November 16, 2024
Morad Alizadeh

Morad Alizadeh

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

Research

Title The Weighted Xgamma Model: Estimation, Risk Analysis and Applications
Type Article
Keywords
Anderson-Darling; Cullen and Frey plot; Key risk indicators; Risk exposure; Value-at-risk; Xgamma model
Journal Statistics, Optimization and Information Computing
DOI https://doi.org/10.19139/soic-2310-5070-1677
Researchers Majid Hashempour (First researcher) , Morad Alizadeh (Second researcher) , Haitham Yousof (Third researcher)

Abstract

The weighted xgamma distribution, a new weighted two-parameter lifespan distribution, is introduced in this study. Theoretical characteristics of this model are deduced and thoroughly examined, including quantile function, extreme value, moments, moment generating function, cumulative entropy, and residual cumulative. Some classical estimation methods such as the the maximum likelihood, weighted least square, Anderson Darling and Cramer-von-Mises are considered. A simulation experiments are performed to compare the estimation methods. Four real-life data sets is finally examined to demonstrate the viability of this model. Four key risk indicators are defined and analyzed under the maximum likelihood method. A risk analysis for the exceedances of flood peaks is presented.