While these parameters enter each model in a different way (or not at all), they have the common prop-
erty that larger weights give more influence to recent data while smaller weights give less influence to
recent data.
Each smoothing model has an ARIMA model equivalent. These ARIMA equivalents are used to esti-
mate the smoothing weights and provide forecasts. You might not be able to specify the equivalent
ARIMA model using the
ARIMA command because some smoothing models intrinsically constrain the
ARIMA model parameters in ways the ARIMA command will not allow.
Smoothing Model Dialog
The Smoothing M ...
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