Description
| Abstract: | This paper discusses a functional approach to the problem of comparison of multi-samples (two samples or c samples, where c> or = 2). The data consists of c random samples whose probability distributions are to be tested for equality. A diversity of statistics to test equality of c samples are presented in a unified framework with the aim of helping the researcher choose the optimal procedures which provide greatest insight about how the samples differ in their distributions. Concepts discussed are: sample distribution functions; ranks; mid-distribution function; two- sample t test and nonparametric Wilcoxon test; multi-sample analysis of variance and Kruskal Wallis test; Anderson Darling and Cramer von Mises tests; components and linear rank statistics; comparison distribution and comparison density functions, especially for discrete distributions; components with orthogonal polynomial score functions; chi-square tests and their components. |
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| Item Description: | "May 1989."
"Texas A&M Research Foundation Project Number 5641." |
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| Physical Description: | 11 pages, 1 unnumbered pages : illustrations ; 28 cm |
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| Bibliography: | Includes bibliographical references (page 10). |
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