Abstract
The stress-strength model has been widely used for reliability design of systems. The reliability of the model is defined as the probability that the strength is larger than the stress. This chapter considers the stress-strength model when both the stress and the strength variables follow the two-parameter proportional hazards family or the proportional reverse hazards family. These two distribution families include many commonly-used distributions, such as the Weibull distribution, the Gompertz distribution, the Kumaraswamy distribution and the generalized exponential distribution, etc. Based on complete samples and record values, we derive the maximum likelihood estimation for the these stress-strength reliability. We also present the generalized confidence intervals for these stress-strength reliability. The simulation results show that the proposed generalized confidence intervals work well.
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Acknowledgements
This work is supported by the National Natural Science Foundation of China under the contract numbers 11871431, 11671303, and First Class Discipline of Zhejiang - A (Zhejiang Gongshang University—Statistics).
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Wang, B.X., Jiang, P.H., Wang, X. (2019). The Stress-Strength Models for the Proportional Hazards Family and Proportional Reverse Hazards Family. In: Lio, Y., Ng, H., Tsai, TR., Chen, DG. (eds) Statistical Quality Technologies. ICSA Book Series in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-030-20709-0_12
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