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This article is cited in 1 scientific paper (total in 1 paper)
Estimating the mean of heavy-tailed distribution under random truncation
Ben Dahmane Khanssa, Benatia Fateh, Brahimi Brahim Laboratory of Applied Mathematics, Mohamed Khider University, Biskra, Algeria
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.
Keywords:
random truncation, Hill estimator, Lynden-Bell estimator, heavy-tailed distributions.
Received: 10.09.2020 Received in revised form: 10.12.2020 Accepted: 20.02.2021
Citation:
Ben Dahmane Khanssa, Benatia Fateh, Brahimi Brahim, “Estimating the mean of heavy-tailed distribution under random truncation”, J. Sib. Fed. Univ. Math. Phys., 14:3 (2021), 273–286
Linking options:
https://www.mathnet.ru/eng/jsfu913 https://www.mathnet.ru/eng/jsfu/v14/i3/p273
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Abstract page: | 103 | Full-text PDF : | 33 | References: | 15 |
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