic transfer adjustment.

Sim, Alexander; Balman, Mehmet; Williams, Dean; Shoshani, Arie; Natarajan, Vijaya

2010-07-16T23:59:59.000Z

367

Geochemical Fingerprinting of Coltan Ores by Machine Learning on Uneven Datasets  

SciTech Connect (OSTI)

Two modern machine learning techniques, Linear Programming Boosting (LPBoost) and Support Vector Machines (SVMs), are introduced and applied to a geochemical dataset of niobium-tantalum ('coltan') ores from Central Africa to demonstrate how such information may be used to distinguish ore provenance, i.e., place of origin. The compositional data used include uni- and multivariate outliers and elemental distributions are not described by parametric frequency distribution functions. The 'soft margin' techniques of LPBoost and SVMs can be applied to such data. Optimization of their learning parameters results in an average accuracy of up to c. 92%, if spot measurements are assessed to estimate the provenance of ore samples originating from two geographically defined source areas. A parameterized performance measure, together with common methods for its optimization, was evaluated to account for the presence of uneven datasets. Optimization of the classification function threshold improves the performance, as class importance is shifted towards one of those classes. For this dataset, the average performance of the SVMs is significantly better compared to that of LPBoost.

Savu-Krohn, Christian, E-mail: christian.savu-krohn@unileoben.ac.at; Rantitsch, Gerd, E-mail: gerd.rantitsch@unileoben.ac.at [Montanuniversitaet Leoben, Department of Applied Geosciences and Geophysics (Austria); Auer, Peter, E-mail: auer@unileoben.ac.at [Chair for Information Technology, Montanuniversitaet Leoben (Austria); Melcher, Frank, E-mail: frank.melcher@bgr.de; Graupner, Torsten, E-mail: torsten.graupner@bgr.de [Federal Institute for Geosciences and Natural Resources (Germany)

2011-09-15T23:59:59.000Z

368

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

E-Print Network [OSTI]

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

Li, Mohan

2012-10-19T23:59:59.000Z

369

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

SciTech Connect (OSTI)

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

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

2014-03-31T23:59:59.000Z

370

Pricing statistics sourcebook. 5. edition  

SciTech Connect (OSTI)

Thousands of historical and current prices for crude oil, NGL, petroleum products, natural gas and electric power are presented in easy to read tables. The book includes spot, posted and future prices; prices by state and by country; and monthly and annual prices. Most monthly price series go back 25 years. This comprehensive source for energy industry prices is a must for anyone involved in planning and budgeting. The Pricing Statistics Sourcebook has all of the essential key energy price statistics needed for analysis of the US and international oil and gas industries. Also include: an appendix of IEA, OECD and OPEC member lists, conversion factors heat content of fuels; and major events affecting the oil and gas industry since 1859. The book includes a summary analysis of significant changes in key data series written by Bob Beck, Economics Editor of the Oil and Gas Journal.

NONE

1999-11-01T23:59:59.000Z

371

Parallel contingency statistics with Titan.  

SciTech Connect (OSTI)

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

Thompson, David C.; Pebay, Philippe Pierre

2009-09-01T23:59:59.000Z

372

area process research: Topics by E-print Network  

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

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

373

Datasets - OpenEI Datasets  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has beenFfe2fb55-352f-473b-a2dd-50ae8b27f0a6 No revision has been approved for thisDatabus - Q

374

Parallel auto-correlative statistics with VTK.  

SciTech Connect (OSTI)

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.

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

2013-08-01T23:59:59.000Z

375

E-Print Network 3.0 - arthritis consortium dataset Sample Search...  

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

of Wisconsin at Madison Collection: Biology and Medicine 14 Cross Haplotype Sharing Statistic: Haplotype length based method for whole genome association testing Summary: a...

376

Current Testbed Research  

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

Community Alex Sim (LBNL) (renewal) Project Summary To integrate massive climate change simulation datasets and the 100Gbps network transport and management technologies,...

377

The Role of Technology in Improving Student Learning of Statistics  

E-Print Network [OSTI]

Voorburg, The Netherland: International Statistical1-14). Voorburg, The Netherland: International Statistical

Chance, Beth; Ben-Zvi, Dani; Garfield, Joan; Medina, Elsa

2007-01-01T23:59:59.000Z

378

Seismic Attribute Analysis Using Higher Order Statistics  

E-Print Network [OSTI]

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...

Greenidge, Janelle Candice

2009-05-15T23:59:59.000Z

379

Kansas Statistical Abstract 2005 (40th Edition)  

E-Print Network [OSTI]

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, ...

Policy Research Institute

2008-10-21T23:59:59.000Z

380

Kansas Statistical Abstract 2001 (36th Edition)  

E-Print Network [OSTI]

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, ...

2002-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Kansas Statistical Abstract 2004 (39th Edition)  

E-Print Network [OSTI]

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, ...

Policy Research Institute

2006-01-31T23:59:59.000Z

382

Kansas Statistical Abstract 2003 (38th Edition)  

E-Print Network [OSTI]

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, ...

Policy Research Institute

2004-09-01T23:59:59.000Z

383

Kansas Statistical Abstract 2012 (47th Edition)  

E-Print Network [OSTI]

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

Institute for Policy & Social Research

2014-05-27T23:59:59.000Z

384

Kansas Statistical Abstract 2002 (37th Edition)  

E-Print Network [OSTI]

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, ...

