On relations between BLUPs under two transformed linear random-effects models

A general linear random-effects model with that includes both fixed and random effects and its two transformed models and are considered without making any restrictions on correlation of random effects and any full rank assumptions. Predictors of joint unknown parameter vectors under the transformed models and have different algebraic expressions and different properties in the contexts of the two transformed models. In this situation, establishing results on relations and making comparisons in between predictors under the two models are the main focuses. We first investigate relationships of best linear unbiased predictors (BLUPs) of general linear functions of fixed and random effects under the models and and construct several equalities for the BLUPs. Then, the comparison problem of covariance matrices of BLUPs under the models is considered. We derive from matrix rank and inertia formulas the necessary and sufficient conditions for variety of equalities and inequalities of covariance matrices' comparisons under the models and A and B.

Automated summary

This study investigates a general linear random-effects model with both fixed and random effects, as well as its two transformed models. No restrictions are made on the correlation of random effects and any full rank assumptions. The focus is on establishing relationships and making comparisons between predictors under the two models.