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Nonparametric Statistical Methods / Edition 2

Nonparametric Statistical Methods / Edition 2

by Myles Hollander, Douglas A. Wolfe


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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 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. 

Product Details

ISBN-13: 9780471190455
Publisher: Wiley
Publication date: 01/28/1999
Series: Wiley Series in Probability and Statistics Series , #336
Edition description: REV
Pages: 816
Product dimensions: 7.22(w) x 10.02(h) x 1.76(d)

About the Author

MYLES HOLLANDER is Robert O. Lawton Distinguished Professor of Statistics at Florida State University in Tallahassee. He served as editor of the Theory and Methods Section of the Journal of the American Statistical Association from 1993-96.

DOUGLAS A. WOLFE is a Professor 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.

Table of Contents

The Dichotomous Data Problem.

The One-Sample Location Problem.

The Two-Sample Location Problem.

The Two-Sample Dispersion Problem and Other Two-Sample Problems.

The One-Way Layout.

The Two-Way Layout.

The Independence Problem.

Regression Problems.

Comparing Two Success Probabilities.

Life Distributions and Survival Analysis.



Answers to Selected Problems.


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)

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