ANOVA: The practical importance of heteroscedastic methods, using trimmed means versus means, and designing simulation studies
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Publication:4853364
DOI10.1111/j.2044-8317.1995.tb01052.xzbMath0875.62317OpenAlexW2077666635MaRDI QIDQ4853364
Publication date: 3 December 1995
Published in: British Journal of Mathematical and Statistical Psychology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.2044-8317.1995.tb01052.x
Related Items (11)
Tests for mean equality that do not require homogeneity of variances: do they really Work? ⋮ Effect of non-normality on test statistics for one-way independent groups designs ⋮ Re-sampling methods for testing for location against unrestricted and ordered alternatives ⋮ Robust weighted one-way ANOVA: improved approximation and efficiency ⋮ Welch’s ANOVA: Heteroskedastic skew-t error terms ⋮ Estimation in the simple linear regression model when there is heteroscedasticity of unknown form ⋮ Robust nonorthogonal analyses revisited: An update based on trimmed means ⋮ A Note on Testing Hypotheses about Trimmed Means ⋮ Rank-based tests for interactions in a two-way design. ⋮ An invertible transformation two-sample trimmed \(t\)-statistic under heterogeneity and nonnormality ⋮ The 'improved' brown and forsythe test for mean equality: some things can't be fixed
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