IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v48y2019i22p5559-5570.html
   My bibliography  Save this article

Construction of some compound criteria via A-optimality

Author

Listed:
  • W. A. Hassanein
  • M. M. Seyam

Abstract

This paper is devoted to attain multiple objects via proposing two compound optimality criteria constructed with A-optimality criterion. The offered compound criteria are ADP-optimality to seek about an optimal design for minimizing the average variance, having an efficient parameter estimates, likewise, maximizing the probability of a particular event and AKL-optimality that provides an identified balance between model discrimination and minimizing the average variance of the parameter estimates. The equivalence theorems are stated and proved. Finally, a numerical example is applied on probit GLMs to illustrate the results for both compound criteria.

Suggested Citation

  • W. A. Hassanein & M. M. Seyam, 2019. "Construction of some compound criteria via A-optimality," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 48(22), pages 5559-5570, November.
    • Handle: RePEc:taf:lstaxx:v:48:y:2019:i:22:p:5559-5570
    DOI: 10.1080/03610926.2018.1515364
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2018.1515364
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03610926.2018.1515364?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:lstaxx:v:48:y:2019:i:22:p:5559-5570. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/lsta .

    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.