publication venue for
- Developing a Random Parameters Negative Binomial-Lindley Model to analyze highly over-dispersed crash count data. 18:33-44. 2018
- Multilevel Dirichlet process mixture analysis of railway grade crossing crash data. 9:27-43. 2016
- Exploring the application of the Negative Binomial-Generalized Exponential model for analyzing traffic crash data with excess zeros. 7:29-36. 2015
- Modeling over-dispersed crash data with a long tail: Examining the accuracy of the dispersion parameter in Negative Binomial models. 5-6:1-16. 2015
- Analyzing different functional forms of the varying weight parameter for finite mixture of negative binomial regression models. 1:39-52. 2014
- Comparing three commonly used crash severity models on sample size requirements: Multinomial logit, ordered probit and mixed logit models. 1:72-85. 2014