IDEAS home Printed from https://ideas.repec.org/a/ids/ijores/v46y2023i4p550-570.html
   My bibliography  Save this article

A remedy for enhanced estimation of population mean using exponential ratio-cum-product type estimator under non-response

Author

Listed:
  • S.K. Yadav
  • Dinesh K. Sharma
  • Kate Brown
  • Shanya Baghel

Abstract

The present paper provides an improved estimation of the population mean of the study variable using known information on two auxiliary variables in the situation of non-response under a simple random sampling scheme. The bias and MSE of the proposed estimator are derived until the approximation of degree one. The optimal values of the scalars of the suggested estimator are obtained by minimising its MSE. The lowest MSE of the proposed estimator is also obtained for these optimal values of the scalars. Additionally, the bias and MSE are compared with a set of competing estimators, both theoretically and empirically. The theoretical efficiency conditions of the suggested estimator are compared to alternative estimators. These efficiency conditions are verified using two data sets from a natural population.

Suggested Citation

  • S.K. Yadav & Dinesh K. Sharma & Kate Brown & Shanya Baghel, 2023. "A remedy for enhanced estimation of population mean using exponential ratio-cum-product type estimator under non-response," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 46(4), pages 550-570.
    • Handle: RePEc:ids:ijores:v:46:y:2023:i:4:p:550-570
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=130055
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijores:v:46:y:2023:i:4:p:550-570. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=170 .

    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.