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.
Lectures: Mon/Wed/Fri, 10:55am - 11:40am Tilton Memorial Hall 301 with zoom link: https://tulane.zoom.us/j/96066182198
Dr. Xiang Ji
Office: N.A. due to COVID
Email: xji4@tulane.edu
Office hours: Friday 9:30am - 10:45am with zoom link https://tulane.zoom.us/j/96341432148, or by appointment.
Louis Nass
Email: lnass@tulane.edu
Office hours: Tuesday, Thursday 2:00pm - 3:00pm with zoom link
https://tulane.zoom.us/j/6803916125
Special thanks to Dr. Michelle Lacey, Dr. Hua Zhou and Dr. Marc Suchard for sharing their course materials.