IDEAS home Printed from https://ideas.repec.org/a/bes/jnlasa/v98y2003p17-27.html
   My bibliography  Save this article

The Selection or Seeding of College Basketball or Football Teams for Postseason Competition

Author

Listed:
  • Harville D.A.

Abstract

No abstract is available for this item.

Suggested Citation

  • Harville D.A., 2003. "The Selection or Seeding of College Basketball or Football Teams for Postseason Competition," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 17-27, January.
    • Handle: RePEc:bes:jnlasa:v:98:y:2003:p:17-27
    as

    Download full text from publisher

    File URL: http://www.ingentaconnect.com/content/asa/jasa/2003/00000098/00000461/art00003
    File Function: full text
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Stekler Herman O. & Klein Andrew, 2012. "Predicting the Outcomes of NCAA Basketball Championship Games," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 8(1), pages 1-10, March.
    2. Coleman Jay & Lynch Allen K, 2009. "NCAA Tournament Games: The Real Nitty-Gritty," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(3), pages 1-27, July.
    3. repec:ebl:ecbull:v:12:y:2008:i:17:p:1-6 is not listed on IDEAS
    4. Manner Hans, 2016. "Modeling and forecasting the outcomes of NBA basketball games," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 12(1), pages 31-41, March.
    5. Leman Scotland C. & House Leanna & Szarka John & Nelson Hayley, 2014. "Life on the bubble: Who’s in and who’s out of March Madness?," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(3), pages 315-328, September.
    6. Fearnhead Paul & Taylor Benjamin Matthew, 2011. "On Estimating the Ability of NBA Players," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(3), pages 1-18, July.
    7. repec:ebl:ecbull:v:4:y:2007:i:34:p:1-7 is not listed on IDEAS
    8. B. Jay Coleman & J. Michael DuMond & Allen K. Lynch, 2010. "Evidence of bias in NCAA tournament selection and seeding," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 31(7), pages 431-452.
    9. Franceschet Massimo & Bozzo Enrico & Vidoni Paolo, 2017. "The temporalized Massey’s method," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 13(2), pages 37-48, June.
    10. Grimshaw Scott D. & Sabin R. Paul & Willes Keith M., 2013. "Analysis of the NCAA Men’s Final Four TV audience," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(2), pages 115-126, June.

    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:bes:jnlasa:v:98:y:2003:p:17-27. 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.amstat.org/publications/jasa/index.cfm?fuseaction=main .

    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.