论文信息 - The geometry of the affine invariant multivariate sign and rank methods

The geometry of the affine invariant multivariate sign and rank methods

For k-variate data sets, hyperplanes determined by the k-subsets of observations and the normals of these hyperplanes are discussed. Their use in defining multi-variate invariant concepts of sign and rank and multivariate median (based on the Oja criterion) as well as in the computation of these methods is illustrated.

Hannu Oja | Thomas P. Hettmansperger | Jyrki Möttönen

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