Multivariate Statistical Methods: A Primer 5th Edition

◆ ◆ Uncover hidden patterns in multi-dimensional data using multivariate statistical tools. ────────── This foundational primer explores multivariate analysis techniques, including principal component analysis, factor analysis, multivariate regression, and cluster classification.

➤ Highlights:

• Matrix algebra foundations for multivariate data.
• Principal component and factor analysis methods.
• Multivariate analysis of variance (MANOVA).
• Cluster analysis and classification algorithms.
• Discriminant analysis and predictive modeling.