2003-09-01T23:59:59.000Z

385

Stratigraphic statistical curvature analysis techniques  

SciTech Connect (OSTI)

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

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

1987-05-01T23:59:59.000Z

386

Transportation Statistics Annual Report 1997  

SciTech Connect (OSTI)

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

Fenn, M.

1997-01-01T23:59:59.000Z

387

The Statistics of Crumpled Paper  

E-Print Network [OSTI]

A statistical study of crumpled paper is allowed by a minimal 1D model: a self-avoiding line bent at sharp angles -- in which resides the elastic energy -- put in a confining potential. Many independent equilibrium configurations are generated numerically and their properties are investigated. At small confinement, the distribution of segment lengths is log-normal in agreement with previous predictions and experiments. At high confinement, the system approaches a jammed state with a critical behavior, whereas the length distribution follows a Gamma law which parameter is predicted as a function of the number of layers in the system.

Eric Sultan; Arezki Boudaoud

2005-09-06T23:59:59.000Z

388

On statistics of molecular chaos  

E-Print Network [OSTI]

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.

Yuriy Kuzovlev

2009-11-03T23:59:59.000Z

389

Nonstationary statistical theory for multipactor  

SciTech Connect (OSTI)

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

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

2010-06-15T23:59:59.000Z

390

FY98 To Present 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),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicy andExsolutionFES6FY 2011 OIG(SC) 2FY98 To Present Statistics

391

Development of a high-resolution bathymetry dataset for the Columbia River through the Hanford Reach  

SciTech Connect (OSTI)

A bathymetric and topographic data collection and processing effort involving existing and newly collected data has been performed for the Columbia River through the Hanford Reach in central Washington State, extending 60-miles from the tailrace of Priest Rapids Dam (river mile 397) to near the vicinity of the Interstate 182 bridge just upstream of the Yakima River confluence (river mile 337). The contents of this report provide a description of the data collections, data inputs, processing methodology, and final data quality assessment used to develop a comprehensive and continuous merged 1m resolution bathymetric and topographic surface dataset for the Columbia River through the Hanford Reach.

Coleman, Andre M.; Ward, Duane L.; Larson, Kyle B.; Lettrick, Joseph W.

2010-10-08T23:59:59.000Z

392

Reconstruction of Hessence Dark Energy and the Latest Type Ia Supernovae Gold Dataset  

E-Print Network [OSTI]

Recently, many efforts have been made to build dark energy models whose equation-of-state parameter can cross the so-called phantom divide $w_{de}=-1$. One of them is the so-called hessence dark energy model in which the role of dark energy is played by a non-canonical complex scalar field. In this work, we develop a simple method based on Hubble parameter $H(z)$ to reconstruct the hessence dark energy. As examples, we use two familiar parameterizations for $H(z)$ and fit them to the latest 182 type Ia supernovae Gold dataset. In the reconstruction, measurement errors are fully considered.

Hao Wei; Ningning Tang; Shuang Nan Zhang

2007-02-28T23:59:59.000Z

393

Reconstruction of a Deceleration Parameter from the Latest Type Ia Supernovae Gold Dataset  

E-Print Network [OSTI]

In this paper, a parameterized deceleration parameter $q(z)= 1/2 - a/(1 + z)^b$ is reconstructed from the latest type Ia supernovae gold dataset. It is found out that the transition redshift from decelerated expansion to accelerated expansion is at $z_T=0.35^{+0.14}_{-0.07}$ with $1\\sigma$ confidence level in this parameterized deceleration parameter. And, the best fit values of parameters in $1\\sigma$ errors are $a=1.56^{+0.99}_{-0.55}$ and $b=3.82^{+3.70}_{-2.27}$.

Lixin Xu; Chengwu Zhang; Baorong Chang; Hongya Liu

2007-01-17T23:59:59.000Z

394

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

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

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

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

395

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBenew20-Year Dataset of

396

A 22-Year Dataset of Surface Longwave Fluxes in the Arctic  

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),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBenew20-Year Dataset of22-Year

397

World Net Nuclear Electric Power Generation, 1980-2007 - Datasets - OpenEI  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperative JumpWilliamsonWoodson County,Worden, Montana: Energy|Datasets U.S.

398

Research Associate Position Defense Analysis Department  

E-Print Network [OSTI]

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

399

California Energy Balance ENVIRONMENTAL AREA RESEARCH  

E-Print Network [OSTI]

California Energy Balance Database ENVIRONMENTAL AREA RESEARCH PIER Environmental Research www.energy.ca.gov/research/ environmental January 2012 The Issue Comprehensive and reliable energy statistics are essential for good policy analysis and for future projections of energy supply and demand. In 2005, Lawrence Berkeley National Lab

400

University of New Mexico Bureau of Business and Economic Research  

E-Print Network [OSTI]

Employment Statistics 720 740 760 03 04 05 06 07 08 09 10 11 12 UNM Bureau of Business and Economic Research of Labor Statistics, Current Employment Statistics 0.86 0.88 0.90 03 04 05 06 07 08 09 10 11 12 New Mexico's coincident index Coincident index includes: · Nonfarm employment · Avg. hours worked in manufacturing

New Mexico, University of

Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Electric field statistics in MHD turbulence  

E-Print Network [OSTI]

Electric field statistics in MHD turbulence Bernard Knaepen, Nicolas Denewet & Daniele Carati, ULB #12;Electric field statistics in MHD turbulence Outline Electric field in MHD? Particle acceleration Statistics of the electric & magnetic fields #12;Outline Electric field in MHD? Particle acceleration

