1994
DOI: 10.2307/2532828
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Practical Risk Theory for Actuaries.

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Cited by 98 publications
(65 citation statements)
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“…The derivation of claim size distributions from the loss data could be considered to be a separate discipline in its own [7]. The objective is to find a distribution function F which fits the observed data in a satisfactory manner.…”
Section: Claim Severities Distributionmentioning
confidence: 99%
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“…The derivation of claim size distributions from the loss data could be considered to be a separate discipline in its own [7]. The objective is to find a distribution function F which fits the observed data in a satisfactory manner.…”
Section: Claim Severities Distributionmentioning
confidence: 99%
“…The first parameter controls the thickness of the tail: the smaller the α, the heavier the tail. Empirical experience has shown that the Pareto formula is often an appropriate model for the claim size distribution, particularly when exceptionally large claims may occur [4,7]. However, there is a need to find heavy tailed distributions which offer yet greater flexibility.…”
Section: Claim Severities Distributionmentioning
confidence: 99%
“…The function is a very useful tool for testing the goodness of fit of an analytic distribution function to the observed claim size distribution function, see e.g. [3].…”
Section: General Formulae For Premiums Under Deductiblesmentioning
confidence: 99%
“…[3]. The objective is to find a distribution function F which fits the observed data in a satisfactory manner.…”
Section: Examplementioning
confidence: 99%
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