Methods Options

Select the method to use for predictions.

  • Apply seasonal methods: Seasonal forecasting methods extend the nonseasonal forecasting methods by adding an additional component to capture the seasonal behavior of the data. For information on seasonal methods, see Classic Seasonal Forecasting Methods in Working with Planning. The prediction selects the best seasonal forecasting method to use.
  • Apply non-seasonal methods: Nonseasonal methods attempt to forecast by removing extreme changes in past data where repeating cycles of data values are not present. For information on non-seasonal methods, see Classic Nonseasonal Forecasting Methods in Working with Planning. The prediction selects the best nonseasonal forecasting method to use.
  • Use ARIMA: For more information about Autoregressive Integrated Moving Average (ARIMA), see ARIMA Time-series Forecasting Methods in Working with Planning.
  • Use Extended ARIMA Search: Performs extended model search on ARIMA models by comparing with historical data. Results are accurate, but analysis will take noticeably more time.