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10809 (v.2) Business Forecasting 201

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Area:	School of Information Systems
Contact Hours:	3.0
Credits:	25.0
Seminar:	1 x 3 Hours Weekly
Prerequisite(s):	10993 (v.2) Business Statistics 101 or any previous version
Classification of models and choice criteria, autocorrelation and differencing, time series models including moving averages, exponential smoothing, adaptive filtering, decomposition methods and Box-Jenkins methodology/ARIMA models, simple regression models, multiple regression models, quantitative and qualitative forecasting techniques.

 
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