Maximum Likelihood (ML) and Restricted Maximum Likelihood (REML)

The prelims comprise: The model and likelihood function The ML estimation equations Asymptotic dispersion matrices for ML estimators Some remarks on computing ML results for 2-way crossed classification, balanced data a. 2-way crossed, random model, with interaction Restricted maximum likelihood (REML) Estimating fixed effects in mixed models ML or REML? Summary Exercises