Robust Estimation through Schoenberg transformations

Details Robust Estimation through Schoenberg transformations Robust Estimation through Schoenberg transformations

2011-02-21

arxiv.org/abs/1102.4359v1

Mathematics

Statistics Theory

Scientific paper

Schoenberg transformations, mapping Euclidean configurations into Euclidean configurations, define in turn a transformed inertia, whose minimization produces robust location estimates. The procedure only depends upon Euclidean distances between observations, and applies equivalently to univariate and multivariate data. The choice of the family of transformations and their parameters defines a flexible location strategy, generalizing M-estimators. Two regimes of solutions are identified. Theoretical results on their existence and stability are provided, and illustrated on two data sets.

Affiliated with

Also associated with

No associations

Rating

Robust Estimation through Schoenberg transformations does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Robust Estimation through Schoenberg transformations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Robust Estimation through Schoenberg transformations will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-557620