Business Forecasting Models

Catalog description

Quantitative forecasting methods are covered including averaging and smoothing techniques, time series decomposition of underlying components, and casual modeling such as simple and multiple regression. Students are introduced to autoregressive integrated moving average (ARIMA) models using the Box-Jenkins approach. Developing systematic approach to forecasting problems is emphasized. (Credits cannot be earned for both BUAN 444 , OIM 444 and OM 544)