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Sinopsis
Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical Methods, Second Edition covers univariate tests and estimates with extensions to linear models, multivariate models, times series models, experimental designs, and mixed models. It follows the approach of the first edition by developing rank-based methods from the unifying theme of geometry. This edition, however, includes more models and methods and significantly extends the possible analyses based on ranks.
New to the Second Edition
- A new section on rank procedures for nonlinear models
- A new chapter on models with dependent error structure, covering rank methods for mixed models, general estimating equations, and time series
- New material on the development of computationally efficient affine invariant/equivariant sign methods based on transform-retransform techniques in multivariate models
Taking a comprehensive, unified approach to statistical analysis, the book continues to describe one- and two-sample problems, the basic development of rank methods in the linear model, and fixed effects experimental designs. It also explores models with dependent error structure and multivariate models. The authors illustrate the implementation of the methods using many real-world examples and R. More information about the data sets and R packages can be found at www.crcpress.com
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Acerca del autor
Thomas P. Hettmansperger is a professor emeritus of statistics at Penn State University. Dr. Hettmansperger is a fellow of the American Statistical Association and Institute of Mathematical Statistics and an elected member of the International Statistical Institute. His research interests span nonparametric statistics, robust methods, and mixture models.
Joseph W. McKean is a professor of statistics at Western Michigan University. His research interests include robust nonparametric procedures for linear, nonlinear, and mixed models and times series designs. A fellow of the American Statistical Association, Dr. McKean has developed highly efficient and high breakdown procedures.
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Robust Nonparametric Statistical Methods (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
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CRC Press (edition 2), 2010
ISBN 10: 1439809089
ISBN 13: 9781439809082
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Robust Nonparametric Statistical Methods
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CRC Press December 2010, 2010
ISBN 10: 1439809089
ISBN 13: 9781439809082
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Robust Nonparametric Statistical Methods
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Condición: Good. 2. Good++; Hardcover; Covers are still glossy with a few small handling-marks; Unblemished textblock edges; The endpapers and all text pages are bright and unmarked; The binding is tight with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium-Large Format (Quatro, 9.75" - 10.75" tall); 2.5 lbs; Dark green covers with title in white lettering ; 2nd Edition; 2011, CRC Press; 535 pages; "Robust Nonparametric Statistical Methods," by Joseph W. McKean & Thomas P. Hettmansperger. Nº de ref. del artículo: SKU-0629AI05908153
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Robust Nonparametric Statistical Methods
Librería: Salish Sea Books, Bellingham, WA, Estados Unidos de America
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Condición: Good. 2. Good+; Hardcover; Withdrawn library copy with the standard library markings; Light wear to the covers; Library stamps to the endpapers; Text pages are clean & unmarked; Binding is excellent with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); 2.5 lbs; Dark green covers with title in white lettering ; 2nd Edition; 2011, CRC Press; 535 pages; "Robust Nonparametric Statistical Methods," by Joseph W. McKean & Thomas P. Hettmansperger. Nº de ref. del artículo: SKU-1648AK06507203
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Robust Nonparametric Statistical Methods (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
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Robust Nonparametric Statistical Methods (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
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Robust Nonparametric Statistical Methods (Chapman Hall/CRC Monographs on Statistics and Applied Probability)
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Robust Nonparametric Statistical Methods
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Taylor & Francis Group, 2010
ISBN 10: 1439809089
ISBN 13: 9781439809082
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