Robust nonparametric statistical methods / Thomas P. Hettmansperger ; Joseph W. McKean.

By:

Hettmansperger, Thomas P, 1939-

Contributor(s):

McKean, Joseph W, 1944-

Material type: Text

TextSeries: Chapman & hall/crc monographs on statistics & applied probabilityPublication details: Boca Raton, FL : CRC Press, c2011.Edition: 2nd edDescription: xvii, 535 p. : ill. ; 27 cmISBN:

9781439809082 (hardback)

Subject(s):

DDC classification:

519.5 22 HET/R

Other classification:

MAT029000

Summary: "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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Holdings
Item type	Current library	Home library	Call number	Status	Barcode
Text Book	Central Library, IIT Bhubaneswar	Central Library, IIT Bhubaneswar	519.5 HET/R (Browse shelf(Opens below))	Available	TB157
Text Book	Central Library, IIT Bhubaneswar	Central Library, IIT Bhubaneswar	519.5 HET/R (Browse shelf(Opens below))	Available	TB158
Course Reserve	Central Library, IIT Bhubaneswar	Central Library, IIT Bhubaneswar	519.5 HET/R (Browse shelf(Opens below))	Not for loan	TB159

Total holds: 0

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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