Estimation and Test of Varience Components Using the MINQUE-Method

DOI10.1080/02331888508801898zbMath0593.62066OpenAlexW2536546931MaRDI QIDQ3723516

Burkhardt Seifert

Publication date: 1985

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888508801898

zbMATH Keywords

predictionalgorithmestimationANOVAfixed effectstestingMINQUEvariance components

Mathematics Subject Classification ID

Analysis of variance and covariance (ANOVA) (62J10) Probabilistic methods, stochastic differential equations (65C99)

Related Items (3)

Unnamed Item ⋮ Testing hypotheses in mixed linear models ⋮ On testing variance components in unbalanced mixed linear model.

Cites Work

• Unnamed Item
• Matrix free computation of C. R. Rao's MINQUE for unbalanced nested classification models
• Nonnegative minimum biased invariant estimation in variance component models
• Invariant quadratic unbiased estimation for two variance components
• Synthesis of variance
• Statistische Methoden der Modellbildung, III
• On recent progress of minque theory nonnegative estimation, consistency, asymptotic normality and explicite formulae¹
• Explicite Formulae of Exact Tests in Mixed Balanced ANOVA-models
• Three modifications of the principle of the minque
• MINQUE and ANOVA Estimator for One-way Classification - a Risk Comparison
• Estimating variance components in hiearchical structures using minque and restricted maximum livelihood

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