Robust two-level regular fractional factorial designs

In this paper, we introduce the concept of model quality for two-level regular fractional factorial designs. Under the effect hierarchy principle, this paper raises the definition of model quality and introduces robust model-number pattern (RP) to choose the optimal robust design. Some theoretical r...

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Bibliographic Details
Published in:Communications in statistics. Theory and methods 2019-10, Vol.48 (19), p.4794-4803
Main Authors: Chen, Chao, Zhang, Run-Chu
Format: Article
Language:English
Subjects:
effect hierarchy principle
GMC criterion
MEC criterion
Model quality
Optimization
Robust design
Robustness
Citations: Items that this one cites
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Summary:In this paper, we introduce the concept of model quality for two-level regular fractional factorial designs. Under the effect hierarchy principle, this paper raises the definition of model quality and introduces robust model-number pattern (RP) to choose the optimal robust design. Some theoretical results on this optimality and comparisons with GMC and MEC criterion are given.
ISSN:0361-0926
1532-415X
DOI:10.1080/03610926.2018.1490431