Window Reference

# Smoothing Model Specification Window

Use the Smoothing Model Specification window to specify and fit exponential smoothing and Winters method models. Access it from the Develop Models window by using the Fit Model submenu of the Edit menu or from the pop-up menu when you click an empty area of the model table.

### Controls and Fields

Series

is the name and variable label of the current series.

Model

is a descriptive label for the model that you specify. You can type a label in this field or allow the system to provide a label. If you leave the label blank, a label is generated automatically based on the options you specify.

Smoothing Methods

Simple Smoothing

specifies simple (single) exponential smoothing.

Double (Brown) Smoothing

specifies double exponential smoothing by using Brown’s one parameter model (single exponential smoothing applied twice).

Seasonal Smoothing

specifies seasonal exponential smoothing. (This is like Winters method with the trend term omitted.)

Linear (Holt) Smoothing

specifies exponential smoothing of both the series level and trend (Holt’s two parameter model).

Damped-Trend Smoothing

specifies exponential smoothing of both the series level and trend with a trend damping weight.

specifies Winters method with additive seasonal factors.

Winters Method - Multiplicative

specifies Winters method with multiplicative seasonal factors.

Smoothing Weights

displays the values used for the smoothing weights. By default, the Smoothing Weights fields are set to "optimize," which means that the system will compute the weight values that best fit the data. You can also type smoothing weight values in these fields.

Level

is the smoothing weight used for the level of the series.

Trend

is the smoothing weight used for the trend of the series.

Damping

is the smoothing weight used by the damped-trend method to damp the forecasted trend towards zero as the forecast horizon increases.

Season

is the smoothing weight used for the seasonal factors in Winters method and seasonal exponential smoothing.

Transformation

displays the series transformation specified for the model. When a transformation is specified, the model is fit to the transformed series, and forecasts are produced by applying the inverse transformation to the model predictions. Select Log, Logistic, Square Root, Box-Cox, or None from the pop-up list.

Bounds

displays the constraints imposed on the fitted smoothing weights. Select one of the following from the pop-up list:

sets the smoothing weight optimization region to the intersection of the region bounded by the intervals from zero (0.001) to one (0.999) and the additive invertible region. This is the default.

Zero-One Boundaries

sets the smoothing weight optimization region to the region bounded by the intervals from zero (0.001) to one (0.999).

sets the smoothing weight optimization region to the additive invertible region.

Unrestricted

sets the smoothing weight optimization region to be unbounded.

Custom

opens the Smoothing Weights window to enable you to customize the constraints for smoothing weights optimization.

OK

closes the Smoothing Model Specification window and fits the model you specified.

Cancel

closes the Smoothing Model Specification window without fitting the model. Any options you specified are lost.

Reset

resets all options to their initial values upon entry to the window. This might be useful when editing an existing model specification; otherwise, Reset has the same function as Clear.

Clear

resets all options to their default values.

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