Construct · 1 fields · 1 citations
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In statistics, to trim a sample is to discard a fixed fraction of the most extreme values at each end before computing a statistic; the trimmed mean, for instance, averages what remains after cutting, say, the top and bottom 10 percent. Trimming is a basic tool of robust statistics: it limits the influence of outliers and heavy tails that would distort an ordinary mean. Huber and Ronchetti's Robust statistics treats trimmed estimators among robust measures of location. The referent is the deliberate removal of extreme observations to stabilise an estimate, and it shares only the word with an aircraft balanced for hands-off flight.[1]
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