1. Introduction
2. One-Sample Problems
3. Two-Sample Problems
4. Regression
5. ANOVA-Type Rank-Based Procedures
6. Categorical
7. Linear Models
8. Topics in Regression
9. Cluster Correlated Data
10. Multivariate Analysis
11. Big Data
Appendix - R Version Information
Biography
John D. Kloke is a bit of a jack-of-all-trades as he has worked as a clinical trial statistician supporting industry as well as academic studies and he also served as a teacher-scholar at several academic institutions. He has held faculty positions at the University of California - Santa Barbara, University of Wisconsin - Madison, University of Pittsburgh, Bucknell University, and Pomona College. An early adopter of R, he is an author and maintainer of numerous R packages, including Rfit and npsm. He has published papers on nonparametric rank-based estimation, including analysis of cluster correlated data.
Joseph W. McKean is a professor emeritus of statistics at Western Michigan University. He has published many papers on nonparametric and robust statistical procedures and has co-authored several books, including Robust Nonparametric Statistical Methods and Introduction to Mathematical Statistics. He co-edited the book Robust Rank-Based and Nonparametric Methods. He served as an associate editor of several statistics journals and is a fellow of the American Statistical Association.
"In my opinion, the authors of this book have successfully managed to compile a significant portion of the topics addressed in nonparametric statistics courses into a cohesive framework, with the difficulty of the material gradually increasing throughout. The accompanying code has been updated to ensure functionality. [...] I highly recommend this book to readers who are looking for practical insights into nonparametric statistics and prefer an applied approach, while still offering enough depth for those interested in theoretical study."
-Bojana Milošević in The American Statistician, May 2025
