Abstract
Thus paper shows how credibility theory can be encompassed within the theory of Hierarchical Genezahzed Linear Models. It is shown that credibility estimates are obtained by including random effects in the model. The framework of Hierarchical Generalized Linear Models allows a more extensive range of models to be used than straightforward credibility theory. The model fitting and testing procedures can be carried out using a standard statistical package Thus, the paper contributes a further range of models which may be useful in a wide range of actuarial applications, including premium rating and claims reserving
Volume
27:1
Page
71-82
Year
1997
Keywords
predictive analytics
Categories
Financial and Statistical Methods
Statistical Models and Methods
Generalized Linear Modeling
Financial and Statistical Methods
Credibility
Actuarial Applications and Methodologies
Ratemaking
Actuarial Applications and Methodologies
Reserving
Publications
ASTIN Bulletin