| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1154240 | Statistics & Probability Letters | 2009 | 7 Pages |
Abstract
A criterion for comparing two competitive designs is proposed for symmetric factorial experiment based on the probability of correct identification of active factors. An algorithm for constructing multi-level supersaturated designs which maximize the probability of correct model identification is presented.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Angshuman Sarkar, Dennis K.J. Lin, Kashinath Chatterjee,