Low, Robert

402

Writing statistics project reports October 8, 2001  

E-Print Network [OSTI]

Writing statistics project reports S. Zachary October 8, 2001 This is a draft version projects. The need for such additional guidance is apparent from the thousands of reports we have marked is scientifically and statistically literate. Therefore you do not need to describe standard statistical procedures

Painter, Kevin

403

Statistical Physics of RNA folding Ralf Bundschuh  

E-Print Network [OSTI]

Statistical Physics of RNA folding Ralf Bundschuh Ohio State University August 15, 2007 Ralf Bundschuh (Ohio State University) Statistical Physics of RNA folding August 15, 2007 1 / 119 #12;Outline University) Statistical Physics of RNA folding August 15, 2007 2 / 119 #12;Part I Introduction to RNA biology

Bundschuh, Ralf

404

Evaluating statistic appropriateness for Bayesian model choice  

E-Print Network [OSTI]

Evaluating statistic appropriateness for Bayesian model choice Jean-Michel Marin I3M, UMR CNRS 5149, Universit´e Montpellier 2. France. Natesh S. Pillai Department of Statistics, Harvard University, Cambridge Rousseau ENSAE and CREST, Paris, France. Summary. The choice of the summary statistics in Bayesian

Paris-Sud XI, Université de

405

Statistical mechanics and ocean circulation Rick Salmon  

E-Print Network [OSTI]

Statistical mechanics and ocean circulation Rick Salmon Scripps Institution of Oceanography, UCSD equilibrium statistical mechanics based upon the conservation of energy and potential enstrophy to the mass. The equilibrium state resembles the buoyancy structure actually observed. Key words: statistical mechanics, ocean

Salmon, Rick

406

STATISTICS COLLOQUIUM MONDAY, SEPTEMBER 12, 2011  

E-Print Network [OSTI]

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

Schrag, Daniel

407

Linearity -statistics 1.1B training  

E-Print Network [OSTI]

Linearity - statistics IPAT 1.1B training 300M training D0 resolution is evaluated using 100k. Black is a bank with 3.5 times as much statistics. There may be a hint of slight improvement;Narrow beam + high statistics IPAT Default FTK constants Narrow-beam constants Reconstruction performance

408

Statistics and Causal Inference PAUL W. HOLLAND*  

E-Print Network [OSTI]

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

Fitelson, Branden

409

Statistics Department University of California, Berkeley  

E-Print Network [OSTI]

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

California at Santa Cruz, University of

410

STATISTICS COLLOQUIUM MONDAY, MARCH 24, 2014  

E-Print Network [OSTI]

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

Schrag, Daniel

411

Statistics beyond Physics -Misused in Public ?  

E-Print Network [OSTI]

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

Kobe, Sigismund

412

Department of Statistics University of California, Berkeley  

E-Print Network [OSTI]

.berkeley.edu 367A Evans Hall 510-642-1430 510-643-6131 | cco@stat.berkeley.edu Undergraduate major website: http://www.stat.berkeley.edu/?id evaluated by assist.org or the Math Department) are acceptable. Core Statistics Courses (2 courses): Stat 134 (or 101) Concepts of Probability Stat 135 (or 102) Concepts of Statistics Statistics Electives (3

El Karoui, Noureddine

413

FISHERY STATISTICS OF THE UNITED STATES  

E-Print Network [OSTI]

FISHERY STATISTICS OF THE UNITED STATES 1946 BY A. W. ANDERSON and E. A. POWER UNITED STATES GOVERNMENT Statistics of the United States, 1946 #12;FISHERY STATISTICS OF THE UNITED STATES: 1946 By A. W. ANDERSON City 129 Section 4. - Chesapeake Fisheries 131 Sectional Summaries 133 Mary I and 137 Vi rginia 140

414

Developing Scottish Priorities for MRSA Research  

E-Print Network [OSTI]

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

Glasgow, University of

415

Accuracy and reliability of China's energy statistics  

SciTech Connect (OSTI)

Many observers have raised doubts about the accuracy and reliability of China's energy statistics, which show an unprecedented decline in recent years, while reported economic growth has remained strong. This paper explores the internal consistency of China's energy statistics from 1990 to 2000, coverage and reporting issues, and the state of the statistical reporting system. Available information suggests that, while energy statistics were probably relatively good in the early 1990s, their quality has declined since the mid-1990s. China's energy statistics should be treated as a starting point for analysis, and explicit judgments regarding ranges of uncertainty should accompany any conclusions.

Sinton, Jonathan E.

2001-09-14T23:59:59.000Z

416

Slow Roll Reconstruction: Constraints on Inflation from the 3 Year WMAP Dataset  

E-Print Network [OSTI]

We study the constraints on the inflationary parameter space derived from the 3 year WMAP dataset using ``slow roll reconstruction'', using the SDSS galaxy power spectrum to gain further leverage where appropriate. This approach inserts the inflationary slow roll parameters directly into a Monte Carlo Markov chain estimate of the cosmological parameters, and uses the inflationary flow hierarchy to compute the parameters' scale-dependence. We work with the first three parameters (epsilon, eta and xi) and pay close attention to the possibility that the 3 year WMAP dataset contains evidence for a ``running'' spectral index, which is dominated by the xi term. Mirroring the WMAP team's analysis we find that the permitted distribution of xi is broad, and centered away from zero. However, when we require that inflationary parameters yield at least 30 additional e-folds of inflation after the largest observable scales leave the horizon, the bounds on xi tighten dramatically. We make use of the absence of an explicit pivot scale in the slow roll reconstruction formalism to determine the dependence of the computed parameter distributions on the pivot. We show that the choice of pivot has a significant effect on the inferred constraints on the inflationary variables, and the spectral index and running derived from them. Finally, we argue that the next round of cosmological data can be expected to place very stringent constraints on the region of parameter space open to single field models of slow roll inflation.

