Analysis of designed experiments with complex aliasing

Journal Article · Wed Jul 01 04:00:00 EDT 1992 · Journal of Quality Technology; (United States)

OSTI ID:6976814

Hamada, M; Wu, C F.J. ^[1]

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1. Waterloo, University (Canada)

Traditionally, Plackett-Burman (PB) designs have been used in screening experiments for identifying important main effects. The PB designs whose run sizes are not a power of two have been criticized for their complex aliasing patterns, which according to conventional wisdom gives confusing results. This paper goes beyond the traditional approach by proposing the analysis strategy that entertains interactions in addition to main effects. Based on the precepts of effect sparsity and effect heredity, the proposed procedure exploits the designs' complex aliasing patterns, thereby turning their 'liability' into an advantage. Demonstration of the procedure on three real experiments shows the potential for extracting important information available in the data that has, until now, been missed. Some limitations are discussed, and extentions to overcome them are given. The proposed procedure also applies to more general mixed level designs that have become increasingly popular. 16 refs.

• OSTI ID: 6976814
• Journal Information: Journal of Quality Technology; (United States), Journal Name: Journal of Quality Technology; (United States) Vol. 24:3; ISSN JQUTA; ISSN 0022-4065
• Country of Publication: United States
• Language: English

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