Matches in UGent Biblio for { <https://biblio.ugent.be/publication/1241653#aggregation> ?p ?o. }
Showing items 1 to 34 of
34
with 100 items per page.
- aggregation classification "A1".
- aggregation creator person.
- aggregation creator person.
- aggregation date "2010".
- aggregation format "application/pdf".
- aggregation hasFormat 1241653.bibtex.
- aggregation hasFormat 1241653.csv.
- aggregation hasFormat 1241653.dc.
- aggregation hasFormat 1241653.didl.
- aggregation hasFormat 1241653.doc.
- aggregation hasFormat 1241653.json.
- aggregation hasFormat 1241653.mets.
- aggregation hasFormat 1241653.mods.
- aggregation hasFormat 1241653.rdf.
- aggregation hasFormat 1241653.ris.
- aggregation hasFormat 1241653.txt.
- aggregation hasFormat 1241653.xls.
- aggregation hasFormat 1241653.yaml.
- aggregation isPartOf urn:issn:1862-5347.
- aggregation language "eng".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Mathematics and Statistics".
- aggregation title "Inference for robust canonical variate analysis".
- aggregation abstract "We consider the problem of optimally separating two multivariate populations. Robust linear discriminant rules can be obtained by replacing the empirical means and covariance in the classical discriminant rules by S or MM-estimates of location and scatter. We propose to use a fast and robust bootstrap method to obtain inference for such a robust discriminant analysis. This is useful since classical bootstrap methods may be unstable as well as extremely time-consuming when robust estimates such as S or MM-estimates are involved. In particular, fast and robust bootstrap can be used to investigate which variables contribute significantly to the canonical variate, and thus the discrimination of the classes. Through bootstrap, we can also examine the stability of the canonical variate. We illustrate the method on some real data examples.".
- aggregation authorList BK428641.
- aggregation endPage "197".
- aggregation issue "2-3".
- aggregation startPage "181".
- aggregation volume "4".
- aggregation aggregates 1241667.
- aggregation aggregates 1241684.
- aggregation isDescribedBy 1241653.
- aggregation similarTo s11634-010-0063-6.
- aggregation similarTo LU-1241653.