International Journal of Neutrosophic Science
IJNS
2690-6805
2692-6148
10.54216/IJNS
https://www.americaspg.com/journals/show/1965
2020
2020
Advancing Covid-19 Data Modeling: Introducing a Neutrosophic Extension of Ramous Louzada Distribution
Department of Mathematical Sciences, Faculty of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
Sundus Naji Al
Al-Aziz
Department of mathematics and Statistics, Central South University, Changsha Hunan, China
Irsa
Sajjad
Department of Applied Sciences, Symbiosis Institute of Technology, Symbiosis International (Deemed University) Pune, India
Javid Gani
Dar
Higher Istitute of Engineering and Technology, Elmahala Elkobra, Egypt
Abd Al-Aziz H. EL
Bagoury
In this research, we introduce a neutrosopic extension of the Ramous Louzada Distribution called the Inverse Ramous Louzada Distribution. We delve into several mathematical properties of this distribution, including the Survival function, Hazard Rate function, cumulative Hazard Rate function, and estimation technique. Moreover, we conduct a comparative analysis between the Inverse Weibull distribution and the traditional Ramous Louzada Distribution, which are two widely used distributions. Our aim is to assess the performance of the developed model through Maximum Likelihood Estimation (MLE), Standard Error (SE), and Goodness of Fit tests.
2023
2023
72
83
10.54216/IJNS.210408
https://www.americaspg.com/articleinfo/21/show/1965