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dc.contributor.authorNæs, Tormod
dc.contributor.authorTomic, Oliver
dc.contributor.authorGreiff, Kirsti
dc.contributor.authorThyholt, Kari
dc.date.accessioned2018-02-15T06:48:27Z
dc.date.available2018-02-15T06:48:27Z
dc.date.created2013-12-12T09:34:31Z
dc.date.issued2014
dc.identifier.citationFood Quality and Preference. 2014, 33 64-73.
dc.identifier.issn0950-3293
dc.identifier.urihttp://hdl.handle.net/11250/2484858
dc.description.abstractThis paper presents a comparison of different methods for analyzing designed experiments. The methods used are based on PCA, PLS and ANOVA, used either separately or in combination. Special emphasis will be on how to obtain information about medium and less important factors in the presence of very dominating ones. It will be shown that this could be done by splitting the dataset in two. Our propositions will be illustrated on a data set obtained for studying the effect of salt reduction in liver paste.
dc.language.isoeng
dc.titleA comparison of methods for analyzing multivariate sensory data in designed experiments - A case study of salt reduction in liver paste
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionsubmittedVersion
dc.source.pagenumber64-73
dc.source.volume33
dc.source.journalFood Quality and Preference
dc.identifier.doi10.1016/j.foodqual.2013.11.002
dc.identifier.cristin1075711
dc.relation.projectEgen institusjon: 201308
dc.relation.projectNorges forskningsråd: 205062
dc.relation.projectEgen institusjon: 4248
dc.relation.projectNorges forskningsråd: 225096
dc.relation.projectNorges forskningsråd: 210431
dc.relation.projectEgen institusjon: 201302
cristin.unitcode7543,3,2,0
cristin.unitcode7543,3,3,0
cristin.unitnameRåvare og prosess
cristin.unitnameSensorikk, forbruker og innovasjon
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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