May 15, 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 Exponential-X Family:Modeling Extreme Value Data in the Finance Sector
Type Article
Keywords
heavy tailed, moments, estimation, T-X family
Journal MATHEMATICAL PROBLEMS IN ENGINEERING
DOI 10.1155/2021/8759055
Researchers Zubair ahmad (First researcher) , Rasool Roozegar (Third researcher) , Morad Alizadeh (Fourth researcher) , Ahmed Afify (Fifth researcher)

Abstract

In this paper, a family of statistical models, namely, a new exponential-X family is proposed. A subcase of the introduced family,called the new exponential-Weibull (NE-Weibull) model, is studied. Te NE-Weibull model is very competent and possesses heavy-tailed properties. Te maximum likelihood estimators of its parameters are derived. Te consistency and efficiency of these estimators are assessed in a brief simulation study. Finally, the effectiveness of the NE-Weibull distribution is illustrated by modeling real insurance claims data. Te practical analysis shows that the NE-Weibull distribution outclassed other distributions and it can be a better choice for modeling data in the finance sector.