Admissible prediction in superpopulation models with random regression coefficients under matrix loss function

DOI10.1016/j.jmva.2011.06.008zbMath1229.62009OpenAlexW2083109445MaRDI QIDQ642224

Li-Wen Xu, Sheng-Hua Yu

Publication date: 25 October 2011

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2011.06.008

zbMATH Keywords

finite populationsbest linear unbiased predictorlinear predictors

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Multivariate analysis (62H99) Linear regression; mixed models (62J05) Sampling theory, sample surveys (62D05) Theory of matrix inversion and generalized inverses (15A09) Admissibility in statistical decision theory (62C15)

Related Items (2)

Admissibility of simultaneous prediction for actual and average values in finite population ⋮ A new derivation of BLUPs under random-effects model

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