IDEAS home Printed from https://ideas.repec.org/a/bot/rivsta/v74y2014i1p95-112.html
   My bibliography  Save this article

Estimation of finite population variance using auxiliary information in sample surveys

Author

Listed:
  • Housila P. Singh

    (Vikram University, Ujjain - India)

  • Alok K. Singh

    (Vikram University, Ujjain - India)

  • Ramkrishna S. Solanki

    (Vikram University, Ujjain - India)

Abstract

This paper addresses the problem of estimating the finite population variance using auxiliary information in sample surveys. Motivated by (Singh and Vishwakarma, 2009) some estimators of finite population variance have been suggested along with their properties in simple random sampling. The theoretical conditions under which the proposed estimators are more efficient than usual unbiased, usual ratio and (Singh et al., 2009) estimators have been obtained. Numerical illustrations are given in support of the present study.

Suggested Citation

  • Housila P. Singh & Alok K. Singh & Ramkrishna S. Solanki, 2014. "Estimation of finite population variance using auxiliary information in sample surveys," Statistica, Department of Statistics, University of Bologna, vol. 74(1), pages 95-112.
  • Handle: RePEc:bot:rivsta:v:74:y:2014:i:1:p:95-112
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:bot:rivsta:v:74:y:2014:i:1:p:95-112. 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: Giovanna Galatà (email available below). General contact details of provider: https://edirc.repec.org/data/dsbolit.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.