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One-step local M-estimates of partial linear models with missing date

机译:缺少日期的部分线性模型的一步本地M-估计

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In the case of response data missing, the variable bandwidth and one-step local M-estimates are employed to estimate the unknown function and the unknown parameter in the partial linear models. The estimators of nonparametric components are given by one-step local M-estimation, and the estimators of parametric components are obtained by one-step local M-estimation and average method. Moreover, the variable bandwidth is inserted to improve the one-step local M-estimation. At last, the asymptotical normality of these estimators is established.
机译:在缺少响应数据的情况下,采用可变带宽和一步本地M估计来估计部分线性模型中的未知功能和未知参数。非参数分量的估计由一步局部M估计给出,并且参数分量的估计由一步局部M估计和平均方法获得。此外,插入可变带宽以改善单步局部M估计。最后,建立了这些估算者的渐近常态。

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