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Estimation of population mean using information on auxiliary attribute in two-phase sampling

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  • Malik, Sachin
  • Singh, Rajesh

Abstract

In this paper, we have proposed an estimator for finite population mean using auxiliary information in form of attributes under double sampling. We have also derived the expression of mean squared error of the proposed estimator. The proposed estimator is compared with the simple mean per unit, usual double sampling ratio and product estimators. An empirical study is carried out to judge the merit of the proposed estimator.

Suggested Citation

  • Malik, Sachin & Singh, Rajesh, 2015. "Estimation of population mean using information on auxiliary attribute in two-phase sampling," Applied Mathematics and Computation, Elsevier, vol. 261(C), pages 114-118.
    • Handle: RePEc:eee:apmaco:v:261:y:2015:i:c:p:114-118
    DOI: 10.1016/j.amc.2015.03.045
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    Cited by:

    1. Housila P. Singh & Surya K. Pal, 2016. "A New Family Of Estimators Of The Population Variance Using Information On Population Variance Of Auxiliary Variable In Sample Surveys," Statistics in Transition New Series, Polish Statistical Association, vol. 17(4), pages 605-630, December.
    2. Monika Saini & Ashish Kumar, 2017. "Ratio estimators for the finite population mean under simple random sampling and rank set sampling," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 488-492, June.

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