Robust Nonparametric Statistical Methods

Joseph W. McKean & Thomas P. Hettmansperger

ISBN 10: 1439809089 ISBN 13: 9781439809082

Editorial: CRC Press, 2011

Idioma: Ingl�s

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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.

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Detalles bibliogr�ficos

T�tulo: Robust Nonparametric Statistical Methods
Editor: CRC Press
Fecha de publicaci�n: 2011
Idioma: Ingl�s
ISBN 10: 1439809089
ISBN 13: 9781439809082
Encuadernaci�n: Encuadernaci�n de tapa dura
Edici�n: 2.
Estado: Good

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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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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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Thank you for taking an interest in one of our books. We are a mail-order only bookstore located in Bellingham, WA specializing in modern out-of-print books of all genres.

If you are an international customer, we ship internationally by UPS Worldwide Expedited. The average delivery time is 1 to 2 weeks, and each shipment can be fully tracked at www.ups.com. For international shipments, it is important to provide a valid phone number with your order. Most international shipments are delivered wit...

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