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Ex 4E

Ex 4E. MEDIAN SMOOTHING . REVISION. Smoothing involves replacing the original time series with another one where most of the variation has been removed, in order to see if there is a secular trend. There are three basic smoothing techniques.

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Ex 4E

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  1. Ex 4E MEDIAN SMOOTHING

  2. REVISION • Smoothing involves replacing the original time series with another one where most of the variation has been removed, in order to see if there is a secular trend. There are three basic smoothing techniques. • (a) Moving-average smoothing works best with an odd number of points. For a 3-point smooth, one point is lost at either end of the time series. • (b) Moving-average smoothing with an even number of points is a 2-step process. First perform a 4-point moving average, then centre by averaging pairs of the 4-point smooth. For a 4-point centred smooth, two points are lost at each end of the time series.

  3. 4-POINT MOVING AVERAGE

  4. MEDIAN SMOOTHING • An alternative technique using the median of each group. • Use odd-point median smoothing as it doesn’t require any calculations. • Often id can be done directly on the graph of a time series. • Generally, the effect of median smoothing is to remove some random fluctuations. It performs poorly on cyclical or seasonal fluctuations-unless the size of the range being used (3, 5, 7..points) is chosen carefully.

  5. MEDIAN SMOOTHING FROM TABLE • For a 3-point medians, we look at each group of three points and choose the middle value. • Progress through the table one point at a time. As with other methods, points will be lost at the beginning and end of the table.

  6. EXAMPLE • Perform a 3-point median smoothing on the data in the table below. The table shows the cost of an airline ticket between Perth and Melbourne over an 8-month period. Construct a time-series plot from the data.

  7. MEDIAN SMOOTHING FROM A GRAPH • Perform a 3-point median smoothing on the graph of a time series below. The 1st data points are 12, 18, 16 — so median = 16. The 2nd data points are 18, 16, 8 — so median = 16. The 3rd data points are 16, 8, 12 — so median = 12. The 4th data points are 8, 12, 16 — so median = 12. The 5th data points are 12, 16, 12 — so median = 12 The 6th data points are 16, 12, 8 — so median = 12. The 7th data points are 12, 8, 10 — so median = 10. The 8th data points are 8, 10, 14 — so median = 10.

  8. Classwork/homework • Exercise 4E pg 178 Q’s 1-6.

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