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Resampling
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#	Item
31	Addendum to the Report to the UTK Faculty Senate Budget and Planning Committee on Analysis of Faculty Salary Data based upon Gender Add to Reading List Source URL: www.tiem.utk.edu Language: English - Date: 2007-06-29 02:41:03 Statistics Statistical inference Nonparametric statistics Statistical tests Probability distributions Senescence Bootstrapping MannWhitney U test Normal distribution Resampling Median Longevity
32	May 12, :59 WSPC - Proceedings Trim Size: 9.75in x 6.5in Add to Reading List Source URL: www.maths.usyd.edu.au Language: English - Date: 2008-05-12 13:59:27 Statistics Statistical theory Hypothesis testing Statistical inference Resampling Statistical hypothesis testing Confidence interval P-value False discovery rate Normal distribution Statistical significance Mode
33	Package ‘ipred’ July 28, 2015 Title Improved Predictors VersionDateDescription Improved predictive models by indirect classification and Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2015-07-28 16:41:26 Statistics Machine learning Ensemble learning Computational statistics Statistical inference Decision trees Bootstrap aggregating Random forest Bootstrapping Resampling Out-of-bag error Leo Breiman
34	paneljackknife28feb2006.dvi Add to Reading List Source URL: www.istfin.eco.usi.ch Language: English - Date: 2009-01-27 08:14:20 Statistics Estimation theory Statistical theory Statistical inference M-estimators Econometrics Consistent estimator Maximum likelihood estimation Jackknife resampling Estimator Delta method
35	MMDSBootstrapping r -Fold Tensor Data Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-03-09 01:30:04 Computational statistics Statistical inference Bootstrapping Resampling Multichannel Multipoint Distribution Service Bootstrap aggregating Variance
36	The bootstrap is a popular and powerful method for assessing precision of estimators and inferential methods. However, for massive datasets which are increasingly prevalent, the bootstrap becomes prohibitively costly in Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Statistical inference Computational statistics Bootstrapping Resampling Statistics Booting
37	Variance estimation for NAEP data using a comprehensive resampling-based approach: An application of cognitive diagnostic models1 Chueh-an Hsieh Michigan State University, East Lansing, Michigan, United States of America Add to Reading List Source URL: ierinstitute.org Language: English - Date: 2012-01-04 07:01:18 Statistical inference Psychometrics Statistical models National Assessment of Educational Progress United States Department of Education Item response theory Econometrics Rasch model Resampling Statistics Educational Testing Service Bootstrapping
38	Christiano FINC 520, Spring 2007 Final Exam. Please do this exam on your own. It is due in Emiliano Pagnotta’s box by noon, Thursday. 1. Consider the time series model you estimated in question 3, part (d) of Add to Reading List Source URL: faculty.wcas.northwestern.edu Language: English - Date: 2009-03-29 21:16:22 Bootstrapping Resampling Statistical inference Linear filters Digital signal processing
39	Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models Zhen Qin University of California, Riverside Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2015-05-14 15:51:40 Markov processes Graph theory Markov chain Gibbs sampling Probability distribution Bayesian network Resampling Sampling
40	Knowing When You’re Wrong: Building Fast and Reliable Approximate Query Processing Systems Sameer Agarwal† , Henry Milner† , Ariel Kleiner† , Ameet Talwalkar† , Michael Jordan† , Samuel Madden‡ , Barzan Moz Add to Reading List Source URL: web.eecs.umich.edu Language: English - Date: 2015-03-27 17:54:39 Statistical inference Computational statistics Summary statistics Sampling Estimation theory Bootstrapping Resampling Confidence interval Statistics Sample size determination M-estimator Mode