A widely used technique in forecasting trends, seasonality and level change. Works well with data that has a lot of randomness.
 | Reproduced with permission from Computer Desktop Encyclopedia. Copyright (c) 1981-2009 The Computer Language Company Inc. All rights reserved. |
Additional Resources
- Small Improvements Causing Substantial Savings - Forecasting Intermittent Demand Data Using SAS Forecast Server
- Businesses require accurate forecasts of time series data that is not continuous. Often, time series data is intermittent discontinuous or interrupted. Intermittent time series data points are mostly zero the base value, with occasional departures from the base value. Intermittent time series are common in business and economic data. For...
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