Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
414978 | Computational Statistics & Data Analysis | 2014 | 13 Pages |
Abstract
The Projection Congruent Subset (PCS) is a new method for finding multivariate outliers. Like many other outlier detection procedures, PCS searches for a subset which minimizes a criterion. The difference is that the new criterion was designed to be insensitive to the outliers. PCS is supported by FastPCS, a fast and affine equivariant algorithm which is also detailed. Both an extensive simulation study and a real data application from the field of engineering show that FastPCS performs better than its competitors.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Kaveh Vakili, Eric Schmitt,