Abstract
The nonparametric Wilcoxona??Manna??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 up 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 | 23 |
Journal | Communications in Statistics - Simulation and Computation |
Volume | 34 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2005 |
Externally published | Yes |