Removing skewness and kurtosis by transformation when testing for mean equality

DOI10.1080/03610918.2019.1610439zbMath1497.62059OpenAlexW2944160932MaRDI QIDQ5082724

Lourdes Molera, Isabel Parra-Frutos

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2019.1610439

zbMATH Keywords

kurtosisskewnessWelch testHall's transformationJohnson's transformation

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Analysis of variance and covariance (ANOVA) (62J10)

Cites Work

• Unnamed Item
• An invertible transformation two-sample trimmed \(t\)-statistic under heterogeneity and nonnormality
• Effect of non-normality on test statistics for one-way independent groups designs
• Modified t Tests and Confidence Intervals for Asymmetrical Populations
• Controlling the Type I error rate by using the nonparametric bootstrap when comparing means
• ON THE COMPARISON OF SEVERAL MEAN VALUES: AN ALTERNATIVE APPROACH

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