The log-likelihood is just the (natural, usually) logarithm of the ordinary likelihood function. It is numerically easier to work with, and since log is a monotonic function, equivalent.<BR><BR ...

We introduce a deviance function that can be used in conjunction with the quasi-likelihood method. The need for such functions arises when the quasi-log likelihood function is not uniquely defined.

By combining these results we obtain general globally convergent iterative procedures for maximizing the likelihood function in any regular k-dimensional exponential family. The likelihood function ...

The LIK module computes the average log likelihood function. First, the average log likelihood function is computed using the default initial values: Z0=0 and VZ0= 106 I. The second call of module LIK ...

This example demonstrates how to use PROC NLIN with a likelihood function. In this case, the likelihood function to minimize is where and is the normal probability function. This is the likelihood ...