Best linear unbiased predictor in the mixed model with incomplete data
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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.