Robust statistics for testing equality of means or variances

DOI10.1080/03610918208828405zbMath0503.62030OpenAlexW2020389224MaRDI QIDQ3969698

Moti L. Tiku

Publication date: 1982

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918208828405

zbMATH Keywords

robust statisticsskew distributionstesting equality of meanstesting equality of variancesMML estimators

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Parametric hypothesis testing (62F03) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (19)

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Cites Work

• Adaptive maximum likelihood estimators of a location parameter
• Do robust estimators work with real data?
• Asymptotically efficient adaptive rank estimates in location models
• The most powerful scale and location invariant test of the normal versus the double exponential
• Linear location estimators: the dependence of their quality on the shape of the probability density function, and their robustness
• An approximate method for generating asymmetric random variables
• Robust Estimates of Location: Symmetry and Asymmetric Contamination
• Efficiency-Robust Estimation of Location
• A Bayesian approach to the importance of assumptions applied to the comparison of variances
• Unnamed Item

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