On robust tail index estimation under random censorship

In this paper, we propose a new robust tail index estimation for Pareto-type distributions in the framework of randomly samples, based on the ideas of Kaplan-Meier integration using the M-estimator of the tail index. We derive their asymptotic results. illustrate the performance and the robustness of this estimator for small large sample size in a simulation study.