IDEAS home Printed from https://ideas.repec.org/a/epw/ejmath/v3y2022i4id14131.html

The Pareto-Rayleigh Distribution: Theory with Some Real-life Applications

Author

Listed:
  • Md. Shohel Rana
  • Md. Matiur Rahman Molla
  • Md. Mahabubur Rahman

Abstract

Pareto-Rayleigh (PR) distribution (a member of Pareto-X family proposed in [1]) is considered here to study. The estimated values of the model parameters are derived by the maximum likelihood estimation process. Different important properties of the introduced distribution are obtained. Four real-life applications are studied from various fields to evaluate the applicability of proposed PR model. An exclusive simulation has been conducted to observe the performance of the estimation technique. Finally, it is shown that the better fitness of newly developed model than others chosen models selected in this study.

Suggested Citation

  • Md. Shohel Rana & Md. Matiur Rahman Molla & Md. Mahabubur Rahman, 2022. "The Pareto-Rayleigh Distribution: Theory with Some Real-life Applications," European Journal of Mathematics and Statistics, European Open Science, vol. 3(4), pages 27-36, July.
    • Handle: RePEc:epw:ejmath:v:3:y:2022:i:4:id:14131
    DOI: 10.24018/ejmath.2022.3.4.131
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejmath/article/view/14131
    File Function: Abstract page
    Download Restriction: no
    File URL: https://eu-opensci.org/index.php/ejmath/article/download/14131/3178
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.24018/ejmath.2022.3.4.131?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

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:epw:ejmath:v:3:y:2022:i:4:id:14131. 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: Support Team (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejmath .

    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.