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Other titles in the Wiley Series in Probability and Statistics series:

Nonparametric Statistical Methods, Solutions Manual

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Nonparametric Statistical Methods, Solutions Manual Cover

ISBN13: 9780471329862
ISBN10: 047132986x
Condition:
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Synopses & Reviews

Publisher Comments:

The importance of nonparametric methods in modern statistics has grown dramatically since their inception in the mid-1930s. Requiring few or no assumptions about the populations from which data are obtained, they have emerged as the preferred methodology among statisticians and researchers performing data analysis. Today, these highly efficient techniques are being applied to an ever-widening variety of experimental designs in the social, behavioral, biological, and physical sciences.

This long-awaited 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 highly acclaimed predecessor, the revised edition, along with its companion ftp site, aims to equip students 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. Rewritten and updated, this Second Edition now includes new or expanded coverage of:

* Nonparametric regression methods.

* The bootstrap.

* Contingency tables and the odds ratio.

* Life distributions and survival analysis.

* Nonparametric methods for experimental designs.

* More procedures, real-world data sets, and problems.

* Illustrated examples using Minitab and StatXact.

An ideal text for an upper-level undergraduate or first-year graduate course, this text is also an invaluable source for professionals who want to keep abreast of the latest developments within this dynamic branch of modern statistics.

An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley editorial department.

Synopsis:

The new edition of Hollander and Wolfe?s classic text on nonparametric statistical methods

The importance of nonparametric methods in modern statistics has grown dramatically since their inception in the mid-1930s. Requiring few or no assumptions about the populations from which data are obtained, they have emerged as the preferred methodology among statisticians and researchers performing data analysis. Today, these highly efficient techniques are being applied to an ever-widening variety of experimental designs in the social, behavioral, biological, and physical sciences.

This long-awaited 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 highly acclaimed 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. Rewritten and updated, this Second Edition now includes new or expanded coverage of:

  • Nonparametric regression methods
  • The bootstrap
  • Contingency tables and the odds ratio
  • Life distributions and survival analysis
  • Nonparametric methods for experimental designs

    Plus:
  • More procedures, real-world data sets, and problems
  • Illustrated examples using Minitab and StatXact

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.

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.

Appendix.

Bibliography.

Answers to Selected Problems.

Indexes.

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obalowu05, April 15, 2008 (view all comments by obalowu05)
The title is very okay.I will like to have a copy so that I may be able to offer consructive ideas.Thanks for the courage and job well done.
Yours Faithfully
JOB Obalowu
Department of Statistics,
University of Ilorin,
P.M.B 1515 Ilorin,
Nigeria.
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Product Details

ISBN:
9780471329862
Author:
Hollander, Myles
Publisher:
Wiley-Interscience
Author:
Hollander
Author:
Hu, Valerie Ed.
Author:
Wolfe, Douglas A.
Author:
Hollander, Eric
Subject:
Nonparametric statistics
Subject:
Probability & Statistics - General
Subject:
Statistics
Subject:
Mathematics | Probability and Statistics
Subject:
Nonparametric Analysis
Copyright:
Edition Number:
2
Series:
Wiley Series in Probability and Statistics
Series Volume:
348
Publication Date:
March 1999
Binding:
TRADE PAPER
Grade Level:
Professional and scholarly
Language:
English
Pages:
162
Dimensions:
10.02x6.96x.37 in. .66 lbs.

Related Subjects

Health and Self-Help » Health and Medicine » Medical Specialties
History and Social Science » Geography » General
Reference » Science Reference » General
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Nonparametric Statistical Methods, Solutions Manual New Trade Paper
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$59.25 In Stock
Product details 162 pages Wiley-Interscience - English 9780471329862 Reviews:
"Synopsis" by , The new edition of Hollander and Wolfe?s classic text on nonparametric statistical methods

The importance of nonparametric methods in modern statistics has grown dramatically since their inception in the mid-1930s. Requiring few or no assumptions about the populations from which data are obtained, they have emerged as the preferred methodology among statisticians and researchers performing data analysis. Today, these highly efficient techniques are being applied to an ever-widening variety of experimental designs in the social, behavioral, biological, and physical sciences.

This long-awaited 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 highly acclaimed 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. Rewritten and updated, this Second Edition now includes new or expanded coverage of:

  • Nonparametric regression methods
  • The bootstrap
  • Contingency tables and the odds ratio
  • Life distributions and survival analysis
  • Nonparametric methods for experimental designs

    Plus:
  • More procedures, real-world data sets, and problems
  • Illustrated examples using Minitab and StatXact

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.

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