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exponential smoothing |
Also found in: Wikipedia | 0.03 sec. |
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A widely used technique in forecasting trends, seasonality and level change. Works well with data that has a lot of randomness. How to thank TFD for its existence? Tell a friend about us, add a link to this page, add the site to iGoogle, or visit webmaster's page for free fun content. |
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? Mentioned in | ? References in periodicals archive | |
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| Forecasting, based on sales history, can be done using polynomial regression, exponential smoothing with trend analysis or time series analysis. It provides coverage of seasonal decomposition, mean reversion, heavy-tailed distributions, exponential smoothing, spike pre-processing, autoregressive time series including models with exogenous variables and heteroskedastic (GARCH) components, regime-switching models, interval forecasts, jump-diffusion models, derivatives pricing and the market price of risk. As shown in exhibit 2, page 67, Excel offers an exponential smoothing and moving-average trend line in addition to the regression choices. |
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