A general equation and optimal design for a 2-factor restricted region
Economic, practical, or physical constraints sometimes prevent the factor space of a designed experiment from being a regular p-dimensional hypercube or hypersphere. Since standard designs may not be the best choice, it is desirable to be able to find best designs under these restrictions. This paper extends the work of Zahran et al. (J. Quality Tech. 35 (4)) using a more general equation to define the boundary of a modifying 22 factorial design and considers optimality criteria for the best of the designs.
Year of publication: |
2003
|
---|---|
Authors: | Zahran, Alyaa ; Anderson-Cook, C. M. |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 64.2003, 1, p. 9-16
|
Publisher: |
Elsevier |
Keywords: | Alphabetical optimality criteria Linear models Non-regular design space Non-linear constraints |
Saved in:
Saved in favorites
Similar items by person
-
An extension to modeling cylindrical variables
Anderson-Cook, C. M., (1997)
-
Modifying 22 Factorial Designs to Accommodate a Restrieted Design Space
Zahran, Alyaa, (2003)
-
Fraction of Design Space to Assess Prediction Capability of Response Surface Designs
Zahran, Alyaa, (2003)
- More ...