The New Novel Discrete Distribution with Application on COVID‐19 Mortality Numbers in Kingdom of Saudi Arabia and Latvia

Abstract

This paper aims to introduce a superior discrete statistical model for the coronavirus disease 2019 (COVID-19) mortality numbers in Saudi Arabia and Latvia. We introduced an optimal and superior statistical model to provide optimal modeling for the death numbers due to the COVID-19 infections. This new statistical model possesses three parameters. This model is formulated by combining both the exponential distribution and extended odd Weibull family to formulate the discrete extended odd Weibull exponential (DEOWE) distribution. We introduced some of statistical properties for the new distribution, such as linear representation and quantile function. The maximum likelihood estimation (MLE) method is applied to estimate the unknown parameters of the DEOWE distribution. Also, we have used three datasets as an application on the COVID-19 mortality data in Saudi Arabia and Latvia. These three real data examples were used for introducing the importance of our distribution for fitting and modeling this kind of discrete data. Also, we provide a graphical plot for the data to ensure our results.

Generating Optimal Discrete Analogue of the Generalized Pareto Distribution under Bayesian Inference with Applications

“…These data comprise daily new deaths. The data are as follows: 52, 26, 36, 63, 52, 37,35,28,17,21,31,30,10,56,40,14,28,42,24,21,28,22,12,31,24,14,13,25,12,7,13,20,23,9,11,13,3,7,10,21,15,17,5,7,22,24,15,19,18,16,5,20,27. The data are available on the Worldometer website at [36].…”

“…Further, [24] discussed the discrete odd Perks-G class of distributions. Reference [25] introduced a new novel discrete distribution with an application to COVID-19, and [26] obtained a discrete Weibull Marshall-Olkin family of distributions.…”

Weighted power Maxwell distribution: Statistical inference and COVID-19 applications

“…In other words, we blended existing distributions together to create the new distribution. For more information, see [1][2][3][4][5][6][7][8][9]. One of the primary objectives of statistics is to develop applicable statistical models for occurrences in the real world that can be modelled using already existing probability distributions.…”

General two-parameter distribution: Statistical properties, estimation, and application on COVID-19

“…Most nations’ adoption of “strict” health and safety safeguards has slowed down the rate at which COVID-19 spreads worldwide. Many researchers studied this pandemic such as Nagy et al [ 1 ], Hossam et al [ 2 ], Khan et al [ 3 ], Abu El Azm et al [ 4 ], Riad et al [ 5 ], Sindhu et al [ 6 ], Meriem et al [ 7 ], Hassan et al [ 8 ], Akgül et al [ 9 ], Alsuhabi et al [ 10 ], Almetwally [ 11 ], Caccavo [ 12 ] and Liu et al [ 13 ].…”