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A nested analysis of variance combined with simultaneous component analysis, ASCA, was proposed to model high-dimensional chromatographic data.
Multilevel Simultaneous Component Analysis with invariant Pattern (MSCA-P) is applied to explore this historical dataset in the context of flux decline.
In the case of a well-designed experiment involving two or more factors (crossed or nested), data are usually decomposed into the contributions associated with the studied factors (and with their interactions), and the individual effect matrices are then analyzed using, e.g., PCA, as in the case of ASCA (analysis of variance combined with simultaneous component analysis).
Therefore in this article, we propose 1) to adopt another way of defining and organizing the blocks from the initial matrix and 2) to apply Multiple Co-inertia Analysis (MCoA) a multiblock method different from Simultaneous Component Analysis to manage this new scenario.
ANOVA- Simultaneous Component Analysis (ASCA) allowed the separation of the two sources of variation, suggesting thatthe TBT dose affected the evolution of the concentrations of lipids over time, although when the whole development process was considered, the interaction between time and dose factors was rather low.
In this work, the selected approach has been the ANOVA simultaneous component analysis (ASCA) method [ 37].
Similar(49)
This paper addresses the problem of noise reduction with simultaneous components extraction in vibration signals for faults diagnosis of bearing.
Cross-lagged components model the causal effect as observed at a later point in time, while simultaneous components are observed at the same time.
The outcoming data were analysed by the chemometric technique called ANOVA-simultaneous component analysis (ASCA).
Analysis of variance is performed using modern multivariate methods such as ANOVA-Simultaneous Component Analysis, ANOVA – Target Projection and regularized MANOVA.
The significance of treatments and vintage effects on wine phenolic compounds was assessed using ANOVA and ANOVA-Simultaneous Component Analysis (ASCA).
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