Shows a submenu of smoothing models. Once you select a smoothing model, a specification window appears. See Smoothing Model Windows. For each model that is specified, a Smoothing Model Report appears in the report window. See Model Report. Smoothing models represent the evolution of a time series by the model:
is the time-varying mean term
is the time-varying slope term
is one of the s time-varying seasonal terms
are the random shocksFor more information about the general smoothing model equation, see Statistical Details for Smoothing Models. The following smoothing models are available:
A model that estimates values by using an average of several adjacent points, defined by the smoothing window. The Simple Smoothing Average Specification window enables you to specify aspects of the smoothing window. Once specified, a Simple Moving Average report is shown. By default, this report produces plotted values that are equal to the average of consecutive observations in a time window. Multiple Simple Moving Average models can be added and shown on the same plot. For details, see Simple Smoothing Average Specification Window.
A model with a level component and a trend component. This is a special case of Linear Exponential Smoothing. See Double (Brown) Exponential Smoothing.
A model with a level component and a damped trend component. This model is appropriate for a series that exhibits a trend more complicated than a linear trend. See Damped-Trend Linear Exponential Smoothing.