Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7561858 | Chemometrics and Intelligent Laboratory Systems | 2018 | 21 Pages |
Abstract
Most factors in chemical science and engineering are quantitative. Therefore, chemists and engineers are more familiar with the notion that factors should necessarily have three levels. Ref. [5] introduced a new class of 3-level screening designs which allows the assessment of curvature of the factor-response relationship. They called these designs definitive screening designs (DSDs). These DSDs are (i) saturated for estimating the intercept, the m main effects and the m quadratic effects; (ii) unlike resolution III designs, all main effects are orthogonal to 2-factor interactions; (iii) unlike resolution IV designs, 2-factor interactions are not fully aliased with one another; and (iv) unlike resolution III and IV designs, the quadratic effects can be estimated and are orthogonal to main effects and not fully aliased with 2-factor interactions; (v) when the design is sufficiently large, it allows efficient estimation of the full quadratic model in any three factors. This paper introduces a new class of DSD-like designs generated by cyclic generators. This new class can be used to study the presence of the second-order effects more efficiently.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Nam-Ky Nguyen, Tung-Dinh Pham, Mai Phuong Vuong,