Robust nonparametric statistical methods / Thomas P. Hettmansperger ; Joseph W. McKean.
Material type:
- 9781439809082 (hardback)
- 519.5 22 HET/R
- MAT029000
Item type | Current library | Home library | Call number | Status | Date due | Barcode | Item holds |
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Central Library, IIT Bhubaneswar | Central Library, IIT Bhubaneswar | 519.5 HET/R (Browse shelf(Opens below)) | Available | TB157 | ||
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Central Library, IIT Bhubaneswar | Central Library, IIT Bhubaneswar | 519.5 HET/R (Browse shelf(Opens below)) | Available | TB158 | ||
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Central Library, IIT Bhubaneswar | Central Library, IIT Bhubaneswar | 519.5 HET/R (Browse shelf(Opens below)) | Not for loan | TB159 |
Includes bibliographical references and indexes.
"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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