Best linear unbiased predictor in the mixed model with incomplete data

Abstract

The problem of predicting individual measurement is considered. This paper develops the Best Linear Unbiased Predictor (BLUP) of the fixed and random effects and the missing observations, under a mixed linear model. The mean square errors are also obtained.