IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v27y1978i3p335-343.html
   My bibliography  Save this article

Design Keys for Factorial Experiments

Author

Listed:
  • H. D. Patterson
  • R. A. Bailey

Abstract

This paper describes the use of design keys in (a) identifying treatment effects with particular plot contrasts in factorial experiments and (b) constructing the designs. The method covers a wide variety of block structures. It is available for both symmetrical and asymmetrical designs.

Suggested Citation

  • H. D. Patterson & R. A. Bailey, 1978. "Design Keys for Factorial Experiments," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 27(3), pages 335-343, November.
    • Handle: RePEc:bla:jorssc:v:27:y:1978:i:3:p:335-343
    DOI: 10.2307/2347170
    as

    Download full text from publisher

    File URL: https://doi.org/10.2307/2347170
    Download Restriction: no
    File URL: https://libkey.io/10.2307/2347170?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
    ---><---

    Citations

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


    Cited by:

    1. L. Rob Verdooren, 2020. "History of the Statistical Design of Agricultural Experiments," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 25(4), pages 457-486, December.
    2. Payne, Roger W., 1998. "Design keys, pseudo-factors and general balance," Computational Statistics & Data Analysis, Elsevier, vol. 29(2), pages 217-229, December.
    3. Kobilinsky, André & Monod, Hervé & Bailey, R.A., 2017. "Automatic generation of generalised regular factorial designs," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 311-329.
    4. J. D. Godolphin, 2019. "Construction of row–column factorial designs," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 81(2), pages 335-360, April.

    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:bla:jorssc:v:27:y:1978:i:3:p:335-343. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .

    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.