Semiparametric tail-index estimation for randomly right-truncated heavy-tailed data

Purpose – The purpose of this paper is to propose a semiparametric estimator for the tail index of Pareto-type random truncated data that improves the existing ones in terms of mean square error. Moreover, we establish its consistency and asymptotic normality. Design/methodology/approach – To constr...

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Bibliographic Details
Published in:Arab Journal of Mathematical Sciences
Main Authors: Saida Mancer, Abdelhakim Necir, Souad Benchaira
Format: Article
Language:English
Published: Emerald Publishing 2024-07-01
Subjects:
Online Access:https://www.emerald.com/insight/content/doi/10.1108/AJMS-02-2022-0033/full/pdf