Model-Dependent Variance Inflation Factor Cutoff Values

When creating designed experiments, it is not always possible to run the experiment at the exact settings required to maintain orthogonal effects. However, this is not measurement error when precise measurements of the settings can be made once the experiment begins. A comparison is made for a 15-ru...

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Bibliographic Details
Published in:Quality engineering 2002-03, Vol.14 (3), p.391-403
Main Authors: Craney, Trevor A., Surles, James G.
Format: Article
Language:English
Subjects:
Box-Behnken
Collinearity
Experimental design
Orthogonal effects
Variable noise
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Summary:When creating designed experiments, it is not always possible to run the experiment at the exact settings required to maintain orthogonal effects. However, this is not measurement error when precise measurements of the settings can be made once the experiment begins. A comparison is made for a 15-run Box-Behnken design using both the intended design settings and the actual design settings. Variance inflation factors are used to measure the induced collinearity in the effects. Two cutoff values are suggested for use to determine when an effect's variance inflation factor is too large to keep that effect in the model.
ISSN:0898-2112
1532-4222
DOI:10.1081/QEN-120001878