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Missing data and auxiliary information in surveys

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Summary

This paper proposes estimation methods with auxiliary information when some observations are missing from the sample. These ratio, difference and regression methods are proposed for any sampling design and are compared with other complete case estimators.

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Acknowledgments

The authors would like to thank the referees for their many helpful comments and suggestions.

Research partially supported by MCYT (Spain) contract number BFM2001-3190.

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Authors and Affiliations

  1. Department of Statistics & OR, University of Granada, Spain

    M. Rueda

  2. Department of Statistics, University of Jaén, Spain

    S. González

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  1. M. Rueda
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  2. S. González
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Rueda, M., González, S. Missing data and auxiliary information in surveys. Computational Statistics 19, 551–567 (2004). https://doi.org/10.1007/BF02753912

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