Hiranya Peiris; Richard Easther

2006-10-12T23:59:59.000Z

417

Evaluation of Global Monsoon Precipitation Changes based on Five Reanalysis Datasets  

SciTech Connect (OSTI)

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

Lin, Renping; Zhou, Tianjun; Qian, Yun

2014-02-01T23:59:59.000Z

418

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

E-Print Network [OSTI]

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

Wheatley, Spencer; Sornette, Didier

2015-01-01T23:59:59.000Z

419

STATISTICS and PROBABILITY Statistics is the science and practice of developing  

E-Print Network [OSTI]

STATISTICS and PROBABILITY Definition Statistics is the science and practice of developing human knowledge through the use of empirical data expressed in quantitative form. It is based on statistical theory which is supposed to be a branch of applied mathematics. Within statistical theory, randomness

Bolch, Tobias

420

STATISTICS DEPARTMENT CODE 1 REVISED JANUARY 2003 OF THE DEPARTMENT OF STATISTICS  

E-Print Network [OSTI]

STATISTICS DEPARTMENT CODE 1 REVISED JANUARY 2003 CODE1 OF THE DEPARTMENT OF STATISTICS Colorado and primary appointment outside of Statistics [see (q)], and "regular faculty" comprises those faculty holding in Statistics as defined by the Academic Faculty and Administrative Professional Manual). A quorum for any

Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

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

E-Print Network [OSTI]

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.

422

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

E-Print Network [OSTI]

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.

423

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

SciTech Connect (OSTI)

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

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

2014-06-01T23:59:59.000Z

424

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

E-Print Network [OSTI]

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

Barbu, Adrian

425

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

Office of Science (SC) Website

a Glance User Resources User Statistics Policies and Processes Definition Designation Process User Statistics Collection Practices User Statistics Collection Practices Archives...

426

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

Broader source: Energy.gov [DOE]

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

427

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

Broader source: Energy.gov [DOE]

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

428

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

Broader source: Energy.gov [DOE]

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

429

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

Broader source: Energy.gov [DOE]

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

430

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

Broader source: Energy.gov [DOE]

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

431

Statistical Hot Channel Analysis for the NBSR  

SciTech Connect (OSTI)

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

Cuadra A.; Baek J.

2014-05-27T23:59:59.000Z

432

RESEARCH SUMMARY DAVID WILLIAM KNOWLES  

E-Print Network [OSTI]

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

Knowles, David William

433

Statistical assessment of Monte Carlo distributional tallies  

SciTech Connect (OSTI)

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.

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

2010-12-09T23:59:59.000Z

434

Exploring the Properties of Dark Energy Using Type Ia Supernovae and Other Datasets  

E-Print Network [OSTI]

We reconstruct dark energy properties from two complementary supernova datasets -- the newly released Gold+HST sample and SNLS. The results obtained are consistent with standard $\\Lambda$CDM model within $2\\sigma$ error bars although the Gold+HST data favour evolving dark energy slightly more than SNLS. Using complementary data from baryon acoustic oscillations and the cosmic microwave background to constrain dark energy, we find that our results in this case are strongly dependent on the present value of the matter density $\\Omega_m$. Consequently, no firm conclusions regarding constancy or variability of dark energy density can be drawn from these data alone unless the value of $\\Omega_m$ is known to an accuracy of a few percent. However, possible variability is significantly restricted if this data is used in conjunction with supernova data.

Ujjaini Alam; Varun Sahni; Alexei A. Starobinsky

2006-12-14T23:59:59.000Z

435

Statistical Mechanics and Quantum Cosmology  

E-Print Network [OSTI]

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.

B. L. Hu

1995-11-29T23:59:59.000Z

436

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

SciTech Connect (OSTI)

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

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

2003-02-27T23:59:59.000Z

437

18.441 Statistical Inference, Spring 2002  

E-Print Network [OSTI]

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 ...

Hardy, Michael

438

Essays on microeconomics and statistical decision making  

E-Print Network [OSTI]

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

Nieto Barthaburu, Augusto

2006-01-01T23:59:59.000Z

439

Moore honored with American Statistical Association award  

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

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

440

Statistical Modeling of Pipeline Delay and Design of Pipeline under Process Variation to Enhance Yield in sub-100nm Technologies*  

E-Print Network [OSTI]

Statistical Modeling of Pipeline Delay and Design of Pipeline under Process Variation to Enhance), Intel Corp. and Semiconductor Research Corp. (SRC). Abstract Operating frequency of a pipelined circuit is determined by the delay of the slowest pipeline stage. However, under statistical delay variation in sub-100

Paris-Sud XI, Université de

Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Research Statement  

E-Print Network [OSTI]

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

2015-01-18T23:59:59.000Z

442

Research Highlight  

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

Madden-Julian Oscillation Heating: to Tilt or Not to Tilt For original submission and image(s), see ARM Research Highlights http:www.arm.govsciencehighlights Research...

