May 5, 2024
Fazlollah Lak

Fazlollah Lak

Academic Rank: Associate professor
Address:
Degree: Ph.D in Statistics
Phone: 077
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title The Ristic-Balakrishnan odd log-logistic family of distributions: Properties and Applications
Type Article
Keywords
Journal Statistics, Optimization and Information Computing
DOI
Researchers Fazlollah Lak (Second researcher) , Emrah Altun (Third researcher)

Abstract

This paper investigates general mathematical properties of a new generator of continuous distributions with two extra parameter called the Ristic-Balakrishnan odd log-logistic family of distributions. We present some special models and investigate the asymptotes. The new density function can be expressed as a linear combination of exponentiated densities based on the same baseline distribution. Explicit expressions for the ordinary and incomplete moments, generating functions and order statistics, which hold for any baseline model, are determined. Further, we discuss the estimation of the model parameters by maximum likelihood and present a simulation study based on maximum likelihood estimation. A regression model based on proposed model was introduced. Finally, three applications to real data were provided to illustrate the potentiality of the family of distributions