Abstract
The traditional linear credibility formula provides an exact expression for the predictive mean when the conditional loss distributions belong to the exponential dispersion family (EDF) and when the prior distribution is conjugate. When the claim size follows a distribution outside this family, the credibility formula offers an inaccurate estimation of the mean future claim. The established analogy between the credibility formula and stochastic approximation [Landsman, Z., Makov, U., 1999. On Stochastic Approximation and Credibility. Scand. Actuarial J., to appear] offers a way of devising credibility estimation for distributions other than members of the EDF. In this paper we suggest sequential credibility estimators which are suited to deal with distributions belonging to the symmetric location dispersion family.
Original language | English |
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Pages (from-to) | 291-300 |
Number of pages | 10 |
Journal | Insurance: Mathematics and Economics |
Volume | 24 |
Issue number | 3 |
DOIs | |
State | Published - 28 May 1999 |
Keywords
- Claim distribution
- Exponential power family
- Generalized Student-t family
- Generalized sequential credibility formula
- Linear credibility
- Stepwise optimal gain sequence
ASJC Scopus subject areas
- Statistics and Probability
- Economics and Econometrics
- Statistics, Probability and Uncertainty