Comparing variances and means when distributions have non-identical shapes

DOI10.1080/03610919008812850zbMath0715.62071OpenAlexW2055134974MaRDI QIDQ3201322

Rand R. Wilcox

Publication date: 1990

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

Full work available at URL: https://doi.org/10.1080/03610919008812850

zbMATH Keywords

confidence intervalstrimmingmodified maximum likelihood estimateBox-Scheffé approachcomparing meanscomparing variances

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (4)

An improved method for comparing variances when distributions have non-identical shapes ⋮ Comparing Biweight Measures of Location in the Two-Sample Problem ⋮ A comparative study of nonparametric two–sample tests after Levene's transformation ⋮ Some multiple comparison procedures for variances from non-normal populations.

Cites Work

• Robust techniques for testing heterogeneity of variance effects in factorial designs
• A General ANOVA Method for Robust Tests of Additive Models for Variances
• Robust multiple comparisons
• Robust statistics for testing equality of means or variances
• Robust Tests for the Equality of Variances
• A Probability Distribution and Its Uses in Fitting Data
• Monte Carlo study of some simple estimators in censored normal samples
• THE SIGNIFICANCE OF THE DIFFERENCE BETWEEN TWO MEANS WHEN THE POPULATION VARIANCES ARE UNEQUAL

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