Results for Two-Level Designs with General Minimum Lower-Order Confounding
Joint Authors
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-16
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
The general minimum lower-order confounding (GMC) criterion for two-level design not only reveals the confounding information of factor effects but also provides a good way to select the optimal design, which was proposed by Zhang et al.
(2008).
The criterion is based on the aliased effect-number pattern (AENP).
Therefore, it is very important to study properties of AENP for two-level GMC design.
According to the ordering of elements in the AENP, the confounding information between lower-order factor effects is more important than that of higher-order effects.
For two-level GMC design, this paper mainly shows the interior principles to calculate the leading elements C1#2 and C2#2 in the AENP.
Further, their mathematical formulations are obtained for every GMC 2n-m design with N=2n-m according to two cases: (i) 5N/16+1≤n
American Psychological Association (APA)
Li, Zhiming& Zhang, Run Chu. 2015. Results for Two-Level Designs with General Minimum Lower-Order Confounding. The Scientific World Journal،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1078509
Modern Language Association (MLA)
Li, Zhiming& Zhang, Run Chu. Results for Two-Level Designs with General Minimum Lower-Order Confounding. The Scientific World Journal No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1078509
American Medical Association (AMA)
Li, Zhiming& Zhang, Run Chu. Results for Two-Level Designs with General Minimum Lower-Order Confounding. The Scientific World Journal. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1078509
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1078509