Moving mean

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A specified moving average method used to smooth time-series data. It forms a new smoothed series in which the irregular component is reduced.

If the time series has a seasonal component a moving mean may be used to eliminate the seasonal component.

Each value in the time series is replaced by the mean of the value and a number of neighbouring values. The number of values used to calculate a moving mean depends on the type of time-series data. For weekly data, seven values are used; for monthly data, 12 values are used; and for quarterly data, four values are used. If the number of values used is even, the moving mean must be centred by taking two-term moving means of each pair of consecutive moving means, forming a series of centred moving means. See Example 2 for an illustration of this technique.

In terms of an additive model for time-series data, Y = T + S + C + I, where
        T represents the trend component,
        S represents the seasonal component,
       C represents the cyclical component, and
        I represents the irregular component;
the smoothed series = T + C.
 
Example 1 (Weekly data)

Daily sales, in thousands of dollars, for a hardware store were recorded for 21 days. There is reasonably systematic variation over each 7-day period and so moving means of order 7 have been calculated to attempt to eliminate this seasonal component. The moving mean for the first Thursday is calculated by   =148.14

Day Sales
($000)
Moving mean
($000)
Mon
Tue
Wed
Thu
Fri
Sat
Sun
Mon
Tue
Wed
Thu
Fri
Sat
Sun
Mon
Tue
Wed
Thu
Fri
Sat
Sun
86
125
115
150
168
291
102
83
118
112
141
171
282
99
82
117
108
155
165
271
88
148.14
147.71
146.71
146.29
145.00
145.43
144.14
143.71
143.57
143.43
142.86
144.86
144.00
142.43
140.86

The raw data and the moving means are displayed below.

Example 2 (Quarterly data)

Statistics New Zealand’s Economic Survey of Manufacturing provided the following data on actual operating income for the manufacturing sector in New Zealand. There is reasonably systematic variation over each 4-quarter period and so moving means of order 4 have been calculated to attempt to eliminate this seasonal component. However these moving means do not align with the quarters; the moving means are not centred. To align the moving means with the quarters, each pair of moving means is averaged to form centred moving means.

The first moving mean (between Mar-05 and Dec-05) is calculated by
  = 17531
The centred moving mean for Sep-05 is calculated by   = 17548.25

Quarter Operating
Income
($millions)
Moving
mean
($millions)
Centred
moving mean
($millions)
Mar-05

Jun-05

Sep-05

Dec-05

Mar-06

Jun-06

Sep-06

Dec-06

Mar-07

Jun-07

Sep-07

Dec-07

17322

17696

17060

18046

17460

19034

18245

18866

18174

19464

18633

20616

17531.00

17565.50

17900.00

18196.25

18401.25

18579.75

18687.25

18784.25

19221.75

 

17548.250

17732.750

18048.125

18298.750

18490.500

18633.500

18735.750

19003.000

 

The raw data and the centred moving means are displayed below. Note that M, J, S and D indicate quarter years ending in March, June, September and December respectively.

See: moving average

Curriculum achievement objectives reference
Statistical investigation: (Level 8)