IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v25y1995i1p37-42.html
   My bibliography  Save this article

Optimal weighing designs and some new weighing matrices

Author

Listed:
  • Koukouvinos, Christos

Abstract

In experimental situations where n three-level factors are involved and n observations are taken, we obtain orthogonal designs from weighing matrices. In factorial experiments the use of orthogonal designs contributes decisively to the reduction of variance which is considered to be a significant factor in the improvement of industrial products. Sequences with elements 0, 1, -1 and zero autocorrelation function can be used to construct weighing matrices. In this paper we discuss some constructions of weighing designs. We give some new {0,1, -1} sequences with zero autocorrelation function from which we construct some new weighing matrices.

Suggested Citation

  • Koukouvinos, Christos, 1995. "Optimal weighing designs and some new weighing matrices," Statistics & Probability Letters, Elsevier, vol. 25(1), pages 37-42, October.
    • Handle: RePEc:eee:stapro:v:25:y:1995:i:1:p:37-42
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0167-7152(94)00203-K
    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. Jacroux, Mike, 2008. "A note on the construction of optimal main effects plans in blocks of size two," Statistics & Probability Letters, Elsevier, vol. 78(15), pages 2366-2370, October.

    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:25:y:1995:i:1:p:37-42. 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.