Abstract
The Exponential Dispersion Family is a rich family of distributions, comprised of several distributions, some of which are heavy-tailed and as such could be of significant relevance to actuarial science. The family draws its richness from a dispersion parameter σ2 = 1/λ which is equal to 1 in the case of the Natural Exponential Family. We consider three cases. In the first λ is assumed known, in the second a prior distribution for λ is given, and in the third the prior distribution of λ is not known and is derived by means of the maximum entropy principle, assuming the prior mean of λ can be specified. For these cases, a conjugate prior distribution for the risk parameter is assumed and credibility formulae are derived for the estimation of the fair premium.
Original language | English |
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Pages (from-to) | 89-96 |
Number of pages | 8 |
Journal | Scandinavian Actuarial Journal |
Volume | 1998 |
Issue number | 1 |
DOIs | |
State | Published - 1 Jan 1998 |
Keywords
- Credibility formula
- Exponential dispersion family
- Fair premium
- Maximum entropy
ASJC Scopus subject areas
- Statistics and Probability
- Economics and Econometrics
- Statistics, Probability and Uncertainty