Maximum likelihood estimation in mixed normal models with two variance Components

DOI10.1080/02331880213197zbMath1003.62017OpenAlexW2034101311MaRDI QIDQ3153642

Dietmar Stemann, Götz Trenkler, Agnieszka Urbańska-Motyka, Stanisław Gnot

Publication date: 28 November 2002

Published in: Unnamed Author (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331880213197

zbMATH Keywords

variance componentsapproximation formulasmixed linear models

Mathematics Subject Classification ID

Point estimation (62F10) Analysis of variance and covariance (ANOVA) (62J10)

Cites Work

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• Balance, efficiency and orthogonality concepts in block designs
• Explicit maximum likelihood estimates from balanced data in the mixed model of the analysis of variance
• Invariant quadratic unbiased estimation for two variance components
• Monte Carlo Comparison of ANOVA, MIVQUE, REML, and ML Estimators of Variance Components
• A Note on Balanced Designs

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