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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
  • printrdacarrier

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  • LIBRIS-ID:oai:DiVA.org:miun-29080
  • https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-29080URI
  • https://doi.org/10.1016/j.chemolab.2006.08.002DOI

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  • Language:English
  • Summary in:English

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  • Subject category:art swepub-publicationtype

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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)

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  • In:Chemometrics and Intelligent Laboratory Systems: Elsevier BV86:1, s. 10-160169-74391873-3239

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Wallbäcks, Lars
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NATURAL SCIENCES
NATURAL SCIENCES
and Mathematics
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Chemometrics and ...
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Mid Sweden University

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