Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R

Preface

This book deals with nonparametric statistical solutions for hypotheses testing problems and codes for the software environment R for the application of these solutions. In particular rank based and permutation procedures are presented and discussed, also considering real-world application problems related to engineering, economics, educational sciences, biology, medicine and several other scientific disciplines. Since the importance of nonparametric methods in modern statistics continues to grow, the goal of the book consists of providing effective, simple and user friendly instruments for applying these methods.

The statistical techniques are described mainly highlighting properties and applicability of the methods in relation to application problems, with the intention of providing methodological solutions to a wide range of problems. Hence this book presents a practical approach to nonparametric statistical analysis and includes comprehensive coverage of both established and recently developed methods. This ‘problem oriented’ approach makes the book useful also for non-statisticians. All the considered problems are real problems faced by the authors in their activities of academic counseling or found in the literature in their teaching and research activities. Sometimes data are exactly the same as in the original problem (and the data source is cited) but in most cases data are simulated and not real.

All R codes are commented and made available through the book’s ...