Nonparametric Statistical Methods, Volume 737This 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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Contents
CHAPTER | 1 |
THE DICHOTOMOUS DATA PROBLEM | 20 |
THE ONESample LOCATION PROBLEM | 26 |
Copyright | |
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a₁ A1 to A3 Assumptions A1 asymptotic efficiency asymptotic relative efficiency asymptotically distribution-free test Bernoulli trials bivariate C₁ calculate chorioamnion compute confidence coefficient consistent continuous population corresponding d₁ data of Table denote differences distribution-free confidence interval Doksum equal EQUIVALENT TERMINOLOGY Example experimentwise error rate graphical procedure Hodges and Lehmann integer jackknife joint ranking k₁ large sample approximation level of significance median multiple comparison procedure mutually independent n₁ n₂ nonparametric normal theory null distribution null hypothesis observations obtained ordered values pairs parameter Po{J Po{S point estimator population II PROBLEMS procedures based procedures of Sections Properties R₁ R₁R₁ R₂ random variable rank test reject H reject Ho accept Shorack subgroup symmetric T₁ test based test defined test of H test procedures tied group treatment two-sample two-sided type I error underlying population USAGE variance versus the alternative Wilcoxon X₁ Y₁ Z₁