The Statistical Modeling of Flow Data When the Poisson Assumption Is Violated

The Poisson model typically provides a poor fit to flow data but more complex models are difficult to operationalize, especially with production or attraction constraints. Quasi- and pseudo-likelihood approaches retain the attractive computational features of the Poisson model. A shopping model example suggests the latter approach to be preferable.