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Exponential smooting
what is exponential smooting? what are the characteristics?
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Ronak kumari upadhyay
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Exponential smoothing, proposed in the late 1950s, is another technique that can be applied to time series data to make forecasts. Whereas in the simple MA the past observations are weighted equally, exponential smoothing uses exponentially decreasing weights over time. There are three main types of exponential smoothing time series forecasting methods. A simple method that assumes no systematic structure, an extension that explicitly handles trends, and the most advanced approach that add support for seasonality.
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Ronak kumari upadhyay
Exponential smoothing, proposed in the late 1950s, is another technique that can be applied to time series data to make forecasts. Whereas in the simple MA the past observations are weighted equally, exponential smoothing uses exponentially decreasing weights over time. There are three main types of exponential smoothing time series forecasting methods. A simple method that assumes no systematic structure, an extension that explicitly handles trends, and the most advanced approach that add support for seasonality.