The Conway-Maxwell-Poisson (COM-Poisson) is a generalization of the Poisson
distribution which can model both under-dispersed and over-dispersed data.
However, the distribution, moments, and MLE cannot be computed in closed
form. This paper describes computational schemes and handy approximations
for the COM-Poisson.