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Kevin Vo

Data Enthusiast, works in R and Python

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Multivariate Data Analysis (4)

Class Code: STA135
Division: Statistics
Prerequisite: course 130B, and preferably course 131B.
Description: tivariate normal distribution; Mahalanobis distance; sampling distributions of the mean vector and covariance matrix; Hotelling’s T2; simultaneous inference; one-way MANOVA; discriminant analysis; principal components; canonical correlation; factor analysis. Intensive use of computer analyses and real data sets.