Abstract
We propose a new estimation procedure for the right tail of a subexponential distribution, which is based on the upper order statistics of a sample. We prove weak convergence and asymptotic normality of our estimators. Furthermore, we review their small sample properties which have been studied by Monte Carlo simulation. Finally, we apply the estimation procedure to a sample of automobile liability data from an excess of loss reinsurance treaty.
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