Biometrika · 1996 · 115 citations · 11 references
Public HealthDesignDesign TheoryExperimental DesignParametric DesignFactor AnalysisFactorial DesignsProjection GeometryMulti-level Factorial DesignsOrthogonal ArraysPlackett-burman DesignsScreening DesignsTwo-level Factorial Designs
A question of importance in factor screening is when a two-level orthogonal design for a multifactor experiment can be projected into lower dimension, typically P = 2 or 3. New results relate to the projectivity P of saturated designs in which n − 1 factors are tested in n runs. It is shown that: a design obtained by ‘doubling’ an n × n orthogonal array is always of projectivity P = 2; a two-level cyclic design is either a factorial array, and hence has P = 2, or it has P = 3; a two-level orthogonal design with 4m runs, m odd, has P = 3. In particular these results allow the designs derived by Plackett & Burman (1946) to be categorised in terms of these projective properties.
11
THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS
R. L. Plackett, J. P. Burman · Biometrika · 1946 · 3.8K citations
The 2 k-p Fractional Factorial Designs Part I
George E. P. Box, J. Stuart Hunter · Technometrics · 2000 · 416 citations