The \(\mathrm{r}\)-\(\mathrm{d}\) class predictions in linear mixed models

DOI10.1515/jiip-2019-0069zbMath1470.62106OpenAlexW3042824526MaRDI QIDQ2048216

Publication date: 5 August 2021

Published in: Journal of Inverse and Ill-Posed Problems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/jiip-2019-0069

zbMATH Keywords

multicollinearity best linear unbiased predictor principal components regression predictor \(\mathrm{r}\)-\(\mathrm{d}\) class predictor Liu predictor

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Ridge regression; shrinkage estimators (Lasso) (62J07) Linear regression; mixed models (62J05)

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