Nonparametric Statistical Methods, Solutions Manual

The importance of nonparametric methods in modern statistics hasgrown dramatically since their inception in the mid-1930s.Requiring few or no assumptions about the populations from whichdata are obtained, they have emerged as the preferred methodologyamong statisticians and researchers performing data analysis.Today, these highly efficient techniques are being applied to anever-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 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.Vor mehr als 60 Jahren wurden nichtparametrische Methoden zum ersten Mal eingesetzt und sind seither bei Statistikern und anderen Wissenschaftlern zur bevorzugten Methode der Datenanalyse anvanciert. Diese Neuauflage hat eine Reihe grundlegender Verbesserungen zu bieten, wie z.B. die umfangreichere Behandlung nichtparametrischer Methoden für Versuchsentwürfe und nichtparametrischer Regressionsmethoden, neue Kapitel zu Zufallszahlentabellen und praktische Experimente mit Beispielen aus einer Fülle von Disziplinen wie Landwirtschaft, Astronomie, Biologie, Kriminologie, Umweltwissenschaften und Medizin, um nur einige zu nennen. Leserfreundlich ausgelegt, wurden die Kapitel entsprechend überschaubar gehalten mit vielen Beispielen, Kommentaren und Aufgaben. (01/99) The Dichotomous Data Problem.

The One-Sample Location Problem.

The Two-Sample Location Problem.

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

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

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. 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.