A maximum test in lieu of
forcing a choice between the two dependent samples t-test and Wilcoxon
signed-ranks test is proposed. The maximum test, which requires a new table of
critical values, maintains nominal α while guaranteeing the maximum
power of the two constituent tests. Critical values, obtained via Monte Carlo
methods, are uniformly smaller than the Bonferroni-Dunn adjustment, giving it
power superiority when testing for treatment alternatives of shift in location parameter when data are
sampled from non-normal distributions.
Cite this paper
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