Abstract
We consider distribution-free multiple comparison procedures among mean effects in homoscedastic k-sample models. We propose closed testing procedures based on the maximum values of some two-sample Wilcoxon test statistics and based on Kruskal–Wallis test statistics. The results reveal that the proposed procedures are more powerful than single-step procedures and the REGW-type tests. Furthermore, under simple order restrictions of k means, we discuss distribution-free multiple comparison procedures.
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© 2019 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Shiraishi, Ta., Sugiura, H., Matsuda, Si. (2019). Nonparametric Procedures Based on Rank Statistics. In: Pairwise Multiple Comparisons. SpringerBriefs in Statistics(). Springer, Singapore. https://doi.org/10.1007/978-981-15-0066-4_4
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DOI: https://doi.org/10.1007/978-981-15-0066-4_4
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