Volume 9, Issue 7 (July 2022), Pages: 100-112

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 Original Research Paper

Modeling COVID-19 mortality data in four countries using odd generalized exponential Kumaraswamy-Inverse exponential distribution

 Author(s): Lamya A. Baharith *

 Affiliation(s):

 Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0001-8070-956X

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2022.07.011

 Abstract:

This study aims to introduce an optimum model to assess the COVID-19 death rate in Saudi Arabia, Canada, Italy, and Mexico. A novel five-parameter lifetime distribution termed the odd generalized exponential Kumaraswamy-inverse exponential distribution is presented by combining the Kumaraswamy-inverse exponential distribution with the odd generalized exponential generator. The theoretical features of the new distribution, as well as its reliability functions, moments, and order statistics are investigated. The odd generalized exponential Kumaraswamy-inverse exponential distribution is of special importance since its density has a variety of symmetric and asymmetric forms. Furthermore, the graphs of the hazard rate function exhibit various asymmetrical shapes such as decreasing, increasing, and upside-down bathtub shapes, and inverted J-shapes making The odd generalized exponential Kumaraswamy-inverse exponential distribution suitable for modeling hazards behaviors more likely to be observed in practical settings like human mortality, and biological applications. The proposed distribution parameters are estimated using the maximum likelihood approach and its effectiveness is demonstrated through both numerical study and applications to four COVID-19 mortality rate data sets. The odd generalized exponential Kumaraswamy-inverse exponential distribution provides the best fit to COVID-19 data compared to other extended forms of the Kumaraswamy and inverse exponential distributions which may attract wider applications in different fields.

 © 2022 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Odd generalized exponential generator, Kumaraswamy generalized family, Inverse-exponential distribution, COVID-19 data

 Article History: Received 3 January 2022, Received in revised form 24 March 2022, Accepted 20 April 2022

 Acknowledgment 

No Acknowledgment.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Baharith LA (2022). Modeling COVID-19 mortality data in four countries using odd generalized exponential Kumaraswamy-Inverse exponential distribution. International Journal of Advanced and Applied Sciences, 9(7): 100-112

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 Figures

 Fig. 1 Fig. 2 Fig. 3 Fig. 4 Fig. 5 Fig. 6 Fig. 7 Fig. 8 Fig. 9 

 Tables

 Table 1 Table 2 Table 3 Table 4 Table 5 Table 6 Table 7 Table 8 Table 9 Table 10 

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