Permutation, Parametric, and Bootstrap Tests of Hypotheses

Phillip I. Good ★ 2.9/5 · ItemOracle Score Premium

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Permutation, Parametric, and Bootstrap Tests of Hypotheses (Springer Series in Statistics)

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

Best For

  • graduate statistics course
  • research data analysis
  • bootstrapping method demonstrations
  • hypothesis testing projects
  • parametric vs nonparametric comparison
  • statistical method review

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