Journal of the Korean Statistical Society

The Korean Statistical Society (한국통계학회)
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REGRESSION FRACTIONAL HOT DECK IMPUTATION

  • Kim, Jae-Kwang (Department of Applied Statistics, Yonsei University)
  • Published : 2007.09.30
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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

References

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