Principal components regression and \(r-k\) class predictions in linear mixed models
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Publication:1698596
DOI10.1016/j.laa.2018.01.001zbMath1485.62094OpenAlexW2783439741MaRDI QIDQ1698596
Publication date: 16 February 2018
Published in: Linear Algebra and its Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.laa.2018.01.001
multicollinearitylinear mixed modelHenderson's predictorprincipal components regression predictorridge predictor
Related Items (3)
Adaptation of the jackknifed ridge methods to the linear mixed models ⋮ The \(\mathrm{r}\)-\(\mathrm{d}\) class predictions in linear mixed models ⋮ Improving prediction by means of a two parameter approach in linear mixed models
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