Bayesian Estimation For The Odd Chen–Gamma Distribution Under Asymmetric Loss Functions
DOI:
https://doi.org/10.31185/wjps.874Keywords:
Odd Chen–Gamma distribution, Bayesian estimation, Exponential prior, hypothetical prior, Asymmetric loss functions.Abstract
In this study, a new two-parameter lifetime distribution called the Odd Chen–Gamma distribution is proposed. The probability density function, cumulative distribution function, reliability function, and several important statistical properties of this distribution are derived. Bayesian analysis is performed using two prior functions for the unknown shape parameter: the exponential (informative) prior and a hypothetical prior. The Bayesian estimator of the shape parameter is obtained under two asymmetric loss functions, namely the De-Groot and the Al-Bayyati loss function. A simulation study is conducted to evaluate the performance of the Bayesian estimators by examining their mean squared errors under different parameter values and various sample sizes.
References
El-Morshedy, M., Eliwa, M. S., & Afify, A. Z. (2020). The Odd Chen Generator of Distributions: Properties and Estimation Methods with Applications in Medicine and Engineering. Journal of the National Science Foundation of Sri Lanka, 48(2), 121–132. DOI: https://doi.org/10.4038/jnsfsr.v48i2.8790
Eliwa, M., & El-Morshedy, M. (2021). Exponentiated Odd Chen-G Family of Distributions: Statistical Properties, Bayesian and Non-Bayesian Estimation with Applications. Journal of Applied Statistics, 48(11), 1948–1974. DOI: https://doi.org/10.1080/02664763.2020.1783520
Tlhaloganyang, B., Sengweni, W., & Oluyede, B. (2022). The Gamma Odd Burr X-G Family of Distributions with Applications. Pakistan Journal of Statistics and Operation Research, 18(3), 721–746. DOI: https://doi.org/10.18187/pjsor.v18i3.4045
Kinacı, I., Karakaya, K., Akdoğan, Y., & Kuş, C. (2016). Bayesian Estimation for Discrete Chen Distribution. Hacettepe Journal of Mathematics and Statistics, 45(6), 1905–1920.
Habib, M. E., Hussein, E. A., Hussein, A. A., & Eisa, A. (2024). Odd Generalized Exponential Chen Distributions with Applications. Journal of Statistical Distributions and Applications, 11(1), Article 6.
Otoo, H., Inkoom, J., & Wiah, E. N. (2023). Odd Chen Exponential Distribution: Properties and Applications. Asian Journal of Probability and Statistics, 25(1), 35. DOI: https://doi.org/10.9734/ajpas/2023/v25i1535
Algarni, A. M., Refaey, R. M., & AL-Dayian, G. R. (2024). Bayesian and E-Bayesian Estimation for Odd Generalized Exponential Inverted Weibull Distribution. Journal of Business and Environmental Sciences, 3(2), 275–301. DOI: https://doi.org/10.21608/jcese.2024.288853.1061
Pradhan, B., & Kundu, D. (2010). Bayes Estimation and Prediction of the Two-Parameter Gamma Distribution. Journal of Statistical Planning and Inference, 140(11), 3126–3136.
Ogunwale, O. D., Adewusi, O. A., & Ayeni, T. M. (2019). Exponential-Gamma Distribution. International Journal of Emerging Technology and Advanced Engineering, 9(10), 245–249.
Adisa, A. A., Ayooluwa, O. E., Asimi, A., & Michael, A. T. (2025). Exponential-Gamma-Rayleigh Distribution: Theory and Properties. Asian Journal of Probability and Statistics, 27(3), 134–144. DOI: https://doi.org/10.9734/ajpas/2025/v27i3730
Kumar, P., Sapkota, L. P., & Kumar, V. (2024). Odd Inverse Chen G-Family of Distributions with Applications. Aligarh Journal of Statistics, 44, 51–72.
Anzagra, L., Sarpong, S., & Nasiru, S. (2020). Odd Chen-G Family of Distributions. Springer-Verlag GmbH Germany. DOI: https://doi.org/10.1080/25742558.2020.1721401
Rasool, S. E. A., and Mohammed, S. F. (2023). New Odd Chen Fréchet Distributions: Properties and Applications. International Journal of Nonlinear Analysis and Applications, 14(4), 151–160.
Yassin, Alia Hussein & Dr.Awatif R.Al-Dubaicy. (2018). On the Bayes Estimation of Exponentiated Gumbel Shape Parameter. Master’s thesis, Department of Mathematics, College of Education, Al-Mustansiriyah University, Baghdad.
Qasim, Muslim Abdul Sattar & Dr.Awatif R.Al-Dubaicy. (2022). Bayesian Estimation of Three Distributions Using Different Types of Data. Master’s thesis, Department of Mathematics, College of Education, Mustansiriyah University, Baghdad, Iraq.
Yanev, G. (2023). On Characterization of the Exponential Distribution Via Hypoexponential Distributions. Journal of Statistical Theory and Practice, 17, 30. DOI: https://doi.org/10.1007/s42519-023-00327-6
Al-Aqtash, R. ,Lee, C. and F. Felix (2014) ''Gumbel-Weibull Distribution: Properties and Applications'' Journal of Modern Applied Statistical Methods, Vol. 13 | Issue 2, Article 11. DOI: https://doi.org/10.22237/jmasm/1414815000
Kasim, Ahmed & Nada Karam, (2014)"Bayes Estimators of the Shape parameter of Exponentiated Rayleigh Distribution"(thesis) Department of Mathematics , College of Education , Al-Mustansiriyah University .
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Fatima Mutair Ajil, Awatif Rezzoky Al-Dubaicy

This work is licensed under a Creative Commons Attribution 4.0 International License.





