MATH 106 - Applied Linear Statistical Models

Prerequisite: MATH 75; MATH 11 or MATH 101 or permission of instructor
Topics include simple linear regression, parameter inference, interval estimation, prediction, diagnostics and remedial measures, multiple linear regression, model selection and validation, generalized linear models, ridge regression, LASSO.

Units: 3
Course Typically Offered: Spring