In this paper, a nonparametric estimator terminated of failure rate is constructed based on censored data, and its rates of convergence in mean square and strong consistency are given respectively.
本文在截尾样本下构造了失效率的一种截尾非参数估计，并给出了其均方收敛及强相合性的局部一致收敛速度。
In combination with the Bayes estimator for the parameter of linear exponential model under the same loss function, the nonparametric empirical Bayes estimator of the unknown parameter was obtained.
然后结合线性指数模型未知参数在相同损失函数之下的贝叶斯估计得到了未知参数的非参数经验贝叶斯估计。
The conditional density and the conditional mean are estimated by nonparametric method. Then the estimator of the parameter is proposed by the generalized method of moments.
使用非参数估计方法给出条件密度和条件均值的估计，在此基础上给出参数的广义矩估计。
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