Klodiana Bani, Arbër Qoshja, Aurora Simoni, Marselina Uzuni, "Application of Odd Chen-Log-Logistic Distribution to Covid-19 Data," WSEAS Transactions on Mathematics, vol. 23, pp. 765-774, 2024, DOI:10.37394/23206.2024.23.80
Klodiana Bani, Arbër Qoshja, Aurora Simoni, Marselina Uzuni. Application of Odd Chen-Log-Logistic Distribution to Covid-19 Data.
WSEAS Transactions on Mathematics. 2024;23:765-774. 10.37394/23206.2024.23.80
WSEAS Transactions on Mathematics
Print ISSN: 1109-2769, E-ISSN: 2224-2880
Volume 23, 2024
Application of Odd Chen-Log-Logistic Distribution to Covid-19 Data
Authors: , , ,
Abstract: This article created the Odd Chen-Log-Logistic distribution from Odd Chen-G family distributions. We derive various statistical features. The parameter estimation theory focuses on selecting the best estimators. We estimate distribution parameters using maximum likelihood, moment, least squares, weighted least, L-moment, maximum product spacing, and minimal distance methods. We will examine Kolmogorov-Smirnov simulation studies that compare estimator efficiency. Finally, we analyze a genuine COVID-19 data set to demonstrate the flexibility of our model and its accuracy compared to other distributions.
Keywords:
Log-Logistic distribution, Hazard Function, Maximum Likelihood, Moment Estimation, Simulations, COVID-19
Pages: 765-774 WSEAS Transactions on Mathematics, ISSN / E-ISSN: 1109-2769 / 2224-2880, Volume 23, 2024, Art. #80 DOI: 10.37394/23206.2024.23.80
×
Citation Tools