BUSINESS FORCASTING 4312

Prerequisites: Minimum campus GPA of 2.0 or graduate standing; also either BA 3320 or (Math 3000 and Stat 1320) Further study of statistical tools for forecasting in a decision-making context. Topics include explanatory models (multiple regression), classical time series decomposition, and extrapolative techniques (exponential smoothing and Box-Jenkins procedures). In addition, methods for considering problems of intervention effects, seasonality, and collinearity will be discussed. Students will perform extensive analyses of time series data using computer packages.