Indian Journal of Science and Technology
Year: 2023, Volume: 16, Issue: 9, Pages: 622-631
Onika Bevny1*, G Kumar2, A V Raja3
1Department of Mathematics, Physics and Statistics, Faculty of Natural Sciences, University of Guyana, Georgetown, Guyana, South America
2Assistant Professor of Statistics, SRM Arts and Science College, Kattankulathur, India
3Senior Lecturer, Department of Mathematics, Physics and Statistics, Faculty of Natural Sciences, University of Guyana, Georgetown, Guyana, South America
Email: [email protected]
Received Date:18 September 2022, Accepted Date:05 February 2023, Published Date:04 March 2023
Objective: This study aims to find the best mathematical model for modeling the Covid-19 data of Guyana. Methods: The 2-parameter, 3-parameter Weibull distribution, and the Transmuted Weibull Distribution was used to model the Covid-19 data of Guyana using cumulative deaths that occurred on a daily basis from March 12th, 2020 to November 30th, 2021. The Covid-19 data of Guyana was extracted from the ‘ourworldindata’ website. Findings: The transmuted Weibull distribution is the best model for modeling the Covid-19 data of Guyana since it had the lowest AIC value than the other models. Novelty: Several transmuted distributions were developed to model the Covid-19 data of France, the United Kingdom, and Canada. However, in this study, a different transmuted distribution was chosen to model the Covid-19 data of Guyana.
Keywords: Mathematical Modeling; Covid19; Cumulative Deaths; Transmuted Weibull Distribution and Simulation Study
© 2023 Bevny et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)
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