Math 6040/7260 - Linear Models - Spring 2022

Syllabus

Course Topics

The term “linear models” describes a wide class of methods for the statistical analysis of multivariate data. The underlying theory is grounded in linear algebra and multivariate statistics, but applications range from biological research to public policy. The objective of this course is to provide a solid introduction to both the theory and practice of linear models, combining mathematical concepts with realistic examples.

Lecture and Practicals

Mon 11:00am - 11:50am @ Howard-Tilton Memorial Library 116 and Zoom https://tulane.zoom.us/j/94748340296
Wed 11:00am - 11:50am @ Howard-Tilton Memorial Library 116 and Zoom https://tulane.zoom.us/j/94748340296
Fri 11:00am - 11:50am @ Zoom https://tulane.zoom.us/j/96583956151

Instructor

Dr. Xiang Ji
Office: Gibson 401D
Email: xji4@tulane.edu
Office hours: Friday 9:45 am - 10:45 am with zoom link: https://tulane.zoom.us/j/97602892460, or by appointment.

Textbooks

We mainly follow the book

• “Applied Regression Analysis and Generalized Linear Models” 2nd. Edition by John Fox

with supplements of

• “A Primer on Linear Models” by John Monahan
• “Statistical Research Methods in the Life Sciences” by P.V. Rao.

Course Webpage

https://tulane-math-7260-2022.github.io/

ADA/Accessibility Statement

Any students with disabilities or other needs, who need special accommodations in this course, are invited to share these concerns or requests with the instructor and should contact Goldman Center for Student Accessibility: http://accessibility.tulane.edu (Links to an external site.)or 504.862.8433.

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