Journal of the Korean Data and Information Science Society

한국데이터정보과학회 (The Korean Data and Information Science Society)
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재조사에서 효율 향상을 위한 추정법 연구

Estimation to improve survey efficiency in callback

  • Park, Hyeonah (Department of Statistics, Seoul National University) ;
  • Na, Seongryong (Department of Information and Statistics, Yonsei University)
  • 투고 : 2015.02.23
  • 심사 : 2015.03.18
  • 발행 : 2015.03.31
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초록

표본조사에서 무응답이 발생한 개체에 대해 재조사 실시한 후 보조변수를 사용한 회귀추정의 형태를 가지는 추정량을 제시하고 복제치 기법을 이용한 분산추정량을 연구한다. 또한 응답여부에 따른 응답확률의 모수적 추론방법도 함께 제시한다. 재조사 후 모평균에 대하여 불편성을 만족하고 효율이 좋은 추정량과 일치성을 가지는 분산추정량을 이론적으로 연구하고 모의실험을 통하여 연구의 타당성을 입증한다.

After performing callback for nonresponses in sample survey, we present an estimator of regression form using an auxiliary variable and a variance estimator using replicate method. Parametric inference method of the response probability is also presented. We research an unbiased estimator of high efficiency for the population mean and a variance estimator with consistency under callback. We also prove the validity of the theory through the simulation.

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참고문헌

  1. Deming, W. E. (1953). On a Probability Mechanism to Attain an Economic Balance Between the Resultant Error of Response and the Bias of Nonresponse. Journal of the American Statistical Association, 48, 743-772. https://doi.org/10.1080/01621459.1953.10501197
  2. Elliott, M. R., Little, R. J. and Lewitzky, S. (2000). Subsampling callbacks to improve survey efficiency. Journal of the American Statistical Association, 95, 730-738. https://doi.org/10.1080/01621459.2000.10474261
  3. Han, H. and Byun, J. (2014). Callbacks effects on nonresponse bias. Survey Research, 15, 21-45.
  4. Hansen, M. H. and Hurwitz, W. N. (1946). The Problem of Nonresponse in Sample Surveys. Journal of the American Statistical Association, 41, 517-529. https://doi.org/10.1080/01621459.1946.10501894
  5. Isaki, C. T. and Fuller, W. A. (1982). Survey design under the regression superpopulation model. Journal of the American Statistical Association, 77, 89-96. https://doi.org/10.1080/01621459.1982.10477770
  6. Ismail, M., Shahbaz, M. Q. and Hanif, M. (2000). A general class of estimator of population mean in presence of non-response. Pakistan Journal of Statistics, 27, 467-476.
  7. Kim, S., Lee, S. and Yoon, Y. (2005). Formation of unit nonresponse weighting adjustment cell using multivariate regression trees. Journal of The Korean Official Statistics, 10, 172-190.
  8. Kim, J. K. and Park, H. (2006). Imputation using response probability. The Canadian Journal of Statistics, 34, 171-182. https://doi.org/10.1002/cjs.5550340112
  9. Okafor, F. C. and Lee, H. (2000). Double sampling for ratio and regression estimation with sub-sampling the non-respondents. Survey Methodology, 26, 183-188.
  10. Park, H., Na, S. and Jeon, J. (2008). Estimation using response probability under callbacks. Statistics and Probability Letters, 78, 1735-1741. https://doi.org/10.1016/j.spl.2008.01.030
  11. Park, H. and Jeon, J. (2010). Using response probability and ratio imputation in the estimation under callbacks. Journal of the Korean Statistical Society, 39, 511-521. https://doi.org/10.1016/j.jkss.2009.11.001
  12. Park, H. and Park, W. (2013). Usage of auxiliary variable and neural network in doubly robust estimation. Journal of theKorean Data & Information Science Society, 24, 659-667. https://doi.org/10.7465/jkdi.2013.24.3.659

피인용 문헌

  1. Bias caused by nonresponses and suggestion for increasing response rate in the telephone survey on election vol.27, pp.2, 2016, https://doi.org/10.7465/jkdi.2016.27.2.315