Estimation of the Daily Recovery Cases in Egypt for COVID-19 Using Power Odd Generalized Exponential Lomax Distribution.

Autor: Mohamed H; Faculty of Commerce, Al-Azhar University, Cairo, Egypt., Mousa SA; Faculty of Commerce, (Girls Campus), Al-Azhar University, Cairo, Egypt., Abo-Hussien AE; Faculty of Commerce, (Girls Campus), Al-Azhar University, Cairo, Egypt., Ismail MM; Faculty of Commerce, Al-Azhar University, Cairo, Egypt.
Jazyk: angličtina
Zdroj: Annals of data science [Ann Data Sci] 2022; Vol. 9 (1), pp. 71-99. Date of Electronic Publication: 2021 Sep 06.
DOI: 10.1007/s40745-021-00336-x
Abstrakt: 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.
Competing Interests: Conflict of interestThe authors declare no conflict of interest.
(© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021.)
Databáze: MEDLINE
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