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- sta-135 - multivariate-data-analysis
University of California-Davis Course Info
Davis, California•
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Course Info
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STA 135
Multivariate Data Analysis
Multivariate normal distribution; Mahalanobis distance; sampling distributions of the mean vector and covariance matrix; Hotellings T2; simultaneous inference; one-way MANOVA; discriminant analysis; principal components; canonical correlation; factor analysis. Intensive use of computer analyses and real data sets.
Units: 4.0
Hours: Lecture—3 hour(s); Discussion—1 hour(s).
Prerequisites:
MAT 067 - Modern Linear Algebra
Min Grade: C
Min Grade: C
or
MAT 027A - Linear Algebra with Applications to Biology
Min Grade: C
Min Grade: C
or
MAT 022A - Linear Algebra
Min Grade: C
Min Grade: C
and
STA 131B - Introduction to Mathematical Statistics
Min Grade: C
Min Grade: C
or
STA 130B - Mathematical Statistics: Brief Course
Min Grade: C
Min Grade: C