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. |
Contents
CHAPTER | 1 |
THE TWOWAY LAYOUT | 4 |
THE ONESAMPLE LOCATION PROBLEM | 26 |
Copyright | |
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a-level a₁ A1 to A3 applied Assumptions A1 asymptotic efficiency asymptotic relative efficiencies 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 equal equation Example experimentwise error rate graphical procedure Hodges and Lehmann Hollander hypothesis jackknife joint ranking k₁ large sample approximation level of significance median multiple comparison multiple comparison procedures mutually independent n₁ n₂ nonparametric normal theory null distribution observations obtained one-sample ordered values parameter Po{J point estimator PROBLEMS procedures based procedures of Sections Properties Pu(a R₁ R₂ random variables ranklike tests reject H reject Ho accept Shorack sign test signed rank statistic subgroup symmetric T₁ Table A.1 test based test defined test of H test procedures tied group treatment two-sample two-sided underlying population variance versus the alternative Wilcoxon X₁ Y₁ Z₁