November 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 A new useful four-parameter extension of the Gumbel distribution: Properties, regression model and applications using the GAMLSS framework
Type Article
Keywords
Journal COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
DOI
Researchers Morad Alizadeh (First researcher) , Thiago Ramirez (Second researcher) , Edwin Ortega (Fifth researcher)

Abstract

In this paper we introduce a flexible extension of the Gumbel distribution called the odd log-logistic exponentiated Gumbel distribution. The new model was implemented in GAMLSS package of R software and a brief tutorial on how to use this package is presented throughout the paper. We provide a comprehensive treatment of its general mathematical properties. Further, we propose a new extended regression model considering four regression structures. We discuss estimation methods based on censored and uncensored data. Two simulation studies are presented and four real data sets are applied to illustrating the usefulness of the new model.