Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/6409
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAl-Kenani, A-
dc.contributor.authorYu, K-
dc.date.accessioned2012-04-27T11:24:07Z-
dc.date.available2012-04-27T11:24:07Z-
dc.date.issued2012-
dc.identifier.citationJournal of Probability and Statistics, 2012: Artn. 138450, 2012en_US
dc.identifier.issn1687-952X-
dc.identifier.urihttp://www.hindawi.com/journals/jps/2012/138450/en
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/6409-
dc.descriptionCopyright © 2012 Ali Al-Kenani and Keming Yu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The article is available through the Brunel Open Access Publishing Fund.en_US
dc.description.abstractWe propose a cross-validation method suitable for smoothing of kernel quantile estimators. In particular, our proposed method selects the bandwidth parameter, which is known to play a crucial role in kernel smoothing, based on unbiased estimation of a mean integrated squared error curve of which the minimising value determines an optimal bandwidth. This method is shown to lead to asymptotically optimal bandwidth choice and we also provide some general theory on the performance of optimal, data-based methods of bandwidth choice. The numerical performances of the proposed methods are compared in simulations, and the new bandwidth selection is demonstrated to work very well.en_US
dc.language.isoenen_US
dc.publisherHindawi Publishing Corporationen_US
dc.titleNew bandwidth selection for kernel quantile estimatorsen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1155/2012/138450-
pubs.organisational-data/Brunel-
pubs.organisational-data/Brunel/Brunel Active Staff-
pubs.organisational-data/Brunel/Brunel Active Staff/School of Info. Systems, Comp & Maths-
pubs.organisational-data/Brunel/Brunel Active Staff/School of Info. Systems, Comp & Maths/Maths-
pubs.organisational-data/Brunel/University Research Centres and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute for Ageing Studies-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups/Centre for the Analysis of Risk and Optimisation Modelling Applications-
Appears in Collections:Publications
Brunel OA Publishing Fund
Dept of Mathematics Research Papers
Mathematical Sciences

Files in This Item:
File Description SizeFormat 
Fulltext.pdf1.13 MBAdobe PDFView/Open


Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.