Testing the equality of a large number of normal population means

DOI10.1016/j.csda.2011.08.017zbMath1241.62019OpenAlexW2050994981MaRDI QIDQ433218

Dohwan Park, Junyong Park

Publication date: 13 July 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2011.08.017

zbMATH Keywords

tablesasymptotic normalitymeta analysisEdgeworth expansionsinhomogeneous variances

Mathematics Subject Classification ID

Related Items (3)

A simple test for the difference of means in meta-analysis when study-specific variances are unreported ⋮ Testing the homogeneity of risk differences with sparse count data ⋮ Testing the equality of a large number of means of functional data

Cites Work

• Unnamed Item
• Testing the homogeneity of the means of several groups of count data in the presence of unequal dispersions
• Testing equality of inverse Gaussian means under heterogeneity, based on generalized test variable
• Small sample properties of tests on homogeneity in one-way anova and meta-analysis
• Statistical Meta‐Analysis with Applications
• A Revisit to the Behrens–Fisher Problem: Comparison of Five Test Methods
• Estimation of a Common Mean and Weighted Means Statistics
• Improving the brown-forsythe solution to the generalized behrens-fisher problem
• The Small Sample Behavior of Some Statistics Which Test the Equality of Several Means
• Consistent Estimates Based on Partially Consistent Observations
• ON THE COMPARISON OF SEVERAL MEAN VALUES: AN ALTERNATIVE APPROACH

This page was built for publication: Testing the equality of a large number of normal population means