A revisit to test the equality of variances of several populations

DOI10.1080/03610918.2016.1202277zbMath1388.62030OpenAlexW2485102381MaRDI QIDQ4638829

Nabendu Pal, Ching-Hui Chang, Jyh-Jiuan Lin

Publication date: 30 April 2018

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

Full work available at URL: https://doi.org/10.1080/03610918.2016.1202277

zbMATH Keywords

varianceunbalanced design\(F\)-distribution chi-square distribution

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Approximations to statistical distributions (nonasymptotic) (62E17)

Related Items (5)

Comparing scale parameters in several gamma distributions with known shapes ⋮ Standardized likelihood ratio test for homogeneity of variance of several normal populations ⋮ The simultaneous assessment of normality and homoscedasticity in linear fixed effects models ⋮ Computing the exact distribution of the Bartlett's test statistic by numerical inversion of its characteristic function ⋮ 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
• Testing on the common mean of several normal distributions
• A Note on Comparing Several Poisson Means
• Robust Tests for the Equality of Variances
• Distribution-Free Tests for One-Way Homoscedasticity in a Two-Way Classification
• A Monte Carlo Test for Variance Homogeneity in Linear Models
• A Robust Test for Homoscedasticity in a Two‐Way Layout
• Properties of sufficiency and statistical tests

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