Exponentiated Extended Chen Distribution: Regression model and Estimations, By Saeid Tahmasebi

Research

Title	Exponentiated Extended Chen Distribution: Regression model and Estimations
Type	Article
Keywords	Chen distribution; Maximum likelihood estimator; Multiple regression; Characterizations
Journal	Statistics, Optimization and Information Computing
DOI	https://doi.org/10.19139/soic-2310-5070-1090
Researchers	Mohammad Reza Kazemi (First researcher) , Ali Akbar Jafari (Second researcher) , Saeid Tahmasebi (Third researcher) , Morad Alizadeh (Fourth researcher) , G.G Hamedani (Fifth researcher)

Abstract

In this paper, we introduce a new four-parameter generalized version of the Chen model called the exponentiated extended Chen distribution. Some results about the reliability characteristics of hazard rate function as well as some mathematical properties are provided. The maximum likelihood estimators and five approaches based on the concept of minimum spacing distance estimators are given for estimation of the model parameters and their performances in estimating of parameters are compared by means of Monte Carlo simulations. Also, a multiple regression model with the censored data based on proposed distribution is introduced