Forecasting
4 points * 2 hours of classes/computer laboratory per week * Second semester * Caulfield * Prerequisites: MAT1060 or MAT1372 * Prohibitions: MAS3421, GAS3751
Objectives At the completion of this subject students will be able to develop a working knowledge and understanding of the basic concepts and techniques in time series analysis and forecasting; apply these techniques to problems in business computing and information systems; develop the ability to use statistical software correctly in practical forecasting.
Synopsis Time series forecasting methods, moving average and autoregressive processes, integrated models, trend, cyclical and seasonal effects, random variation, smoothing techniques, point and interval forecasts, checking model adequacy. Use of software.
Assessment Examination (2 hours, open-book): 70% * Assignments: 30%
Recommended texts
Montgomery D C and others Forecasting and time series analysis 2nd edn, McGraw-Hill, 1990
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