A new extended rayleigh distribution with applications of COVID-19 data.

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作者： Hisham M,Almongy ^[1] ; Ehab M,Almetwally ^[2] ; Hassan M,Aljohani ^[3] ; Abdulaziz S,Alghamdi ^[4] ; E H,Hafez ^[5]

作者单位： Department of Statistics, Faculty of Commerce, Mansoura University, Mansoura, Egypt. ^[1] Department of Statistics, Faculty of Business Administration, Delta University of Science and Technology, Egypt. ^[2] Department of Mathematics and Statistics, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia. ^[3] Department of Mathematics, College of Science & Arts, King Abdulaziz University, P. O. Box 344, Rabigh 21911, Saudi Arabia. ^[4] Mathematics Department, Faculty of Science, Helwan University, Helwan, Egypt. ^[5]

关键词 60E05 62F10 Bayesian COVID-19 Extended odd Weibull family Maximum product spacing Rayleigh distribution

DOI 10.1016/j.rinp.2021.104012

PMID 33728260

发布时间 2022-11-01

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Results in physics

2021年23卷

104012页

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A new extended rayleigh distribution with applications of COVID-19 data.

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A new extended rayleigh distribution with applications of COVID-19 data.

Results in physics

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Results in physics

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