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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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References

  1. Ahmed S, Muttlak H et al (2012) Stein-type estimation using ranked set sampling. J Stat Comput Simul 82(10):1501–1516

    Article  MathSciNet  Google Scholar 

  2. Al-Saleh MF, Samawi HM (2007) A note on inclusion probability in ranked set sampling and some of its variations. Test 16(1):198–209

    Article  MathSciNet  Google Scholar 

  3. Al-Saleh MF, Zheng G (2002) Theory & methods: estimation of bivariate characteristics using ranked set sampling. Aust N Z J Stat 44(2):221–232

    Article  MathSciNet  Google Scholar 

  4. Birnbaum Z, McCarty R (1958) A distribution-free upper confidence bound for \(pr\{ Y < X \}\), based on independent samples of X and Y. Ann Math Stat, 558–562

    Google Scholar 

  5. Chen Z, Bai Z, Sinha K (2004) Ranked set sampling: theory and application lecture notes in statistics, 176

    Google Scholar 

  6. Dell T, Clutter J (1972) Ranked set sampling theory with order statistics background. Biometrics pp 545–555

    Article  Google Scholar 

  7. Efron B, Tibshirani R (1993) An introduction to the bootstrap Chapman and Hall New York google scholar

    Google Scholar 

  8. Jozani MJ, Ahmadi J (2014) On uncertainty and information properties of ranked set samples. Inf Sci 264:291–301

    Article  MathSciNet  Google Scholar 

  9. Jozani MJ, Johnson BC (2011) Design based estimation for ranked set sampling in finite populations. Environ Ecol Stat 18(4):663–685

    Article  MathSciNet  Google Scholar 

  10. Jozani MJ, Johnson BC (2012) Randomized nomination sampling for finite populations. J Stat Plan Infer 142(7):2103–2115

    Article  MathSciNet  Google Scholar 

  11. Kotz S, Pensky M (2003) The stress-strength model and its generalizations: theory and applications. World Scientific

    Google Scholar 

  12. Kundu D, Raqab MZ (2009) Estimation of \(r= p (y<x)\) for three-parameter weibull distribution. Stat Probab Lett 79(17):1839–1846

    Google Scholar 

  13. Kvam PH, Samaniego FJ (1994) Nonparametric maximum likelihood estimation based on ranked set samples. J Am Stat Assoc 89(426):526–537

    Article  MathSciNet  Google Scholar 

  14. Mahdizadeh M, Zamanzade E (2016) Kernel-based estimation of \(p (x>y)\) in ranked set sampling. SORT 1:243–266

    Google Scholar 

  15. McIntyre G (1952) A method for unbiased selective sampling, using ranked sets. Aust J Agric Res 3(4):385–390

    Article  Google Scholar 

  16. Mehrotra K, Nanda P (1974) Unbiased estimation of parameters by order statistics in the case of censored samples. Biometrika, pp 601–606

    Google Scholar 

  17. Modarres R, Hui TP, Zheng G (2006) Resampling methods for ranked set samples. Comput Stat Data Anal 51(2):1039–1050

    Article  MathSciNet  Google Scholar 

  18. Murray R, Ridout M et al (2000) The use of ranked set sampling in spray deposit assessment. Asp Appl Biol 57:141–146

    Google Scholar 

  19. Muttlak H, Ahmed S, Al-Momani M (2010a) Shrinkage estimation in replicated median ranked set sampling. J Stat Comput Simul 80(11):1185–1196

    Article  MathSciNet  Google Scholar 

  20. Muttlak HA, Ahmed SE, Al-Momani M (2011) Estimation using two-sample and large sample theory in ranked set sampling. Pak J Stat 27(3):241–256

    MathSciNet  MATH  Google Scholar 

  21. Owen DB, Craswell K, Hanson DL (1964) Nonparametric upper confidence bounds for pr\(\{Y<X\}\) and confidence limits for \(\{pr Y<X\}\) when X and Y are normal. J Am Stat Assoc 59(307):906–924

    Google Scholar 

  22. Saleh AME (2006) Theory of preliminary test and Stein-type estimation with applications, vol 517. John Wiley & Sons

    Google Scholar 

  23. Samawi HM, Al-Sagheer OA (2001) On the estimation of the distribution function using extreme and median ranked set sampling. Biom J 43(3):357–373

    Article  MathSciNet  Google Scholar 

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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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Correspondence to Alireza Safariyan .

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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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