John Kloke, Joseph McKean

Nonparametric Statistical Methods Using R (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This thoroughly updated and expanded second edition covers traditional nonparametric methods and rank-based analyses. Two new chapters covering multivariate analyses and big data have been added. Core classical nonparametrics chapters on one- and two-sample problems have been expanded

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 480
• Erscheinungstermin: 20. Mai 2024
• Englisch
• ISBN-13: 9781040025178
• Artikelnr.: 70336665

Autorenporträt

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.

Inhaltsangabe

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