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