Stress-strength Reliability of Exponential Distribution based on Type-I Progressively Hybrid Censored Samples
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M. Mirjalili , H. Torabi , H. Nadeb 1, S. Bafekri. F. |
1- , honadeb@yahoo.com |
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Abstract: (6167 Views) |
Abstract: This paper considers the estimation of the stress-strength parameter, say R, based on two independent Type-I progressively hybrid censored samples from exponential populations with different parameters. The maximum likelihood estimator and asymptotic confidence interval for R are obtained. Bayes estimator of R is also derived under the assumption of independent gamma priors. A Monte Carlo simulation study is used to evaluate the performance of maximum likelihood estimator, Bayes estimator and asymptotic confidence interval. Finally, a pair of real data sets is analyzed for illustrative purposes.
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Keywords: Stress-strength model, Type-I progressive Hybrid censoring, Bayes estimator, Maximum likelihood estimator, Monte Carlo simulation. |
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Full-Text [PDF 188 kb]
(3227 Downloads)
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Type of Study: Research |
Subject:
General Received: 2016/11/23 | Accepted: 2016/11/23 | Published: 2016/11/23
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