Estimating the Mean of Heavy-tailed Distribution under Random Truncation
Affiliation:
1. Laboratory of Applied Mathematics Mohamed Khider University
Abstract
Inspired by L.Peng’s work on estimating the mean of heavy-tailed distribution in the case of completed data. we propose an alternative estimator and study its asymptotic normality when it comes to the right truncated random variable. A simulation study is executed to evaluate the finite sample behavior on the proposed estimator
Publisher
Siberian Federal University
Subject
General Physics and Astronomy,General Mathematics