ABSTRACT
It is clear from Chapter 2 that much model fitting involves numerical function optimisation methods, which proceed by a succession of iterative steps. This is true for the method of maximum likelihood, but also necessary for other methods that we shall encounter later, such as the method of least squares, and methods based on empirical transforms. For simplicity, in this chapter we shall consider maximising likelihoods, but the ideas are of general application.
