Comparison of Sichel and Negative Binomial Models in Estimating Empirical Bayes Estimates
By Yajie Zou, D. Lord, Yunlong Zhang, Yichuan Peng. 2013
47 citations recorded by the source corpus.
Subfields: Building and Construction, Public Health, Environmental and Occupational Health, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/8a7e636530cd4d58e6ae521be5b7799ae6be9c33
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In Building and Construction
In Public Health, Environmental and Occupational Health
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Citations in the corpus
- Exploring the application of the negative binomial-generalized exponential model for analyzing traffic crash data with excess zeros (2015, methodology): “…2012; Hallmark et al., 2013; Xu and Sun, 2015), the Poisson-weighted exponential model (Zamani et al., 2014), the Poisson Inverse Gaussian (PIG) (Zha et al., 2015), the Negative Binomial-Crack (NBCR) distribution (Saengthong and Bodhisuwan, 2013), and the Sichel (SI) model (Zou et al., 2013; 2015).”
- Modeling over-dispersed crash data with a long tail: Examining the accuracy of the dispersion parameter in Negative Binomial models (2015, methodology): “This dispersion term can be easily used by transportation safety analysts to obtain reliable EB estimates within the SI modeling framework (Zou et al., 2013a).”