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Multivariate Analysis and Classification

In: Statistical Analysis of Empirical Data

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  • Scott Pardo

    (Ascensia Diabetes Care, Global Medical & Clinical Affairs)

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.

Suggested Citation

  • Scott Pardo, 2020. "Multivariate Analysis and Classification," Springer Books, in: Statistical Analysis of Empirical Data, chapter 0, pages 209-217, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-43328-4_16
    DOI: 10.1007/978-3-030-43328-4_16
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