November 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 The Odd Log-Logistic Poisson-G Family of Distributions
Type Article
Keywords
Journal Journal of Mathematical Extension
DOI
Researchers Morad Alizadeh (First researcher) , Mahdi Rasekhi (Third researcher) , Emrah Altun (Fourth researcher)

Abstract

We propose a new class of continuous distributions with two extra shape parameters named the Odd Log-Logistic Poisson-G family. Some of its mathematical properties including moments, quantile, generating functions and order statistics are obtained. We estimate the model parameters by the maximum likelihood method and present a Monte Carlo simulation study. The importance of the proposed family is demonstrated by means of three real data applications. Empirical results indicate that proposed family provides better fits than other well-known classes of distributions in real applications