Abstract
The stress-strength reliability (SSR) based on ranked set sampling is studied, where we propose a shrinkage estimator of SSR. Its asymptotic behavior is investigated, and an improved bootstrap confidence interval is also constructed. A simulation study is carried out in order to assess the inferential method developed here and the result is used in the analysis of apple tree data. Both asymptotic and simulation evidences revealed that our proposed shrinkage strategy performs well in the estimation of SSR based on ranked set sampling.
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Acknowledgements
The research of Professor S. Ejaz Ahmed was partially supported by the Natural Sciences and Engineering Research Council of Canada.
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Safariyan, A., Arashi, M., Ahmed, S.E., Arabi Belaghi, R. (2019). Reliability Analysis Using Ranked Set Sampling. In: Xu, J., Cooke, F., Gen, M., Ahmed, S. (eds) Proceedings of the Twelfth International Conference on Management Science and Engineering Management. ICMSEM 2018. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-93351-1_56
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DOI: https://doi.org/10.1007/978-3-319-93351-1_56
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