Identification of factors influencing dispersion in split-plot experiments

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-Hynén method, developed for identification of dispersion effects in unreplicated experiments, is modified...

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Bibliographic Details
Published inJournal of applied statistics Vol. 28; no. 3-4; pp. 269 - 283
Main Authors Arvidsson, M., Kammerlind, P., Hynén, A., Bergman, B.
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis Group 01.03.2001
Taylor and Francis Journals
Taylor & Francis Ltd
SeriesJournal of Applied Statistics
Subjects
Design
Experiments
Statistical analysis
TECHNOLOGY
TEKNIKVETENSKAP
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Summary: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-Hynén 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-Hynén 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.
ISSN:0266-4763
1360-0532
1360-0532
DOI:10.1080/02664760120034027