Forecasting methods
B Nath
7 points * Second semester * Distance
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% * Examinations (3 hours): 40%
Prescribed texts
To be advised
Recommended texts
Bowerman B L and O'Connell R T Time series forecasting - Unified concepts and computer implementation 2nd edn, Duxbury, 1987
Newbold P and Bos T Introductory business forecasting South-Western, 1990