Change search
ReferencesLink to record
Permanent link

Direct link
Identification of significant factors by an extension of ANOVA-PCA based on multi-block analysis
Umeå University, Faculty of Science and Technology, Department of Chemistry.
Show others and affiliations
2011 (English)In: Chemometrics and Intelligent Laboratory Systems, ISSN 0169-7439, E-ISSN 1873-3239, Vol. 106, no 2, 173-182 p.Article in journal (Refereed) Published
Abstract [en]

A modification of the ANOVA-PCA method, proposed by Harrington et al. to identify significant factors and interactions in an experimental design, is presented in this article. The modified method uses the idea of multiple table analysis, and looks for the common dimensions underlying the different data tables, or data blocks, generated by the "ANOVA-step" of the ANOVA-PCA method, in order to identify the significant factors. In this paper, the "Common Component and Specific Weights Analysis" method is used to analyse the calculated multi-block data set. This new method, called AComDim, was compared to the standard ANOVA-PCA method, by analysing four real data sets. Parameters computed during the AComDim procedure enable the computation of F-values to check whether the variability of each original data block is significantly greater than that of the noise.

Place, publisher, year, edition, pages
2011. Vol. 106, no 2, 173-182 p.
Keyword [en]
Multi-block analysis, Common Component and Specific Weights Analysis, ComDim, ANOVA-PCA, F-test
National Category
Other Chemistry Topics
URN: urn:nbn:se:umu:diva-104462DOI: 10.1016/j.chemolab.2010.05.005ISI: 000290927200005OAI: diva2:823697
Chimiometrie Conference, NOV 30-DEC 01, 2009, Paris, FRANCE
Available from: 2015-06-18 Created: 2015-06-11 Last updated: 2015-06-18Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Pinto, Rui Climaco
By organisation
Department of Chemistry
In the same journal
Chemometrics and Intelligent Laboratory Systems
Other Chemistry Topics

Search outside of DiVA

GoogleGoogle ScholarTotal: 1 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 67 hits
ReferencesLink to record
Permanent link

Direct link