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front |1 |2 |3 |4 |5 |6 |7 |8 |9 |10 |11 |12 |13 |14 |15 |16 |17 |18 |19 |20 |21 |22 |23 |24 |25 |26 |27 |28 |29 |30 |review |
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Lecture outline 1. Background 2. Forecasting methods 3. Selection points for the appropriate forecasting technique(s). 4. Concepts behind the times series analysis: 5. Decomposition method 6. Case study |