Linear Mixed Models
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Fixed effects and random effects models are introduced with examples. Maximum likelihood (ML), restricted maximum likelihood (REML) and ANOVA methods of estimation of variance components are described, illustrating with the examples of one-way and two-way classification. Prediction of random effects is considered and the estimated best linear unbiased predictor (EBLUP) or the shrinkage estimator is developed.