Poisson Family Regression Techniques for Prediction of Crash Counts Using Bayesian Inference

Author:

Kumar C. Naveen,Parida M.,Jain S.S.

Publisher

Elsevier BV

Subject

General Medicine

Reference17 articles.

1. Bolstad, W.M. Introduction to Bayesian Statistics. John Wiley & Sons, Ltd, 2007.

2. El-Basyouny, K. and Sayed, T. Statistical Analysis of Crash Data: Alternative Modeling Methods. LAMBERT Academic Publishing, 2012.

3. Hauer, E. (1997) Observational Before-After Studies in Road Safety: Estimating the Effect of Highway and Traffic Engineering Measures on Road Safety. Elsevier Science Ltd, Oxford.

4. Raghavachari, M., A. Srinivasan and P. Sullo. (1997) Poisson Mixture Yield Models for Integrated Circuits: A Critical Review. Microelectronics Reliability, Vol.37, No.4, pp.565-580.

5. Lord, D., S.P. Washington and J.N. Ivan. Poisson, Poisson-Gamma and Zero-inflated Regression Models of Motor Vehicle Crashes: Balancing Statistical Fit and Theory, Accident Analysis & Prevention Vol.37, No.1, 2005, pp.35-46.

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