| dc.contributor.author | Borrajo García, María Isabel |
| dc.contributor.author | González Manteiga, Wenceslao |
| dc.contributor.author | Martínez Miranda, María Dolores |
| dc.date.accessioned | 2019-11-28T11:15:03Z |
| dc.date.available | 2019-11-28T11:15:03Z |
| dc.date.issued | 2017 |
| dc.identifier.citation | Borrajo, M. I., González-Manteiga, W., & Martínez-Miranda, M. D. (2017). Bandwidth selection for kernel density estimation with length-biased data. Journal of Nonparametric Statistics, 29(3), 636-668. |
| dc.identifier.issn | 1048-5252 |
| dc.identifier.uri | http://hdl.handle.net/10347/20313 |
| dc.description | This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Nonparametric Statistics on 23 Jun 2017, available online: https://doi.org/10.1080/10485252.2017.1339309. |
| dc.description.abstract | Length-biased data are a particular case of weighted data, which arise in many situations: biomedicine, quality control or epidemiology among others. In this paper we study the theoretical properties of kernel density estimation in the context of length-biased data, proposing two consistent bootstrap methods that we use for bandwidth selection. Apart from the bootstrap bandwidth selectors we suggest a rule-of-thumb. These bandwidth selection proposals are compared with a least-squares cross-validation method. A simulation study is accomplished to understand the behaviour of the procedures in finite samples |
| dc.description.sponsorship | The authors acknowledge the support fromthe SpanishMinistry of Economy and Competitiveness, through grant number MTM2013-41383P, which includes support from the European Regional Development Fund (ERDF). Support from the IAP network StUDyS (P7/06) from Belgian Science Policy, is also acknowledged. M.I. Borrajo has been supported by FPU (FPU2013/00473) from the Spanish Ministry of Education |
| dc.language.iso | eng |
| dc.publisher | Taylor & Francis |
| dc.subject | Bootstrap |
| dc.subject | Rule-of-thumb |
| dc.subject | Cross-validation |
| dc.subject | Nonparametric |
| dc.subject | Weighted data |
| dc.title | Bandwidth selection for kernel density estimation with length-biased data |
| dc.type | info:eu-repo/semantics/article |
| dc.identifier.DOI | 10.1080/10485252.2017.1339309 |
| dc.relation.publisherversion | https://doi.org/10.1080/10485252.2017.1339309 |
| dc.type.version | info:eu-repo/semantics/publishedVersion |
| dc.identifier.e-issn | 1029-0311 |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess |
| dc.contributor.affiliation | Universidade de Santiago de Compostela. Departamento de Estatística, Análise Matemática e Optimización |
| dc.description.peerreviewed | SI |
