摘要
The stress-strength model is widely applied in reliability. Observations are often subject to right censoring due to some practical limitations. In such circumstances, the statistical inference for the stress-strength model is demanding, although lacking. We propose a nonparametric method for the inference of the stress-strength model when the observations are subject to right censoring. The asymptotic properties are also established. The practical utility of the proposed method is assessed through both simulated and real data sets.
The stress-strength model is widely applied in reliability. Observations are often subject to right censoring due to some practical limitations. In such circumstances, the statistical inference for the stress-strength model is demanding, although lacking. We propose a nonparametric method for the inference of the stress-strength model when the observations are subject to right censoring. The asymptotic properties are also established. The practical utility of the proposed method is assessed through both simulated and real data sets.
基金
Supported by the National Natural Science Foundation of China(11301545,11401341,11326087)
the Fundamental Research Fund for the Central Universities(31541311216)
Scientific Research Fund of Fujian Education Department(JA13301)
Qingyang Regional Technology Cooperation Planning Project(KH201304)
Gansu Education Science "twelfth five-year" Planning Project(GS[2013]GHB1097)
