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:
Dr. Xiang Ji
Office: Gibson 401D
Email: xji4@tulane.edu
Office hours: by appointment.
Special thanks to Dr. Michelle Lacey, Dr. Hua Zhou and Dr. Marc Suchard for sharing their course materials.