Robust nonparametric statistical methods
Hettmansperger, Thomas P., 1939-
Robust nonparametric statistical methods [electronic resource] / Thomas P. Hettmansperger, Joseph W. McKean. - 2nd ed. - Boca Raton, Fla. : CRC Press, 2011. - xvii, 535 p. : ill. - Monographs on statistics and applied probability ; 113 . - Monographs on statistics and applied probability ; 113. .
"A Chapman & Hall book."
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 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"--
Mode of access: World Wide Web.
9781439809099 (ebook : PDF)
Nonparametric statistics.
Robust statistics.
Electronic books.
Robust nonparametric statistical methods [electronic resource] / Thomas P. Hettmansperger, Joseph W. McKean. - 2nd ed. - Boca Raton, Fla. : CRC Press, 2011. - xvii, 535 p. : ill. - Monographs on statistics and applied probability ; 113 . - Monographs on statistics and applied probability ; 113. .
"A Chapman & Hall book."
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 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"--
Mode of access: World Wide Web.
9781439809099 (ebook : PDF)
Nonparametric statistics.
Robust statistics.
Electronic books.