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  • Wallbäcks, Lars (author)
  • Multivariate data analysis of multivariate populations
  • 2007
  • In: Chemometrics and Intelligent Laboratory Systems. - : Elsevier BV. - 0169-7439 .- 1873-3239. ; 86:1, s. 10-16
  • Journal article (peer-reviewed)abstract
    • 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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Type of publication
journal article (1)
Type of content
peer-reviewed (1)
Author/Editor
Wallbäcks, Lars (1)
University
Mid Sweden University (1)
Language
English (1)
Research subject (UKÄ/SCB)
Natural sciences (1)
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