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Publisert 2000

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Publikasjonsdetaljer

Tidsskrift : Journal of Near Infrared Spectroscopy , vol. 8 , p. 117–124 , 2000

Internasjonale standardnummer :
Trykt : 0967-0335
Elektronisk : 1751-6552

Publikasjonstype : Vitenskapelig artikkel

Bidragsytere : Westad, Frank Ove; Martens, Harald

Sak : 2

Har du spørsmål om noe vedrørende publikasjonen, kan du kontakte Nofimas bibliotekleder.

Kjetil Aune
Bibliotekleder
kjetil.aune@nofima.no

Sammendrag

A jack-knife based method for variable selection in partial least squares regression is presented. The method is based on significance tests of model parameters, in this paper applied to regression coefficients. The method is tested on a near infrared (NIR) spectral data set recorded on beer samples, correlated to extract concentration and compared to other methods with known merit. The results show that the jack-knife based variable selection performs as well or better than other variable selection methods do. Furthermore, results show that the method is robust towards various cross-validation schemes (the number of segments and how they are chosen).