IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0089538.html
   My bibliography  Save this article

A Class of Ratio Estimators of a Finite Population Mean Using Two Auxiliary Variables

Author

Listed:
  • Jingli Lu
  • Zaizai Yan

Abstract

In sample surveys, it is usual to increase the efficiency of the estimators by the use of the auxiliary information. We propose a class of ratio estimators of a finite population mean using two auxiliary variables and obtain mean square error (MSE) equations for the class of proposed estimators. We find theoretical conditions that make proposed family estimators more efficient than the traditional ratio estimator and the estimators proposed by Abu-Dayeh et al. using two auxiliary variables. In addition, we support these theoretical results with the aid of a numerical example.

Suggested Citation

  • Jingli Lu & Zaizai Yan, 2014. "A Class of Ratio Estimators of a Finite Population Mean Using Two Auxiliary Variables," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-6, February.
    • Handle: RePEc:plo:pone00:0089538
    DOI: 10.1371/journal.pone.0089538
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0089538
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0089538&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0089538?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jingli Lu & Zaizai Yan & Xiuyun Peng, 2014. "A New Exponential Ratio-Type Estimator with Linear Combination of Two Auxiliary Variables," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-10, December.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0089538. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.