This course will expose students to the theory and applications of linear models from a statistical paradigm. A review of basic multiple regression and diagnostics will be followed by the theory and applications of mixed models and generalized linear models. Advanced regression including nonparametric regression and penalized regression will be covered. Prerequisites:STAT 3060 or equivalent, MATH2120 or equivalent, MATH1240 or equivalent and successful completition of at least one university level computer programming course Recommended Requisites:STAT 3050
This course will expose students to the theory and applications of linear models from a statistical paradigm. A review of basic multiple regression and diagnostics will be followed by the theory and applications of mixed models and generalized linear models. Advanced regression including nonparametric regression and penalized regression will be covered. Prerequisites:STAT 3060 or equivalent, MATH2120 or equivalent, MATH1240 or equivalent and successful completition of at least one university level computer programming course Recommended Requisites:STAT 3050
