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

By: Contributor(s): Material type: TextTextSeries: Monographs on statistics and applied probability ; 113.Publication details: Boca Raton, Fla. : CRC Press, 2011.Edition: 2nd edDescription: xvii, 535 p. : ill. ; [ca. 23-29] cmISBN:
  • 9781439809082
Subject(s): LOC classification:
  • QA278.8 .H47 2011
Available additional physical forms:
  • Also available as an electronic resource.
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.
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 Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 000SA.13 H591 (Browse shelf(Opens below)) Available 133766
Books ISI Library, Kolkata 000SA.13 H591 (Browse shelf(Opens below)) Available 133767
Total holds: 0

"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.

Includes bibliographical references (p. 495-520) and indexes.

1. One-sample problems -- 2. Two-sample problems -- 3. Linear models -- 4. Experimental designs : fixed effects -- 5. Models with dependent error structure -- 6. Multivariate.

"A Chapman & Hall book."

Also available as an electronic resource.

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