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Comparison of Estimation on Sample Survey: Focusing on Weight Adjustment
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 Title & Authors
Comparison of Estimation on Sample Survey: Focusing on Weight Adjustment
Lee, Sang-Eun;
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 Abstract
In sample design, it is usually planned by purpose and the range of the announcing statistics from the survey. After survey, getting a proper and decent statistics, applying the proper weights on the results of survey is very important and necessary. Therefore in this study, three estimation methods which are raking, BLS and general linear regression method are compared with MSE, Coverage, CV, LE and NC.
 Keywords
Raking method;BLS method;GREG;large error;non-centrality;CV;
 Language
Korean
 Cited by
1.
BLS 보정 방법의 민감도에 관한 연구,이석진;신기일;

Communications for Statistical Applications and Methods, 2008. vol.15. 6, pp.843-858 crossref(new window)
2.
BLS 무응답 보정법을 이용한 대체법과 이월대체법에 관한 연구,이상은;신기일;

응용통계연구, 2010. vol.23. 5, pp.909-921 crossref(new window)
3.
고객 구매정보의 데이터마이닝 성능 향상을 위한 수정절사추출법 응용,문승호;

Journal of the Korean Data Analysis Society, 2010. vol.12. 1, pp.307-317
4.
수정된 BLS 가중치보정법,박정준;조기종;이상은;신기일;

Communications for Statistical Applications and Methods, 2011. vol.18. 3, pp.367-376 crossref(new window)
 References
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Deming, W. E. and Stephan, F. F. (1940). On a least squares adjustment of a sampled frequency table when the expected marginal totals are known, The Annals of Mathematical Statistics, 11, 427-444 crossref(new window)

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Oh, H. L. and Scheuren, F. (1987). Modifed raking ratio estimation, Survey Methodology, 13, 209-219.

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Sarndal, C. E., Swensson, B. and Wretman, J. (1992). Model Assisted Survey Sampling, Springer, New York.