443

Research Library  

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

LANL Research Library: delivering essential knowledge services for national security sciences since 1947 About the Research Library The Basics Mission We deliver agile, responsive...

444

STATISTICAL MECHANICS MODELING OF MESOSCALE DEFORMATION IN METALS  

SciTech Connect (OSTI)

The research under this project focused on a theoretical and computational modeling of dislocation dynamics of mesoscale deformation of metal single crystals. Specifically, the work aimed to implement a continuum statistical theory of dislocations to understand strain hardening and cell structure formation under monotonic loading. These aspects of crystal deformation are manifestations of the evolution of the underlying dislocation system under mechanical loading. The project had three research tasks: 1) Investigating the statistical characteristics of dislocation systems in deformed crystals. 2) Formulating kinetic equations of dislocations and coupling these kinetics equations and crystal mechanics. 3) Computational solution of coupled crystal mechanics and dislocation kinetics. Comparison of dislocation dynamics predictions with experimental results in the area of statistical properties of dislocations and their field was also a part of the proposed effort. In the first research task, the dislocation dynamics simulation method was used to investigate the spatial, orientation, velocity, and temporal statistics of dynamical dislocation systems, and on the use of the results from this investigation to complete the kinetic description of dislocations. The second task focused on completing the formulation of a kinetic theory of dislocations that respects the discrete nature of crystallographic slip and the physics of dislocation motion and dislocation interaction in the crystal. Part of this effort also targeted the theoretical basis for establishing the connection between discrete and continuum representation of dislocations and the analysis of discrete dislocation simulation results within the continuum framework. This part of the research enables the enrichment of the kinetic description with information representing the discrete dislocation systems behavior. The third task focused on the development of physics-inspired numerical methods of solution of the coupled dislocation kinetics and crystal mechanics framework. To a large extent, this task has also been successfully started. We have developed a custom finite-element approach with mesh points being a subset of the underlying crystal structure. When used to predict the evolution of the dislocation system, the planar motion of dislocations is naturally captured for all slip systems, thus minimizing numerical errors and providing simple ways to investigate cross slip and dislocation reactions. Preliminary results in this direction show that we are closer than ever in building a predictive framework for dislocation dynamics and mesoscale plasticity based on the first principles of dislocation dynamics. The rest of the report gives and overview of the research performed under this project and highlights the key results and open questions left for future investigations.

Anter El-Azab

2013-04-08T23:59:59.000Z

445

CALL FOR PROPOSALS OPEN TO RESEARCHERS IN MATHEMATICS AND THEORETICAL PHYSICS  

E-Print Network [OSTI]

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

van Tiggelen, Bart

446

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

E-Print Network [OSTI]

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

Hitchcock, Adam P.

447

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

E-Print Network [OSTI]

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

Olsen Jr., Dan R.

448

Taught Postgraduate programmes in the School of Mathematics and Statistics  

E-Print Network [OSTI]

, and graduate employment is close to 100%. Statistics and Mathematics are fascinating subjects that haveTaught Postgraduate programmes in the School of Mathematics and Statistics ·Advanced Statistics (MRes) ·Biostatistics (MSc) ·Environmental Statistics (MSc) ·Social Statistics (MSc) ·Statistics (MSc

Guo, Zaoyang

449

Data Mining for Selective Visualization of Large Spatial Datasets Shashi Shekhar , ChangTien Lu y , Pusheng Zhang, Rulin Liu  

E-Print Network [OSTI]

Data Mining for Selective Visualization of Large Spatial Datasets Shashi Shekhar #3; , Chang of visually exploring data for pattern and trend analysis, and it is a common method of browsing spatial for observing the summarization of spatial patterns and temporal trends. We also present data mining algorithms

Shekhar, Shashi

450

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

E-Print Network [OSTI]

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

Crawfis, Roger

451

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

E-Print Network [OSTI]

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

Mueller, Klaus

452

SCHOOL OF MATHEMATICS AND STATISTICS Spring Semester MAS273 Statistical Modelling 2 hours  

E-Print Network [OSTI]

Continued #12;MAS273 3 (i) Agriculturists in Sheffield were interested in the effectiveness of 3 insectiMAS273 SCHOOL OF MATHEMATICS AND STATISTICS Spring Semester 2012­2013 MAS273 Statistical Modelling

453

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

E-Print Network [OSTI]

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

Kardar, Mehran

454

Soviet image pattern recognition research  

SciTech Connect (OSTI)

This report is an assessment of the published Soviet image pattern recognition (IPR) research and was written by a panel of six US academic experts in that research field. Image pattern recognition is a set of technological research topics involving automatic or interactive computer processing of pictorial information, utilizing optical, electronic, and computer technologies. This report focuses on IPR system configuration (optical, hybrid, digital), and current research. The topical chapter headings are Image Processing Hardware and Software Preprocessing, Statistical Pattern Recognition, Computer Vision, and Optical Techniques and Systems. Soviet research in all areas of IPR is strong in theory, but limited by poor availability of equipment for generating and handling digital images, and digital computer hardware and software. Nevertheless, some Soviet IPR achievements compare favorably with those of the West. There is strong Soviet research in statistical pattern recognition, where fundamental relationships related to the factors determining error rates in classification of images are being developed. There has been good Soviet work in enhancement and restoration of images (visible and radar) of the surface of Venus. There is a strong Soviet development program in optics and optical processing related to IPR. Nevertheless, the state of Soviet research in computer vision is ten to fifteen years behind the West, because of the lack of adequate hardware and software. The Soviet scientists in the area appear competent and knowledgeable of Western work, so that any improvement in their research output would be derived from access to more capable equipment. 402 refs., 4 figs., 4 tabs.

