A Post-stratified Estimation in Multivariate Stratified Sampling Surveys

  • Park, Jinwoo (Assistant Professor Department of Applied Statistics Suwon University)
  • Published : 1999.12.01

Abstract

In multivariate stratified sampling surveys it is general to use a few stratification variables which are highly correlated with the important variables at design stage. But there might be some secondary study variables which are not so highly correlated with those stratification variables. In that case it is not efficient to use the same type of estimator due to the secondary variables as the one base on the important variables. A post-stratified estimation is proposed to increase the efficiency of the estimator with existence of secondary variables. The proposed method is illustrated with a set of fishery household population survey data.

Keywords

References

  1. 응용통계연구 v.11 no.1 농가경제조사의 현황과 개선방향 김규성
  2. 어업기본통계조사 표본설계 대한통계협회
  3. 응용통계연구 v.1 no.2 농업기본통계 및 가축통계조사의 표본설게연구 박홍래
  4. 응용통계연구 v.10 no.2 노동통계조사를 위한 표본설계 연구 이기재;전종우
  5. Proceeding of the social statistics section An optimal allocation algorithm for multivariate surveys Bethel, J.W.
  6. Survey Methodology v.15 Sampling allocation in multivariate surveys Bethel, J.W.
  7. Sample Survey Methods and Theory v.2 Hansen, M.H.;Hurwitz, W.N.;Madow, W.G.
  8. Journal of Royal Statistical Society Series A v.139 Optima and Proxima in Linear Sample Designs Kish, L.
  9. Proceeding of the social statistics section Optimizing sample allocation for multiple response variables Rahim, M.A.;Currie, S.