IDEAS home Printed from https://ideas.repec.org/a/ids/ijmore/v18y2021i2p264-287.html
   My bibliography  Save this article

Refined descriptive sample inference in the estimation of the cumulative distribution function

Author

Listed:
  • Oualid Saci
  • Megdouda Ourbih-Tari

Abstract

In this paper, we compare the estimators of the cumulative distribution function obtained by the refined descriptive (RD) sample and simple random (SR) sample, and show that the one obtained by RD sample is more efficient than that obtained by SR sample. For this purpose, we have compared the probability structure of RD sample and SR sample where the latter is generated using the principle of the RD sampling method. Simulation results of different distributions are given to validate the proposed theoretical comparison.

Suggested Citation

  • Oualid Saci & Megdouda Ourbih-Tari, 2021. "Refined descriptive sample inference in the estimation of the cumulative distribution function," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 18(2), pages 264-287.
    • Handle: RePEc:ids:ijmore:v:18:y:2021:i:2:p:264-287
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=112938
    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:ijmore:v:18:y:2021:i:2:p:264-287. 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=320 .

    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.