International Journal of Neutrosophic Science
IJNS
2690-6805
2692-6148
10.54216/IJNS
https://www.americaspg.com/journals/show/2292
2020
2020
Bayesian Approximation Methods of the Estimation for Generalized Exponential Distribution and Neutrosophic Approximation Methods
Department of Economics, Faculty of Administration and Economics, University of Al-Kufa, Iraq
Hanaa Saad M.
Shebib
Department of Statistics, Faculty of Administration and Economics, Mustanisiryah University, Iraq
Rawaa S. AL
AL-Saffar
In this article, we used approximate methods to obtain Bayes method estimations for the shape and scale parameters of the generalized exponential distribution, as three approximation methods were employed: Lindley approximation and neutrosophic Lindley approximation, Gibbs sampling and neutrosophic Gibbs sampling, the most important samples based on the gamma informative prior under the squared error loss function. Through different simulation experiments a comparison was made between those estimators of these three approximate methods, from the simulation results we found a relative preference for the important sampling method over the other two methods. The results of simulation experiments were also confirmed by applying these approximate methods to real data representing the operating times of one of the machines of the publishing, printing, and translation house in Baghdad. On the other hand, we apply the same method to the neutrosophic exponential distribution, and the results will be compared to the classical case.
2024
2024
273
286
10.54216/IJNS.230124
https://www.americaspg.com/articleinfo/21/show/2292