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Extended Odd Weibull Inverse Nadarajah- Haghighi Distribution with Application on COVID-19 in Saudi Arabia |
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PP: 85-99 |
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doi:10.18576/msl/100302
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Author(s) |
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Ehab M. Almetwally,
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Abstract |
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| The aim of this paper is to introduce a new suitable distribution for modeling the COVID-19 data in Saudi Arabia. A new distribution is a combination of the inverse Nadarajah-Haghighi distribution and the extended odd Weibull family to formulate the extended odd Weibull inverse Nadarajah-Haghighi (EOWINH) distribution with four parameters. A simple linear representation, hazard rate function, and moment generating function have been obtained of EOWINH distribution. To estimate the unknown parameters of the distribution of EOWINH, maximum likelihood, maximum product spacing, and Bayesian estimation methods are applied. For the Bayesian approximation, the Markov Chain Monte Carlo (MCMC) by using asymmetric loss function as a square error is obtained. To evaluate the use of estimation methods, a numerical result from the Monte Carlo simulation is obtained.
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