IDEAS home Printed from https://ideas.repec.org/a/jss/jstsof/v006i02.html
   My bibliography  Save this article

SUBSET: Best Subsets using Information Criteria

Author

Listed:
  • Dayton, C. Mitchell

Abstract

SUBSET, written in the matrix language Gauss, is a program that identifies optimal subsets of means or proportions based on independent groups. All possible configurations of ordered subsets of groups are identified and the best model is selected using either the AIC or BIC information criterion. For means, both homogeneous and heterogeneous variance cases are considered. SUBSET offers an alternative approach to traditional post-hoc multiple-comparison procedures such as the Tukey test for pairwise comparisons. Major advantages of SUBSET over traditional pairwise comparison procedures include the fact that intransitive decisions are avoided and that issues related to type I error control, sample size and heterogeneity of variance do not arise.

Suggested Citation

  • Dayton, C. Mitchell, 2001. "SUBSET: Best Subsets using Information Criteria," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 6(i02).
    • Handle: RePEc:jss:jstsof:v:006:i02
    DOI: http://hdl.handle.net/10.18637/jss.v006.i02
    as

    Download full text from publisher

    File URL: https://www.jstatsoft.org/index.php/jss/article/view/v006i02/SUBSET.pdf
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v006i02/Code.rtf
    Download Restriction: no
    File URL: https://libkey.io/http://hdl.handle.net/10.18637/jss.v006.i02?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:jss:jstsof:v:006:i02. 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: http://www.jstatsoft.org/ .

    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.