Combined arrays with minimum number of runs and maximum estimation efficiency

Evangelaras, H; Koukouvinos, C

dc.contributor.author	Evangelaras, H	en
dc.contributor.author	Koukouvinos, C	en
dc.date.accessioned	2014-03-01T01:20:00Z
dc.date.available	2014-03-01T01:20:00Z
dc.date.issued	2004	en
dc.identifier.issn	0361-0926	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15806
dc.subject	Combined array	en
dc.subject	Control and noise factors	en
dc.subject	D-Optimal designs	en
dc.subject	Estimable effects	en
dc.subject	Gröbner bases	en
dc.subject	Robust parameter design	en
dc.subject.classification	Statistics & Probability	en
dc.subject.other	Aberrations	en
dc.subject.other	Atmospheric humidity	en
dc.subject.other	Computational methods	en
dc.subject.other	Quality control	en
dc.subject.other	Robustness (control systems)	en
dc.subject.other	Spurious signal noise	en
dc.subject.other	Combined array	en
dc.subject.other	Control and noise factors	en
dc.subject.other	D-Optimal designs	en
dc.subject.other	Estimable effects	en
dc.subject.other	Gröbner bases	en
dc.subject.other	Robust parameter design	en
dc.subject.other	Number theory	en
dc.title	Combined arrays with minimum number of runs and maximum estimation efficiency	en
heal.type	journalArticle	en
heal.identifier.primary	10.1081/STA-120037264	en
heal.identifier.secondary	http://dx.doi.org/10.1081/STA-120037264	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	Robust parameter design, originally proposed by Taguchi [Taguchi, G. (1987). System of Experimental Design. Vol. I and II. New York: UNIPUB], is an off-line production technique for reducing variation and improving product's quality by using the product arrays. However, the use of the product arrays results in an exorbitant number of runs. To overcome the drawbacks of the product array several scientists proposed the use of combined arrays, where the control and noise factors are combined in a single array.	en
heal.publisher	MARCEL DEKKER INC	en
heal.journalName	Communications in Statistics - Theory and Methods	en
dc.identifier.doi	10.1081/STA-120037264	en
dc.identifier.isi	ISI:000222166800012	en
dc.identifier.volume	33	en
dc.identifier.issue	7	en
dc.identifier.spage	1621	en
dc.identifier.epage	1628	en