Confidence intervals for nonparametric regression functions with missing data: Multiple design case

被引：0
作者：
Qingzhu Lei
Yongsong Qin
机构：
[1] Guangxi Normal University,School of Mathematical Sciences
来源：
Journal of Systems Science and Complexity | 2011年 / 24卷
关键词：
Confidence interval; missing at random; nonparametric regression; normal approximation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper considers two estimators of θ = g (x) in a nonparametric regression model Y = g (x) + ɛ (x ∈ (0, 1)p) with missing responses: Imputation and inverse probability weighted estimators. Asymptotic normality of the two estimators is established, which is used to construct normal approximation based confidence intervals on θ.
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页码：1204 / 1217
页数：13
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