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A general-purpose method for two-group randomization tests AgEcon
Kaiser, Johannes; Lacy, Michael G..
We outline a novel approach to calculate exact p-levels for two-sample randomization tests. The approach closely resembles permute in its applications, with the main difference being that the results are approximated only if the execution time needed to calculate exact p-levels would exceed a specified maximum. We demonstrate its use by deriving p-levels for the significance of Somers’ D, the coefficient of variation, the difference in means and in medians, and the difference in two multinomials.
Tipo: Article Palavras-chave: Tsrtest; Mwtest; Fptest; Somersdtest; Cvtest; Vartest; Randomization tests; Monte Carlo; Two-sample problem; Research Methods/ Statistical Methods.
Ano: 2009 URL: http://purl.umn.edu/122702
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An exact and a Monte Carlo proposal to the Fisher–Pitman permutation tests for paired replicates and for independent samples AgEcon
Kaiser, Johannes.
This article concerns the nonparametric Fisher–Pitman tests for paired replicates and independent samples. After outlining the theory of exact tests, I derive Monte Carlo simulations for both of them. Simulations can be useful if one deals with many observations because of the complexity of the algorithms in regard to sample sizes. The tests are designed to be a more powerful alternative to the Wilcoxon signed-rank test and the Wilcoxon–Mann–Whitney rank-sum test if the observations are given on at least an interval scale. The results gained by Monte Carlo versions of the tests are accurate enough in comparison to the exact versions. Finally, I give examples for using both supplemented tests.
Tipo: Article Palavras-chave: Permtest1; Permtest2; Nonparametric tests; Monte Carlo; Permutation tests; Research Methods/ Statistical Methods.
Ano: 2007 URL: http://purl.umn.edu/119284
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