Benha University

Nora Mohamed Youseif

Asst. Lecturer

Faculty of Commerce Statistics,Math & Insurances

A New Bivariate Exponentiated Sine–Exponential Model via the FGM Copula with an Application

https://jcsr.journals.ekb.eg/ • 2026
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Publication Information
Authors N M Youseif ; A M Sarhan; Z M Nofel; M E-S Mohamed
Keywords FGM Copula, Bivariate modeling, Maximum Likelihood Estimation (MLE), Reliability analysis, Lifetime data.
Journal https://jcsr.journals.ekb.eg/
Publisher Faculty of Commerce, Benha University
Volume 9
Issue 1
Pages 367-389
publication.type Local
Paper Link Open Link
Supplementary Materials Not Available
Abstract
In this paper, We propose a novel bivariate probability model constructed by coupling exponentiated sine exponential marginal distributions via the Farlie-Gumbel-Morgenstern (FGM) copula, termed the FGM Bivariate Exponentiated Sine Exponential (FGMBESE) distribution. Key statistical properties of the model are derived and examined. The parameters of the proposed distribution are estimated using the method of maximum likelihood. Finally, the flexibility and effectiveness of the proposed model are illustrated through real data analysis.
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