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Multivariate data a...
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Wallbäcks, LarsMittuniversitetet,Institutionen för naturvetenskap (-2008),Network for Process Intelligence, NPI
(author)
Multivariate data analysis of multivariate populations
- Article/chapterEnglish2007
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Elsevier BV,2007
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printrdacarrier
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LIBRIS-ID:oai:DiVA.org:miun-29080
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https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-29080URI
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https://doi.org/10.1016/j.chemolab.2006.08.002DOI
Supplementary language notes
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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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.
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MittuniversitetetInstitutionen för naturvetenskap (-2008)
(creator_code:org_t)
Related titles
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In:Chemometrics and Intelligent Laboratory Systems: Elsevier BV86:1, s. 10-160169-74391873-3239
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