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An exact and a Monte Carlo proposal to the Fisher–Pitman permutation tests for paired replicates and for independent samples

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Author Info

  • Johannes Kaiser

    ()
    (Laboratory for Experimental Economics, University of Bonn)

Abstract

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. Copyright 2007 by StataCorp LP.

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Bibliographic Info

Article provided by StataCorp LP in its journal Stata Journal.

Volume (Year): 7 (2007)
Issue (Month): 3 (September)
Pages: 402-412

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Handle: RePEc:tsj:stataj:v:7:y:2007:i:3:p:402-412

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Related research

Keywords: permtest1; permtest2; nonparametric tests; Monte Carlo; permutation tests;

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Cited by:
  1. Cheung, Stephen L. & Hedegaard, Morten & Palan, Stefan, 2012. "To See Is To Believe: Common Expectations In Experimental Asset Markets," Working Papers 2012-10, University of Sydney, School of Economics.
  2. Cheung, Stephen L. & Coleman, Andrew, 2012. "League-Table Incentives and Price Bubbles in Experimental Asset Markets," Working Papers 2012-13, University of Sydney, School of Economics.
  3. Martin Beckenkamp & Heike Hennig-Schmidt & Frank P. Maier-Rigaud, 2007. "Cooperation in Symmetric and Asymmetric Prisoner's Dilemma Games," Working Paper Series of the Max Planck Institute for Research on Collective Goods 2006_25, Max Planck Institute for Research on Collective Goods.

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