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Resampling Methods: A Practical Guide to Data Analysis
1 Descriptive Statistics.- 2 Cause and Effect.- 3 Testing Hypotheses.- 4 When the Distribution Is Known.- 5 Estimation.- 6 Power of a Test.- 7 Categorical Data.- 8 Experimental Design and Analysis.- 9 Multiple Variables and Multiple Hypotheses.- 10 Classification and Discrimination.- 11 Survival Analysis and Reliability.- 12 Which Statistic Should I Use?.- 1 Program Your Own Resampling Statistics.- 2 C++, SC, and Stata Code for Permutation Tests.- 3 SAS and S-PLUS Code for Bootstraps.- 4 Resampling Software.- Bibliographical References.
Kindle Edition
First published April 1, 1999
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