这份报纸认为在 nonparametric 回归的 = g (x) 的二个评估者为 Y = g (x)+ 建模(x (0, 1 ) p ) 与失踪的回答:归罪和反的概率加权的评估者。二个评估者的 Asymptotic 规度被建立,它被用来构造正常近似基于的信心间隔在上。
This paper considers two estimators of θ= g(x) in a nonparametric regression model Y = g(x) + ε(x∈ (0, 1)p) with missing responses: Imputation and inverse probability weighted esti- mators. Asymptotic normality of the two estimators is established, which is used to construct normal approximation based confidence intervals on θ.