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Identification of factors influencing dispersion in split-plot experiments

Author

Listed:
  • M. Arvidsson
  • P. Kammerlind
  • A. Hynen
  • B. Bergman

Abstract

As split-plot designs are commonly used in robust design it is important to identify factors in these designs that influence the dispersion of the response variable. In this article, the Bergman-Hynen method, developed for identification of dispersion effects in unreplicated experiments, is modified to be used in the context of split-plot experiments. The modification of the Bergman-Hynen method enables identification of factors that influence specific variance components in unreplicated two-level fractional factorial splitplot experiments. An industrial example is used to illustrate the proposed method.

Suggested Citation

  • M. Arvidsson & P. Kammerlind & A. Hynen & B. Bergman, 2001. "Identification of factors influencing dispersion in split-plot experiments," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(3-4), pages 269-283.
    • Handle: RePEc:taf:japsta:v:28:y:2001:i:3-4:p:269-283
    DOI: 10.1080/02664760120034027
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    References listed on IDEAS

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    1. Eric Schoen, 1999. "Designing fractional two-level experiments with nested error structures," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(4), pages 495-508.
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