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<p>[QUOTE="calcol, post: 2807961, member: 77639"]There are a number of ways of handling the ends of a data series with regard to averaging. Let's assume no data will be used before the start or after the end, and if the end is the present date, obviously no data will be available beyond it. If the smoothing interval is 6, then the first and last three data points are problematic. One way is to simply use them as is. Another is to use 1/2 of the interval, averaging data points away from the ends (i.e. toward the middle). So for a smoothing interval of 6, the first data point would be replaced by the average of it and the next two data points; the last would be replaced by the average of it and the two previous data points. Another approach is to use the full number (six in the example) going forward from the first data point and back from the last data point. Any way you do it, the beginning and end of a smoothed data series will be a little noisy or be overly biased by its neighbors going forward (for first few data points) or going backward (for last few data points).</p><p><br /></p><p>If the averaging interval is much smaller than the total span, which is usual and proper, then the smoothed curve should thread through the middle of a plot of the unsmoothed data. However, if there are a few extreme outliers in the raw data and they are extreme in the same direction, the smoothed curve may float above or below the majority of the raw data. There are special techniques for eliminating or decreasing the effect of outliers.</p><p><br /></p><p>Cal[/QUOTE]</p><p><br /></p>
[QUOTE="calcol, post: 2807961, member: 77639"]There are a number of ways of handling the ends of a data series with regard to averaging. Let's assume no data will be used before the start or after the end, and if the end is the present date, obviously no data will be available beyond it. If the smoothing interval is 6, then the first and last three data points are problematic. One way is to simply use them as is. Another is to use 1/2 of the interval, averaging data points away from the ends (i.e. toward the middle). So for a smoothing interval of 6, the first data point would be replaced by the average of it and the next two data points; the last would be replaced by the average of it and the two previous data points. Another approach is to use the full number (six in the example) going forward from the first data point and back from the last data point. Any way you do it, the beginning and end of a smoothed data series will be a little noisy or be overly biased by its neighbors going forward (for first few data points) or going backward (for last few data points). If the averaging interval is much smaller than the total span, which is usual and proper, then the smoothed curve should thread through the middle of a plot of the unsmoothed data. However, if there are a few extreme outliers in the raw data and they are extreme in the same direction, the smoothed curve may float above or below the majority of the raw data. There are special techniques for eliminating or decreasing the effect of outliers. Cal[/QUOTE]
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