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One-Sided two-sample and trend tests based on a modified baumgartner-weiss-schindler statistic 

Author: Markus Neuhaumluser a
Affiliation:   a Department of Biometry, Byk Gulden Pharmaceuticals, Konstanz, Germany
DOI: 10.1080/10485250108832874
Publication Frequency: 8 issues per year
Published in: journal Journal of Nonparametric Statistics, Volume 13, Issue 5 2001 , pages 729 - 739
Formats available: PDF (English)
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Abstract

The nonparametric two-sample test recently proposed by Baumgartner,Weiszlig,and Schindler [1] is not suitable for one-tailed analyses. We propose a modification of the original Baumgartner-Weiszlig-Schmdler statistic which enables one-sided tests. The test based on the new modified statistic has a less conservative size and is, according to simulation results, more powerful than the one-sided Wilcoxon-Mann-Whitney test. With the modified statistic a Jonckheere-type trend test can be constructed. Simulation studies indicate that this new trend test is superior to the often employed Jonckheere-Terpstra test. Furthermore, the new tests based on the modified statistic are also powerful in case of heteroscedasticity. For all tests the exact permutation distribution was used for inference
Keywords: Exact permutation test; Jonckheere-Terpstra test; Heteroscedasticity
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