一种新的0,1截断逆威布尔瑞利分布性质及其在COVID-19中的应用

M. A. Khaleel, A. Abdulwahab, A. M. Gaftan, M. K. Abdal-Hammed
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引用次数: 0

摘要

本文引入了一种新的2参数分布族,称为[0,1]截断逆威布尔-G族([0,1]TIW-G)族,以生成新的连续分布类型。考虑并定义了一种特殊的模型,即[0,1]截断逆威布尔瑞利分布([0,1]TIWR)分布,并推导了一些统计性质。给出了用最大似然估计法进行参数估计的方法,并通过仿真验证了该方法的精度。为了证明这种分布在当今应用中的效用,我们探索和调查了2020年12月14日至2021年4月30日期间伊拉克COVID-19的死亡率。
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A new 0, 1 truncated inverse Weibull rayleigh distribution properties with application to COVID-19
In this paper, we introduce a new 2-parameters family of distributions named [0,1] Truncated Inverse Weibull - G family ([0,1] TIW-G) family, to generate new types of continues distributions. A special model namely, [0,1] Truncated Inverse Weibull Rayleigh distribution ([0,1] TIWR) distribution is considered and defined and some of the statistical properties are derived. Parameter's estimations using MLE method is provided and a simulation is given to determine the accuracy of the method used above. To demonstrate the utility of the distribution in nowday's applications, we explore and investigate the death rates of COVID-19 in Iraq in the period from 14 December 2020 to 30 April 2021.
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