IDEAS home Printed from https://ideas.repec.org/p/boc/scon17/1.html
   My bibliography  Save this paper

The Multivariate Dustbin

Author

Listed:
  • Phil Ender

    (UCLA)

Abstract

When I was in graduate school I was taught that multivariate methods were the future of data analysis. In that dark computer stone age multivariate meant multivariate analysis of variance (MANOVA), linear discriminant function analysis (LDA), canonical correlation analysis (CA) and factor analysis (which will not be discussed in this presentation). Â Statistical software has evolved considerably since those ancient days. Â MANOVA, LDA and CA are still around but have been eclipsed and pushed aside by newer, sexier methodologies. These three methods have been consigned to the multivariate dustbin, so to speak. Â This presentation will review MANOVA, LDA and CA, discuss the connections among the three approaches and highlight the positives and negatives or each approach.

Suggested Citation

  • Phil Ender, 2017. "The Multivariate Dustbin," 2017 Stata Conference 1, Stata Users Group.
    • Handle: RePEc:boc:scon17:1
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/scon2017/Baltimore17_Ender.pdf
    Download Restriction: no
    ---><---

    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:boc:scon17:1. 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: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/stataea.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.