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Tags

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

Question

The ﬁrst step is to ﬁnd an initial estimate of the trend component m_{t} that is not unduly inﬂuenced by the seasonal component s_{t}. A reasonable starting point would be to use a simple moving average with order equal to [...]. Such a moving average would smooth out the seasonal variation, as the annual highs and lows would cancel out.

Answer

the period T of the seasonal cycle

Tags

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

Question

The ﬁrst step is to ﬁnd an initial estimate of the trend component m_{t} that is not unduly inﬂuenced by the seasonal component s_{t}. A reasonable starting point would be to use a simple moving average with order equal to [...]. Such a moving average would smooth out the seasonal variation, as the annual highs and lows would cancel out.

Answer

?

Tags

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

Question

The ﬁrst step is to ﬁnd an initial estimate of the trend component m_{t} that is not unduly inﬂuenced by the seasonal component s_{t}. A reasonable starting point would be to use a simple moving average with order equal to [...]. Such a moving average would smooth out the seasonal variation, as the annual highs and lows would cancel out.

Answer

the period T of the seasonal cycle

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#### Parent (intermediate) annotation

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ead>The ﬁrst step is to ﬁnd an initial estimate of the trend component m t that is not unduly inﬂuenced by the seasonal component s t . A reasonable starting point would be to use a simple moving average with order equal to the period T of the seasonal cycle. Such a moving average would smooth out the seasonal variation, as the annual highs and lows would cancel out.<html>

#### Original toplevel document (pdf)

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ead>The ﬁrst step is to ﬁnd an initial estimate of the trend component m t that is not unduly inﬂuenced by the seasonal component s t . A reasonable starting point would be to use a simple moving average with order equal to the period T of the seasonal cycle. Such a moving average would smooth out the seasonal variation, as the annual highs and lows would cancel out.<html>

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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