On simplifying the calculations leading to designs with general minimum lower-order confounding

Motivated by the effect hierarchy principle, Zhang et al. (Stat Sinica 18:1689–1705, <CitationRef CitationID="CR17">2008</CitationRef>) introduced an aliased effect number pattern (AENP) for regular fractional factorial designs and based on the new pattern proposed a general minimum lower-order confounding (GMC) criterion for choosing optimal <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$2^{n-m}$$</EquationSource> </InlineEquation> designs. Zhang et al. (Stat Sinica 18:1689–1705, <CitationRef CitationID="CR17">2008</CitationRef>) proved that most existing criteria can be obtained by functions of the AENP. In this paper we propose a simple method for the calculation of AENP. The method is much easier than before since the calculation only makes use of the design matrix. All 128-run GMC designs with the number of factors ranging from 8 to 32 are provided for practical use. Copyright Springer-Verlag Berlin Heidelberg 2013