Cover image for Robust nonparametric statistical methods
Title:
Robust nonparametric statistical methods
Author:
Hettmansperger, Thomas P., 1939-
ISBN:
9781439809099
Edition:
2nd ed.
Publication Information:
Boca Raton, Fla. : CRC Press, 2011.
Physical Description:
xvii, 535 p. : ill.
Series:
Monographs on statistics and applied probability ; 113
Series Title:
Monographs on statistics and applied probability ; 113
Contents:
1. One-sample problems -- 2. Two-sample problems -- 3. Linear models -- 4. Experimental designs : fixed effects -- 5. Models with dependent error structure -- 6. Multivariate.
Abstract:
"Often referred to as distribution-free methods, nonparametric methods do not rely on assumptions that the data are drawn from a given probability distribution. With an emphasis on Wilcoxon rank methods that enable a unified approach to data analysis, this book presents a unique overview of robust nonparametric statistical methods. Drawing on examples from various disciplines, the relevant R code for these examples, as well as numerous exercises for self-study, the text covers location models, regression models, designed experiments, and multivariate methods. This edition features a new chapter on cluster correlated data"-- Provided by publisher.
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