IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v47y2018i21p5227-5240.html
   My bibliography  Save this article

The exact distribution function of the ratio of two dependent quadratic forms

Author

Listed:
  • Edmund Rudiuk
  • Aleksander Kowalski

Abstract

A closed-form representation of the distribution function of the ratio of two linear combinations of Chi-squared variables is derived. The ratio is of the following form R = (X + aY)/(bY + Z), where X, Y, Z are independent Chi-square variables and a, b > 0. Two methods of obtaining the distribution function of this ratio are used. The exact density function of such a ratio is then obtained by differentiation. Two numerical examples are provided.

Suggested Citation

  • Edmund Rudiuk & Aleksander Kowalski, 2018. "The exact distribution function of the ratio of two dependent quadratic forms," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 47(21), pages 5227-5240, November.
  • Handle: RePEc:taf:lstaxx:v:47:y:2018:i:21:p:5227-5240
    DOI: 10.1080/03610926.2017.1388400
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2017.1388400
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03610926.2017.1388400?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:47:y:2018:i:21:p:5227-5240. 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.