Some robust anova procedures under heteroscedasticity and nonnormality

DOI10.1080/03610918508812486zbMath0609.62052OpenAlexW1990151479MaRDI QIDQ3749926

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Publication date: 1985

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

Full work available at URL: https://doi.org/10.1080/03610918508812486

zbMATH Keywords

heteroscedasticitynonnormalityrobust proceduresMonte Carlo comparisonsHuber's M-estimatorsBrown-Forsythe testcomparing several meansTan-Tabatabai testTiku's MML estimators

Mathematics Subject Classification ID

Robustness and adaptive procedures (parametric inference) (62F35) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (3)

Improving the brown-forsythe solution to the generalized behrens-fisher problem ⋮ Robust classification procedures based on dichotomous and continuous variables ⋮ Robustness and power of parametric, nonparametric, robustified and adaptive tests -- the multi-sample location problem

Cites Work

• Robustness of MML estimators based on censored samples and robust test statistics
• Robust Analysis of Covariance
• Robust analysis of variance based upon a likelihood ratio criterion
• Testing Linear Contrasts of Means in Experimental Design Without Assuming Normality and Homogeneity of Variances
• 372: The Anova and Multiple Comparisons for Data with Heterogeneous Variances
• Robust Estimation of a Location Parameter
• THE COMPARISON OF SEVERAL GROUPS OF OBSERVATIONS WHEN THE RATIOS OF THE POPULATION VARIANCES ARE UNKNOWN
• ON THE COMPARISON OF SEVERAL MEAN VALUES: AN ALTERNATIVE APPROACH
• Robust Statistics

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