March 1, 1983

Variance Estimation Using Auxiliary Information

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Abstract

Abstract Variance estimators under several sample designs are proposed and compared when auxiliary information is available. Improvement of the bias and mean squared error over some estimators commonly used in practice is illustrated. A Monte Carlo comparison of the estimators is also presented.

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Cary T. Isaki (Tue,) studied this question.

synapsesocial.com/papers/6a11c9e6a54a38d693fd3972 — DOI: https://doi.org/10.1080/01621459.1983.10477939

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Authors

Cary T. Isaki

United States Census Bureau

Journals

Journal of the American Statistical Association

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Institutions

Statistical Research (United States)

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Variance Estimation Using Auxiliary Information

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Abstract

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Cite this study

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References and Citations

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