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中文摘要：
假设单元的失效时间和修理时间服从参数不同的指数分布,给出了导弹武器系统中两单元并联可修系统未知参数的Bayes估计。在Bayes估计中,采用Monte-Carlo方法分别对LINEX损失及平方损失下的Bayes估计进行了比较研究。结果表明,选用LINEX损失下得到的估计有较小的均方误差。
英文摘要：
Assuming that the failure and repair time distributions of the units are exponential with unknown parameters,Bayes estimates of the parameters included in the components that belong to a parallel repairable system in the missile weapon system are obtained.Choosing LINEX loss function,the estimators of obtained are compared with the estimates of the same parameters relative to squared error loss by means of Monte-Carlo simulation.The conclusion is that the Bayes estimator is the best estimator under LINEX loss function in the sense of having smaller percentage errors.
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