Conclusions

Abstract

This final chapter concerns some discussion to emphasize the role of nonparametric combination as a flexible methodology for solving complex problems. These complex testing problems are not adequately taken into consideration in the standard literature. This is in spite of the fact that they are very frequently encountered in a great variety of practical applications. These problems emphasize the versatility and effectiveness of the nonparametric combination methodology. It should also be stressed that since permutation tests are conditional with respect to a set of sufficient statistics, the nonparametric combination, in very mild conditions, frees the researcher from the necessity to model the dependence relations among responses. Some future research guidelines using permutation tests are also presented.