1Ogunwale Olukunle Daniel, 2Ayeni Taiwo Michael, 3Odukoya Elijah Ayooluwa
1,2,3Department of Statistics, Ekiti State University, Ado-Ekiti Nigeria
DOI : https://doi.org/10.47191/ijmra/v5-i6-32Google Scholar Download Pdf
ABSTRACT:
This work examines the performance of Exponential-Gamma distribution and the existing Exponetial and Gamma in relative to the distribution that will best fit the data on Covid-19 death in Nigeria from March 2020 to April 2021. The parameters of the distribution were estimated using the method of maximum likelihood estimates. The newly developed Exponential-Gamma distribution was compared with the exiting Exponential and Gamma distributions using the log-likelihood function, Akaike information criterion (AIC), and Bayesian information criterion (BIC) as the criteria for selecting the best fit model. The results show that the newly developed Exponential-Gamma distribution performed better than the existing Exponential and Gamma distributions in contrast in terms of model fit, this showed that the newly developed Exponential-Gamma distribution is more flexible and precise in analyzing the Covid-19 data other than the existing Exponential and Gamma distributions.
KEYWORDS:Exponential-Gamma Distribution, Maximum likelihood Estimate, AIC, BIC, log-likelihood function, Covid19
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Volume 05 Issue 06 June 2022
There is an Open Access article, distributed under the term of the Creative Commons Attribution – Non Commercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting and building upon the work for non-commercial use, provided the original work is properly cited.
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