Novel Type I Half Logistic Burr-Weibull Distribution: Application to COVID-19 Data.

Autor: Alshanbari HM; Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia., Odhah OH; Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia., Almetwally EM; Department of Statistics, Faculty of Business Administration, Delta University of Science and Technology, Egypt.; The Scientific Association for Studies and Applied Research, Al Manzalah 35646, Egypt., Hussam E; Department of Mathematics, Helwan University, Faculty of Science, Cairo, Egypt., Kilai M; Department of Mathematics, Pan African Institute of Basic Science Technology and Innovation, Nairobi, Kenya., El-Bagoury AH; Basic Science Department, Higher Institute of Engineering and Technology, El-Mahalla El-Kubra, Egypt.
Jazyk: angličtina
Zdroj: Computational and mathematical methods in medicine [Comput Math Methods Med] 2022 Aug 18; Vol. 2022, pp. 1444859. Date of Electronic Publication: 2022 Aug 18 (Print Publication: 2022).
DOI: 10.1155/2022/1444859
Abstrakt: In this work, we presented the type I half logistic Burr-Weibull distribution, which is a unique continuous distribution. It offers several superior benefits in fitting various sorts of data. Estimates of the model parameters based on classical and nonclassical approaches are offered. Also, the Bayesian estimates of the model parameters were examined. The Bayesian estimate method employs the Monte Carlo Markov chain approach for the posterior function since the posterior function came from an uncertain distribution. The use of Monte Carlo simulation is to assess the parameters. We established the superiority of the proposed distribution by utilising real COVID-19 data from varied countries such as Saudi Arabia and Italy to highlight the relevance and flexibility of the provided technique. We proved our superiority using both real data.
Competing Interests: The authors declare that they have no conflicts of interest.
(Copyright © 2022 Huda M. Alshanbari et al.)
Databáze: MEDLINE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje