ABSTRACT
In prior chapters, I discussed how various generalized linear models (GLMs) and the general estimating equation (GEE) procedure work. I did not discuss much the algorithms for estimating the beta parameters. These algorithms are complex but are easily implemented in statistical computing packages, thus reducing the need for users to understand the algorithms. Nevertheless, some grasp of the algorithms is useful for understanding the underlying theory. It is difficult to read advanced articles and books on statistics without being somewhat literate in these estimation procedures. This chapter therefore presents an explanation of them.
