IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v80y2010i11-12p926-931.html
   My bibliography  Save this article

Two-level fractional factorial designs in blocks of size two for the orthogonal estimation of all main effects and two-factor interactions

Author

Listed:
  • Jacroux, Mike

Abstract

In this paper we consider the problem of constructing two-level fractional factorial designs in blocks of size two that allow for the orthogonal estimation of all main effects and two-factor interactions (after adjusting for blocks). This problem has been considered in the literature, e.g., see Yang and Draper (2003), Wang (2004) and Kerr (2006). In this paper we give two systematic methods for the construction of such designs. The first construction method gives in many situations designs requiring fewer runs than those designs previously given whereas the second method gives a systematic method for constructing designs analogous to those illustrated in Yang and Draper (2003) by example.

Suggested Citation

  • Jacroux, Mike, 2010. "Two-level fractional factorial designs in blocks of size two for the orthogonal estimation of all main effects and two-factor interactions," Statistics & Probability Letters, Elsevier, vol. 80(11-12), pages 926-931, June.
    • Handle: RePEc:eee:stapro:v:80:y:2010:i:11-12:p:926-931
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-7152(10)00042-8
    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. Godolphin, J.D., 2019. "Two-level factorial and fractional factorial replicates in blocks of size two," Computational Statistics & Data Analysis, Elsevier, vol. 133(C), pages 120-137.

    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:80:y:2010:i:11-12:p:926-931. 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.