Regression fractional hot deck imputation

被引：0

作者：

Kim, Jae Kwang ^{[1
]}

机构：

[1] Yonsei Univ, Dept Appl Stat, Seoul 120749, South Korea

来源：

JOURNAL OF THE KOREAN STATISTICAL SOCIETY | 2007年 / 36卷 / 03期

关键词：

missing data; nonresponse; variance estimation;

D O I：

暂无

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Imputation using a regression model is a method to preserve the correlation among variables and to provide imputed point estimators. We discuss the implementation of regression imputation using fractional imputation. By a suitable choice of fractional weights, the fractional regression imputation can take the form of hot deck fractional imputation, thus no artificial values are constructed after the imputation. A variance estimator, which extends the method of Kim and Fuller (2004), is also proposed. Results from a limited simulation study are presented.

引用

页码：423 / 434

页数：12

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