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Nonparametric Statistical Methods

Nonparametric Statistical Methods - 2nd edition

Nonparametric Statistical Methods - 2nd edition

ISBN13: 9780471190455

ISBN10: 0471190454

Nonparametric Statistical Methods by Myles Hollander and Douglas A. Wolfe - ISBN 9780471190455
Edition: 2ND 99
Copyright: 1999
Publisher: John Wiley & Sons, Inc.
Published: 1999
International: No
Nonparametric Statistical Methods by Myles Hollander and Douglas A. Wolfe - ISBN 9780471190455

ISBN13: 9780471190455

ISBN10: 0471190454

Edition: 2ND 99

Summary

The term nonparametric indicates that a statistical procedure can be used for large classes of distributions and that relevant probability statements are independent of the actual population distribution, at least if this distribution is continuous. The major goal of this new edition is to emphasize the importance of nonparametric methods as a significant branch of modern statistics.

Author Bio

Hollander, Myles : Florida State University

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.

Wolfe, Douglas A. : The Ohio University Main Campus

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

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.