Embedded Files
New: Practical Time Series Forecasting with R, 3rd Edition (in full color)
The following tutorials have been provided by Prof. Mayukh Dass. The tutorials follow the book examples, with step-by-step explanations. We thank Prof. Dass for sharing these useful resources.
1. Dataset Partitioning using XLMiner (6 min)
1. Dataset Partitioning using XLMiner (6 min)
2. Forecasting with Linear Models (53 min)
2. Forecasting with Linear Models (53 min)
3. DeTrending, DeSeasonality, and Smoothing Techniques (28 min)
3. DeTrending, DeSeasonality, and Smoothing Techniques (28 min)
4. ACF and Random Walk in XLMiner (9 min)
4. ACF and Random Walk in XLMiner (9 min)
5. Neural Network Forecasting using XLMiner (13 min)
5. Neural Network Forecasting using XLMiner (13 min)
Google Sites
Report abuse