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Nonparametric Statistical Methods, 3rd Edition
     

Nonparametric Statistical Methods, 3rd Edition

by Myles Hollander, Douglas A. Wolfe, Eric Chicken
 

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Praise for the Second Edition
“This book should be an essential part of the personal library of every practicing statistician.”Technometrics

 
Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical data sets, and new

Overview

Praise for the Second Edition
“This book should be an essential part of the personal library of every practicing statistician.”Technometrics

 
Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical data sets, and new problems from real-life situations. The book continues to emphasize the importance of nonparametric methods as a significant branch of modern statistics and equips readers with the conceptual and technical skills necessary to select and apply the appropriate procedures for any given situation.

Written by leading statisticians, Nonparametric Statistical Methods, Third Edition provides readers with crucial nonparametric techniques in a variety of settings, emphasizing the assumptions underlying the methods. The book provides an extensive array of examples that clearly illustrate how to use nonparametric approaches for handling one- or two-sample location and dispersion problems, dichotomous data, and one-way and two-way layout problems. In addition, the Third Edition features:

  • The use of the freely available R software to aid in computation and simulation, including many new R programs written explicitly for this new edition
  • New chapters that address density estimation, wavelets, smoothing, ranked set sampling, and Bayesian nonparametrics
  • Problems that illustrate examples from agricultural science, astronomy, biology, criminology, education, engineering, environmental science, geology, home economics, medicine, oceanography, physics, psychology, sociology, and space science
Nonparametric Statistical Methods, Third Edition is an excellent reference for applied statisticians and practitioners who seek a review of nonparametric methods and their relevant applications. The book is also an ideal textbook for upper-undergraduate and first-year graduate courses in applied nonparametric statistics. 

Editorial Reviews

Journal of Quality Technology
The second edition of Nonparametric Statistical Methods provides a complete, thorough, and in-depth presentation of various techniques in nonparametric statistics.
Booknews
In this upper-level undergraduate/first-year graduate textbook, examples drawn from actual experiments illustrate how to use nonparamatric approaches to handle one- or two-sample location and dispersion problems, dichotomous data, and one-way and two-way layout problems. The second edition includes new coverage of the bootstrap, contingency tables and the odds ratio, and life distributions and survival analysis. Annotation c. by Book News, Inc., Portland, Or.
From the Publisher
The second edition of Nonparametric Statistical Methods provides a complete, thorough, and in-depth presentation of various techniques in nonparametric statistics.-Journal of Quality Technology Vol. 33, No. 2, April 2001

"Hollander and Wolfe may have waited 25 years to update their book, but it would hardly have been possible for them to have done a new edition that is any more impressive than this second edition. ... This book should be an essential part of the personal library of every practicing statistician." (Technometrics, Vol. 41, No. 4, Nov. 1999)

Product Details

ISBN-13:
9781118553299
Publisher:
Wiley
Publication date:
11/25/2013
Series:
Wiley Series in Probability and Statistics
Sold by:
Barnes & Noble
Format:
NOOK Book
Pages:
848
File size:
58 MB
Note:
This product may take a few minutes to download.

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What People are Saying About This

From the Publisher
The second edition of Nonparametric Statistical Methods provides a complete, thorough, and in-depth presentation of various techniques in nonparametric statistics.-Journal of Quality Technology Vol. 33, No. 2, April 2001

"Hollander and Wolfe may have waited 25 years to update their book, but it would hardly have been possible for them to have done a new edition that is any more impressive than this second edition. ... This book should be an essential part of the personal library of every practicing statistician." (Technometrics, Vol. 41, No. 4, Nov. 1999)

Meet the Author

MYLES HOLLANDER is Robert O. Lawton Distinguished Professor of Statistics and Professor Emeritus at the Florida State University in Tallahassee. He served as editor of the Theory and Methods Section of the Journal of the American Statistical Association, 1993–96, and he received the Gottfried E. Noether Senior Scholar Award from the American Statistical Association in 2003.

DOUGLAS A. WOLFE is Professor and Chair Emeritus in the Department of Statistics at Ohio State University in Columbus. He is a two-time recipient of the Ohio State University Alumni Distinguished Teaching Award, in 1973–74 and 1988–89.

ERIC CHICKEN is Associate Professor at the Florida State University in Tallahassee. He is active in modern nonparametric statistics research fields, including functional analysis, sequential methods, and complex system applications.

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