Screening designs are useful for situations where a large number of factors (q) is examined but only few (k) of these are expected to be important. It is of practical interest for a given k to know all the inequivalent projections of the design into the k dimensions. In this paper we give all...

Screening designs are useful for situations where a large number of factors (q) is examined but only few (k) of these are expected to be important. It is of practical interest for a given k to know all the inequivalent projections of the design into the k dimensions. In this paper we give all...

When experimentation is expensive and the number of factors is large, supersaturated designs can be useful. They are fractional factorial designs in which the number of factors is greater than the number of experimental runs. Recently, Yamada and Lin (Statist. Probab. Lett. 45 (1999) 31)...