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Explore a novel approach to analyzing multi-way datasets from designed experiments in this 56-minute webinar. Delve into the complementary nature of Analysis of Variance (ANOVA) Simultaneous Component Analysis (ASCA+) and Tucker3 tensor decompositions. Learn how combining Tucker3 models with ASCA+, permutation methods, and bootstrap methods can identify statistically sufficient Tucker3 models, pinpoint statistically important triads for easier interpretation, and eliminate non-significant triads to simplify visualization and interpretation. Presented by Paul Gemperline and Farnoosh Koleini, this webinar offers valuable insights for researchers and data scientists working with complex experimental datasets in chemometrics and machine learning.
