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comparison of mixture experiments models

dc.contributor.authorOloyede, Isiaka
dc.date.accessioned2019-10-18T14:22:17Z
dc.date.available2019-10-18T14:22:17Z
dc.date.issued2018
dc.descriptionthe study contributes to the field of experimental design specifically those that relate to industry.en_US
dc.description.abstractThe study investigates various mixture experiment model and proposed a new polynomial model which is a modified special cubic model. The models were examined via bootstrap resampling scheme and select model based on bias , aic, bic and standard error criteria. The study observed that the modified model was the second best model.en_US
dc.description.sponsorshipselfen_US
dc.identifier.urihttp://hdl.handle.net/123456789/2820
dc.language.isoenen_US
dc.publisherJournal of Information , education , science and technology, federal university of technology, minna.en_US
dc.relation.ispartofseries;4
dc.subjectcubic model,en_US
dc.subjectbootstrapen_US
dc.subjectmixture experimenten_US
dc.titlecomparison of mixture experiments modelsen_US
dc.typeArticleen_US

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