Communications for Statistical Applications and Methods

  • 제12권2호
  • /
  • Pages.365-379
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  • 2005
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  • 2287-7843(pISSN)
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  • 2383-4757(eISSN)
한국통계학회 (The Korean Statistical Society)
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Variance Estimation for Imputed Survey Data using Balanced Repeated Replication Method

  • Lee, Jun-Suk (Department of Statistics, Sungkyungkwan University) ;
  • Hong, Tae-Kyong (Department of Statistics, Sungkyungkwan University) ;
  • Namkung, Pyong (Department of Statistics, Sungkyungkwan University)
  • 발행 : 2005.08.01
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초록

Balanced Repeated Replication(BRR) is widely used to estimate the variance of linear or nonlinear estimators from complex sampling surveys. Most of survey data sets include imputed missing values and treat the imputed values as observed data. But applying the standard BRR variance estimation formula for imputed data does not produce valid variance estimators. Shao, Chen and Chen(1998) proposed an adjusted BRR method by adjusting the imputed data to produce more accurate variance estimators. In this paper, another adjusted BRR method is proposed with examples of real data.

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참고문헌

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