IDEAS home Printed from https://ideas.repec.org/a/hin/jjmath/6196142.html
   My bibliography  Save this article

On Efficient Estimation of the Population Mean under Stratified Ranked Set Sampling

Author

Listed:
  • Shashi Bhushan
  • Anoop Kumar
  • Sana Shahab
  • Showkat Ahmad Lone
  • Md Tanwir Akhtar
  • Jia-Bao Liu

Abstract

This paper considers some efficient combined and separate classes of estimators of the population mean in the presence of bivariate auxiliary information under stratified ranked set sampling. The mean square error MSE expressions of the proffered combined and separate classes of estimators are derived to the first order of approximation. The theoretical conditions are obtained under which the proffered combined and separate classes of estimators perform better than the existing combined and separate class of estimators. Subsequently, numerical and simulation studies are performed using real and artificially generated populations. The numerical and simulation results are found to be rewarding, showing the superiority of the proffered estimators over the existing estimators.

Suggested Citation

  • Shashi Bhushan & Anoop Kumar & Sana Shahab & Showkat Ahmad Lone & Md Tanwir Akhtar & Jia-Bao Liu, 2022. "On Efficient Estimation of the Population Mean under Stratified Ranked Set Sampling," Journal of Mathematics, Hindawi, vol. 2022, pages 1-20, October.
    • Handle: RePEc:hin:jjmath:6196142
    DOI: 10.1155/2022/6196142
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/jmath/2022/6196142.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/jmath/2022/6196142.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2022/6196142?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
    ---><---

    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:hin:jjmath:6196142. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.