首页> 中文期刊> 《武汉大学学报:自然科学英文版》 >Nonparametric Inference for the Stress-Strength Model under Right Censoring

Nonparametric Inference for the Stress-Strength Model under Right Censoring

         

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.

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