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Author Question: When the underlying mean of a time series is very stable and there are no trend, cyclical, or ... (Read 135 times)

Brittanyd9008

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on: Apr 18, 2020
When the underlying mean of a time series is very stable and there are no trend, cyclical, or seasonal influences:
◦ a simple moving-average forecast with n = 3 should outperform a simple moving-average forecast with n = 20.
◦ a simple moving-average forecast with n = 20 should outperform a simple moving-average forecast with n = 3.
◦ an exponential smoothing forecast with α = 0.30 should outperform a simple moving-average forecast with α = 0.01.
◦ a simple moving-average forecast with n = 20 should perform about the same as a simple moving-average forecast with n = 3.
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Marked as best answer by Brittanyd9008 on Apr 18, 2020

Joc

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Reply #1 on: Apr 18, 2020
Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.
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Brittanyd9008

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Reply 2 on: Apr 18, 2020
Wow, this really help

Liamb2179

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Reply 3 on: Yesterday
Great answer, keep it coming :)

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