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Nonparametric Statistical Methods, Solutions Manual,Used
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The importance of nonparametric methods in modern statistics hasgrown dramatically since their inception in the mid1930s.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 aneverwidening variety of experimental designs in the social,behavioral, biological, and physical sciences.This longawaited Second Edition of Myles Hollander and Douglas A.Wolfe's successful Nonparametric Statistical Methods meets theneeds of a new generation of users, with completely uptodatecoverage 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 twosample location anddispersion problems, dichotomous data, and oneway and twowaylayout 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, realworld data sets, and problems.* Illustrated examples using Minitab and StatXact.An ideal text for an upperlevel undergraduate or firstyeargraduate 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.
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