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Minimum variance unbiased estimation of stress-strength reliability under bivariate normal and its comparisons

机译:二元正态下应力强度可靠性的最小方差无偏估计及其比较

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摘要

In many industrial and natural phenomena, we need the probability that a component is smaller than the other component. Under a stressstrength model, this is reliability of an item. Under independent setup, there are different approaches for the estimation of such reliability. Here, estimation is considered under the dependent case. Under bi-variate setup uniformly minimum variance unbiased estimator is obtained. Also comparison with available estimator based on Maximum Likelihood Estimate (MLE) is done through Mean Square Error (MSE) and bias. Also these are compared by computing L-1 distance between their distribution functions. From this idea and numerical computations, UMVUE appears to be good.
机译:在许多工业和自然现象中,我们需要一个组件小于另一个组件的概率。在应力强度模型下,这就是项目的可靠性。在独立设置下,有不同的方法来估计这种可靠性。在此,在相关情况下考虑估计。在双变量设置下,统一获得最小方差无偏估计量。还通过均方误差(MSE)和偏差与基于最大似然估计(MLE)的可用估计器进行比较。还可以通过计算它们的分布函数之间的L-1距离来比较它们。从这个想法和数值计算来看,UMVUE看起来不错。

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