The three main parts of the course are:
1) Introduction to GLM (ch 1-6)
2) Methods of estimation (ch 7,9, handouts)
3) Multivariate response (ch 6, optional text, handouts)

A small fourth component is:  4) Other topics; e.g. the EM algorithm (handouts), Bartlett
corrections (ch 13), bias correction (ch 13), diagnostics (ch 12), etc.


Reading outside the textbooks is highly encouraged. I'll give a recommended reading list of
papers as we progress.