IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v2y1975i1p99-105.html
   My bibliography  Save this article

Generalized Measures of Information, Bayes' Likelihood Ratio and Jaynes' Formalism

Author

Listed:
  • L March

    (Department of Systems Design, University of Waterloo, Ontario, N2L 3GI, Canada)

  • M Batty

    (Department of Civil Engineering, University of Waterloo, Ontario, N2L 3GI, Canada)

Abstract

This paper relates generalized measures of information to expected likelihood functions (ELFs) derived from Bayes' equation. It then demonstrates that Jaynes' formalism may be extended to formulate a class of minimally-prejudiced models of which those derived from Shannon's measure are but a limiting and special case. The rôle of probable inference and of information-minimizing models in design is commented on.

Suggested Citation

  • L March & M Batty, 1975. "Generalized Measures of Information, Bayes' Likelihood Ratio and Jaynes' Formalism," Environment and Planning B, , vol. 2(1), pages 99-105, June.
    • Handle: RePEc:sae:envirb:v:2:y:1975:i:1:p:99-105
    DOI: 10.1068/b020099
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/b020099
    Download Restriction: no
    File URL: https://libkey.io/10.1068/b020099?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:sae:envirb:v:2:y:1975:i:1:p:99-105. 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: SAGE Publications (email available below). General contact details of provider: .

    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.