IDEAS home Printed from https://ideas.repec.org/h/pal/palchp/978-1-137-03169-3_5.html
   My bibliography  Save this book chapter

Understanding Relationships in Data

In: Credit Scoring, Response Modeling, and Insurance Rating

Author

Listed:
  • Steven Finlay

Abstract

Once data has been gathered and prepared there should be a single, clean and well formatted data set. The data set should contain all predictor variables that are going to be considered for inclusion within the model, as well as the dependent variable (the modeling objective). Predictor variables that were suggested during the project planning phase, but which have subsequently been shown to contain meaningless or incorrect data for the majority of observations, should also have been excluded. For individual observations where data is missing or spurious, then a suitable imputation process should have been applied to infer what the true value is likely to have been, or a default value assigned to represent them.

Suggested Citation

  • Steven Finlay, 2012. "Understanding Relationships in Data," Palgrave Macmillan Books, in: Credit Scoring, Response Modeling, and Insurance Rating, edition 0, chapter 5, pages 114-143, Palgrave Macmillan.
    • Handle: RePEc:pal:palchp:978-1-137-03169-3_5
    DOI: 10.1057/9781137031693_5
    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.

    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:pal:palchp:978-1-137-03169-3_5. 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.palgrave.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.