IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v35y1997i2p109-114.html
   My bibliography  Save this article

Maximin efficient designs another view at D-optimality

Author

Listed:
  • Schwabe, Rainer

Abstract

The concept of maximin efficiency is shown to be equivalent to D-optimality in linear models if the set of interesting linear combinations is rich enough. This result is applied to obtain maximin efficient designs for nonlinear aspects and in case of heteroscedastic errors.

Suggested Citation

  • Schwabe, Rainer, 1997. "Maximin efficient designs another view at D-optimality," Statistics & Probability Letters, Elsevier, vol. 35(2), pages 109-114, September.
    • Handle: RePEc:eee:stapro:v:35:y:1997:i:2:p:109-114
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-7152(97)00003-5
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Maryna Prus, 2019. "Optimal designs for minimax-criteria in random coefficient regression models," Statistical Papers, Springer, vol. 60(2), pages 465-478, April.
    2. Pázman, Andrej & Pronzato, Luc, 2006. "On the irregular behavior of LS estimators for asymptotically singular designs," Statistics & Probability Letters, Elsevier, vol. 76(11), pages 1089-1096, June.
    3. Lorens Imhof & Weng Kee Wong, 2000. "A Graphical Method for Finding Maximin Efficiency Designs," Biometrics, The International Biometric Society, vol. 56(1), pages 113-117, March.

    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:eee:stapro:v:35:y:1997:i:2:p:109-114. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description .

    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.