IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v54y2025i3p831-849.html
   My bibliography  Save this article

An alternative multivariate exponential power distribution

Author

Listed:
  • Michael Manford
  • Bismark Kwao Nkansah
  • Henrietta Nkansah
  • Arimiyaw Zakaria

Abstract

In the existing multivariate Exponential Power Distribution (EPD), the shape parameter has the tendency to affect the variability in the data leading to distorted features of the distribution. This study resolves this problem by obtaining a generalized expression in place of the constant coefficient (0.5) of the quadratic form of the multivariate EPD as a function of the shape parameter, such that the variance-covariance matrix of the data is exactly equal to the scale parameter. The density function thus obtained is a more generalized multivariate EPD that provides flexibility in depicting the true underlying characteristics of the distribution for all sample sizes.

Suggested Citation

  • Michael Manford & Bismark Kwao Nkansah & Henrietta Nkansah & Arimiyaw Zakaria, 2025. "An alternative multivariate exponential power distribution," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 54(3), pages 831-849, February.
    • Handle: RePEc:taf:lstaxx:v:54:y:2025:i:3:p:831-849
    DOI: 10.1080/03610926.2024.2321506
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2024.2321506
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03610926.2024.2321506?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
    ---><---

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

    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:taf:lstaxx:v:54:y:2025:i:3:p:831-849. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/lsta .

    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.