Critical values for the robust rank-order test

Nicholas J Feltovich

Research output: Contribution to journalArticlepeer-review

40 Citations (Scopus)


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 languageEnglish
Pages (from-to)525-547
Number of pages22
JournalCommunications in Statistics - Simulation and Computation
Issue number3
Publication statusPublished - Jul 2005


  • critical values
  • nonparametric
  • robust rank-order
  • Wilcoxon-Mann-Whitney
  • student T-test
  • variances
  • power


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