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Estimation using response probability when missing data happen on the second occasion

  • Park, Hyeonah (Department of Statistics, Seoul National University) ;
  • Na, Seongryong (Department of Information and Statistics, Yonsei University)
  • Received : 2013.12.04
  • Accepted : 2014.01.15
  • Published : 2014.01.31

Abstract

When the loss of samples appears under repeated surveys, new samples can often replace missing values. Estimators using response probability can be considered under repeated surveys on two occasions where new samples are selected instead of missing data on the second occasion. We propose a new estimator that uses both respondents and new samples on the second occasion. It is considered for the simulation setting that missing values can happen at the second occasion and are replaced by new samples. We can see that the proposed estimator is more efficient than that using a weighting adjustment method for respondents at the second occasion.

Keywords

References

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Cited by

  1. Variance estimation for distribution rate in stratified cluster sampling with missing values vol.28, pp.2, 2017, https://doi.org/10.7465/jkdi.2017.28.2.443