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A generalized estimator for finite population mean in the presence of measurement errors in stratified random sampling

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Abstract

A generalized estimator is introduced for finite population mean -Y in stratified random sampling when observations are contaminated with measurement errors. Many special cases of the proposed estimator are possible. The bias and mean square error of the proposed family of estimators are derived. The performance of the proposed estimator is evaluated both theoretically and empirically in the presence and absence of measurement error.

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Authors and Affiliations

  1. Department of Statistics, Lahore College for Women University, Lahore, 54660, Pakistan

    Sadia Khalil

  2. Department of Mathematics and Statistics, University of North Carolina-Greensboro, Greensboro, North Carolina, USA

    Sat Gupta

  3. Department of Statistics, National College of Business Administration & Economics, Lahore, Pakistan

    Muhammad Hanif

Authors
  1. Sadia Khalil
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  2. Sat Gupta
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  3. Muhammad Hanif
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Correspondence to Sadia Khalil.

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Khalil, S., Gupta, S. & Hanif, M. A generalized estimator for finite population mean in the presence of measurement errors in stratified random sampling. J Stat Theory Pract 12, 311–324 (2018). https://doi.org/10.1080/15598608.2017.1370621

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  • DOI: https://doi.org/10.1080/15598608.2017.1370621

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