Parametric fractional imputation for nonignorable missing data

被引：0
|
作者：
Ji Young Kim
Jae Kwang Kim
机构：
[1] Yonsei University,Department of Applied Statistics
[2] Iowa State University,Department of Statistics
来源：
Journal of the Korean Statistical Society | 2012年 / 41卷
关键词：
62F99; 62D99; EM algorithm; Monte Carlo EM; Multiple imputation; Not missing at random;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Parameter estimation with missing data is a frequently encountered problem in statistics. Imputation is often used to facilitate the parameter estimation by simply applying the complete-sample estimators to the imputed dataset.
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页码：291 / 303
页数：12
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