Nonparametric Statistical Methods

Overview

This Second Edition of Myles Hollander and Douglas A. Wolfe's successful Nonparametric Statistical Methods meets the needs of a new generation of users, with completely up-to-date coverage of this important statistical area. Like its predecessor, the revised edition, along with its companion ftp site, aims to equip readers with the conceptual and technical skills necessary to select and apply the appropriate procedures for a given situation. An extensive array of examples drawn from actual experiments illustrates...
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Overview

This Second Edition of Myles Hollander and Douglas A. Wolfe's successful Nonparametric Statistical Methods meets the needs of a new generation of users, with completely up-to-date coverage of this important statistical area. Like its predecessor, the revised edition, along with its companion ftp site, aims to equip readers with the conceptual and technical skills necessary to select and apply the appropriate procedures for a given situation. An extensive array of examples drawn from actual experiments illustrates clearly how to use nonparametric approaches to handle one- or two-sample location and dispersion problems, dichotomous data, and one-way and two-way layout problems. An ideal text for an upper-level undergraduate or first-year graduate course, Nonparametric Statistical Methods, Second Edition is also an invaluable source for professionals who want to keep abreast of the latest developments within this dynamic branch of modern statistics.

"The new edition of this successful text centers around actual experiments from real-life situations...now includes Minitab & StatXact computing vignettes, new problems & examples, contingency tables, the odds ration, and more."

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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)

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Product Details

  • ISBN-13: 9781118553329
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 11/28/2013
  • Edition number: 3
  • Pages: 848

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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Table of Contents

Preface
1 Introduction 1
2 The Dichotomous Data Problem 20
3 The One-Sample Location Problem 35
4 The Two-Sample Location Problem 106
5 The Two-Sample Dispersion Problem and Other Two-Sample Problems 141
6 The One-Way Layout 189
7 The Two-Way Layout 270
8 The Independence Problem 363
9 Regression Problems 415
10 Comparing Two Success Probabilities 458
11 Life Distributions and Survival Analysis 495
App. A: Tables and Charts 563
Bibliography 745
Answers to Selected Problems 767
Author Index 771
Subject Index 779
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