Heterogeneity of variance and biased hypothesis tests

DOI10.1080/02664763.2012.740620OpenAlexW2064981318MaRDI QIDQ5128898

Donald W. Zimmerman

Publication date: 26 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2012.740620

zbMATH Keywords

heteroscedasticityWilcoxon-Mann-Whitney testrank transformation\(t\)-testheterogeneity of varianceunequal sample sizesbiased hypothesis test

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• Mathematica

Cites Work

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• A Monte Carlo study of type I error rates for the two-sample Behrens-Fisher problem with and without rank transformation
• Robustness of the two-sample t-test umdeh violations of the homogeneity of farjance assumptioi
• Rank Transformations as a Bridge Between Parametric and Nonparametric Statistics
• Modified t Tests and Confidence Intervals for Asymmetrical Populations
• Robustness of the t and U tests under combined assumption violations
• Tests for mean equality that do not require homogeneity of variances: do they really Work?
• Practical Solutions of the Behrens-Fisher Problem
• THE SIGNIFICANCE OF THE DIFFERENCE BETWEEN TWO MEANS WHEN THE POPULATION VARIANCES ARE UNEQUAL
• AN EXAMINATION AND FURTHER DEVELOPMENT OF A FORMULA ARISING IN THE PROBLEM OF COMPARING TWO MEAN VALUES

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