Open Access
April 2017 Bivariate Copulas Parameters Estimation using the Trimmed L-moments Method
Amel Chine, Fatah Benatia
Afr. Stat. 12(1): 1185-1197 (April 2017). DOI: 10.16929/as/2017.1185.99

Abstract

The main purpose of this paper is to use the trimmed L-moments method for the introduction of a new estimator of multi-parametric copulas in the case where the mean does not exist. The consistency and asymptotic normality of this estimator is established. An extended simulation study shows the performance of the new estimator is carried

Le but principal de ce papier est d'utiliser la méthode des trimmed L-moments pour l'introduction d'un nouvel estimateur des copules multi-paramétriques dans le c as où la moyenne n'existe pas. La consistance et la normalité asymptotique de cet estimateur sont établies. Une étude de simulation étendue, qui montre la performance du nouvel estimateur, est menée

Citation

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Amel Chine. Fatah Benatia. "Bivariate Copulas Parameters Estimation using the Trimmed L-moments Method." Afr. Stat. 12 (1) 1185 - 1197, April 2017. https://doi.org/10.16929/as/2017.1185.99

Information

Received: 13 October 2016; Accepted: 8 April 2017; Published: April 2017
First available in Project Euclid: 22 April 2017

zbMATH: 1362.62067
MathSciNet: MR3638978
Digital Object Identifier: 10.16929/as/2017.1185.99

Subjects:
Primary: 62G05 , 62G20

Keywords: copulas , dependence measure , Gumbel copula , Trimmed L-moments

Rights: Copyright © 2017 The Statistics and Probability African Society

Vol.12 • No. 1 • April 2017
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