Communications for Statistical Applications and Methods

  • 제9권3호
  • /
  • Pages.853-864
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  • 2002
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  • 2287-7843(pISSN)
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  • 2383-4757(eISSN)
한국통계학회 (The Korean Statistical Society)
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Chi-squared Tests for Homogeneity based on Complex Sample Survey Data Subject to Misclassification Error

  • Heo, Sunyeong (Department of Statistics, Changwon National University)
  • 발행 : 2002.12.01
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초록

In the analysis of categorical data subject to misclassification errors, the observed cell proportions are adjusted by a misclassification probabilities and estimates of variances are adjusted accordingly. In this case, it is important to determine the extent to which misclassification probabilities are homogeneous within a population. This paper considers methods to evaluate the power of chi-squared tests for homogeneity with complex survey data subject to misclassification errors. Two cases are considered: adjustment with homogeneous misclassification probabilities; adjustment with heterogeneous misclassification probabilities. To estimate misclassification probabilities, logistic regression method is considered.

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참고문헌

  1. Analysis report Dual frame NHIS/RDD methodology and field test Biemer, P. P.
  2. Communications in Statistics - Series A, Theory and Methods v.12 On triple sampling schemes for estimating from binomaial data with missclassification errors Hochberg, Y.;Tenenbein, A. https://doi.org/10.1080/03610928308828548
  3. The Annals of Statistics v.9 Inference from stratified samples : properties of the linearization, jackknife and balanced repeated replication method Krewski, D.;Rao, J. N. K. https://doi.org/10.1214/aos/1176345580
  4. Biometrika v.52 An investigation of the effect of misclassification on the properties of chi-square tests in the analysis of categorical data Mote, V. L.;Anderson, R. L.
  5. Measurement Errors in Surveys Chi-squared tests with complex survey data subject to misclassification error Rao, J. N. K.;Thomas, D. R.;P. P. Biemer(ed.);R. M. Groves(ed.);L. E. Lyberg(ed.);N. A. Mathiowetz(ed.)S. Sudman(ed.)
  6. Current Topics in Survey Sampling Chi-squared tests for contingency tables with proportions estimated from survey data Scott, A. J.;Rao, J. N. K.;D. Krewski(ed.);R. Platek(ed.);J. N. K. Rao(ed.)
  7. Journal of the American Statistical Association v.81 Adjusting for errors in classification and measurement in the analysis of partly and purely categorical data Selen, J. https://doi.org/10.2307/2287969
  8. Statistics v.27 Resampling methods in sample surveys (with discussion) Shao, J. https://doi.org/10.1080/02331889708802523
  9. Stata User's Guide, Release 5 StataCorp(ed.)
  10. Technometrics v.14 A double sampling scheme for estimating from misclassified multinomial data with application to sampling inspection Tenenbein, A. https://doi.org/10.2307/1266930