Significance Tests for Saturated Orthogonal Arrays

Article

Berk, Kenneth; Picard, Richard   (1991, ASQC)   Illinois State University

Journal of Quality Technology    Vol. 23    No. 2
QICID: 11318    April 1991    pp. 79-89
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Article Abstract

Experimental designs used in industry often allow no degrees of freedom for the estimation of error. Nevertheless, analysis of variance results can (if used properly) be used to determine which factors are significant. We give a back-of-the-envelope calculation for making this determination, intended forpractitioners desiring a convenient, ANOVA-based analysis. Power comparisons show that competing methods, regardless of computational complexity, have remarkably similar operating characteristics.

Keywords

Data collection,Fractional factorials,Taguchi, Genichi,Pooled data,Graphical methods


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