Exponentiated Extended Chen Distribution: Regression Model and Estimations

  • Mohammad Rea Kazemi Fasa University
  • Ali Akbar Jafari Department of Statistics, Yazd University, Yazd, Iran
  • Saeid Tahmasebi Department of Statistics, Persian Gulf University, Bushehr, Iran
  • Morad Alizadeh Department of Statistics, Persian Gulf University, Bushehr, Iran
  • G.G. Hamedani Department of Mathematics, Statistics and Computer Science, Marquette University, Milwaukee, USA
DOI: https://doi.org/10.19139/soic-2310-5070-1090
Keywords: Chen Distribution, Maximum likelihood estimator, Multiple regression, Characterizations

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.

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Published
2021-08-17
How to Cite
Kazemi, M. R., Jafari, A. A., Tahmasebi, S., Alizadeh, M., & Hamedani, G. (2021). Exponentiated Extended Chen Distribution: Regression Model and Estimations. Statistics, Optimization & Information Computing, 10(3), 710-724. https://doi.org/10.19139/soic-2310-5070-1090
Issue
Vol 10 No 3 (2022)
Section
Research Articles
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