McKenney, B.L.; McGrain, M. (eds.) (Science Applications International Corp., McLean, VA (USA). Foreign Applied Sciences Assessment Center); Klinger, A. (California Univ., Los Angeles, CA (USA). Dept. of Computer Science); Aggarwal, J.K. (Texas Univ., Austin, TX (USA)); George, N.J. (Rochester Univ., NY (USA). Inst. of Optics); Haralick, R.M. (Washington Univ., Seattle, WA (USA). Dept. of Electric

1989-12-01T23:59:59.000Z

455

QUEEN'S UNIVERSITY STAT 367: Engineering Statistics  

E-Print Network [OSTI]

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

Offin, Dan

456

Statistical Review of California's Organic Agriculture  

E-Print Network [OSTI]

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

Ferrara, Katherine W.

457

Statistical Model Computation with UDFs Carlos Ordonez  

E-Print Network [OSTI]

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

Ordonez, Carlos

458

An introduction to classical and statistical thermodynamics  

E-Print Network [OSTI]

An introduction to classical and statistical thermodynamics a conceptual understanding Kwok of thermodynamics ­ concept of energy conservation 4. Second law of thermodynamics ­ concept of entropy 5. Introduction to statistical thermodynamics 03/2011 K.W. Cheng, Thermodynamics 2 #12;3 1. Introduction · study

459

NONEQUILIBRIUM QUANTUM STATISTICAL MECHANICS AND THERMODYNAMICS #  

E-Print Network [OSTI]

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

460

Scientific Data Analysis via Statistical Learning  

E-Print Network [OSTI]

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

Geddes, Cameron Guy Robinson

Note: This page contains sample records for the topic "research statistical dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Bureau of Justice Statistics Program Report  

E-Print Network [OSTI]

Bureau of Justice Statistics Program Report July 2006, NCJ 211485 U.S. Department of Justice Office security, employment, licensing, and related economic purposes, as required under recent legislation. The Bureau of Justice Statistics' National Criminal History Improvement Program (NCHIP) provides grants

Hemmers, Oliver

462

Inga Maslova Department of Mathematics and Statistics  

E-Print Network [OSTI]

Inga Maslova Department of Mathematics and Statistics American University, Washington, D.C. 20016 Phone: (202) 885-3132 E-mail: Maslova@american.edu EMPLOYMENT American University, Washington D.C., USA Assistant Professor, Department of Mathematics and Statistics Sept 2009 ­ present Utah State University

Lansky, Joshua

463

Mathematics and Statistics College of Engineering  

E-Print Network [OSTI]

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

Hickman, Mark

464

FISHERY STATISTICS OF THE UNITED STATES  

E-Print Network [OSTI]

STATISTICS OF THE UNITED STATES 1945 BY A. W. ANDERSON and E. A. POWER UNITED STATES GOVERNMENT PRINTING: 1945 By A. W. ANDERSON, Chief, branch of Commercial Fisheries and E. A. POWEK, Chief, Statistical at New York City ' -- Section 4. - Chesapeake Fisheries Sect ional Summari es Mary I and V i rg i n i

465

Statistical Analysis of EXTREMES in GEOPHYSICS  

E-Print Network [OSTI]

Statistical Analysis of EXTREMES in GEOPHYSICS Zwiers FW and Kharin VV. 1998. Changes in the extremes of the climate simulated by CCC GCM2 under CO2 dou- bling. J. Climate 11:2200­2222. http://www.ral.ucar.edu/staff/ericg/readinggroup.html #12;Outline · Some background on Extreme Value Statistics ­ Extremal Types Theorem ­ Max

Gilleland, Eric

466

The Statistical Physics of Athermal Materials  

E-Print Network [OSTI]

At the core of equilibrium statistical mechanics lies the notion of statistical ensembles: a collection of microstates, each occurring with a given a priori probability that depends only on a few macroscopic parameters such as temperature, pressure, volume, and energy. In this review article, we discuss recent advances in establishing statistical ensembles for athermal materials. The broad class of granular and particulate materials is immune from the effects of thermal fluctuations because the constituents are macroscopic. In addition, interactions between grains are frictional and dissipative, which invalidates the fundamental postulates of equilibrium statistical mechanics. However, granular materials exhibit distributions of microscopic quantities that are reproducible and often depend on only a few macroscopic parameters. We explore the history of statistical ensemble ideas in the context of granular materials, clarify the nature of such ensembles and their foundational principles, highlight advances in testing key ideas, and discuss applications of ensembles to analyze the collective behavior of granular materials.

Dapeng Bi; Silke Henkes; Karen E. Daniels; Bulbul Chakraborty

2014-04-07T23:59:59.000Z

467

9. Statistical Energy Analysis (SEA) 80 9. Statistical Energy Analysis (SEA)  

E-Print Network [OSTI]

9. Statistical Energy Analysis (SEA) 80 _____________________________________________________________________________ 9. Statistical Energy Analysis (SEA) 9.1 Introduction In this chapter an introduction to a framework denoted Statistical Energy Analysis was developed in the 1960's, to a great extent to clarify and handle

Berlin,Technische Universität

468

STAT 152: Introduction to Statistics -Fall 2013 Department of Mathematics and Statistics, University of Nevada Reno  

E-Print Network [OSTI]

STAT 152: Introduction to Statistics - Fall 2013 Department of Mathematics and Statistics TA or the instructor during our office hours. Course Description and Prerequisites: STAT 152://www.knowledgecenter.unr.edu/dataworks/citrixinfo.html with your Net ID. The knowledge of MINITAB will help you with your statistical projects long after we

Kozubowski, Tomasz J.

