Mid Sweden University

miun.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Multivariate data analysis of multivariate populations
Mid Sweden University, Faculty of Science, Technology and Media, Department of Natural Sciences. (Network for Process Intelligence, NPI)
2007 (English)In: Chemometrics and Intelligent Laboratory Systems, ISSN 0169-7439, E-ISSN 1873-3239, Vol. 86, no 1, p. 10-16Article in journal (Refereed) Published
Abstract [en]

For data that can be arranged in populations, multivariate data analysis of digitalized distributions is suggested as an alternative method to detect variations. This approach includes a representation of the data that avoids information destroying pre-processing such as averaging. The method is exemplified and discussed for both single variable distributions and multivariable distributions. A theoretical discussion is presented on its use with data from fibre measuring systems, time series and image analysis data. The method is suggested as either a complement or alternative to other types of data analysis and opens new possibilities for variation detection.

Place, publisher, year, edition, pages
2007. Vol. 86, no 1, p. 10-16
Keywords [en]
Multivariate distributions, NIR spectroscopy, Populations, Time series
National Category
Mathematics
Identifiers
URN: urn:nbn:se:miun:diva-29080DOI: 10.1016/j.chemolab.2006.08.002ISI: 000245574700002Scopus ID: 2-s2.0-33847330196OAI: oai:DiVA.org:miun-29080DiVA, id: diva2:1033857
Available from: 2016-10-10 Created: 2016-10-10 Last updated: 2017-05-17Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus
By organisation
Department of Natural Sciences
In the same journal
Chemometrics and Intelligent Laboratory Systems
Mathematics

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 57 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf