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Estimation of population mean using multi-auxiliary characters with subsampling the nonrespondents

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  • R. R. Sinha
  • B. B. Khare

Abstract

The aim of this paper is to suggest a class of two phase sampling estimators for population mean using multi-auxiliary characters in presence of non-response on study character. The expressions for bias and mean square error are obtained. The condition for minimum mean square error of the proposed class of estimators has been given. The optimum values of the size of first phase sample, second phase sample and the sub sampling fraction of non-responding group have been determined for the fixed cost and for the specified precision. A comparative study of the proposed class of estimators has been carried out with an empirical study.

Suggested Citation

  • R. R. Sinha & B. B. Khare, 2011. "Estimation of population mean using multi-auxiliary characters with subsampling the nonrespondents," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 12(1), pages 45-56, August.
    • Handle: RePEc:csb:stintr:v:12:y:2011:i:1:p:45-56
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    File URL: http://index.stat.gov.pl/repec/files/csb/stintr/csb_stintr_v12_2011_i1_n4.pdf
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    References listed on IDEAS

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    1. Pal N. & Sinha Β. K., 1990. "Estimation Of A Common Location Of Several Exponentials," Statistics & Risk Modeling, De Gruyter, vol. 8(1), pages 27-36, January.
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    Cited by:

    1. Sardar Hussain & Sohaib Ahmad & Sohail Akhtar & Amara Javed & Uzma Yasmeen, 2020. "Estimation of finite population distribution function with dual use of auxiliary information under non-response," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-24, December.

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