In this paper, we consider "heavy-tailed" data, that is, data where extreme values are likely to occur. Heavy-tailed data have been analyzed using flexible distributions such as the generalized beta of the second kind, the generalized gamma and the Burr. These distributions allow us to handle...

Loss experiences, and corresponding insurance rates, are processes which evolve over time. In lieu of ignoring these temporal trends, several simple yet effective techniques for rate forecasting are presented in this paper. The techniques are statistically based and, as such, actively use the...