A Simulation Study of the Powers of Three Multiple Comparison Statistics |
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| Authors: | Clive L. Morley |
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| Affiliation: | Footscray Institute of Technology, Melbourne |
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| Abstract: | A normal-theory and two distribution-free statistics used for multiple comparisons of homogeneity of location are compared on simulated data generated from six distributions. The normal-theory statistic is found to be fairly robust to departures from the assumption of normally distributed data of the types considered. The Steel-Dwass statistic is generally more powerful than a Kruskal-Wallis range statistic. |
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| Keywords: | Multiple comparisons Monte Carlo simulation Simultaneous statistical inference Distribution-free tests |
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