John Kloke, Joseph W. McKean

Nonparametric Statistical Methods Using R (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book 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 npsm, which are available on CRAN. Each chapter includes exercises, making the book suitable for an undergraduate or graduate course.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 287
• Erscheinungstermin: 9. Oktober 2014
• Englisch
• ISBN-13: 9781439873441
• Artikelnr.: 45096866

Autorenporträt

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 a professor 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 is an associate editor of several statistics journals and a fellow of the American Statistical Association.

Inhaltsangabe

Getting Started with R, Basic Statistics. Two
Sample Problems. Regression I. ANOVA and ANCOVA. Time
to
Event Analysis. Regression II. Cluster Correlated Data. Bibliography. Index.