CHAPTER 18 Resampling and Nonparametric Approaches to Data
CHAPTER 18 Resampling and Nonparametric Approaches to Data
Objectives
To present resampling and nonparametric (distribution-free) procedures that can
be used for testing hypotheses but which rely on less restrictive assumptions
about populations than do previously discussed tests.
Contents
18.1 Bootstrapping as a General Approach
18.2 Bootstrapping with One Sample
18.3 Resampling with Two Related Samples
18.4 Resampling with Two Independent Samples
18.5 Bootstrapping Confidence Limits on a Correlation Coefficient
18.6 Wilcoxon’s Rank-Sum Test
18.7 Wilcoxon’s Matched-Pairs Signed-Ranks Test
18.8 The Sign Test
18.9 Kruskall–Wallis One-way Analysis of Variance
18.10 Friedman’s Rank Test fork Correlated Samples
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