Winsorized mean
- noun
- /ˈwɪnzəˌraɪzd miːn/
- Specialized
- After removing the most extreme values, the Winsorized mean provided a more robust estimate of central tendency.
Examples
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Researchers often use the Winsorized mean to minimize the effect of outliers in data analysis.
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The Winsorized mean can be particularly useful when the data contains several unusually high or low observations.
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The Winsorized mean provides a more robust average.
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In our analysis, we calculated the Winsorized means for each group.
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Researchers often use the Winsorized mean to minimize the effect of outliers in data analysis.
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After removing the most extreme values, the Winsorized mean provided a more robust estimate of central tendency.
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The Winsorized mean can be particularly useful when the data contains several unusually high or low observations.
How Robust
Surface Forms
Morphology
Winsorized + mean
While 'mean' clearly indicates an average, 'Winsorized' is an eponymous, technical adjective whose specific procedure (replacing extreme values before averaging) cannot be inferred from the name or the suffix '-ized' by an average B1 learner. The compound therefore only signals a modified mean but gives no predictable information about how it is modified, making it opaque without statistical knowledge.
Etymology
Winsorized mean is named for a practical trick to make averages safer from extreme numbers. To make a Winsorized mean, you replace the biggest and smallest values with the nearest remaining values so the mean is not pulled by 'outliers'.