A studentized permutation test for the non-parametric Behrens-Fisher problem
For the non-parametric Behrens-Fisher problem a pen-nutation test based on the studentized rank statistic of Brunner and Munzel is proposed. This procedure is applicable to count or ordered categorical data. By applying the central limit theorem of Janssen, it is shown that the asymptotic permutational distribution of this test statistic is a standard normal distribution. For very small and very different sample sizes, frequently occurring in medical and biological applications, an extensive simulation study suggests that this permutation test works well for data from several underlying distributions. The proposed test is applied to data from a clinical trial. (c) 2006 Elsevier B.V. All rights reserved.
ordered categorical data studentized statistic asymptotic distribution brunner-munzel test rank test count data