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 Lindley-G family of distributions: properties, Bayesian and non-Bayesian estimation with applications
Type Article
Keywords
Journal COMPUTATIONAL STATISTICS
DOI
Researchers Morad Alizadeh (First researcher) , Ahmed Afify (Second researcher) , Mohammed Eliwa (Third researcher) ,

Abstract

In this paper, a new class of distributions called the odd log-logistic Lindley-G family is proposed. Several of its statistical and reliability properties are studied in-detail. One members of the proposed family can have symmetrical, right-skewed, leftt-skewed and reversed-J shaped densities, and decreasing, increasing, bathtub, unimodal and reversed-J shaped hazard rates. The model parameters are estimated using the maximum likelihood and Bayesian methods. Monte-Carlo simulation study is carried out to examine the bias and mean square error of maximum likelihood and Bayesian estimators. Finally, four real data sets are analyzed to show the flexibility of the new family