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Multivariate data analysis (MVDA) in landfill research
Luleå University of Technology.
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geovetenskap och miljöteknik.ORCID-id: 0000-0001-7158-4662
1998 (engelsk)Inngår i: The Journal of Solid Waste Technology and Management, ISSN 1088-1697, Vol. 25, nr 1, s. 33-39Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Multivariate data analysis (MVDA), a new statistical approach in terms of landfill research, was performed at the evaluation of data sets from three investigations. The interrelationships among variables as well as variation between observations could be examined. Causal relations between experimental factors and response variables have been identified using scatterpott interpretation. The ease of using MVDA at data evaluation is proved. MVDA techniques as follows were applied: principal component analysis (PCA), partial least squares modelling (PLS) and partial least squares discriminant analysis (PLS-DA).

sted, utgiver, år, opplag, sider
1998. Vol. 25, nr 1, s. 33-39
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URN: urn:nbn:se:ltu:diva-3274Lokal ID: 11537d50-4fc8-11dc-98a3-000ea68e967bOAI: oai:DiVA.org:ltu-3274DiVA, id: diva2:976130
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Godkänd; 1998; 20070821 (pafi)Tilgjengelig fra: 2016-09-29 Laget: 2016-09-29 Sist oppdatert: 2018-05-15bibliografisk kontrollert

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