A comparison of methods for analyzing multivariate sensory data in designed experiments - A case study of salt reduction in liver paste
Publikasjonsdetaljer
Tidsskrift : Food Quality and Preference , vol. 33 , p. 64–73 , 2014
Utgiver : Elsevier
Internasjonale standardnummer
:
Trykt
:
0950-3293
Elektronisk
:
1873-6343
Publikasjonstype : Vitenskapelig artikkel
Lenker
:
ARKIV
:
http://hdl.handle.net/11250/24...
DOI
:
doi.org/10.1016/j.foodqual.201...
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Kjetil Aune
Bibliotekleder
kjetil.aune@nofima.no
Sammendrag
This 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.