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.
引用
收藏
页码:291 / 303
页数:12
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