Mostra el registre d'ítem simple

dc.contributor.authorFontdecaba Rigat, Sara
dc.contributor.authorGrima Cintas, Pedro
dc.contributor.authorTort-Martorell Llabrés, Xavier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.date.accessioned2015-04-14T10:18:26Z
dc.date.available2015-04-14T10:18:26Z
dc.date.created2015
dc.date.issued2015
dc.identifier.citationFontdecaba, S.; Grima, P.; Tort-martorell, J. Proposal of a single critical value for the lenth method. "Quality technology and quantitative management", 2015, vol. 12, núm. 1, p. 41-51.
dc.identifier.issn1684-3703
dc.identifier.urihttp://hdl.handle.net/2117/27306
dc.description.abstractDifferent critical values deduced by simulation have been proposed that greatly improve Lenth's original proposal. However, these simulations assume that all effects are zero - something not realistic - producing bigger than desired critical values and thus significance levels lower that intended. This article, in accordance with Box [2] well known idea that Experimental Design should be about learning and not about testing and based on studying how the presence of a realistic number and size of active effects affects critical values, proposes to use t = 2 for any number of runs equal or greater than 8. And it shows that this solution, in addition of being simpler, provides under reasonable realistic situations better results than those obtained by simulation.
dc.format.extent11 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject.otherIndustrial experimentation
dc.subject.otherLenth method
dc.subject.otherPseudo standard error
dc.subject.otherSignificant effects
dc.subject.otherUnreplicated factorial designs
dc.titleProposal of a single critical value for the lenth method
dc.typeArticle
dc.subject.lemacInvestigació operativa
dc.subject.lemacEnginyeria -- Disseny
dc.contributor.groupUniversitat Politècnica de Catalunya. ADBD - Anàlisi de Dades Complexes per a les Decisions Empresarials
dc.description.peerreviewedPeer Reviewed
dc.subject.amsOperations research.
dc.subject.amsEngineering design
dc.relation.publisherversionhttp://web.it.nctu.edu.tw/~qtqm/upcomingpapers/2015V12N1/2015V12N1_F5.pdf
dc.rights.accessOpen Access
local.identifier.drac15505169
dc.description.versionPostprint (published version)
local.citation.authorFontdecaba, S.; Grima, P.; Tort-martorell, J.
local.citation.publicationNameQuality technology and quantitative management
local.citation.volume12
local.citation.number1
local.citation.startingPage41
local.citation.endingPage51


Fitxers d'aquest items

Thumbnail

Aquest ítem apareix a les col·leccions següents

Mostra el registre d'ítem simple