Nonparametric Statistical Methods, Solutions Manual
Language: English
Published by John Wiley & Sons Inc, 1999
- Softcover
- Used
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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.
Seller Inventory # CIN047132986XG
- Title
- Nonparametric Statistical Methods, Solutions Manual
- Author
- Myles Hollander
- Publisher
- John Wiley & Sons Inc
- Publication year
- 1999
- Condition
- Good
- Binding
- Paperback
- Language
- English
- ISBN 10
- 047132986X
- ISBN 13
- 9780471329862
- Edition
- 2nd Edition
This long-awaited Second Edition of Myles Hollander and Douglas A.Wolfe's successful Nonparametric Statistical Methods meets theneeds of a new generation of users, with completely up-to-datecoverage of this important statistical area. Like its highlyacclaimed predecessor, the revised edition, along with itscompanion ftp site, aims to equip students with the conceptual andtechnical skills necessary to select and apply the appropriateprocedures for a given situation. An extensive array of examplesdrawn from actual experiments illustrates clearly how to usenonparametric approaches to handle one- or two-sample location anddispersion problems, dichotomous data, and one-way and two-waylayout problems. Rewritten and updated, this Second Edition nowincludes 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-yeargraduate course, this text is also an invaluable source forprofessionals who want to keep abreast of the latest developmentswithin this dynamic branch of modern statistics.
An Instructor's Manual presenting detailed solutions to all theproblems in the book is available upon request from the Wileyeditorial department.
"Synopsis" may belong to another edition of this title.
About the Author
DOUGLAS A. WOLFE is a Professor of Statistics at Ohio StateUniversity in Columbus. He is a two-time recipient of the OhioState University Alumni Distinguished Teaching Award, in 1973-74and 1988-89.
"About the title" may belong to another edition of this title.
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