Article ID Journal Published Year Pages File Type
5076226 Insurance: Mathematics and Economics 2016 9 Pages PDF
Abstract

Estimating the distorted parameter in the case of non negative heavy-tailed losses has been treated in Brahimi et al. (2011). In this paper, we extend this work to the case of the real heavy-tailed losses. We derive an asymptotic distribution of the estimator. We construct a practically implemented confidence interval for the distortion parameter and illustrate the performance of the interval in a simulation study with application to real data.

Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
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