Comparison of Two Negative Binomial Regression Techniques in Developing Accident Prediction Models
By Karim El-Basyouny, Tarek Sayed. 2006
150 citations recorded by the source corpus.
Subfields: Public Health, Environmental and Occupational Health, Safety, Risk, Reliability and Quality, Transportation
View Paper: https://www.semanticscholar.org/paper/f45bd6aa7951243f483a3db906e808916d1bc964
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In Public Health, Environmental and Occupational Health
In Safety, Risk, Reliability and Quality
In Transportation
Citations in the corpus
- Modeling Traffic Incident Duration Using Quantile Regression (2016, methodology): “Traditional negative binomial and modified negative binomial were also used (16).”
- Effects of Varying Dispersion Parameter of Poisson–Gamma Models on Estimation of Confidence Intervals of Crash Prediction Models (2008, background): “As opposed to El-Basyouny and Sayed (15), they also reported that the ranking process for identifying hazardous sites can be dependent on the functional form used for estimating the models.”
- Comparison of Sichel and Negative Binomial Models in Estimating Empirical Bayes Estimates (2013, background): “Recent studies in transportation safety have shown that the dispersion parameter of NB models can be potentially dependent upon the explanatory variables and NB models with a varying dispersion parameter can provide better statistical fitting performance (23) or help describing the characteristics o”