Risks, Volume 11, Issue 12
December 2023 - 17 articles
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Cover Story: In this study, we explore advanced techniques to address challenges in modeling insurance claim count data. We specifically focus on employing flexible methods such as zero-inflated and hurdle-generalized Poisson and negative binomial distributions. These models effectively handle excessive zeros and over-dispersion in claim counts. Our approach involves incorporating exposure as a covariate in both zero and count parts of the model, proving to be beneficial. Using three real datasets, we showcase the versatility and effectiveness of these models, highlighting their potential applications in insurance risk classification and beyond. View this paper