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REGRESSION FRACTIONAL HOT DECK IMPUTATION  

Kim, Jae-Kwang (Department of Applied Statistics, Yonsei University)
Publication Information
Journal of the Korean Statistical Society / v.36, no.3, 2007 , pp. 423-434 More about this Journal
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. 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.
Keywords
Missing data; nonresponse; variance estimation.;
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