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Confidence distribution
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#	Item
371	Calculating Upper Confidence Limits for Exposure Point Concentrations at Hazardous Waste Sites: December 2002 Add to Reading List Source URL: www.epa.gov Language: English - Date: 2011-05-19 15:28:03 Robust statistics Measurement Outlier Exposure assessment Censoring Risk assessment United States Environmental Protection Agency Detection limit Normal distribution Statistics Data analysis Reliability engineering
372	Original Paper Gene Expression Calculating Confidence Intervals for Prediction Error in Microarray Classification Using Resampling Wenyu Jiang§, Sudhir Varma§ and Richard Simon§ Add to Reading List Source URL: linus.nci.nih.gov Language: English* - Date: 2013-03-12 10:01:24 Bootstrapping Resampling Cross-validation Normal distribution Sample size determination Statistical hypothesis testing Gene expression profiling Prediction interval Margin of error Statistics Statistical inference Confidence interval
373	Package ‘ellipse’ July 2, 2014 Version 0.3-8 Date 2013-04-13 Title Functions for drawing ellipses and ellipse-like confidence regions Author Duncan Murdoch and E. D. Chow (porting Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:43:14 Conic sections Curves Ellipse Regression analysis Algebra of random variables Ellipsoid Confidence region Confidence interval Normal distribution Statistics Geometry Statistical inference
374	1985 Society for Industrial and Applied Mathematics 012 SIAM J. Scl. STAT. COMPUT. Vol. 6, No. 3, July 1985 Add to Reading List Source URL: math.nist.gov Language: English - Date: 2014-05-30 15:23:38 Regression analysis Confidence region Statistical inference Ellipsoid Multivariate normal distribution Variance Tikhonov regularization Covariance Normal distribution Statistics Estimation theory Linear algebra
375	Actively Learning Level-Sets of Composite Functions Brent Bryan Google Inc., 4720 Forbes Ave., Pittsburgh, PA[removed]BRENT @ GOOGLE . COM Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-04-30 19:27:55 Econometrics Statistical theory Data analysis Confidence interval Normal distribution Gaussian process Kriging Heuristic Variance Statistics Estimation theory Statistical inference
376	Package ‘RDS’ July 2, 2014 Type Package Title Respondent-Driven Sampling Version 0.6 Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 10:16:45 Bootstrapping Estimation theory Sampling Statistical hypothesis testing Normal distribution Parameter Confidence interval Null Statistics Statistical inference Estimator
377	Microsoft Word - obsrd2012final Add to Reading List Source URL: itd.idaho.gov Language: English - Date: 2012-11-07 17:36:43 Standard error Confidence interval Seat belt Statistical significance Van Normal distribution Statistics Measurement Statistical inference
378	Simple Random Sampling n items measured out of N possible items (sometimes N is inf inite ) n ∑y Add to Reading List Source URL: biometrics.forestry.ubc.ca Language: English - Date: 2013-06-11 13:15:31 Confidence interval Sample size determination Statistics Statistical inference Normal distribution
379	New URL: http://www.R-project.org/conferences/DSC[removed]Proceedings of the 3rd International Workshop on Distributed Statistical Computing (DSC[removed]March 20–22, Vienna, Austria ISSN 1609-395X Add to Reading List Source URL: www.r-project.org Language: English - Date: 2014-02-10 03:49:30 Graphical model Prior probability Confidence interval Gamma distribution Bayes factor Hierarchical Bayes model Statistics Bayesian statistics Bayesian network
380	PHYSTAT2003, SLAC, Stanford, California, September 8-11, 2003 Statistical Issues in Particle Physics – A View from BaBar 1 CALT[removed] Add to Reading List Source URL: www.hep.caltech.edu Language: English - Date: 2003-11-21 12:49:29 BaBar experiment Maximum likelihood Confidence interval Likelihood function Statistical significance Coverage probability Estimator Normal distribution Asymmetry Statistics Estimation theory Statistical inference