Advances and Applications in Statistics
Volume 82, , Pages 1 - 7
(November 2022) http://dx.doi.org/10.17654/0972361722076 |
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A STRESS-STRENGTH MODEL FOR MEASURING THE ROLE OF GENDER IN COVID-19 MORTALITY
Rasha Ebaid, Essam Ahmed, Marwa Ali and Walid Elbadawy
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Abstract: As COVID-19 continues to spread out globally, one of the concerns in the scientific community is whether men are more likely to die from COVID-19 than women. In this paper, we try to answer this question using a copula-based stress-strength model. An application on a global dataset is given.
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Keywords and phrases: Frank copula, stress-strength model, IFM.
Received: July 31, 2022; Accepted: September 2, 2022; Published: October 20, 2022
How to cite this article: Rasha Ebaid, Essam Ahmed, Marwa Ali and Walid Elbadawy, A stress-strength model for measuring the role of gender in COVID-19 mortality, Advances and Applications in Statistics 82 (2022), 1-7. http://dx.doi.org/10.17654/0972361722076
This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License
References:
[1] W. Elbadawy and R. Ebaid, Assessing the performance of systems in controlling COVID-19 using a stress-strength model, Advances and Applications in Statistics 74 (2022), 1-10. [2] H. Joe and J. J. Xu, The estimation method of inference functions for margins for multivariate models, Technical Report No. 166, 1996. [3] F. Michiels and A. De Schepper, A copula test space model how to avoid the wrong copula choice, Kybernetika 44(6) (2008), 864-878. [4] A. Sklar, Fonctions de répartition à n dimensions et leurs marges, Publ. Inst. Statist. Univ. Paris 8 (1959), 229-231 (in French).
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