Matches in UGent Biblio for { <https://biblio.ugent.be/publication/715129#aggregation> ?p ?o. }
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- aggregation classification "A1".
- aggregation creator B192854.
- aggregation creator B192855.
- aggregation creator person.
- aggregation date "2008".
- aggregation hasFormat 715129.bibtex.
- aggregation hasFormat 715129.csv.
- aggregation hasFormat 715129.dc.
- aggregation hasFormat 715129.didl.
- aggregation hasFormat 715129.doc.
- aggregation hasFormat 715129.json.
- aggregation hasFormat 715129.mets.
- aggregation hasFormat 715129.mods.
- aggregation hasFormat 715129.rdf.
- aggregation hasFormat 715129.ris.
- aggregation hasFormat 715129.txt.
- aggregation hasFormat 715129.xls.
- aggregation hasFormat 715129.yaml.
- aggregation isPartOf urn:issn:1061-8600.
- aggregation language "eng".
- aggregation subject "Science General".
- aggregation title "The fast-tau estimator for regression".
- aggregation abstract "Yohai and Zamar's (1988) tau-estimators of regression have excellent statistical properties but are nevertheless rarely used in practice due to their lack of software implementation and the general impression that tau-estimators are difficult to approximate. We will show, however, that the computational difficulties we must overcome to approximate tau-estimators are similar in nature to those of the more popular S-estimators. In particular, we implement an approximating algorithm based on random resampling. The main goal of this paper is to compare this random resampling approach with some alternative heuristic search algorithms. We show that the former is not only simpler, but that when enhanced by local improvement steps it generally outperforms the considered heuristic search algorithms, even when these heuristic algorithms also incorporate local improvement steps. Additionally, we show that the random resampling algorithm for approximating tau-estimators has favourable statistical properties compared to the analogous and widely used algorithms for S- and least trimmed squares estimators.".
- aggregation authorList BK453588.
- aggregation endPage "682".
- aggregation issue "3".
- aggregation startPage "659".
- aggregation volume "17".
- aggregation isDescribedBy 715129.
- aggregation similarTo 106186008X343785.
- aggregation similarTo LU-715129.