Exploring the application of the negative binomial-generalized exponential model for analyzing traffic crash data with excess zeros

By P. Vangala, D. Lord, S. Geedipally. 2015

50 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/a535b41be225c1f20d6d7899103f881627771e41

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. D. Lord

In Safety, Risk, Reliability and Quality

1. S. Geedipally
2. Mohammad Razaur Rahman Shaon
3. Xiao Qin
4. Mohammadali Shirazi
5. D. Lord
6. Yunlong Zhang

Citations in the corpus

• Developing a Random Parameters Negative Binomial-Lindley Model to analyze highly over-dispersed crash count data (2018, methodology): “Several mixed NB models have been proposed, including the NB-Lindley (NB-L), NBGeneralized Exponential (NB-GE), and NB-Dirichlet process (NB-DP) generalized linear models (GLMs) (Geedipally et al. 2012, Vangala et al. 2015, Rahman Shaon and Qin 2016, Shirazi et al. 2016).”