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Generalized Classes of Estimators for Population Mean, Ratio and Product Using Rank of Auxiliary Character Under Double Sampling the Non-Respondents

Author

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  • Sinha Raghaw Raman

    (Department of Mathematics, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar-144011, India)

Abstract

In the present study, generalized classes of estimators for estimating population mean, ratio and product of two population means using rank of auxiliary character in presence of non-response are proposed. The bias and mean square error of proposed classes of estimators are obtained and their performances examined. Specific conditions under which the members of proposed classes of estimators attain minimum mean square error are obtained. Comparative study of the proposed classes of estimators with the relevant estimators is carried out. An empirical study is given to justify the efficiency of the proposed classes of estimators.

Suggested Citation

  • Sinha Raghaw Raman, 2020. "Generalized Classes of Estimators for Population Mean, Ratio and Product Using Rank of Auxiliary Character Under Double Sampling the Non-Respondents," Journal of Social and Economic Statistics, Sciendo, vol. 9(2), pages 1-12, December.
    • Handle: RePEc:vrs:jsesro:v:9:y:2020:i:2:p:1-12:n:1
    DOI: 10.2478/jses-2020-0009
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    References listed on IDEAS

    as
    1. Mazhar Yaqub & Javid Shabbir & Sat Narian Gupta, 2017. "Estimation of population mean based on dual use of auxiliary information in non response," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(24), pages 12130-12151, December.
    2. Housila Singh & Sunil Kumar, 2010. "Estimation of population product in presence of non-response in successive sampling," Statistical Papers, Springer, vol. 51(4), pages 975-996, December.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Estimators; Bias; Mean square error; Simple random sampling;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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