Description
Book SynopsisThe 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 f
Table of ContentsThe 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.
