IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v52y2001i4p401-411.html
   My bibliography  Save this article

Some classes of orthogonal 2n1x3n2 mixed factorial designs of median-resolution

Author

Listed:
  • Liao, C. T.

Abstract

In a 2n1x3n2 mixed factorial experiment, we consider the orthogonal designs of median-resolution which can be used to estimate the grand mean, all main effects and certain classes of low-order interactions involving at least one of few specified factors, assuming that the other effects are negligible. Some classes of the desired designs constructed from the class of parallel-flats designs are proposed in this paper.

Suggested Citation

  • Liao, C. T., 2001. "Some classes of orthogonal 2n1x3n2 mixed factorial designs of median-resolution," Statistics & Probability Letters, Elsevier, vol. 52(4), pages 401-411, May.
    • Handle: RePEc:eee:stapro:v:52:y:2001:i:4:p:401-411
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-7152(01)00007-4
    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.

    References listed on IDEAS

    as
    1. Liao, C. T., 2000. "Orthogonal parallel-flats designs for hierarchical models," Statistics & Probability Letters, Elsevier, vol. 46(4), pages 329-335, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:52:y:2001:i:4:p:401-411. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.