In this program
- Components of time series: trend, seasonality, cycle
- Naive and average forecasting
- Seasonal naive benchmarks
- Moving averages
- Exponential smoothing
- Forecast accuracy metrics: MAPE, MAD, RMSE
- Holdout samples
- Rolling forecasts
Forecasting foundations
Components of time series: trend, seasonality, cycle
Forecasting · Standard syllabus
Topic
Components of time series: trend, seasonality, cycle
Undergraduate Forecasting — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable).