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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국통계학회 CSAM(Communications for Statistical Applications and Methods) CSAM(Communications for Statistical Applications and Methods) 제26권 제4호
- 발행연도
- 2019.7
- 수록면
- 347 - 357 (11page)
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초록· 키워드
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We propose new classes of estimators of population mean under non-response using bivariate auxiliary information. Some improved regression (or difference) type estimators have been proposed in four different situations of non response along with their properties and the expressions for the bias and mean square errors of the proposed estimators are derived under double (two-stage) sampling scheme. The properties of the suggested class of estimators are studied and it is observed that the proposed estimators performed better when compared to conventional estimators proposed by Singh and Kumar (Journal of Statistical Planning and Inference, 140, 2536–2550, 2010b), Shabbir and Khan (Communications in Statistics - Theory and Methods, 42, 4127–4145, 2013) and Bhushan and Naqvi (Journal of Statistics and Management Systems, 18, 573–602, 2015). A comparative study is also conducted both theoretically as well as empirically in order to support the results.
목차
Abstract
1. Introduction
2. Existing estimators
3. Proposed estimators
4. An empirical study
5. Conclusion
References
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