1. Time series analysis: Introduction to Forecasting Systems, Methods of Forcasting, Exponential Smoothing Methods, Smoothing Models for Seasonal Data, Moving Averages and related Methods.
2. Box-Jenkins methodology - Forecasting, AR, MA, ARMA Models, Stacioanarity
3. Regression analysis - Simple Linear Regression Model, Graph the Data, Introduction to Multiple Linear Regression
4. Testing the assumptions of linear regression - Heteroscedasticity, Serial Correlation, Multicollinearity
5. Generalized Least Squares Estimators - GLS
6. Two-Stage Least Squares (2SLS)
7. Economic evaluation processes - Taguchi's Loss Function
8. Taguchi Loss Function - Asymmetric Loss Functions.
2. Box-Jenkins methodology - Forecasting, AR, MA, ARMA Models, Stacioanarity
3. Regression analysis - Simple Linear Regression Model, Graph the Data, Introduction to Multiple Linear Regression
4. Testing the assumptions of linear regression - Heteroscedasticity, Serial Correlation, Multicollinearity
5. Generalized Least Squares Estimators - GLS
6. Two-Stage Least Squares (2SLS)
7. Economic evaluation processes - Taguchi's Loss Function
8. Taguchi Loss Function - Asymmetric Loss Functions.