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Tags

#m249 #mathematics #open-university #statistics #time-series

Question

Whereas in the simple moving average the past observations are weighted equally, exponential smoothing assigns [...] weights over time.

Answer

exponentially decreasing

Tags

#m249 #mathematics #open-university #statistics #time-series

Question

Whereas in the simple moving average the past observations are weighted equally, exponential smoothing assigns [...] weights over time.

Answer

?

Tags

#m249 #mathematics #open-university #statistics #time-series

Question

Whereas in the simple moving average the past observations are weighted equally, exponential smoothing assigns [...] weights over time.

Answer

exponentially decreasing

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Whereas in the simple moving average the past observations are weighted equally, exponential smoothing assigns exponentially decreasing weights over time.

#### Original toplevel document

**Exponential smoothing - Wikipedia, the free encyclopedia**

either to produce smoothed data for presentation, or to make forecasts. The time series data themselves are a sequence of observations. The observed phenomenon may be an essentially random process, or it may be an orderly, but noisy, process. <span>Whereas in the simple moving average the past observations are weighted equally, exponential smoothing assigns exponentially decreasing weights over time. Exponential smoothing is commonly applied to financial market and economic data, but it can be used with any discrete set of repeated measurements. The simplest form of exponential smoot

Whereas in the simple moving average the past observations are weighted equally, exponential smoothing assigns exponentially decreasing weights over time.

either to produce smoothed data for presentation, or to make forecasts. The time series data themselves are a sequence of observations. The observed phenomenon may be an essentially random process, or it may be an orderly, but noisy, process. <span>Whereas in the simple moving average the past observations are weighted equally, exponential smoothing assigns exponentially decreasing weights over time. Exponential smoothing is commonly applied to financial market and economic data, but it can be used with any discrete set of repeated measurements. The simplest form of exponential smoot

status | not learned | measured difficulty | 37% [default] | last interval [days] | |||
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repetition number in this series | 0 | memorised on | scheduled repetition | ||||

scheduled repetition interval | last repetition or drill |

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