Add to ORKGA shorter version of this paper with the new title “Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theory ” will b
Statistical regression models are widely used in highway safety for modeling motor vehicle crash dat...
In practice crash and/or injury counts are modeled using a single equation or a series of independen...
Providing safe travel from one point to another is the main objective of any public transportation a...
There has been considerable research conducted over the last 20 years focused on predicting motor ve...
There has been considerable research conducted on the development of statistical models for predicti...
Over the last 20 to 30 years, there has been a significant amount of tools and statistical methods t...
Abstract: This paper addresses the Zero-inflated Poisson (ZIP) regression model as an effective way ...
Crash prediction models still constitute one of the primary tools for estimating traffic safety. The...
This paper provides an insight and comparison of the Poisson model and Poisson-Gamma model (also kno...
This paper develops a semi-nonparametric Poisson regression model to analyze motor vehicle crash fre...
1 The Poisson-gamma (negative binomial or NB) distribution is still the most common probabilistic di...
Statistical models have been very popular for estimating the performance of highway safety improveme...
This paper documents the application of the Conway-Maxwell-Poisson (COM-Poisson) generalized linear ...
This paper documents the application of the Poisson Inverse Gaussian (PIG) regression model for mode...
Gaining a better understanding of the factors that affect the likelihood of a vehicle crash has been...
Statistical regression models are widely used in highway safety for modeling motor vehicle crash dat...
In practice crash and/or injury counts are modeled using a single equation or a series of independen...
Providing safe travel from one point to another is the main objective of any public transportation a...
There has been considerable research conducted over the last 20 years focused on predicting motor ve...
There has been considerable research conducted on the development of statistical models for predicti...
Over the last 20 to 30 years, there has been a significant amount of tools and statistical methods t...
Abstract: This paper addresses the Zero-inflated Poisson (ZIP) regression model as an effective way ...
Crash prediction models still constitute one of the primary tools for estimating traffic safety. The...
This paper provides an insight and comparison of the Poisson model and Poisson-Gamma model (also kno...
This paper develops a semi-nonparametric Poisson regression model to analyze motor vehicle crash fre...
1 The Poisson-gamma (negative binomial or NB) distribution is still the most common probabilistic di...
Statistical models have been very popular for estimating the performance of highway safety improveme...
This paper documents the application of the Conway-Maxwell-Poisson (COM-Poisson) generalized linear ...
This paper documents the application of the Poisson Inverse Gaussian (PIG) regression model for mode...
Gaining a better understanding of the factors that affect the likelihood of a vehicle crash has been...
Statistical regression models are widely used in highway safety for modeling motor vehicle crash dat...
In practice crash and/or injury counts are modeled using a single equation or a series of independen...
Providing safe travel from one point to another is the main objective of any public transportation a...