Fall 2021 - STAT 850 G100
Linear Models and Applications (4)
Class Number: 5077
Delivery Method: In Person
Course Times + Location:
Tu, Th 2:30 PM – 4:20 PM
AQ 5008, Burnaby
1 778 782-4898
Prerequisites:STAT 350 or equivalent.
A modern approach to normal theory for general linear models including models with random effects and "messy" data. Topics include experimental units, blocking, theory of quadratic forms, linear contrasts, analysis of covariance, heterogeneous variances, factorial treatment structures, means comparisons, missing data, multi-unit designs, pseudoreplication, repeated measures mixed model formulation and estimation and inference.
1. Introduction; scope of linear models.
2. General theory; least squares and Gauss-Markov theorem; normal linear models; quadratic forms.
3. Anova models; design issues; block designs; fractional factorial designs.
4. Model selection; diagnostics; algorithms; selection criteria.
5. Multicollinearity; ridge regression; robust estimation; the bootstrap.
6. Mixed linear models; generalized linear models; nonparametric regression.
- Assignments 20%
- Presentation 20%
- Written Report 30%
- Final Project 30%
Above grading is subject to change.
Graduate Studies Notes:
Important dates and deadlines for graduate students are found here: http://www.sfu.ca/dean-gradstudies/current/important_dates/guidelines.html. The deadline to drop a course with a 100% refund is the end of week 2. The deadline to drop with no notation on your transcript is the end of week 3.
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
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TEACHING AT SFU IN FALL 2021
Teaching at SFU in fall 2021 will involve primarily in-person instruction, with approximately 70 to 80 per cent of classes in person/on campus, with safety plans in place. Whether your course will be in-person or through remote methods 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).
Enrolling in a course acknowledges that you are able to attend in whatever format is required. You should not enroll in a course that is in-person if you are not able to return to campus, and should be aware that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes.
Students with hidden or visible disabilities who may need class or exam accommodations, including in the context of remote learning, are advised to register with the SFU Centre for Accessible Learning (firstname.lastname@example.org or 778-782-3112) as early as possible in order to prepare for the fall 2021 term.