May 15, 2024
Morad Alizadeh

Morad Alizadeh

Academic Rank: Assistant professor
Address:
Degree: Ph.D in Statistics
Phone: 0
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title The Odd Log-Logistic Exponentiated Weibull Distribution: Regression Modeling, Properties, and Applications
Type Article
Keywords
Journal Iranian Journal of Science and Technology Transaction A-Science
DOI
Researchers Ahmed Afify (First researcher) , Morad Alizadeh (Second researcher) , Thiago Ramirez (Fourth researcher) ,

Abstract

This paper introduces a new lifetime distribution, the so-called odd log-logistic exponentiated Weibull distribution. The new distribution has the advantage of being capable of modeling various shapes of aging and failure criteria. We derive various of its structural properties including ordinary and incomplete moments, quantile and generating functions, and order statistics. The new density function can be expressed as a linear mixture of exponentiated Weibull densities. We propose a log-linear regression model using a new distribution, the log-odd log-logistic exponentiated Weibull distribution. The maximum-likelihood method is used to estimate the model parameters. Simulation results to assess the performance of the maximum-likelihood estimation are discussed. We prove empirically the importance and flexibility of the new model by modeling four real data sets