Exponential Smoothing - Exponential Smoothing Statistical...

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Exponential Smoothing Statistical technique for detecting significant changes in data by ignoring the fluctuations irrelevant to the purpose at hand. In exponential smoothing (as opposed to in moving averages smoothing) older data is given progressively-less relative weight (importance) whereas newer data is given progressively-greater weight. Also called averaging, it is employed in making short- term forecasts. The 'wait-and-see' attitude to changes around them is the intuitive way people employ exponential smoothing in their daily living. This is a very popular scheme to produce a smoothed Time Series. Whereas in Moving Averages the past observations are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as the observation get older. In other words, recent observations are given relatively more weight in forecasting than the older observations. Exponential Smoothing assigns exponentially decreasing weights as the observation get older. In other words, recent
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This note was uploaded on 04/04/2012 for the course AASTT 24 taught by Professor Khlilaburass during the Spring '12 term at Arab Academy for Science, Technology & Maritime Transport.

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