Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/30675
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJANSSEN, Paul-
dc.contributor.authorSWANEPOEL, Jan-
dc.contributor.authorVERAVERBEKE, Noel-
dc.date.accessioned2020-03-05T14:11:09Z-
dc.date.available2020-03-05T14:11:09Z-
dc.date.issued2020-
dc.date.submitted2020-03-05T14:02:21Z-
dc.identifier.citationSTATISTICS & PROBABILITY LETTERS, 158 (Art N° 108663)-
dc.identifier.issn0167-7152-
dc.identifier.urihttp://hdl.handle.net/1942/30675-
dc.description.abstractKernel density estimators have been studied in great detail. In this note a new family of kernels, depending on a parameter c, is obtained by kernel-smoothing an initial kernel density estimator. Under certain conditions, we show that nonparametric density estimators based on such kernels outperform the initial estimator in terms of minimized asymptotic mean integrated squared error and in kernel efficiency.-
dc.description.sponsorshipWe thank the associate editor and the two reviewers for their valuable comments (leading e.g. to Example 3) and good suggestions to improve the original manuscript.-
dc.language.isoen-
dc.publisherELSEVIER-
dc.rights2019 Elsevier B.V. All rights reserved.-
dc.subject.otherAsymptotic mean integrated squared error-
dc.subject.otherKernel density estimator-
dc.subject.otherKernel efficiency-
dc.titleA note on the behaviour of a kernel-smoothed kernel density estimator-
dc.typeJournal Contribution-
dc.identifier.volume158-
local.format.pages7-
local.bibliographicCitation.jcatA1-
dc.description.notesJanssen, P (reprint author), Hasselt Univ, Ctr Stat, Agr Laan, B-3590 Diepenbeek, Belgium.-
dc.description.notespaul.janssen@uhasselt.be; Jan.Swanepoel@nwu.ac.za;-
dc.description.notesnoel.veraverbeke@uhasselt.be-
dc.description.otherJanssen, P (reprint author), Hasselt Univ, Ctr Stat, Agr Laan, B-3590 Diepenbeek, Belgium. paul.janssen@uhasselt.be; Jan.Swanepoel@nwu.ac.za; noel.veraverbeke@uhasselt.be-
local.publisher.placeRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.bibliographicCitation.artnr108663-
dc.source.typeArticle-
dc.identifier.doi10.1016/j.spl.2019.108663-
dc.identifier.isiWOS:000509612500023-
dc.identifier.eissn1879-2103-
local.provider.typewosris-
local.uhasselt.uhpubyes-
local.uhasselt.internationalyes-
item.validationecoom 2021-
item.fulltextWith Fulltext-
item.fullcitationJANSSEN, Paul; SWANEPOEL, Jan & VERAVERBEKE, Noel (2020) A note on the behaviour of a kernel-smoothed kernel density estimator. In: STATISTICS & PROBABILITY LETTERS, 158 (Art N° 108663).-
item.accessRightsRestricted Access-
item.contributorJANSSEN, Paul-
item.contributorSWANEPOEL, Jan-
item.contributorVERAVERBEKE, Noel-
crisitem.journal.issn0167-7152-
crisitem.journal.eissn1879-2103-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
janssen.pdf
  Restricted Access		Published version330.58 kBAdobe PDFView/Open    Request a copy
Show simple item record

WEB OF SCIENCETM
Citations

3
checked on Oct 13, 2024

Page view(s)

80
checked on Jun 24, 2022

Download(s)

32
checked on Jun 24, 2022

Google ScholarTM

Check

Altmetric


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