Permutation, Parametric, and Bootstrap Tests of Hypotheses
Introductory text on statistical hypothesis testing using permutation, parametric, and bootstrap methods. Key benefit: practical approaches for evaluating hypotheses. Customer insight: cautiously rated 4.1 with multiple reviews
Highlights
- focus on permutation tests
- includes bootstrap methods
- alternative to parametric tests
Pros
- covers multiple testing methods
- practical approaches for hypothesis testing
- well-structured for statistics students
- scholarly reference in statistics
Cons
- no features listed
- no customer insights available beyond rating
- complex topics may require background knowledge