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Journal of Siberian Federal University. Mathematics & Physics, 2021, Volume 14, Issue 3, Pages 273–286
DOI: https://doi.org/10.17516/1997-1397-2021-14-3-273-286
(Mi jsfu913)
 

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
References:
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
Bibliographic databases:
Document Type: Article
UDC: 519.2
Language: English
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
Citation in format AMSBIB
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\by Ben~Dahmane~Khanssa, Benatia~Fateh, Brahimi~Brahim
\paper Estimating the mean of heavy-tailed distribution under random truncation
\jour J. Sib. Fed. Univ. Math. Phys.
\yr 2021
\vol 14
\issue 3
\pages 273--286
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\crossref{https://doi.org/10.17516/1997-1397-2021-14-3-273-286}
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    Журнал Сибирского федерального университета. Серия "Математика и физика"
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