November 16, 2024
Mohammad Esmail Dehghan Monfared

Mohammad Esmail Dehghan Monfared

Academic Rank: Assistant professor
Address:
Degree: Ph.D in -
Phone: -
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title The Alpha-Beta Skew Logistic Distribution: Properties and Applications
Type Article
Keywords
Journal Statistics, Optimization and Information Computing
DOI
Researchers Fazlollah Lak (Second researcher) , Morad Alizadeh (Third researcher) , Mohammad Esmail Dehghan Monfared (Fourth researcher)

Abstract

A new family of skew distributions is introduced by extending the alpha skew logistic distribution proposed by Hazarika-Chakraborty [9]. This family of distributions is called the alpha-beta skew logistic (ABSLG) distribution. Density function, moments, skewness and kurtosis coefficients are derived. The parameters of the new family are estimated by maximum likelihood and moments methods. The performance of the obtained estimators examined via a Monte carlo simulation. Flexibility, usefulness and suitability of ABSLG is illustrated by analyzing two real data sets.