A new [0, 1] truncated inverse Weibull rayleigh distribution properties with application to COVID-19 | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 237، دوره 13، شماره 1، خرداد 2022، صفحه 2933-2946 اصل مقاله (690.03 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.6026 | ||
| نویسندگان | ||
| Mundher Abdullah Khaleel* 1؛ Abdulwahab M. Abdulwahab1؛ Awni M. Gaftan1؛ Moudher Kh. Abdal-hammed2 | ||
| 1Department of Mathematics, Faculty of Computer and Mathematical Sciences, Tikrit University, Tikrit, Iraq. | ||
| 2Department of Public Administration, Department of Public Administration, Tikrit University, Tikrit, Iraq. | ||
| چکیده | ||
| 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. | ||
| کلیدواژهها | ||
| Rayleigh distribution؛ [0؛ 1] Truncated؛ Inverse Weibull family؛ Maximum likelihood Estimation | ||
| مراجع | ||
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