A characterization of admissible linear estimators of fixed and random effects in linear models

DOI10.1007/S00184-007-0149-0zbMath1433.62077OpenAlexW2036094731MaRDI QIDQ745444

Ewa Synówka-Bejenka, Stefan Zontek

Publication date: 14 October 2015

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00184-007-0149-0

zbMATH Keywords

linear estimationlinear modellinear predictionadmissibilitylocally best estimatoradmissibility among an affine set

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Point estimation (62F10) Diagnostics, and linear inference and regression (62J20)

Related Items (4)

A note on admissibility of linear estimators in random models with a special structure ⋮ Admissibility of linear estimators with respect to inequality constraints under some loss functions ⋮ An explicit characterization of admissible linear estimators of fixed and random effects in balanced random models ⋮ Unnamed Item

Cites Work

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• That BLUP is a good thing: The estimation of random effects. With comments and a rejoinder by the author
• Admissible linear estimation in singular linear models
• All Admissible Linear Estimates of the Mean Vector

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