Spring 2022 - STAT 445 E100
Applied Multivariate Analysis (3)
Class Number: 6724
Delivery Method: In Person
Course Times + Location:
Tu 4:30 PM – 6:20 PM
WMC 3520, Burnaby
Th 4:30 PM – 5:20 PM
SSCB 9201, Burnaby
Office: ASB 10905.1
Prerequisites:STAT 285 or STAT 302 or STAT 305 or ECON 333 or equivalent, with a minimum grade of C-.
Introduction to principal components, cluster analysis, and other commonly used multivariate techniques. Quantitative.
1. Random vectors and matrices, sample geometry
2. Multivariate normal distribution
3. Principal components
4. Factor analysis
6. Multivariate linear regression
- Assignments 10%
- Homework problems and data analysis projects 90%
Above grading is subject to change.
Applied Multivariate Statistical Analysis, 6th ed by R.A. Johnson and D.W. Wichern. Publisher: Prentice Hall.
Book is available through the SFU Bookstore
Department Undergraduate Notes:
Students looking for a tutor should visit https://www.sfu.ca/stat-actsci/all-students/other-resources/tutoring.html. We accept no responsibility for the consequences of any actions taken related to tutors.
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
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TEACHING AT SFU IN SPRING 2022
Teaching at SFU in spring 2022 will involve primarily in-person instruction, with safety plans in place. Some courses will still be offered through remote methods, and if so, this will be clearly identified in the schedule of classes. You will also know at enrollment whether remote course components will be “live” (synchronous) or at your own pace (asynchronous).
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