Table of Contents
History and Comment.
The 1-Way Classification.
Balanced Data.
Analysis of Variance Estimation for Unbalanced Data.
Maximum Likelihood (ML) and Restricted Maximum Likelihood (REML).
Prediction of Random Variables.
Computing ML and REML Estimates.
Hierarchical Models and Bayesian Estimation.
Binary and Discrete Data.
Other Procedures.
The Dispersion-Mean Model.
Appendices.
References.
List of Tables and Figures.
Indexes.