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Dec 30, 2024
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BAN 215 - Business Forecasting
Semester Hours: 3
Periodically
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.
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