DESC 608 Predictive Modeling (4)

An introduction to advanced statistical models and processes for understanding/estimating economic relationships, testing various theories, and evaluating and forecasting impacts of business decisions. This course leads to deep-thinking for the most fundamental methods in forecasting (time series models, ARIMA Models, and transfer functions). Essential topics will include: decomposition, smoothing techniques, ARIMA forecasts, multidimensional data modeling, classification models, and cross-validation. Once again, there are numerous opportunities for students to gain practical appreciation of these fundamental theories using realistic case analyses. Prerequisite(s): DESC 602 Statistical Thinking for Decision Intelligence (4)

Grading Basis: Graded