Simple Exponential Smoothing and Forecasting

Performs simple and complex (multiple-parameter) exponential smoothing; models can include additive and multiplicative seasonal components, and linear, exponential, and damped trends components.

Summary Plots

Element Name Description
Summary plot Computes and report summary plot for the different components.
Label plots with case names Label the horizontal axis in plots (if Level of detail is All results) with case numbers or case names (if available).

Missing Data

Element Name Description
Replace missing data Specifies how missing data is to be replaced. Missing data can be replaced by the overall mean, interpolated from adjacent points, replaced by the mean or median of N adjacent points (on both sides of the hole), or estimated (predicted) from linear trend regression.

 Note that as long as the missing data are at the end of the series (trailing missing data) or the beginning of the series (leading missing data), the missing data will simply be ignored.
Number of adjacent points Applicable if missing data are replaced by the mean or median of N adjacent points; specify N.

 The missing data are replaced by the mean or median computed from the N adjacent points on both sides of the hole of missing data.