Abstract #300971

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JSM 2003 Abstract #300971
Activity Number: 414
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #300971
Title: Fractional Imputation Using Regression Imputation Model
Author(s): Jae-Kwang Kim*+
Companies: Hankuk University of Foreign Studies
Address: Department of Statistics, Yongin-Gun, , 449-791, Korea
Keywords: nonresponse ; variance estimation ; missing data
Abstract:

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. A variance estimator for the fractionally imputed estimator is proposed. By a suitable choice of imputation cells, the proposed point and variance estimators can be made robust against the failure of the assumed regression imputation model. Comparisons based on simulations are presented.


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