Permutation, Parametric, and Bootstrap Tests of Hypotheses
Introductory text on statistical hypothesis testing topics, covering permutation, parametric, and bootstrap methods. Useful for understanding comparative approaches and practical application in data analysis
Highlights
- multimethod hypothesis tests
- practical resampling guidance
- parametric and nonparametric contrast
Pros
- covers multiple hypothesis testing methods
- clear focus on nonparametric and resampling approaches
- suitable for statistics practitioners and students
- structured by Springer Series in Statistics branding
Cons
- title and branding imply academic focus
- no available features listed
- no customer-supplied insights provided
