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Compositional Data Analysis

Compositional Data Analysis (CoDA) is a branch of multivariate statistics designed for data that represent parts of a whole — proportions, percentages, or concentrations that sum to a constant. Introduced by John Aitchison in his landmark 1982 paper, CoDA recognises that standard Euclidean methods fail on the simplex and instead operates through log-ratio transformations that respect the relative nature of compositional information.

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Compositional Data Analysis (CoDA)

Taksonomisk metoderegister · regression-model / statistics

Aitchison, J. (1982). The statistical analysis of compositional data. Journal of the Royal Statistical Society: Series B, 44(2), 139–177. · DOI 10.1111/j.2517-6161.1982.tb01195.x

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Same method familyMultiple Linear Regressionmachine-suggested · Relational suggestion, not evidence.See alsoSymbolic Data Analysismachine-suggested · Relational suggestion, not evidence.