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A Generalized Exponential Type Estimator Of Population Mean In The Presence Of Non-Response

Author

Listed:
  • Muneer Siraj

    (Department of Statistics, University of Peshawar, Peshawar, Pakistan)

  • Shabbir Javid

    (Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan)

  • Khalil Alamgir

    (Department of Statistics, University of Peshawar, Peshawar, Pakistan)

Abstract

In this article, we propose a class of generalized exponential type estimators to estimate the finite population mean by using two auxiliary variables under non-response in simple random sampling. The proposed estimator under non-response in different situations has been studied and gives minimum mean square error as compared to all other considered estimators. Usual exponential ratio type estimator, exponential product type estimator and many more estimators are also identified from the proposed estimator. We use three real data sets to obtain the efficiencies of estimators.

Suggested Citation

  • Muneer Siraj & Shabbir Javid & Khalil Alamgir, 2018. "A Generalized Exponential Type Estimator Of Population Mean In The Presence Of Non-Response," Statistics in Transition New Series, Polish Statistical Association, vol. 19(2), pages 259-276, June.
    • Handle: RePEc:vrs:stintr:v:19:y:2018:i:2:p:259-276:n:6
    DOI: 10.21307/stattrans-2018-015
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    References listed on IDEAS

    as
    1. Housila Singh & Sunil Kumar, 2010. "Estimation of mean in presence of non-response using two phase sampling scheme," Statistical Papers, Springer, vol. 51(3), pages 559-582, September.
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