Introduces methods, theory and applications of statistical models, from linear models (simple and multiple linear regression), to hierarchical linear models. Topics such as estimation, residual diagnostics, goodness of fit, transformations, and various strategies for variable selection and model comparison will be discussed in depth. Examples and exercises will be demonstrated using statistical software. Same as APPM 5590.
instructor(s)
Dukic, Vanja
Primary Instructor
- Spring 2018 / Spring 2019
