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 The Odd Exponentiated Half-Logistic-G Family: Properties, Characterizations and Applications
Type Article
Keywords
Journal CHILEAN JOURNAL OF STATISTICS
DOI
Researchers Ahmed Afify (First researcher) , Emrah Altun (Second researcher) , Morad Alizadeh (Third researcher) , G.G Hamedani (Fifth researcher)

Abstract

We introduce a new class of continuous distributions called the odd exponentiated half- logistic-G family. Some special models of the new family are provided. These special models are capable of modeling various shapes of aging and failure criteria. Some of its mathematical properties including explicit expressions for the ordinary and incomplete moments, generating function, Rényi and Shannon entropies, order statistics, probability weighted moments and characterizations are obtained. The maximum likelihood method is used for estimating the model parameters. The flexibility of the generated family is illustrated by means of three applications to real data sets.