Combining Two Nonparametric Tests Of Location
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Published
Jan 5, 2002
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R. Clifford Blair
Department of Epidemiology and Biostatistics College of Public Health, & Jaeb Center For Health Research University Of South Florida
Abstract
A distribution-free test is proposed whose power is similar to that of the Wilcoxon Rank-Sum or Terry-Hoeffding
Normal Scores tests depending on which of these two tests is more powerful in a given data analysis situation, regardless
of the population. This new statistic is distribution-free, and adds no new assumptions to those associated with the
constituent tests. A table of critical values for the new statistic is given and some of its Type I error and power properties
are examined.
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