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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, 10-16 p.Article 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, 10-16 p.
Keyword [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: diva2:1033857
Available from: 2016-10-10 Created: 2016-10-10 Last updated: 2017-05-17Bibliographically approved

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