使用幂奇广义指数洛马克斯分布估计埃及新冠肺炎每日康复病例数。
Estimation of the Daily Recovery Cases in Egypt for COVID-19 Using Power Odd Generalized Exponential Lomax Distribution.
作者信息
Mohamed Hanem, Mousa Salwa A, Abo-Hussien Amina E, Ismail Magda M
机构信息
Faculty of Commerce, Al-Azhar University, Cairo, Egypt.
Faculty of Commerce, (Girls Campus), Al-Azhar University, Cairo, Egypt.
出版信息
Ann Data Sci. 2022;9(1):71-99. doi: 10.1007/s40745-021-00336-x. Epub 2021 Sep 6.
Covid-19 has become an important topic this days, because of its bad effect in many fields such as Economics, industrial and commerce. In this paper, Covid-19 will be studied statistically point of view depending on the recovery cases in the Arab Republic of Egypt in the interval of (20 March to 20 August 2020). A power odd generalized exponential Lomax distribution has been considered. Some mathematical properties of the distribution are studied. The method of maximum likelihood and maximum product of spacings are used for estimating the model parameters. Also 95% asymptotic confidence intervals for the estimates of the parameters are derived. A simulation study was conducted to evaluate the numerical behavior of the estimates. The proposed methods are utilized to find estimates of the parameters of power odd generalized exponential Lomax distribution for the recovery cases of corona virus in Egypt.
由于新冠疫情在经济、工商业等诸多领域产生的不良影响，它在当下已成为一个重要话题。本文将从统计学角度，依据阿拉伯埃及共和国在2020年3月20日至8月20日期间的康复病例，对新冠疫情展开研究。文中考虑了一种幂奇广义指数洛马克斯分布。研究了该分布的一些数学性质。采用最大似然法和最大间距乘积法来估计模型参数。同时还推导了参数估计的95%渐近置信区间。进行了一项模拟研究以评估估计值的数值行为。所提出的方法被用于估计埃及新冠病毒康复病例的幂奇广义指数洛马克斯分布的参数。
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