Abstract
The novel nonparametric two-sample test proposed by Baumgartner et al. (Biometrics 54 (1998) 1129) was derived under a continuous distributional assumption. In practice, however, ties often occur. Since the Baumgartner et al. original test, that is, the test based on the asymptotic distribution of the novel test statistic B, does not control the type I error rate in case of discontinuous distributions, it is recommended an exact permutation test be performed with the statistic B. The resultant test has, according to simulation results, a less conservative size and is more powerful than both the Wilcoxon rank sum test and the Kolmogorov–Smirnov test. The comparison between the exact test based on B and the χ 2 test does not show a clear winner, but the new test can be used irrespective of the number of ties occur since no subjective step of binning the data is required.
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