May 16, 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 A New Type II Half Logistic-G family of Distributions with Properties, Regression Models, System Reliability and Applications
Type Article
Keywords
Half logistic-G family; Incomplete moment; Regression; Survival; Reliability; Sim- ulation; Estimation
Journal APPLICATIONS AND APPLIED MATHEMATICS-AN INTERNATIONAL JOURNAL
DOI
Researchers Emrah Altun (First researcher) , Morad Alizadeh (Second researcher) , Haitham Yousof (Third researcher) , Mahdi Rasekhi (Fourth researcher) , G.G Hamedani (Fifth researcher)

Abstract

his study proposes a new family of distributions based on the half logistic distribution. With the new family, the baseline distributions gain flexibility through additional shape parameters. The important statistical properties of the proposed family are derived. A new generalization of the Weibull distribution is used to introduce a location-scale regression model for the censored response variable. The utility of the introduced models is demonstrated in survival analysis and estimationofthesystemreliability.Threedatasetsareanalyzed.Accordingtotheempiricalresults, it is observed that the proposed family gives better results than other existing models.