On a nonparametric combination method for dependent permutation tests with applications.
This paper deals with a combination method for dependent permutation tests, which is nonparametric with respect to the underlying unknown dependence structure. The method is based on a simulation or resampling procedure, conditional on the data, which provides a simulated estimate of the permutation distribution of any statistic. Applications to some unusual and quite complex testing problems are shown.
Pesarin
F
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Department of Statistics, University of Padua, Italy.
D006801:Humans; D016013:Likelihood Functions; D015233:Models, Statistical; D015999:Multivariate Analysis