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dc.contributor.authorXampeny Solani, Rafael
dc.contributor.authorGrima Cintas, Pedro
dc.contributor.authorTort-Martorell Llabrés, Xavier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.identifier.citationXampeny, R., Grima, P., Tort-Martorell, J. Consequences of using estimated response values from negligible interactions in factorial designs. "Quality and reliability engineering international", 21 Desembre 2018, vol. 35, núm. 4, p.934-945
dc.description.abstractThis article analyzes the increase in the probability of committing type I and type II errors in assessing the significance of the effects when some properly selected runs have not been carried out and their responses have been estimated from the interactions considered null from scratch. This is done by simulating the responses from known models that represent a wide variety of practical situations that the experimenter will encounter; the responses considered to be missing are then estimated and the significance of the effects is assessed. Through comparison with the parameters of the model, the errors are then identified. To assess the significance of the effects when there are missing values, the Box-Meyer method has been used. The conclusions are that 1 missing value in 8 run designs and up to 3 missing values in 16 run designs experiments can be estimated without hardly any notable increase in the probability of error when assessing the significance of the effects.
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject.lcshMissing observations (Statistics)
dc.subject.otherFactorial design
dc.subject.otherMissing values
dc.subject.otherNegligible interactions
dc.subject.otherLenth method
dc.subject.otherSignificant effects.
dc.titleConsequences of using estimated response values from negligible interactions in factorial designs
dc.subject.lemacDades no observades (Estadística)
dc.contributor.groupUniversitat Politècnica de Catalunya. ADBD - Anàlisi de Dades Complexes per a les Decisions Empresarials
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (author's final draft)
local.citation.authorXampeny, R.; Grima, P.; Tort-Martorell, J.
local.citation.publicationNameQuality and reliability engineering international

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