Thoroughly revised and reorganized, the fourth edition presents in-depth coverage of the theory and methods of the most widely used nonparametric procedures in statistical analysis and offers example applications appropriate for all areas of the social, behavioral, and life sciences. The book presents new material on the quantiles, the calculation of exact and simulated power, multiple comparisons, additional goodness-of-fit tests, methods of analysis of count data, and modern computer applications using MINITAB, SAS, and STATXACT. It includes tabular guides for simplified applications of tests and finding P values and confidence interval estimates.
"The facts that the first edition of this book was published in 1971 and that it is now in its fourth and revised edition are testimony to the book's success over a long period . The book is readable and clearly written and would be a valuable addition to every statistician's library." - Short Book Reviews of the ISI "I learned nonparametric statistics from the first author's original version of the book. Having enjoyed that experience, I have unabashedly promoted this book ever since. The 4E is another very impressive updating of a classic text that should be part of every statistician's library. More than 100 pages have been added to the book. [T]he authors have generally rewritten and enhanced a lot of the material. Now, in its fourth edition, this book offers a very comprehensive and integrated presentation on nonparametric inference. There is no competitor for this book and its comprehensive development and application of nonparametric methods. Users of one of the earlier editions should certainly consider upgrading to this new edition." - Technometrics, May 2004, Vol. 46, No. 2 "The fourth edition [of this book] includes new materials on quantiles, power and sample size, goodness-of-fit tests, multiple comparisons, and count data, as well as material on computing using SAS, Minitab, SPSS, and StatXact The authors have put a lot of effort to make the book more user-friendly by adding tabular guides for tests and confidence intervals, more figures and more exercises." - The American Statistician, May 2004 "This is the book for all statisticians and studentswho need to learn nonparametric statistics." Technometrics "Useful to students and research workersThis edition will be a goodtextbook for a beginning graduate-level course in nonparametric statistics." Journal of the American Statistical Association "strongly recommended." Computational Statistics "I am glad to have this book on my shelves." The Royal Statistical Society "a good mix of nonparametric theory and methodology focused on traditional rank-based methodsa bargaina good introduction to rank-based methods with a moderate amount of mathematical detail." -Journal of Quality Technology, Vol. 37, No. 2, April 2005
