Volume 21, Issue 3 (9-2024)
jor 2024, 21(3): 137-150 |
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Zanboori A, Zare K, Zanboori E, Shokri S. Optimum Estimation of Stress-Resistance Parameter under Second Type Censored Samples in Poisson-Exponential Distribution. jor 2024; 21 (3) :137-150
URL: http://jamlu.liau.ac.ir/article-1-2203-en.html
URL: http://jamlu.liau.ac.ir/article-1-2203-en.html
1- Fars,kazeroun
Department of Statistics, Marvdasht branch, Islamic Azad university, Marvdasht, Iran ,Karim.zare@yahoo.com
Department of Statistics, Marvdasht branch, Islamic Azad university, Marvdasht, Iran ,
Abstract: (775 Views)
In this paper, the optimization of the stress-resistance parameter under the second type censored samples for the Poisson-exponential distribution with the same shape parameters has been investigated. In this study, Bayesian estimators using Monte Carlo Markov chain have been used to optimize the stress-resistance parameter. Also, to compare and check the efficiency of these estimators, a simulation study has been conducted and the results of reliability stress-resistance parameter estimators based on censored samples under loss functions have been compared with other estimators. Finally, a set of real data has been used to analyze and check the application of the proposed estimators.
Keywords: Bayes Estimation, Poisson-Exponential Distribution, Maximum Likelihood Estimation, Second Type Censoring, Exponential Linear Loss Function, Stress-Resistance Parameter.
Type of Study: Research |
Subject:
Special
Received: 2023/05/19 | Accepted: 2023/10/1 | Published: 2024/09/22
Received: 2023/05/19 | Accepted: 2023/10/1 | Published: 2024/09/22
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