Robust nonparametric statistical methods Cover

Robust nonparametric statistical methods

ISBN/ASIN: 9781439809082,1439809089 | 2011 | pdf | xvii, 535 p. : ill. ; 27 cm/532 pages | 5.09 Mb
Publisher: CRC Press | Author: Thomas P Hettmansperger; Joseph W McKean | Edition: 2nd ed

"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"– Read more…

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