Key points are not available for this paper at this time.
This paper major goal is to create a model that may be used to model Italy’s Covid-19 Mortality rate. The Alpha Power Exponentiated Inverse Exponential distribution, often known as the APEIEx distribution, is employed in this situation with two shapes and one or more scale parameters. In this work, significant statistical features including the Survival function, Hazard function, Quantile function, the Middle value (Median), the Lower (1st) quantile, the Upper (3rd) quantile, the r th Moment, the Moment generating function, and the order statistics are investigated. With the aid of the BFGS method, the parameters of the proposed distribution are determined using maximum likelihood estimation. When compared to other distributions employed in this investigation, the proposed distribution clearly offers a better fit for the Italy’s Covid-19 Mortality rates data. This demonstrates the flexibility and adaptability of the APEIEx distribution for the Covid-19 Mortality rates in Italy
Kargbo et al. (Sun,) studied this question.