Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1150012 | Journal of Statistical Planning and Inference | 2008 | 6 Pages |
Abstract
A supersaturated design is essentially a fractional factorial design whose number of experimental variables is greater than or equal to its number of experimental runs. Under the effect sparsity assumption, a supersaturated design can be very cost-effective. In this paper, our prime objective is to compare the existing two-level supersaturated designs for the noisy case through the probability of correct searching—a powerful criterion proposed by Shirakura et al. [1996. Searching probabilities for nonzeroeffects in search designs for the noisy case. Ann. Statist. 24, 2560–2568]. An algorithm is proposed to construct supersaturated designs with high probability of correct searching. Examples are given for illustration.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Kashinath Chatterjee, Angshuman Sarkar, Dennis K.J. Lin,