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Testing equality of population variances the robust way
Authors:M.L. Tiku  N. Balakrishnan
Affiliation:Department of Mathematical Sciences , McMaster University , Hamilton, Ontario, Canada
Abstract:The purpose of this paper is to investigate the robustness (stability of Type I error to deviations from normality) and power properties of various tests for testing equality of population variances. It is shown that the tests based on Tiku’ s (1967, 1980, 1982) MML estimators have good robustness properties and are the most powerful overall.
Keywords:robust tests  homogeneity of variances  modified maximum likelihood estimators  nonparametric tests
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