Minqe-theory and the estimation of residual variance in regressions analysis

DOI10.1080/02331888808802105zbMath0649.62058OpenAlexW2016816789WikidataQ126243506 ScholiaQ126243506MaRDI QIDQ3795079

Hilmar Drygas

Publication date: 1988

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888808802105

zbMATH Keywords

best quadratic unbiased estimatorestimable functionsMINQE-theoryestimation of residual variancegeneral Gauss- Markov modelminimum norm quadratic estimatortransforming linear models

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05)

Related Items (2)

Unbiased invariant minimum norm estimation in generalized growth curve model ⋮ Minqe(U, I) and Umvique of the Covariance Matrix in the Growth Curve Model

Cites Work

• A note on minque for normal models
• Best Unbiased Estimators for Variance Components with Application to the Unbalanced one-way Classification
• Estimation of variance and covariance components—MINQUE theory

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