In full factorial screens, all elements of the matrix of parameters are sampled
Incomplete factorial screening is a method of sampling parameter
space evenly and efficiently.
Factor levels are chosen randomly and then balanced to acheive uniform sampling.
All two-factor interactions are sampled as uniformly as possible.
Purely random sampling of all parameters, but it approximates incomplete
Sparse Matrix screens involve an intentional bias towards combinations of conditions that have worked previously.
© 1999-2005 Airlie J McCoy, University of Cambridge. All rights reserved.
Last updated: 7 June, 2005