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:: Volume 13, Number 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
S. M. Mirjalili, H. Torabi, H. Nadeb *, S. Bafekri. F.
, honadeb@yahoo.com
Abstract:   (1753 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]   (632 Downloads)    
Type of Study: Research | Subject: General
Received: 2016/11/23 | Accepted: 2016/11/23 | Published: 2016/11/23
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DOI: 10.18869/acadpub.jsri.13.1.5


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Mirjalili M, Torabi H, Nadeb H, Bafekri. F. S. Stress-strength Reliability of Exponential Distribution based on Type-I Progressively Hybrid Censored Samples. JSRI. 2016; 13 (1) :89-105
URL: http://jsri.srtc.ac.ir/article-1-218-en.html
Volume 13, Number 1 (9-2016) Back to browse issues page
مجله‌ی پژوهش‌های آماری ایران (علمی - پژوهشی) Journal of Statistical Research of Iran JSRI
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