Abstract
A Poisson distributed number of claims is not dispersed enough to fit real data. One therefore often uses a negative binomial distribution for models in a single period. This distribution can be constructed by mixing the Poisson parameter with a Gamma distribution. We therefore choose annually a new mixing parameter for the Cramér-Lundberg model. The asymptotic results obtained for the classical risk model can then be generalised to this more general risk model, both for small and large claims.
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Schmidli, H. (2017). The Ammeter Risk Model. In: Risk Theory. Springer Actuarial(). Springer, Cham. https://doi.org/10.1007/978-3-319-72005-0_7
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DOI: https://doi.org/10.1007/978-3-319-72005-0_7
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-72004-3
Online ISBN: 978-3-319-72005-0
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