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.
|Number of pages||22|
|Journal||Communications in Statistics - Simulation and Computation|
|Publication status||Published - Jul 2005|
- critical values
- robust rank-order
- student T-test