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Design Keys for Factorial Experiments

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  • 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
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    Cited by:

    1. 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.
    2. 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.
    3. Payne, Roger W., 1998. "Design keys, pseudo-factors and general balance," Computational Statistics & Data Analysis, Elsevier, vol. 29(2), pages 217-229, December.
    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.

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