Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/31828
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorMolenberghs, Geert-
dc.contributor.advisorVerbeke, Geert-
dc.contributor.authorFLOREZ POVEDA, Alvaro-
dc.date.accessioned2020-08-25T12:21:57Z-
dc.date.available2020-08-25T12:21:57Z-
dc.date.issued2020-
dc.date.submitted2020-08-20T09:44:14Z-
dc.identifier.urihttp://hdl.handle.net/1942/31828-
dc.language.isoen-
dc.titleComputationally Efficient Estimators for Large Clustered Data and Related Topics-
dc.typeTheses and Dissertations-
local.format.pages211-
local.bibliographicCitation.jcatT1-
local.type.refereedRefereed-
local.type.specifiedPhd thesis-
local.provider.typePdf-
local.uhasselt.uhpubyes-
item.embargoEndDate2025-08-07-
item.fullcitationFLOREZ POVEDA, Alvaro (2020) Computationally Efficient Estimators for Large Clustered Data and Related Topics.-
item.contributorFLOREZ POVEDA, Alvaro-
item.accessRightsEmbargoed Access-
item.fulltextWith Fulltext-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
Ordner1.pdf
  Until 2025-08-07
4.8 MBAdobe PDFView/Open    Request a copy
Show simple item record

Page view(s)

72
checked on May 19, 2022

Download(s)

40
checked on May 19, 2022

Google ScholarTM

Check


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