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Showing 1 to 2 of 2 for “"Common Principal Components"”.
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Canonical Variate Analysis and Related Methods with Longitudinal Data
… structure analysis approach. All methods have in common that they hypothesize canonical variates which are stable over time. The maximum likelihood approach models the positions of the group means in the subspace of the canonical variates. It also requires modeling the structure of the …
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Functional Principal ComponentsAnalysis,Implementation and Applications
… of the most popular FDA technique – Functional Principal Components Analysis (FPCA). FPCA is the functional analogue of the well known dimension reduction technique in the multivariate statistical analysis – search for the (pairwise orthogonal) linear transformations of the random vector with …