IDEAS home Printed from https://ideas.repec.org/a/bes/amstat/v57y2003maugustp161-165.html
   My bibliography  Save this article

Adjusted Coefficients of Determination for Logistic Regression

Author

Listed:
  • Liao J.G.
  • McGee D.

Abstract

No abstract is available for this item.

Suggested Citation

  • Liao J.G. & McGee D., 2003. "Adjusted Coefficients of Determination for Logistic Regression," The American Statistician, American Statistical Association, vol. 57, pages 161-165, August.
  • Handle: RePEc:bes:amstat:v:57:y:2003:m:august:p:161-165
    as

    Download full text from publisher

    File URL: http://www.ingentaconnect.com/content/asa/tas/2003/00000057/00000003/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. György Inzelt & Zsuzsa Szentes-Markhot & Gábor Budai, 2018. "Monitoring of Banks’ Risks Related to the Funding of Financial Enterprises," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 17(4), pages 112-139.
    2. Cheng, C.-L. & Shalabh, & Garg, G., 2016. "Goodness of fit in restricted measurement error models," Journal of Multivariate Analysis, Elsevier, vol. 145(C), pages 101-116.
    3. Osei, Francis, 2022. "The effect of corporate governance elements on employee performance: evident form ghanaian banking industry," Technium Business and Management, Technium Science, vol. 2(3), pages 6-22.
    4. J. G. Liao & Joseph E. Cavanaugh & Timothy L. McMurry, 2018. "Extending AIC to best subset regression," Computational Statistics, Springer, vol. 33(2), pages 787-806, June.
    5. Cheng, C.-L. & Shalabh, & Garg, G., 2014. "Coefficient of determination for multiple measurement error models," Journal of Multivariate Analysis, Elsevier, vol. 126(C), pages 137-152.
    6. Ángeles Longarela-Ares & Anxo Calvo-Silvosa & José-Benito Pérez-López, 2020. "The Influence of Economic Barriers and Drivers on Energy Efficiency Investments in Maritime Shipping, from the Perspective of the Principal-Agent Problem," Sustainability, MDPI, vol. 12(19), pages 1-42, September.
    7. Razia Azen & Nicole Traxel, 2009. "Using Dominance Analysis to Determine Predictor Importance in Logistic Regression," Journal of Educational and Behavioral Statistics, , vol. 34(3), pages 319-347, September.

    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:amstat:v:57:y:2003:m:august:p:161-165. 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/tas/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.