GSB 735 Forecasting


In this course, students receive practical experience in effectively forecasting business activity using statistical software packages as a means for data interpretation. Topics include: data collection methods using internet resources, regression analysis and variable transformation techniques using economic and financial databases, short-term forecasting techniques including moving averages and exponential smoothing, and applying Box-Jenkins (ARIMA) models to seasonal data sets. 

Prerequisites: GSB 613