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Winsorizing

Winsorizing or winsorization is the transformation of statistics by limiting extreme values in the statistical data to reduce the effect of possibly spurious outliers. It is named after the engineer-turned-biostatistician Charles P. Winsor (1895–1951). The effect is the same as clipping in signal processing.

Applications, Explanation, and distinction from trimming/truncation & Uses

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Explanation, and distinction from trimming/truncation

TruncationCensoringWinsorized meanTruncated or trimmed meanWeighted average
6 related topics

Uses

Survey methodologyStock indexes
2 related topics

Coding methods

PythonSciPy
2 related topics

Overview

StatisticsExtreme valuesOutliersCharles P. WinsorClipping
9 related topics

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Overview

Explanation, and distinction from trimming/truncation

Uses

Coding methods

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Map overview Semantic statistics

Winsorizing

Nodes24
Edges23
Triples2
Avg. degree1.92
Density0.083333
Components1

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Winsorizing

Top relations

related to Explanation, and distinction from trimming/truncation · 2
Winsorizing → In, Note

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Important terminology

data statistics values outliers winsorization percentile winsorized trimmed 5th set 95th effect example see trimming 10 mean extreme 90 would

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Winsorizingrelated to Explanation, and distinction from trimming/truncationNote0.60section
Winsorizingrelated to Explanation, and distinction from trimming/truncationIn0.60section

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