STAT 8436 LINEAR MODELS (3 credits)
This course introduces students to linear statistical models. Topics will include: simple linear regression models, multiple linear regression models, ANOVA models including one way ANOVA, randomized block design, other designs, logistic regression models, Poisson regression models, bootstrapping/resampling models, and survival analysis. The course may also include mixed models and/or survival models. Some necessary linear algebra and mathematical statistics ideas will be reviewed at the beginning of the course. Computer software will be extensively used. (Cross-listed with STAT 4430)
Prerequisite(s): MATH 4750 or MATH 8756 w/ a grade of C- or better or STAT 3800 or STAT 8805 w/ a C- or better or instructor permission based on students' having taken a basic statistics course w/ a grade of C- or better & having a basic knowledge of calculus.