AMS256: Linear Statistical Models

Theory, methods, and applications of linear statistical models. Review of simple correlation and simple linear regression. Multiple and partial correlations and multiple linear regression. Analysis of variance and covariance. Linear model diagnostics and model selection. Case studies drawn from natural, social, and medical sciences. Course 205 strongly recommended as a prerequisite. Undergraduates are encouraged to take this class with permission of instructor. Prerequisite(s): course 205A or 205B or permission of instructor. Enrollment restricted to graduate students.

5 credits

Year	Fall	Winter	Spring	Summer

While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.