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Treating nonresponse in the estimation of the distribution function

Author

Listed:
  • Rueda, M.
  • Martínez, S.
  • Illescas, M.

Abstract

The estimation of a finite population distribution function is considered when there are missing data. Calibration adjustment is used for dealing with nonresponse at the estimation stage. Several procedures are proposed and compared. A numerical study is carried out to evaluate the performances of estimators. Computational problems with the implementation of the proposed calibration estimators are also considered.

Suggested Citation

  • Rueda, M. & Martínez, S. & Illescas, M., 2021. "Treating nonresponse in the estimation of the distribution function," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 186(C), pages 136-144.
    • Handle: RePEc:eee:matcom:v:186:y:2021:i:c:p:136-144
    DOI: 10.1016/j.matcom.2020.07.027
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    References listed on IDEAS

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    1. Ted Chang & Phillip S. Kott, 2008. "Using calibration weighting to adjust for nonresponse under a plausible model," Biometrika, Biometrika Trust, vol. 95(3), pages 555-571.
    2. Jean‐François Beaumont, 2005. "Calibrated imputation in surveys under a quasi‐model‐assisted approach," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(3), pages 445-458, June.
    3. Éric Lesage & David Haziza & Xavier D’Haultfœuille, 2019. "A Cautionary Tale on Instrumental Calibration for the Treatment of Nonignorable Unit Nonresponse in Surveys," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(526), pages 906-915, April.
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    Cited by:

    1. María del Mar Rueda & Sergio Martínez-Puertas & Luis Castro-Martín, 2022. "Methods to Counter Self-Selection Bias in Estimations of the Distribution Function and Quantiles," Mathematics, MDPI, vol. 10(24), pages 1-19, December.

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