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Tags
#m249 #mathematics #open-university #statistics #time-series
Question
Suppose that the data are quarterly, so that T = 4; to smoothen out seasonal variations we cannot use simple moving average with period T = 4 (because number is even), and if we use T = 5, one season (e.g. winter and next winter) would be counted twice. How to recover from this?
Answer
Use T = 5 weighted average and weight down the season counted twice with 0.5 (relative to other periods' weights).

Tags
#m249 #mathematics #open-university #statistics #time-series
Question
Suppose that the data are quarterly, so that T = 4; to smoothen out seasonal variations we cannot use simple moving average with period T = 4 (because number is even), and if we use T = 5, one season (e.g. winter and next winter) would be counted twice. How to recover from this?
Answer
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Tags
#m249 #mathematics #open-university #statistics #time-series
Question
Suppose that the data are quarterly, so that T = 4; to smoothen out seasonal variations we cannot use simple moving average with period T = 4 (because number is even), and if we use T = 5, one season (e.g. winter and next winter) would be counted twice. How to recover from this?
Answer
Use T = 5 weighted average and weight down the season counted twice with 0.5 (relative to other periods' weights).
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