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Nonparametric Statistical Methods Using R (Chapman & Hall/CRC Texts in Statistical Science) - Softcover
Synopsis
A Practical Guide to Implementing Nonparametric and Rank-Based Procedures
Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated and correlated responses. The authors emphasize applications and statistical computation. They illustrate the methods with many real and simulated data examples using R, including the packages Rfit and
About the Author
John Kloke is a biostatistician and assistant scientist at the University of Wisconsin–Madison. He has held faculty positions at the University of Pittsburgh, Bucknell University, and Pomona College. An R user for more than 15 years, 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...
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- PublisherRoutledge
- Publication date2020
- ISBN 10 0367739720
- ISBN 13 9780367739720
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages288
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