IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-1-4614-8775-3_4.html

Common Statistical Models

In: Statistical Modeling and Computation

Author

Listed:
  • Dirk P. Kroese

    (The University of Queensland, School of Mathematics and Physics)

  • Joshua C. C. Chan

    (Australian National University, Department of Economics)

Abstract

The conceptual framework for statistical modeling and analysis is sketched in Fig. 4.1. The starting point is some real-life problem (reality) and a corresponding set of data. On the basis of the data we wish to say something about the real-life problem. The second step consists of finding a probabilistic model for the data. This model contains what we know about the reality and how the data were obtained. Within the model we carry out our calculations and analysis. This leads to conclusions about the model. Finally, the conclusions about the model are translated into conclusions about the reality.

Suggested Citation

  • Dirk P. Kroese & Joshua C. C. Chan, 2014. "Common Statistical Models," Springer Books, in: Statistical Modeling and Computation, edition 127, chapter 0, pages 101-120, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4614-8775-3_4
    DOI: 10.1007/978-1-4614-8775-3_4
    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
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:sprchp:978-1-4614-8775-3_4. 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.