Statistical techniques used in the forecasting of time series and their applications to business problems. Topics include smoothing and decomposition methods, seasonal variation, autoregressive moving average methods and Box-Jenkins techniques.
Prerequisite(s)/Course Notes: BAN 203. Open only to matriculated graduate students in the Frank G. Zarb School of Business and in other Schools at Hofstra where appropriate. See specific program requirements.