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Estimation of finite population mean for a sensitive variable using dual auxiliary information in the presence of measurement errors

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  • Erum Zahid
  • Javid Shabbir

Abstract

In this study, we propose a new improved estimator of population mean for the sensitive variable in the presence of measurement error under simple and stratified random sampling. This estimator accounts the auxiliary information as well as the ranks of the auxiliary variable. From theoretical and numerical studies it is shown that a new improved estimator performs better than the existing estimators under study.

Suggested Citation

  • Erum Zahid & Javid Shabbir, 2019. "Estimation of finite population mean for a sensitive variable using dual auxiliary information in the presence of measurement errors," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-17, February.
    • Handle: RePEc:plo:pone00:0212111
    DOI: 10.1371/journal.pone.0212111
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    Cited by:

    1. Subhash Kumar Yadav & Tarushree Bari & Gajendra K. Vishwakarma, 2023. "Generalized Double Sampling Family of Estimators for Population mean of Sensitive Variable Harnessing Non-sensitive Auxiliary Variable and Attribute," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 54-76, May.

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