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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

Naive and average forecasting

Forecasting · STEM / applied

Topic

Naive and average forecasting

Practice by unit: Forecasting foundations

Undergraduate Forecasting — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable).

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