December 18, 2025
Morad Alizadeh

Morad Alizadeh

Academic Rank: Associate professor
Address:
Degree: Ph.D in Statistics
Phone: 0
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title A Generalized Mixture of standard Logistic and skew Logistic distributions: Properties and applications
Type Article
Keywords
Logistic distribution, Mixture distribution, Skew Logistic distribution, maximum likelihood estimator, Likelihood ratio test
Journal Statistics, Optimization and Information Computing
DOI https://doi.org/10.19139/soic-2310-5070-2046
Researchers Partha Jyoti Hazarika (First researcher) , Jondeep Das (Second researcher) , Morad Alizadeh (Third researcher) , Javier E. Contreras-Reyes (Fourth researcher)

Abstract

In this paper, the generalized mixture of standard logistic and skew logistic is introduced as a new class of distribution. Some important mathematical properties of this novel distribution are discussed along with a graphical presentation of the density function. These properties include moment generating function, mth order moment, mean deviation, characteristic function, entropy, among others. Moreover, a location scale type extension of the proposed distribution is considered, and the maximum likelihood estimation method for this model is presented. To examine the performance of the estimated parameters of the proposed distribution, a simulation study is also conducted using the rejection sampling method. Furthermore, an application using two real-life data sets are also illustrated. Finally, the likelihood ratio test is performed to study the discrepancies between proposed model with their counterparts.