Accident Rate Potential: An Application of Multiple Regression Analysis of a Poisson Process

摘要: Abstract Various accident frequency models have appeared in the literature which predict distribution of future accidents based on number past accidents. This article presents a method for deriving such distributions using several predictive criteria. It is assumed that an individual's experience Poisson process with parameter linear function criterion variables. An iterative weighted least-squares procedure used to solve system maximum likelihood equations required estimating this and large sample test illustrated. The tenability model viewed light actual data.