A measure of orthogonality for the central composite designs
Emmanuel Uchenna Ohaegbulem and
Polycarp Emeka Chigbu
Communications in Statistics - Theory and Methods, 2022, vol. 51, issue 9, 2710-2724
Abstract:
A measure that quantifies the percent orthogonality of the central composite designs is proposed. This measure, which is expressible as a percentage, takes the value 100 if the design is orthogonal, and values less than 100 for less or reduced orthogonality. The measure is shown to be much more consistent and appropriate for assessing the percent orthogonality of the central composite designs than already-existing measures. The measure is also illustrated for the hybrid designs.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2021.1982984 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:51:y:2022:i:9:p:2710-2724
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2021.1982984
Access Statistics for this article
Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe
More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().