Sensitivity of Design Optimality Criteria to Second-order Response SurfaceModel Restrictions and Center Point Replications
Abstract In this work, we investigate the role of several model characteristics and center point replications on the properties of A-, D-, G-, and IV- optimality for four –factor second-order response surface design. It was discovered that A-, D-, and G- efficiencies tend to reduce as the center points are replicated while the effect on scaled average prediction variance tends to be very insignificant. Among the restricted models considered, the pure linear model (model1) turns out to be the best in terms of quality of estimation and model prediction.
Key words: Design optimality criteria; Center point replications; Response surface methodology
- There are currently no refbacks.
If you have already registered in Journal A and plan to submit article(s) to Journal B, please click the CATEGORIES, or JOURNALS A-Z on the right side of the "HOME".
We only use three mailboxes as follows to deal with issues about paper acceptance, payment and submission of electronic versions of our journals to databases:
firstname.lastname@example.org; email@example.com; firstname.lastname@example.org
Copyright © 2010 Canadian Research & Development Centre of Sciences and Cultures
Address: 758, 77e AV, Laval, Quebec, H7V 4A8, Canada
Telephone: 1-514-558 6138