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Confidence distribution
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#	Item
291	C ONTRIBUTED RESEARCH ARTICLE 1 sgof: An R Package for Multiple Testing Problems Add to Reading List Source URL: journal.r-project.org Language: English - Date: 2014-11-25 11:20:02 P-value Confidence interval Statistical hypothesis testing Statistical power Statistical significance Beta-binomial distribution Multiple comparisons Normal distribution Resampling Statistics Hypothesis testing False discovery rate
292	START Selected Topics in Assurance Related Technologies Volume 11, Number 3 Add to Reading List Source URL: www.dsiac.org Language: English - Date: 2015-01-03 22:31:02 Poisson processes Reliability engineering Systems engineering Mean time between failures Failure rate Availability Exponential distribution Poisson distribution Confidence interval Statistics Survival analysis Failure
293	Discussion on ‘Confidence Intervals and Hypothesis Testing for High-Dimensional Regression’ Yen-Chi Chen and Yu-Xiang Wang Department of Statistics and Machine Learning Carnegie Mellon University This is a discussion Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-10-27 09:20:39 Hypothesis testing Statistical theory Parametric statistics Confidence interval Normal distribution Statistical power Consistent estimator Statistical hypothesis testing Linear regression Statistics Statistical inference Econometrics
294	Summary and discussion of: “Exact Post-selection Inference for Forward Stepwise and Least Angle Regression” Statistics Journal Club[removed]Jisu Kim and Veeranjaneyulu Sadhanala Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-11-16 13:05:09 Probability theory Parametric statistics Statistical inference Normal distribution Stepwise regression Linear regression Confidence interval Variance F-test Statistics Econometrics Regression analysis
295	Confidence Intervals and Hypothesis Testing for High-Dimensional Regression Adel Javanmard ∗ and Andrea Montanari † Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-08-27 17:53:38 Statistical theory M-estimators Parametric statistics Normal distribution Maximum likelihood Ordinary least squares Central limit theorem Bias of an estimator Variance Statistics Estimation theory Regression analysis
296	Exact Post-selection Inference for Forward Stepwise and Least Angle Regression Jonathan Taylor1 1 Richard Lockhart2 Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-10-13 14:36:18 Statistical methods Probability theory Estimation theory Linear regression Confidence interval Regression analysis Normal distribution Variance Covariance Statistics Econometrics Parametric statistics
297	An Overview of Some Concepts for Potential Use in Ranking Populations Based on Sample Survey Data Tommy Wright, Martin Klein, and Jerzy Wieczorek U. S. Bureau of the Census; Washington, D. C., USA Corresponding author: T Add to Reading List Source URL: civilstat.com Language: English - Date: 2013-12-22 17:00:53 Resampling Confidence interval Normal distribution Non-parametric statistics Parametric model Statistics Statistical inference Bootstrapping
298	[removed]Homework #5 Solutions[removed] Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-10-01 16:11:20 Memory Neuropsychological assessment Working memory Confidence interval Normal distribution Economic model Statistics Statistical inference Econometrics
299	Microsoft Word - DraftApril1.doc Add to Reading List Source URL: www.mtc.gov Language: English - Date: 2014-08-26 11:29:42 Resampling Confidence interval Sample size determination Normal distribution Errors and residuals in statistics Sampling Statistical hypothesis testing Regression analysis Standard error Statistics Statistical inference Bootstrapping
300	UNCLASSIFIED A-0001-NCCIC[removed]DISTRIBUTION NOTICE (A): THIS PRODUCT IS INTENDED FOR THE CYBERSECURITY, CRITICAL INFRASTRUCTURE AND / OR KEY RESOURCES COMMUNITY AT LARGE. Add to Reading List Source URL: msisac.cisecurity.org Language: English - Date: 2011-12-07 10:11:43 Internet Social engineering Electronic commerce Confidence tricks Phishing Internet fraud Online shopping Malware Internet privacy Cybercrime Computer crimes Spamming

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