Forecasting Methods
Techniques of forecasting and model building are introduced. Methods covered are simple and multiple regression, introduction to time series components, exponential smoothing algorithms, and AIRMA models - Box Jenkins techniques. Business cases are demonstrated and solved using the computer.
Prerequisites: Graduate School of Business Student and ISSCM 491 or ISSCM 402N.
Outcomes: To be able forecast business and economic variables to enhance business decisions.
Prerequisites: Graduate School of Business Student and ISSCM 491 or ISSCM 402N.
Outcomes: To be able forecast business and economic variables to enhance business decisions.