Nonparametric statistical methods
This 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 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. 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.
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The TwoWay Layout
The Dichotomous Data Problem
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a-level accept H0 applied asymptotic efficiency asymptotic relative efficiency asymptotically distribution-free test Bernoulli trials bivariate calculate chorioamnion compute confidence coefficient configurations continuous population corresponding data of Table denote differences distribution-free confidence interval equal equivalent terminology Example experimentwise error rate graphical procedure H0 is true Hodges and Lehmann integer jackknife joint ranking Kruskal-Wallis test large sample approximation level of significance Mann-Whitney median method multiple comparison procedure mutually independent nonparametric null distribution null hypothesis observations obtained one-sample one-sided test paired replicates percentile point point estimator probability PROBLEMS procedures based procedures of Sections Properties random variable rank sum test ranklike tests reject H0 sample median Shorack sign statistic sign test signed rank statistic signed rank test standard deviation subgroup symmetric Table A.2 test based test of H0 test procedures tied group tion two-sample two-sided type I error underlying population usage versus the alternative Wilcoxon