Abstract
The nonparametric Wilcoxon-Mann-Whitney test is commonly used by practitioners for detecting differences in location (mean, median) between two samples. Earlier work has shown this test to have a number of disadvantages, most of which are remedied by use of the alternative robust rank-order test. Use of the robust rank-order test has been limited, perhaps partly because exact critical values have tip to now been available for only a small number of sample-size values, and not for all of the commonly used levels of significance. This article expands what is known about the distribution of the robust rank-order test statistic; critical values are given for more sample sizes and for more levels of significance.
Original language | English |
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Pages (from-to) | 525-547 |
Number of pages | 22 |
Journal | Communications in Statistics - Simulation and Computation |
Volume | 34 |
Issue number | 3 |
DOIs | |
Publication status | Published - Jul 2005 |
Keywords
- critical values
- nonparametric
- robust rank-order
- Wilcoxon-Mann-Whitney
- student T-test
- variances
- power