dc.contributor.author | Grima Cintas, Pedro |
dc.contributor.author | Rodero de Lamo, Lourdes |
dc.contributor.author | Tort-Martorell Llabrés, Xavier |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa |
dc.date.accessioned | 2022-04-06T07:57:05Z |
dc.date.available | 2022-07-02T00:26:32Z |
dc.date.issued | 2021-07-01 |
dc.identifier.citation | Grima, P.; Rodero, L.; Tort-Martorell, F. Considering the risk of ignoring active factors in industrial experiments. "Quality engineering", 1 Juliol 2021, vol. 33, núm. 3, p. 552-557. |
dc.identifier.issn | 1532-4222 |
dc.identifier.uri | http://hdl.handle.net/2117/365397 |
dc.description.abstract | This article draws attention to the importance of considering type II error in Design of Experiments contexts and shows, through two examples, an easy way to do that. |
dc.format.extent | 6 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi matemàtica |
dc.subject.lcsh | Experimental design |
dc.title | Considering the risk of ignoring active factors in industrial experiments |
dc.type | Article |
dc.subject.lemac | Disseny d'experiments |
dc.contributor.group | Universitat Politècnica de Catalunya. ADBD - Anàlisi de Dades Complexes per a les Decisions Empresarials |
dc.identifier.doi | 10.1080/08982112.2021.1923032 |
dc.description.peerreviewed | Peer Reviewed |
dc.subject.ams | Classificació AMS::62 Statistics::62K Design of experiments |
dc.relation.publisherversion | https://www.tandfonline.com/doi/abs/10.1080/08982112.2021.1923032 |
dc.rights.access | Open Access |
local.identifier.drac | 32024297 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Grima, P.; Rodero, L.; Tort-Martorell, F. |
local.citation.publicationName | Quality Engineering |
local.citation.volume | 33 |
local.citation.number | 3 |
local.citation.startingPage | 552 |
local.citation.endingPage | 557 |