IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-3-031-21480-6_8.html
   My bibliography  Save this book chapter

Model Diagnostics

In: Applied Linear Regression for Business Analytics with R

Author

Listed:
  • Daniel P. McGibney

    (University of Miami)

Abstract

Knowing the correct mathematical model can be tremendously helpful when trying to make predictions. In many cases, however, a mathematical model that is relatively close to the true state may suffice. Yet this process brings its challenges. The quote from Mark Twain shown above alludes to the difficulty of attempting to find a mathematical model that is acceptable enough.

Suggested Citation

  • Daniel P. McGibney, 2023. "Model Diagnostics," International Series in Operations Research & Management Science, in: Applied Linear Regression for Business Analytics with R, chapter 0, pages 179-219, Springer.
    • Handle: RePEc:spr:isochp:978-3-031-21480-6_8
    DOI: 10.1007/978-3-031-21480-6_8
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:isochp:978-3-031-21480-6_8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.