Finite Sample Breakdown of PCS
classification
🧮 math.ST
stat.TH
keywords
breakdownfinitemultivariatesampleaffinecongruentconstructderive
read the original abstract
The Projection Congruent Subset (PCS) is new method for finding multivariate outliers. PCS returns an outlyingness index which can be used to construct affine equivariant estimates of multivariate location and scatter. In this note, we derive the finite sample breakdown point of these estimators.
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