A Monte Carlo Study Comparing Various Two-Sample Tests for Differences in Mean

Keywords

Wilcoxon signed-rank test, Statistics, Mathematics, Monte Carlo method, Nonparametric statistics

References

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Cited by

• Comparative Power Of The Anova, Randomization Anova, And Kruskal-Wallis TestJamie H. Gleason — 2013
• An Investigation of Selected Two-Sample Hypothesis Testing Procedures When Sampling From Empirically Based Test Score Models.C. Rodney Killian, H. D. Hoover — 1974
• Quick and Simple Tests Based on Extreme ObservationsHenry R. Neave — 1979
• Increasing physicians' awareness of the impact of statistics on research outcomes: comparative power of the t-test and and Wilcoxon Rank-Sum test in small samples applied research.Patrick D. Bridge, Shlomo S. Sawilowsky — 1999
• Power comparisons of significance tests of location using scores, ranks, and modular ranks.Donald W. Zimmerman — 2011
• Techniques for efficient Monte Carlo simulation. Volume 1. Selecting probability distributionsElgie J. McGrath, S.L. Basin, R W Burton — 1975
• Robustness and Power of the Parametric T Test and the Nonparametric Wilcoxon Test under Non-Independence of ObservationsWolfgang Wiedermann, Alexander von Eye — 2013
• Evaluating Criteria for Selection of Nonparametric StatisticsStephen J. Jenkins, Dale R. Fuqua, Bruce W. Hartman — 1984
• The Power of t and Wilcoxon StatisticsR. Clifford Blair, James J. Higgins — 1980
• Increasing the Power of Tests of Location and Correlation by Transforming Scores to Ranks and IndicatorsDonald W. Zimmerman, Bruno D. Zumbo — 1992
• Dominance statistics: Ordinal analyses to answer ordinal questions.Norman Cliff — 1993
• An Extension of the Rank Transformation ConceptDonald W. Zimmerman — 1992
• A Note on the Influence of Outliers on Parametric and Nonparametric TestsDonald W. Zimmerman — 1994
• Corrected and Extended Tables for Tukey's Quick TestDaniel J. Gans — 1981
• Comments on using alternatives to normal theory statistics in social and behavioural science.Shlomo S. Sawilowsky — 1993
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• Applied Sources for Teachers of Nonparametric StatisticsBarry M. Kātz, Terry Tomazic — 1993
• A more realistic look at the robustness and Type II error properties of the t test to departures from population normality.Shlomo S. Sawilowsky, R. Clifford Blair — 1992
• Two-sample wilcoxon power over the pearson system and comparison with the t-testHarry O. Posten — 1982
• A Monte-Carlo Study of Type I Error Rates and Power for Tukey's Pocket TestWilliam P. Dunlap, Tammy Greer, Gregory O. Beatty — 1996

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