# exponential smoothing

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## exponential smoothing

[‚ek·spə′nen·chəl ′smüth·iŋ]
(industrial engineering)
A mathematical-statistical method of forecasting used in industrial engineering which assumes that demand for the following period is some weighted average of the demands for the past periods.

## exponential smoothing

A widely used technique in forecasting trends, seasonality and level change. Works well with data that has a lot of randomness.
References in periodicals archive ?
For this aim, three exponential smoothing methods, Holt, Brown and Damped Trend were executed to economically model the time series data.
1 Double seasonal Holt-Winters exponential smoothing (DSHWES) model
NICE EVOLVE WFM forecasting combines next-generation technology (including advanced mathematical methods such as Box-Jenkins ARIMA, exponential smoothing and multi-linear season regression) with an award-winning, customer-friendly user interface and cloud-based delivery.
Olsen and Jose (1982) used data on two restaurants to compare single and double exponential smoothing models.
Use the single exponential smoothing method to predict the Hurst coefficient in future time intervals.
For undergraduates, the most important was regression analysis followed by multiple regression, time series decomposition, moving average, exponential smoothing, autocorrelation, auto regressive models, Box-Jenkins, Census X11, and adaptive filtering.
The combination of autoregressive integrated moving average (ARIMA) and seasonal exponential smoothing (SES) techniques were found to be the most accurate.
Multi-criteria ABC inventory classification with exponential smoothing weights was introduced (Jamshidi & Jain, 2008).
Let be a popularity degree of a block is defined as the future access frequency based on the number of access demand, at a time, the popularity degree of a block can be calculated using Holt's Linear and Exponential Smoothing (HLES).
In Pakistan there is a need to stabilize production of wheat in order to sustain food security the main crop models used for wheat in our country are APSIM DSSAT SWAT CROPWAT Random Walk with Drift Linear Trend Simple Exponential Smoothing ARIMAand IFSM.
Exponential smoothing models because of their characteristics have found very wide application in production and service organizations [1, 3].
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