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Inference

Critical Values for the Robust Rank-Order Test

Pages 525-547 | Received 07 Jul 2004, Accepted 17 Jan 2005, Published online: 15 Feb 2007
 

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 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.

Mathematics Subject Classification:

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