IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v21y1972i2p174-176.html
   My bibliography  Save this article

Refinement and Extension of Distribution‐Free Discriminate Analysis

Author

Listed:
  • Larry E. Richards

Abstract

This paper contains both a refinement and an extension of a distribution‐free method of discriminate analysis proposed by Kendall and Stuart (1966). The Kendall and Stuart method is based on the assumption that, once a variable has been employed in the analysis, all of the discriminatory power or information of that variable has been exhausted. This assumption is shown to be not necessarily true, and a procedure is presented which enables one to utilize such information. Further, the Kendall and Stuart method is restricted to marginal frequency, distributions of possible discriminatory variables. It is shown that further discrimination may be possible by extending the examination to joint frequency distributions.

Suggested Citation

  • Larry E. Richards, 1972. "Refinement and Extension of Distribution‐Free Discriminate Analysis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 21(2), pages 174-176, June.
    • Handle: RePEc:bla:jorssc:v:21:y:1972:i:2:p:174-176
    DOI: 10.2307/2346489
    as

    Download full text from publisher

    File URL: https://doi.org/10.2307/2346489
    Download Restriction: no
    File URL: https://libkey.io/10.2307/2346489?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

    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:bla:jorssc:v:21:y:1972:i:2:p:174-176. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .

    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.