Publication: Estimation of a quadratic regression functional using the sinc kernel
| dc.bibliographiccitation.firstpage | 712 | |
| dc.bibliographiccitation.issue | 3 | |
| dc.bibliographiccitation.journal | Journal of Statistical Planning and Inference | |
| dc.bibliographiccitation.lastpage | 719 | |
| dc.bibliographiccitation.volume | 137 | |
| dc.contributor.author | Bissantz, Nicolai | |
| dc.contributor.author | Holzmann, Hajo | |
| dc.date.accessioned | 2018-11-07T11:04:37Z | |
| dc.date.available | 2018-11-07T11:04:37Z | |
| dc.date.issued | 2007 | |
| dc.description.abstract | We use the sinc kernel to construct an estimator for the integrated squared regression function. Asymptotic normality of the estimator at different rates is established, depending on whether the regression function vanishes or not. (c) 2006 Elsevier B.V. All rights reserved. | |
| dc.identifier.doi | 10.1016/j.jspi.2006.06.004 | |
| dc.identifier.isi | 000242706300007 | |
| dc.identifier.uri | https://resolver.sub.uni-goettingen.de/purl?gro-2/51884 | |
| dc.notes.status | zu prüfen | |
| dc.notes.submitter | Najko | |
| dc.publisher | Elsevier Science Bv | |
| dc.relation.issn | 0378-3758 | |
| dc.title | Estimation of a quadratic regression functional using the sinc kernel | |
| dc.type | journal_article | |
| dc.type.internalPublication | yes | |
| dc.type.peerReviewed | yes | |
| dc.type.status | published | |
| dspace.entity.type | Publication |