The expectations of BLP and BLUP used as estimator for fixed effects and as
predictor for random effects were investigated concerning the property 'un
biasedness'. Different aspects of robustness research on prediction procedu
res are discussed. The robustness of BLUP and EBLUP was investigated with r
espect to the distribution of the random components of the model, the degre
e of balancedness of the experimental design, influence of the variance com
ponents ratio and different variance component estimators used in EBLUP(2)
on the bases of a computer simulation in the random one-way model. Criteria
used for the evaluation were the mean squared error (MSE) and the selectio
n gain. Besides, an idea of the overestimation of the accuracy of EBLUP by
the naive MSE approximation based on the MSE formulas of BLUP with variance
component estimations instead of unknown parameters is given.