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dc.contributor.authorLied, Thorbjørn Tønnesennb_NO
dc.date.accessioned2014-12-19T13:10:49Z
dc.date.available2014-12-19T13:10:49Z
dc.date.created2001-02-09nb_NO
dc.date.issued2001nb_NO
dc.identifier125272nb_NO
dc.identifier.isbn82-7984-126-1nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/244492
dc.description.abstractIn large and important sectors of modern production, there is an increased demand for on-line or at-line information. Both consumers and governmental regulations require that producers can document the quality of their products. The more precise measurements can be, the more potentially valuable they are for the producers in their endeavours to fulfil these demands.nb_NO
dc.languageengnb_NO
dc.publisherFakultet for naturvitenskap og teknologinb_NO
dc.relation.ispartofseriesDr. ingeniøravhandling, 0809-103X; 2000:99nb_NO
dc.relation.haspartLied, Thorbjørn T.; Geladi, Paul; Esbensen, Kim H.. Multivariate Image Regression (MIR) implementation of image PLSR - first forays. Journal of Chemometrics. 14: 585-598, 2000.nb_NO
dc.relation.haspartLied, Thorbjørn T.; Esbensen, Kim H.. Principles of MIR, Multivariate Image Regression I: regression typology and represenative application studies. Chemometrics and Intelligent Laboratory Systems. 58(2): 213-226, 2001.nb_NO
dc.titleMultivariate Image Regression (MIR) for Quantitative Predictions. Prototype Software Implementation and Selected Industrial-Technological Pilot Studiesnb_NO
dc.typeDoctoral thesisnb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for naturvitenskap og teknologinb_NO
dc.description.degreedr.ing.nb_NO
dc.description.degreedr.ing.en_GB


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