The logarithmic transformation is often useful for series that must be greater than zero and that grow exponentially. For example, Figure 2.21 shows a plot of an airline passenger miles series.

An efficient method for simulating a nonhomogeneous Poisson process with rate function λ (t) = exp (α 0 + α 1t) is given. The method is based on an identity relating the nonhomogeneous Poisson process ...

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 ...