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Everything about Geometric standard deviation

Statistical measure

In probability theory and statistics, the geometric standard deviation (GSD) describes how spread out are a set of numbers whose preferred average is the geometric mean. For such data, it may be preferred to the more usual standard deviation. Note that unlike the usual arithmetic standard deviation, the geometric standard deviation is a multiplicative factor, and thus is dimensionless, rather than having the same dimension as the input values. Thus, the geometric standard deviation may be more appropriately called geometric SD factor. When using geometric SD factor in conjunction with geometric mean, it should be described as "the range from to, and one cannot add/subtract "geometric SD factor" to/from geometric mean. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Geometric standard deviationA 5-minute orientation
  2. Skim a recent paper: Measuring Transportability and Standard Geometric Deviation of Transportability of Radioactive Aerosols Using a Cascade ImpactorInfluential work since 2022
  3. Pick up a classic book: Cartesian meditationsThe most-reprinted book on the subject
  4. Read the landmark paper: Group AHP framework based on geometric standard deviation and interval group pairwise comparisonsCited 29 times
  5. Go sideways: Mean log deviationA closely related topic
  6. Go sideways: Coefficient of variationA closely related topic

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

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