469

STAT 152: Introduction to Statistics -Fall 2012 Department of Mathematics and Statistics, University of Nevada Reno  

E-Print Network [OSTI]

STAT 152: Introduction to Statistics - Fall 2012 Department of Mathematics and Statistics TA or the instructor during our office hours. Course Description and Prerequisites: STAT 152://www.knowledgecenter.unr.edu/dataworks/citrixinfo.html with your Net ID. The knowledge of MINITAB will help you with your statistical projects long after we

Kozubowski, Tomasz J.

470

Biophotons, coherence and photocount statistics: a critical review  

E-Print Network [OSTI]

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

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

2015-02-25T23:59:59.000Z

471

Scalable k-means statistics with Titan.  

SciTech Connect (OSTI)

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

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

2009-11-01T23:59:59.000Z

472

Statistical regimes of random laser fluctuations  

SciTech Connect (OSTI)

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

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

2007-06-15T23:59:59.000Z

473

Statistical Properties of a Quantum Cellular Automaton  

E-Print Network [OSTI]

We study a quantum cellular automaton (QCA) whose time-evolution is defined from global transition function of classical cellular automata (CA). In order to investigate natural transformations from CA to QCA, the present QCA includes CA with Wolfram's rule 150 and 105 as special cases. We firstly compute the time-evolution of the QCA and examine its statistical properties. As a basic statistical value, the probability of finding an active cell averaged over a spatial-temporal space is introduced, and the difference between CA and QCA is considered. In addition, it is shown that statistical properties in QCA are related to the classical trajectory in the configuration space.

Norio Inui; Shuichi Inokuchi; Yoshihiro Mizoguchi; Norio Konno

2005-06-28T23:59:59.000Z

474

Quantum Statistical Processes in the Early Universe  

E-Print Network [OSTI]

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.

B. L. Hu

1993-02-22T23:59:59.000Z

475

An accurate determination of the Hubble constant from Baryon Acoustic Oscillation datasets  

E-Print Network [OSTI]

Even though the Hubble constant cannot be significantly determined by the low-redshift Baryon Acoustic Oscillation (BAO) data alone, it can be tightly constrained once the high-redshift BAO data are combined. Combining BAO data from 6dFGS, BOSS DR11 clustering of galaxies, WiggleZ and $z=2.34$ from BOSS DR11 quasar Lyman-$\\alpha$ forest lines, we get $H_0=68.17^{+1.55}_{-1.56}$ km s$^{-1}$ Mpc$^{-1}$. In addition, adopting the the simultaneous measurements of $H(z)$ and $D_A(z)$ from the two-dimensional two-point correlation function from BOSS DR9 CMASS sample and two-dimensional matter power spectrum from SDSS DR7 sample, we obtain $H_0=68.11\\pm1.69$ km s$^{-1}$ Mpc$^{-1}$. Finally, combining all of the BAO datasets, we conclude $H_0=68.11\\pm 0.86$ km s$^{-1}$ Mpc$^{-1}$, a 1.3% determination.

Cheng Cheng; Qing-Guo Huang

2014-09-22T23:59:59.000Z

476

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

SciTech Connect (OSTI)

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

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

2013-05-22T23:59:59.000Z

477

Statistical physics of networks, information and complex systems  

SciTech Connect (OSTI)

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

Ecke, Robert E [Los Alamos National Laboratory

2009-01-01T23:59:59.000Z

478

Statistical analysis of correlated fossil fuel securities  

E-Print Network [OSTI]

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 ...

Li, Derek Z

2011-01-01T23:59:59.000Z

479

ALICIA L. CARRIQUIRY Department of Statistics  

E-Print Network [OSTI]

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

Carriquiry, Alicia

480

Structured Language Models for Statistical Machine Translation  

E-Print Network [OSTI]

Structured Language Models for Statistical Machine Translation Ying Zhang CMU-LTI-09-009 Language of Doctor of Philosophy In Language and Information Technologies © 2009, Ying Zhang #12;c Copyright Ying

Eskenazi, Maxine

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481

STATISTICS 590 STUDENT EXPERIMENTAL DESIGN PROJECT  

E-Print Network [OSTI]

STATISTICS 590 STUDENT EXPERIMENTAL DESIGN PROJECT SPRING 2010 1. Project You are to design with me as needed. 2. Procedures and Dates A one-page sketch, containing the essential elements

Buyske, Steve

482

Statistical Risk Estimation for Communication System Design  

E-Print Network [OSTI]

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

483

Intelligent Transportation Systems Deployment Statistics Database  

E-Print Network [OSTI]

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

484

Statistical criteria for characterizing irradiance time series.  

SciTech Connect (OSTI)

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.

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

2010-10-01T23:59:59.000Z

485

Statistical semantic processing using Markov logic  

E-Print Network [OSTI]

Markov Logic (ML) is a novel approach to Natural Language Processing tasks [Richardson and Domingos, 2006; Riedel, 2008]. It is a Statistical Relational Learning language based on First Order Logic (FOL) and Markov ...

