Topics in linear, generalized linear, and nonlinear models with fixed and random predictors, and balanced and unbalanced cases. Statistical topics integrated with the use of the computer packages SAS and R.
This course requires proctored exams. Details will be provided in the course syllabus.
This course can be applied toward:
STAA 553 (Experimental Design) or concurrent registration or written consent of instructor. This is a partial-semester course.
Tuition includes access to lecture recordings which are available by streamed video. Lecture recordings may also be available by download or on DVD. To determine viewing options, contact the Department of Statistics degree program staff at email@example.com. Visit the Department of Statistics website to learn more about what to do after registration, including creating your eID (if necessary) and accessing your course.
Textbooks and Materials