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| The ARIMA Procedure |
Details: ARIMA Procedure
- The Inverse Autocorrelation Function
- The Partial Autocorrelation Function
- The Cross-Correlation Function
- The ESACF Method
- The MINIC Method
- The SCAN Method
- Stationarity Tests
- Prewhitening
- Identifying Transfer Function Models
- Missing Values and Autocorrelations
- Estimation Details
- Specifying Inputs and Transfer Functions
- Initial Values
- Stationarity and Invertibility
- Naming of Model Parameters
- Missing Values and Estimation and Forecasting
- Forecasting Details
- Forecasting Log Transformed Data
- Specifying Series Periodicity
- Detecting Outliers
- OUT= Data Set
- OUTCOV= Data Set
- OUTEST= Data Set
- OUTMODEL= SAS Data Set
- OUTSTAT= Data Set
- Printed Output
- ODS Table Names
- Statistical Graphics
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