Meza-Ruiz, Ivan Vladimir

2009-01-01T23:59:59.000Z

486

Generalized binomial distribution in photon statistics  

E-Print Network [OSTI]

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.

Aleksey Ilyin

2014-11-20T23:59:59.000Z

487

Statistical models for natural scene data  

E-Print Network [OSTI]

This thesis considers statistical modelling of natural image data. Obtaining advances in this field can have significant impact for both engineering applications, and for the understanding of the human visual system. Several recent advances...

Kivinen, Jyri Juhani

2014-06-27T23:59:59.000Z

488

FISHERY STATISTICS OF THE UNITED STATES  

E-Print Network [OSTI]

Frozen Fish Trade __---_-- - 40 Fish Frozen ^0 Holdings '^'^ Cold-storage Holdings of Cured Fish ^-V maximum yields without depletion. Previous statistical reports on the fishery industries were issued under

489

FISHERY STATISTICS QF THE UNITED STATES  

E-Print Network [OSTI]

43 Cold-storage Holdings of Cured Fish 46 Foreign Fishery -Trade 47 Exports 48 Imports 49 Fisheries depletion. Previous statistical reports on the fishery industries issued under the Department

490

Kansas Statistical Abstract 2007 (42nd Edition)  

E-Print Network [OSTI]

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

Policy Research Institute

2008-10-21T23:59:59.000Z

491

Kansas Statistical Abstract 2008 (43rd Edition)  

E-Print Network [OSTI]

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

Policy Research Institute

2009-09-21T23:59:59.000Z

492

Kansas Statistical Abstract 2009 (44th Edition)  

E-Print Network [OSTI]

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

Policy Research Institute

2011-03-02T23:59:59.000Z

493

Statistics of particle time-temperature histories.  

SciTech Connect (OSTI)

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

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

2014-10-01T23:59:59.000Z

494

Statistical Properties of Quantum Graph Spectra  

E-Print Network [OSTI]

A general analytical approach to the statistical description of quantum graph spectra based on the exact periodic orbit expansions of quantum levels is discussed. The exact and approximate expressions obtained in \\cite{Anima} for the probability distribution functions using the spectral hierarchy method are analyzed. In addition, the mechanism of appearance of the universal statistical properties of spectral fluctuations of quantum-chaotic systems is considered in terms of the semiclassical theory of periodic orbits.

Yu. Dabaghian

2006-08-09T23:59:59.000Z

495

Statistical Mechanics of Two-dimensional Foams  

E-Print Network [OSTI]

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.

Marc Durand

2010-09-07T23:59:59.000Z

496

Statistical properties of chaotic binary sequences  

E-Print Network [OSTI]

Mean value and cross-covariance function of chaotic binary sequences are evaluated for chaotic maps with specific properties. We also take into account the effect of fixed- and floating-point representations on statistical properties of chaotic generators. Thus, one is able to obtain possible candidates for pseudo-random binary sequences generation. Results of statistical tests applied to chaotic binary sequences are presented. The chaotic binary sequences thus obtained could be used for security improvement in IEEE 802.11 standard.

Bogdan Cristea

2008-05-28T23:59:59.000Z

497

Statistical Analysis of CCD Data: Error Analysis/Noise Theorem  

E-Print Network [OSTI]

Statistical Analysis of CCD Data: Error Analysis/Noise Theorem Why Statistical Approach? Systematic Errors Random Errors (= Statistical Errors) Accuracy and Precision Best Estimator: Mean, Median Distribution Statistical CCD Data Analysis #12;Why do we need statistical analysis? (= Why do we need to worry

Peletier, Reynier

498

Statistical Energy Analysis and the second principle of thermodynamics  

E-Print Network [OSTI]

Statistical Energy Analysis and the second principle of thermodynamics Alain Le Bot Abstract Statistical Energy Analysis is a statistical method in vibroacoustics en- tirely based on the application discussed. 1 Introduction Statistical Energy Analysis [1, 2] is born from the application of statistical

Paris-Sud XI, Université de

499

Laser photon statistics in the feedback loop  

E-Print Network [OSTI]

A mere correspondence between the electron statistics and the photon one vanishes in the feedback loop (FBL). It means that the direct photodetection, supplying us with the electron statistics, does not provide us with a wished information about the laser photon statistics. For getting this information we should think up another measurement procedure, and we in the article suggest applying the three-level laser as a auxiliary measuring device. This laser has impressive property, namely, its photon statistics survive information about the initial photon statistics of the laser which excites coherently the three-level medium. Thus, if we choose the laser in the FBL as exciting the three-level laser, then we have an possibility to evaluate its initial photon statistics by means of direct detecting the three-level laser emission. Finally, this approach allows us to conclude the feedback is not capable of creating a regularity in the laser light beam. Contrary, the final photon fluctuations turn out to be always even bigger. The mentioned above feature of the three-level laser takes place only for the strong interaction between the lasers (exciting and excited). It means the initial state of the exciting laser is changed dramatically, so our measurement procedure can not be identified with some non-demolition one.

T. Yu. Golubeva; Yu. M. Golubev

2005-04-23T23:59:59.000Z

500

Network-based statistical comparison of citation topology of bibliographic databases  

E-Print Network [OSTI]

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

ubelj, Lovro; Bajec, Marko

2015-01-01T23:59:59.000Z