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Elementary Statistics
Authors:Thomas E. Obremski
Affiliation:University of Denver
Abstract:Fractional two-level factorial designs are often used in the early stages of an investigation to screen for important factors. Traditionally, 2 n-k fractional factorial designs of resolution III, IV, or V have been used for this purpose. When the investigator is able to specify the set of nonnegligible factorial effects, it is sometimes possible to obtain an orthogonal design with fewer runs than a standard textbook design by searching within a wider class of designs called parallel-flats designs. The run sizes in this class of designs do not necessarily need to be powers of 2. We discuss an algorithm for constructing orthogonal parallel-flats designs to meet user specifications. Several examples illustrate the use of the algorithm.
Keywords:Fractional factorial designs  Linear graphs  Parallel-flats designs  Screening experiments  Single-flat designs
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