2010•Psychotherapy and PsychosomaticsRequires access

On a Nonparametric Combination Method for Dependent Permutation Tests with Applications

Fortunato Pesarin

Open publisher page 47 citations

Abstract

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.

About this research paper

What this paper is about

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.

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OpenAlex reports 47 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

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.

Key concepts: Resampling, Permutation (music), Nonparametric statistics, Statistic, Test statistic, Mathematics, Statistical hypothesis testing, Computer science

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