Small sample properties of tests on homogeneity in one-way anova and meta-analysis

DOI10.1007/s00362-002-0097-8zbMath1059.62562OpenAlexW1964512297MaRDI QIDQ1402932

Joachim Hartung, Kepher Henry Makambi, Doğan Argaç

Publication date: 31 August 2003

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00362-002-0097-8

zbMATH Keywords

meta-analysisnonnormalitybalanced and unbalanced sample sizeshomogeneous and heterogeneous variances

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Monte Carlo methods (65C05) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (9)

Plug-in tests for nonequivalence of means of independent normal populations ⋮ Penalized power approach to compare the power of the tests when Type I error probabilities are different ⋮ Testing the equality of a large number of normal population means ⋮ Testing for homogeneity in a general one-way classification with fixed effects: power simulations and comparative study ⋮ Testing hypotheses on coefficients of variation from a series of two-armed experiments ⋮ A note on Cochran test for homogeneity in one-way ANOVA and meta-analysis ⋮ A Parametric Bootstrap Approach for One-Way ANCOVA with Unequal Variances ⋮ One-way ANOVA with Unequal Variances ⋮ Heteroscedasticity: multiple degrees of freedom vs. sandwich estimation

Cites Work

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• The bias of the commonly-used estimate of variance in meta-analysis
• The Small Sample Behavior of Some Statistics Which Test the Equality of Several Means
• THE COMPARISON OF SEVERAL GROUPS OF OBSERVATIONS WHEN THE RATIOS OF THE POPULATION VARIANCES ARE UNKNOWN
• ON THE COMPARISON OF SEVERAL MEAN VALUES: AN ALTERNATIVE APPROACH
• Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems, I. Effect of Inequality of Variance in the One-Way Classification

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