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Scientists, engineers, and business analysts who have the responsibility of forecasting or evaluating policies and practices for their organizationsStruktura kurzu
Tato část není lokalizována
Introduction to Forecasting
- Time series and forecasting.
- Introduction to forecasting with SAS software.
- Evaluating forecasts.
Stationary Time Series Models
- Introduction to stationary time series.
- Automatic model selection techniques for stationary time series.
- Estimation and forecasting for stationary time series.
Trend Models
- Introduction to nonstationary time series.
- Modeling trend.
- Alternatives to PROC ARIMA for modeling trend.
Seasonal Models
- Seasonal ARIMA models.
- Alternatives to PROC ARIMA for fitting seasonal models.
- Forecasting the airline passengers data.
Models with Explanatory Variables
- Ordinary regression models.
- Event models.
- Time series regression models.
