One-Sided two-sample and trend tests based on a modified baumgartner-weiss-schindler statistic
Author:
Markus Neuh
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| Affiliation: | a Department of Biometry, Byk Gulden Pharmaceuticals, Konstanz, Germany |
DOI:
10.1080/10485250108832874
Publication Frequency:
8 issues per year
Subjects:
Mathematical Economics;
Mathematical Finance;
Medical Statistics;
Statistical Theory & Methods;
Statistics;
Statistics for the Biological Sciences;
Stochastic Models & Processes;
Formats available:
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Abstract
The nonparametric two-sample test recently proposed by Baumgartner,Wei
,and Schindler [1] is not suitable for one-tailed analyses. We propose a modification of the original Baumgartner-Wei -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
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| Keywords: Exact permutation test; Jonckheere-Terpstra test; Heteroscedasticity |
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,and Schindler [1] is not suitable for one-tailed analyses. We propose a modification of the original Baumgartner-Wei
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