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Modified Wilcoxon–Mann–Whitney Test and Power Against Strong Null
Authors:Youyi Fong  Ying Huang
Institution:Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA
Abstract:The Wilcoxon–Mann–Whitney (WMW) test is a popular rank-based two-sample testing procedure for the strong null hypothesis that the two samples come from the same distribution. A modified WMW test, the Fligner–Policello (FP) test, has been proposed for comparing the medians of two populations. A fact that may be under-appreciated among some practitioners is that the FP test can also be used to test the strong null like the WMW. In this article, we compare the power of the WMW and FP tests for testing the strong null. Our results show that neither test is uniformly better than the other and that there can be substantial differences in power between the two choices. We propose a new, modified WMW test that combines the WMW and FP tests. Monte Carlo studies show that the combined test has good power compared to either the WMW and FP test. We provide a fast implementation of the proposed test in an open-source software. Supplementary materials for this article are available online.
Keywords:Wilcoxon rank sum test  Mann–Whitney U test  Behrens–Fisher problem  Two-sample location problem  Unequal variances
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