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Forecasting methods (6 points)


Leader: To be advised

Not offered in 2003.

Synopsis: Characteristics and essentials of forecasting, introduction to time-series data analysis, forecasting techniques including regression, moving averages, exponential smoothing, decomposition, subjective assessment methods, and Box-Jenkins ARIMA models. Use of spreadsheets and computer packages to prepare forecasts and compare different techniques.

Assessment: Two assignments: 60% + Examination (3 hours): 40%

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