Abstract
We gather several results on the eigenvalues of the spatial sign covariance matrix of an elliptical distribution. It is shown that the eigenvalues are a one-to-one function of the eigenvalues of the shape matrix and that they are closer together than the latter. We further provide a one-dimensional integral representation of the eigenvalues, which facilitates their numerical computation.
Original language | English |
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Pages (from-to) | 80-85 |
Number of pages | 6 |
Journal | Statistics and Probability Letters |
Volume | 111 |
Early online date | 21 Jan 2016 |
DOIs | |
Publication status | Published - Apr 2016 |
Bibliographical note
AcknowledgmentsAlexander Dürre was supported in part by the Collaborative Research Grant 823 of the German Research Foundation. David E. Tyler was supported in part by the National Science Foundation grant DMS-1407751. A visit of Daniel Vogel to David E. Tyler was supported by a travel grant from the Scottish Universities Physics Alliance. The authors are grateful to the editors and referees for their constructive comments.
Keywords
- 62H12
- 62G20
- 62H11
- Elliptical distribution
- Spatial Kendall’s tau matrix
- spatial sign covariance matrix