Studies from University of Southern Denmark Have Provided New Data on Statistics and Probability (Conditional Tail Moment and Reinsurance Premium Estimation Under Random Right Censoring): Mathematics – Statistics and Probability

2023 NOV 08 (NewsRx) -- By a News Reporter-Staff News Editor at Math Daily News -- Current study results on Mathematics - Statistics and Probability have been published. According to news reporting originating from Odense, Denmark, by NewsRx correspondents, research stated, “We propose an estimator of the conditional tail moment (CTM) when the data are subject to random censorship. The variable of main interest and the censoring variable both follow a Pareto-type distribution.”

Financial supporters for this research include The authors sincerely thank the referees, the Associate Editor and Editor for their helpful comments on our paper. This work was supported by the French National Research Agency under Grant ANR-19-CE40-0013-01/ExtremReg project and by the CNRS Internationa, Agence Nationale de la Recherche (ANR), CNRS International Research Network MaDeF.

Our news editors obtained a quote from the research from the University of Southern Denmark, “We establish the asymptotic properties of our estimator and discuss bias-reduction. Then, the CTM is used to estimate, in case of censorship, the premium principle for excess-of-loss reinsurance.”

According to the news editors, the research concluded: “The finite sample properties of the proposed estimators are investigated with a simulation study and we illustrate their practical applicability on a dataset of motor third party liability insurance.”

This research has been peer-reviewed.

For more information on this research see: Conditional Tail Moment and Reinsurance Premium Estimation Under Random Right Censoring. Test, 2023. Test can be contacted at: Springer, One New York Plaza, Suite 4600, New York, Ny, United States. (Springer - www.springer.com; Test - http://www.springerlink.com/content/1133-0686/)

The news editors report that additional information may be obtained by contacting Yuri Goegebeur, University of Southern Denmark, Dept. of Mathematical and Computer Sciences, Campusvej 55, Dk-5230 Odense, Denmark. Additional authors for this research include Jing Qin and Armelle Guillou.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1007/s11749-023-00890. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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