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Graduate Course: Applied Multivariate Statistical Analysis
Topics include multivariate data visualization, basic concepts in ordination, principal component analysis, correspondence analysis, cluster analysis, canonical correlation, and multivariate scaling. Emphasis is place on practical applications in R of multivariate techniques to a variety of examples in environmental sciences.
Posted:
12/5/2017

Originator:
Rodica Gelca

Email:
rodica.gelca@ttu.edu

Department:
Mathematics and Statistics


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