Generalization of Log-Logistic Family with Quantile Regression Model
Abstract
A new general class of distributions is proposed by applying the transformation to the random variable that follows the generalized odd-logistic family. Using the proposed family, we introduce a flexible Weibull distribution. The importance of the proposed distribution is demonstrated and compared with different generalizations of the Weibull distribution via three real data applications. A quantile regression model is obtained using the newly developed Weibull model and compared with the standard Weibull quantile regression model through a real data application.
Fields of Study & Subjects
Statistical Distribution Estimation and Applications
Advanced Statistical Methods and Models
Statistical Methods and Bayesian Inference
Publication details
- Journal / source
- Mathematical and Computational Applications
- Volume
- 31
- Issue
- 1
- Pages
- 7–7
- Publication date
- 5 January 2026
- Language
- EN