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• W3198091926 abstract "This paper is concerned with comparison problems of predictors between a linear mixed model (LMM) that includes both fixed and random effects and its transformed model under general assumptions. Our aim is to establish a variety of equalities and inequalities for comparing covariance matrices of the best linear unbiased predictors (BLUPs) of unknown vectors under the models by using various inertia and rank formulas of block matrices. We also give some results for special transformed models such as submodels of original LMMs by applying the results obtained for general cases." @default.
• W3198091926 created "2021-09-13" @default.
• W3198091926 creator A5000187836 @default.
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• W3198091926 date "2021-09-05" @default.
• W3198091926 modified "2023-10-17" @default.
• W3198091926 title "Inertia and rank approach in transformed linear mixed models for comparison of BLUPs" @default.
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• W3198091926 doi "https://doi.org/10.1080/03610926.2021.1967397" @default.
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