gives the mean of the bivariate data matrix after dropping a fraction f of the outermost vectors.


  • To use , you first need to load the Multivariate Statistics Package using Needs["MultivariateStatistics`"].
  • gives a robust estimate of the mean by excluding extreme values.
  • The outlying vectors are removed by repeatedly peeling off layers of convex hulls from the data until at least a fraction f have been removed.
  • interpolates between the means of the points remaining before and after the last layer is removed.
  • is equivalent to Mean[matrix].
  • approaches ConvexHullMedian[matrix] as f approaches 1.

ExamplesExamplesopen allclose all

Basic Examples (1)Basic Examples (1)

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Multivariate trimmed mean of bivariate data:

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