7 citations · 19 across the 6 of their papers we have counts for
4 papers · 1 filter
From design of experiments to analysis of variance of multivariate data: a tutorial review on ANOVA simultaneous component analysis
José Camacho, Jokin Ezenarro, Daniel Schorn-García +1
ANOVA Simultaneous Component Analysis (ASCA) is the current state-of-theart chemometric tool for analyzing and interpreting high-dimensional experimental data from a Design of Expe…
An alignment-agnostic methodology for the analysis of designed separations data
Michael Sorochan Armstrong, José Camacho
Chemical separations data are typically analysed in the time domain using methods that integrate the discrete elution bands. Integrating the same chemical components across several…
Considerations for missing data, outliers and transformations in permutation testing for ANOVA, ASCA(+) and related factorizations
Oliver Polushkina Merchanskaya, Michael D. Sorochan Armstrong, Carolina Gómez Llorente +5
Multifactorial experimental designs allow us to assess the contribution of several factors, and potentially their interactions, to one or several responses of interests. Following…
Population Power Curves in ASCA with Permutation Testing
Jose Camacho, Michael Sorochan Armstrong
In this paper, we revisit the Power Curves in ANOVA Simultaneous Component Analysis (ASCA) based on permutation testing, and introduce the Population Curves derived from population…