title: Generalised linear accident models and goodness of fit testing.
abstract: This paper has two aims. The primary aim is to provide a practical resolution of the low mean value' problem, a barrier to goodness of fit testing for the commonly used generalised linear accident model. A secondary aim of the paper is to describe the underlying mechanism of these models, so making them fully accessible to the transport modeller.
authors.affiliation: Institute of Information Sciences and Technology, College of Sciences, Massey University, Palmerston North, New Zealand. g.r.wood@massey.ac.nz
authors.forename: G R
authors.initials: GR
authors.lastname: Wood
mesh_terms: D000063:Accidents, Traffic / Q000517:prevention & control* / Q000706:statistics & numerical data*; D006801:Humans; D016014:Linear Models; D016012:Poisson Distribution