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- W589634148 abstract "Over the last 20 to 30 years, there has been a significant amount of tools and statistical methods that have been proposed for analyzing crash data. Yet, the Poisson-gamma (PG) is still the most commonly used and widely acceptable model. The Poisson-Weibull (PW) distribution has only been applied once in highway safety and has not been used so far in the context of generalized linear model (GLM). This paper documents the application of the PW GLM for modeling motor vehicle crashes. The objectives of this study were to evaluate the application of the PW GLM for analyzing motor vehicle crashes and compare the results with the traditional PG model. To accomplish the objectives of the study, several PG and PW GLMs were developed and compared using two crash datasets. The results of this study show that the PW GLM performs as well as the PG GLM in terms of goodness-of-fit (GOF) statistics." @default.
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- W589634148 date "2012-01-01" @default.
- W589634148 modified "2023-09-23" @default.
- W589634148 title "Examining the Poisson-Weibull Generalized Linear Model for Analyzing Crash Data" @default.
- W589634148 hasPublicationYear "2012" @default.
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