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