Nonparametric Archimedean generator estimation with implications for multiple testing
André Neumann () and
Thorsten Dickhaus ()
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André Neumann: University of Bremen
Thorsten Dickhaus: University of Bremen
AStA Advances in Statistical Analysis, 2020, vol. 104, issue 2, No 6, 309-323
Abstract In multiple testing, the family-wise error rate can be bounded under some conditions by the copula of the test statistics. Assuming that this copula is Archimedean, we consider two nonparametric Archimedean generator estimators. More specifically, we use the nonparametric estimator from Genest et al. (Test 20(2):223–256, 2011) and a slight modification thereof. In simulations, we compare the resulting multiple tests with the Bonferroni test and the multiple test derived from the true generator as baselines.
Keywords: Kendall’s distribution function; Copula; Family-wise error rate; p-values (search for similar items in EconPapers)
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