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 extension of Odd Half-Cauchy Family of Distributions: properties and applications with regression modeling
Type Article
Keywords
T −X method; regression; simulation; estimation
Journal Statistics in Transition
DOI 10.21307/stattrans-2021-039
Researchers Subrata Chakraburty (First researcher) , Morad Alizadeh (Second researcher) , Laba Handique (Third researcher) , Emrah Altun (Fourth researcher) , G.G Hamedani (Fifth researcher)

Abstract

The paper proposes a new family of continuous distributions called the extended odd half Cauchy-G. It is based on the T − X construction of Alzaatreh et al. (2013) by considering half Cauchy distribution for T and the exponentiated G(x;ξ) as the distribution of X. Several particular cases are outlined and a number of important statistical characteristics of this family are investigated. Parameter estimation via several methods, including maximum likelihood, is discussed and followed up with simulation experiments aiming to asses their performances. Real life applications of modeling two data sets are presented to demonstrate the advantage of the proposed family of distributions over selected existing ones. Finally, a new regression model is proposed and its application in modeling data in the presence of covariates is presented