In this article, estimation of a dynamic reliability measure based on ranked set sampling is studied when stress and strength variables are dependent. The proposed estimator is compared with the analogous estimator in simple random sampling theoretically and numerically. The results show that estimation using ranked set sampling design is often more precise. Also, the difference in precision of the two estimators is more pronounced as the correlation coefficient between stress and strength variables goes higher.
Mahdizadeh, M., & Zamanzade, E. (2018). Estimation of dynamic reliability for dependent stress and strength based on ranked set sampling. Journal of Advanced Mathematical Modeling, 8(2), 54-73. doi: 10.22055/jamm.2018.22688.1460
MLA
Mahdi Mahdizadeh; Ehsan Zamanzade. "Estimation of dynamic reliability for dependent stress and strength based on ranked set sampling". Journal of Advanced Mathematical Modeling, 8, 2, 2018, 54-73. doi: 10.22055/jamm.2018.22688.1460
HARVARD
Mahdizadeh, M., Zamanzade, E. (2018). 'Estimation of dynamic reliability for dependent stress and strength based on ranked set sampling', Journal of Advanced Mathematical Modeling, 8(2), pp. 54-73. doi: 10.22055/jamm.2018.22688.1460
VANCOUVER
Mahdizadeh, M., Zamanzade, E. Estimation of dynamic reliability for dependent stress and strength based on ranked set sampling. Journal of Advanced Mathematical Modeling, 2018; 8(2): 54-73. doi: 10.22055/jamm.2018.22688.1460
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