Modeling Count Data in Risk Analysis and Reliability Engineering

This chapter presents classical (non-Bayesian) regression models for count data. This includes traditional multivariate linear regression, generalized regression models, and more recent semi-parametric and non-parametric regression models used in data mining. Then, the Bayesian approach for handling count data is also presented. The focus here is on formulating priors. Finally, the chapter concludes with a discussion of computational issues involved in using these models.

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