Testing equality of variances for several normal populations

DOI10.1080/03610918.2014.955110zbMath1357.62085OpenAlexW2530361231MaRDI QIDQ76009

Fikri Gokpinar, Esra Gokpinar, Fikri Gökpınar, Esra Yiğit Gokpinar

Publication date: 21 October 2016

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

Full work available at URL: https://doi.org/10.1080/03610918.2014.955110

zbMATH Keywords

type I errorpower of testcomputational approach testequality of variances

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Monte Carlo methods (65C05)

Related Items (5)

A new exact p-value approach for testing variance homogeneity ⋮ Comparing scale parameters in several gamma distributions with known shapes ⋮ Standardized likelihood ratio test for homogeneity of variance of several normal populations ⋮ homnormal ⋮ A note on the limitations of the CAT procedure with application to mixed-effects models

Cites Work

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• Testing the equality of several gamma means: a parametric bootstrap method with applications
• Comparing several population means: a parametric bootstrap method, and its comparison with usual ANOVA F test as well as ANOM
• A new generalized \(p\)-value approach for testing the homogeneity of variances
• Comparing variances and other measures of dispersion
• A Computational Approach for Testing Equality of Coefficients of Variation in k Normal Populations
• Alternative Models for the Analysis of Variance
• One—way fixed effects analysis of variance when the error varianes may be unequal
• A Revisit to the Behrens–Fisher Problem: Comparison of Five Test Methods
• Modified ANOVA for Unequal Variances
• Properties of sufficiency and statistical tests

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