On unbiasedness of the empirical BLUE and BLUP

DOI10.1016/S0167-7152(98)00115-1zbMath0944.62055OpenAlexW1965380540MaRDI QIDQ1304079

Jiming Jiang

Publication date: 24 September 2000

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-7152(98)00115-1

zbMATH Keywords

expectationsbest linear unbiased estimatormixed modelsbest linear unbiased predictorempirical BLUEempirical BLUP

Mathematics Subject Classification ID

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

Related Items (3)

Estimating heterogeneous causal effects in observational studies using small area predictors ⋮ Leverage analysis for linear mixed models ⋮ A matrix inequality and its statistical application

Cites Work

• That BLUP is a good thing: The estimation of random effects. With comments and a rejoinder by the author
• Approximations for Standard Errors of Estimators of Fixed and Random Effect in Mixed Linear Models
• The Estimation of Environmental and Genetic Trends from Records Subject to Culling
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