Fries, Arthur; Hunter, William G. (1980, ASQC and the American Statistical Association) University of Wisconsin-Madison, Madison, WI
For studying k variables in N runs, all 2k-p designs of maximum resolution are not equally good. In this paper the concept of aberration is proposed as a way of selecting the best designs from those with maximum resolution. Algorithms are presented for constructing these minimum aberration designs.
Fractional factorial design,Resolution,Confounding,Aberration