Many insurance premium principles are dened and various estimation procedures introduced in the literature. In this paper, we focus on the estimation of the excessof- loss reinsurance premium when the risks are randomly right-censored. The asymptotic normality of the proposed estimator is established under suitable conditions and its performance evaluated through sets of simulated data.Keywords: Heavy tails; Hill estimator; Kaplan-Meier estimator; Proportional hazard premium; Random censoring; Reinsurance treat
We consider a Cramér-Lundberg insurance risk process with the added feature of reinsurance. If an ar...
The study of extremes in missing data frameworks is a recent developing field. In particular, the ra...
We derive product limit estimators of survival times and failure rates for randomly right censored d...
We propose an estimator of the conditional tail moment (CTM) when the data are subject to random cen...
We use the so-called t-Hill tail index estimator proposed by Fabian (2001), rather than Hill's one, ...
In this paper, we propose a new robust tail index estimation procedure for Pareto-type distributions...
Several risk measures, such as the distorted insurance premium and the two-sided deviation (TSD) mea...
Many different premium principles have been proposed in the literature. In this paper, we focus on t...
In this paper we propose an asymptotic gaussian reduced bias estimator of the reinsurance premium of...
In general insurance, claims are often lower-truncated and right-censored because insurance contract...
Cataloged from PDF version of article.In most reliability studies involving censoring, one assumes t...
In this paper we study optimal reinsurance models from the per- spective of an insurer by minimizing...
The classical evaluation of pure premiums for excess of loss reinsurance with reinstatements require...
International audienceBayesian estimation of the tail index of a heavy-tailed distribution is addres...
In extreme value theory, the extreme-value index is a parameter that controls the behavior of a cumu...
We consider a Cramér-Lundberg insurance risk process with the added feature of reinsurance. If an ar...
The study of extremes in missing data frameworks is a recent developing field. In particular, the ra...
We derive product limit estimators of survival times and failure rates for randomly right censored d...
We propose an estimator of the conditional tail moment (CTM) when the data are subject to random cen...
We use the so-called t-Hill tail index estimator proposed by Fabian (2001), rather than Hill's one, ...
In this paper, we propose a new robust tail index estimation procedure for Pareto-type distributions...
Several risk measures, such as the distorted insurance premium and the two-sided deviation (TSD) mea...
Many different premium principles have been proposed in the literature. In this paper, we focus on t...
In this paper we propose an asymptotic gaussian reduced bias estimator of the reinsurance premium of...
In general insurance, claims are often lower-truncated and right-censored because insurance contract...
Cataloged from PDF version of article.In most reliability studies involving censoring, one assumes t...
In this paper we study optimal reinsurance models from the per- spective of an insurer by minimizing...
The classical evaluation of pure premiums for excess of loss reinsurance with reinstatements require...
International audienceBayesian estimation of the tail index of a heavy-tailed distribution is addres...
In extreme value theory, the extreme-value index is a parameter that controls the behavior of a cumu...
We consider a Cramér-Lundberg insurance risk process with the added feature of reinsurance. If an ar...
The study of extremes in missing data frameworks is a recent developing field. In particular, the ra...
We derive product limit estimators of survival times and failure rates for randomly right censored d...