IDEAS home Printed from https://ideas.repec.org/a/csb/stintr/v15y2014i3p389-402.html
   My bibliography  Save this article

A class of two phase sampling estimators for ratio of two population means using multi-auxiliary characters in the presence of non-response

Author

Listed:
  • B. B. Khare
  • R. R. Sinha

Abstract

In this paper, a class of two phase sampling estimators for estimating the ratio of two population means using multi-auxiliary characters with unknown population means has been proposed in presence of non-response. The asymptotic bias, mean square error and minimum mean square error of the proposed class of estimators have been obtained. The optimum values of the sample at the first and the second phases along with the sub-sampling fraction of the non-responding group have been determined for the fixed cost and for the specified precision. The efficiency of the proposed class of estimators has also been shown through the theoretical and empirical studies.

Suggested Citation

  • B. B. Khare & R. R. Sinha, 2014. "A class of two phase sampling estimators for ratio of two population means using multi-auxiliary characters in the presence of non-response," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 15(3), pages 389-402, June.
  • Handle: RePEc:csb:stintr:v:15:y:2014:i:3:p:389-402
    as

    Download full text from publisher

    File URL: http://index.stat.gov.pl/repec/files/csb/stintr/csb_stintr_v15_2015_i3_n4.pdf
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:csb:stintr:v:15:y:2014:i:3:p:389-402. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Beata Witek (email available below). General contact details of provider: https://edirc.repec.org/data/gusgvpl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.