• DISCRETE MARSHALL–OLKIN LOMAX DISTRIBUTION APPLICATION OF COVID-19

GAMAL M. IBRAHIM*

Abstract


This research aims to manage the risks of spreading Corona-Virus over the world, by specifying the optimal statistical modeling to analyze the daily count of new cases of the COVID-19, therefore discrete distributions were needed. A new three-parameter discrete distribution has been improved named as a Discrete Marshall–Olkin Lomax (DMOL) distribution. Probability mass function and hazard rate are discussed. Based on the maximum likelihood estimation (MLE) for the DMOL distribution parameters are discussed. A numerical study is done using the daily count of new cases in Argentina and Uganda. Monte Carlo Simulation has been performed to evaluate the restricted sample properties of the proposed distribution.


Keywords


COVID-19; Hazard Rate; Discrete Distributions; Survival Discretization; Maximum Likelihood Estimation; Marshall–Olkin Lomax.

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