:: Volume 13, Issue 1 (9-2016) ::
JSRI 2016, 13(1): 89-105 Back to browse issues page
Stress-strength Reliability of Exponential Distribution based on Type-I Progressively Hybrid Censored Samples
M. Mirjalili S., H. Torabi, H. Nadeb 1, S. Bafekri. F.
1- , honadeb@yahoo.com
Abstract:   (4373 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.

Keywords: Stress-strength model, Type-I progressive Hybrid censoring, Bayes estimator, Maximum likelihood estimator, Monte Carlo simulation.
Full-Text [PDF 188 kb]   (1535 Downloads)    
Type of Study: Research | Subject: General
Received: 2016/11/23 | Accepted: 2016/11/23 | Published: 2016/11/23



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Volume 13, Issue 1 (9-2016) Back to browse issues page