STA 585 - Linear Models and Forecasting

This is an introductory regression and forecasting modeling course. Topics include basic concepts of linear models and forecasting, simple and multiple linear regression, model building and diagnostics, time series regression and smoothing, and forecasting time series with ARIMA (Autoregressive Integrated Moving Average) and Box-Jenkins models.

Prerequisite(s): MAT 282.
Co-requisite(s):
Credits: 3

Course Typically Offered:
Course Type: Statistics