Multivariate Analysis and Classification

Scott Pardo ()
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Scott Pardo: Ascensia Diabetes Care, Global Medical & Clinical Affairs

Chapter Chapter 16 in Statistical Analysis of Empirical Data, 2020, pp 209-217 from Springer

Abstract: Abstract Often multiple variables are measured or observed on each experimental unit, and those variables may be correlated with each other. Sometimes individuals are known a priori to belong to one of several groups, and sometimes there is no a priori known grouping. Multivariate methods can be used to create a classification function, so that any new individual can be placed into one of the several categories, either those that were already known to exist or into those that were discovered after analysis.

Keywords: Classification; Discriminant analysis; Principal components; Cluster analysis (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-43328-4_16

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DOI: 10.1007/978-3-030-43328-4_16

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