IDEAS home Printed from https://ideas.repec.org/a/gam/jstats/v8y2025i2p26-d1628320.html
   My bibliography  Save this article

The New Marshall–Olkin–Type II Exponentiated Half-Logistic–Odd Burr X-G Family of Distributions with Properties and Applications

Author

Listed:
  • Broderick Oluyede

    (Department of Mathematics and Statistical Sciences, Botswana International University of Science and Technology, Palapye 10071, Botswana)

  • Thatayaone Moakofi

    (Independent Researcher, Botswana)

  • Gomolemo Lekono

    (Department of Mathematics and Statistical Sciences, Botswana International University of Science and Technology, Palapye 10071, Botswana)

Abstract

We develop a novel family of distributions named the Marshall–Olkin type II exponentiated half-logistic–odd Burr X-G distribution. Several mathematical properties including linear representation of the density function, Rényi entropy, probability-weighted moments, and distribution of order statistics are obtained. Different estimation methods are employed to estimate the unknown parameters of the new distribution. A simulation study is conducted to assess the effectiveness of the estimation methods. A special model of the new distribution is used to show its usefulness in various disciplines.

Suggested Citation

  • Broderick Oluyede & Thatayaone Moakofi & Gomolemo Lekono, 2025. "The New Marshall–Olkin–Type II Exponentiated Half-Logistic–Odd Burr X-G Family of Distributions with Properties and Applications," Stats, MDPI, vol. 8(2), pages 1-38, April.
    • Handle: RePEc:gam:jstats:v:8:y:2025:i:2:p:26-:d:1628320
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2571-905X/8/2/26/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2571-905X/8/2/26/
    Download Restriction: no
    ---><---

    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:gam:jstats:v:8:y:2025:i:2:p:26-:d:1628320. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.