Table of Contents

Introduction to linear models. The distribution of linear and quadratic functions of normal vectors. Estimation and hypothesis testing for simple linear models. The analysis of means. The one-way classification model. The two-way classification model. More complex models. Estimation and hypothesis testing for the general linear model: general theory. The analysis of means and variance: special models. Variance component models. Appendices. References. Index.