Comparing the parameters of a model for several units by means of principal component analysis
Computational Statistics & Data AnalysisPublished 1 April 1992
Henri Caussinus, Louis Ferré
Citations12
SJR quartileQ1
SJR score0.89
SNIP1.38
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Abstract
We discuss an appropriate way of performing Principal Component Analysis when the variates are estimates of the p parameters of a given model. We give several examples of application with simulated or real life data. These include the comparison of a set of dispersion matrices and the comparison of a set of parametric growth curves.
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