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Calibration methods for estimating quantiles

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Abstract

We propose a calibrated estimator of the quantiles of sample survey data and discuss the asymptotic theory behind it. This estimator is defined for any sampling design and uses the information available on J auxiliary variables. A simulation study based on a real population is used to compare the estimator with various methods proposed previously.

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Authors and Affiliations

  1. Department of Statistics and O.R, University of Granada, Granada, Spain

    M. Rueda & A. Arcos

  2. Department of Statistics and Applied Mathematics, University of Almería, Almería, Spain

    S. Martínez-Puertas & H. Martínez-Puertas

Authors
  1. M. Rueda
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  2. S. Martínez-Puertas
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  3. H. Martínez-Puertas
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  4. A. Arcos
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Correspondence to M. Rueda.

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Rueda, M., Martínez-Puertas, S., Martínez-Puertas, H. et al. Calibration methods for estimating quantiles. Metrika 66, 355–371 (2007). https://doi.org/10.1007/s00184-006-0116-1

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  • DOI: https://doi.org/10.1007/s00184-006-0116-1

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