Modeling insurance data using generalized gamma regression
عنوان مقاله: Modeling insurance data using generalized gamma regression
شناسه ملی مقاله: JR_JSMTA-1-1_012
منتشر شده در در سال 1399
شناسه ملی مقاله: JR_JSMTA-1-1_012
منتشر شده در در سال 1399
مشخصات نویسندگان مقاله:
Hossein Zamani - Department of Statistics, University of Hormozgan
Marzieh Shekari - Department of Statistics, University of Hormozgan
Zohreh Pakdaman - Department of Statistics, University of Hormozgan
خلاصه مقاله:
Hossein Zamani - Department of Statistics, University of Hormozgan
Marzieh Shekari - Department of Statistics, University of Hormozgan
Zohreh Pakdaman - Department of Statistics, University of Hormozgan
The generalized gamma (GG) is a flexible distribution in statistical literature with the special cases of exponential, gamma, Weibull and lognormal distributions. This paper investigates the GG additive model for modeling hospital claim costs. In comparison to other models, the GG is more flexible and has a better performance in modeling positively skewed data. The proposed model was fitted to the hospital costs data from the nationwide inpatient sample of the health care cost and utilization project, a nationwide survey of hospital costs conducted by the U.S. Agency for healthcare research and quality. The results indicate that the claim cost is affected by the given explanatory variables and based on the AIC and BIC criteria, the GG has a better performance for the given data compared to the alternatives.
کلمات کلیدی: Generalized additive models, Generalized gamma distribution, Insurance
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1441877/