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Robust nonparametric statistical methods
~
Hettmansperger, Thomas P., (1939-)
Robust nonparametric statistical methods
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Robust nonparametric statistical methodsThomas P. Hettmansperger, Joseph W. McKean.
作者:
Hettmansperger, Thomas P.,
其他作者:
McKean, Joseph W.,
出版者:
Boca Raton, FL :CRC Press,c2011.
面頁冊數:
1 online resource (xvii, 535 p.) :ill.
標題:
Nonparametric statistics.
電子資源:
http://www.crcnetbase.com/isbn/978-1-4398-0908-2
ISBN:
9781439809099 (electronic bk.)
Robust nonparametric statistical methods
Hettmansperger, Thomas P.,1939-
Robust nonparametric statistical methods
[electronic resource] /Thomas P. Hettmansperger, Joseph W. McKean. - 2nd ed. - Boca Raton, FL :CRC Press,c2011. - 1 online resource (xvii, 535 p.) :ill. - Monographs on statistics and applied probability ;119. - Monographs on statistics and applied probability (Series) ;119..
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.
"Often referred to as distributionfree 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 selfstudy, the text covers location models, regression models, designed experiments, and multivariate methods. This edition features a new chapter on cluster correlated data"-
ISBN: 9781439809099 (electronic bk.)Subjects--Topical Terms:
182700
Nonparametric statistics.
Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: QA278.8 / .H47 2011
Dewey Class. No.: 519.5
Robust nonparametric statistical methods
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"Often referred to as distributionfree 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 selfstudy, the text covers location models, regression models, designed experiments, and multivariate methods. This edition features a new chapter on cluster correlated data"-
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http://www.crcnetbase.com/isbn/978-1-4398-0908-2
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