Small, balanced, efficient and near rotatable central composite designs

Angelopoulos, P; Evangelaras, H; Koukouvinos, C

dc.contributor.author	Angelopoulos, P	en
dc.contributor.author	Evangelaras, H	en
dc.contributor.author	Koukouvinos, C	en
dc.date.accessioned	2014-03-01T01:31:56Z
dc.date.available	2014-03-01T01:31:56Z
dc.date.issued	2009	en
dc.identifier.issn	0378-3758	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19982
dc.subject	Central composite designs	en
dc.subject	D-value	en
dc.subject	Rotatability measures	en
dc.subject	Saturated design	en
dc.subject.classification	Statistics & Probability	en
dc.subject.other	RESPONSE-SURFACE DESIGNS	en
dc.subject.other	SECOND-ORDER DESIGNS	en
dc.subject.other	FRACTIONS	en
dc.title	Small, balanced, efficient and near rotatable central composite designs	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.jspi.2008.09.001	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.jspi.2008.09.001	en
heal.language	English	en
heal.publicationDate	2009	en
heal.abstract	Standard central composite designs for fitting second-order models usually have a large number of design points, especially when the number of factors under consideration is large. In this paper we propose small, balanced and near rotatable central composite designs reducing the design's size and maintaining the ability to estimate all the model parameters. We list the best designs we identified to accommodate 4 <= k <= 9 experimental factors. A detailed comparison between our findings and already known second-order designs has also been made. (c) 2008 Elsevier B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Journal of Statistical Planning and Inference	en
dc.identifier.doi	10.1016/j.jspi.2008.09.001	en
dc.identifier.isi	ISI:000264711600016	en
dc.identifier.volume	139	en
dc.identifier.issue	6	en
dc.identifier.spage	2010	en
dc.identifier.epage	2013	en