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 Log-Normal Distribution with Theory and Applications
Type Article
Keywords
Journal ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS
DOI
Researchers Emrah Altun (Second researcher) , Morad Alizadeh (Third researcher) ,

Abstract

In this paper, a new heavy-tailed distribution is used to model data with a strong right tail, as often occurs in practical situations. The proposed distribution is derived from the log-normal distribution, by using odd log-logistic distribution. Statistical properties of this distribution, including hazard function, moments, quantile function, asymptotics are derived. The unknown parameters are estimated by the maximum likelihood estimation procedure. For different parameter settings and sample sizes, a simulation study is performed and the performance of the new distribution is compared to beta log-normal. The new lifetime model can be very useful and its superiority is illustrated by means of two real data sets.