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Pseudofactors: Normal Use to Improve Design and Facilitate Analysis

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  • H. Monod
  • R. A. Bailey

Abstract

Pseudofactors are an inherently simple device to aid the construction and analysis of designed experiments. Although they were introduced over 50 years ago, they still puzzle many statisticians. After a historical introduction a worked example is used to demonstrate how pseudofactors are used to construct the design, to obtain the analysis‐of‐variance table and table of means and to calculate standard errors of contrasts. Then the algebraic and algorithmic roles of pseudofactors are explained and reviewed, with particular emphasis on Genstat. Finally, a section on standard designs shows how pseudofactors may be used to construct more efficient designs, and to give simpler or better analyses, than those recommended in the current literature.

Suggested Citation

  • H. Monod & R. A. Bailey, 1992. "Pseudofactors: Normal Use to Improve Design and Facilitate Analysis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 41(2), pages 317-336, June.
    • Handle: RePEc:bla:jorssc:v:41:y:1992:i:2:p:317-336
    DOI: 10.2307/2347564
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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.

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