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.