Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/17504
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorBRUCKERS, Liesbeth-
dc.contributor.authorTaye, Mekdes Abera-
dc.date.accessioned2014-10-09T09:14:00Z-
dc.date.available2014-10-09T09:14:00Z-
dc.date.issued2013-
dc.identifier.urihttp://hdl.handle.net/1942/17504-
dc.format.mimetypeApplication/pdf-
dc.languageen-
dc.language.isoen-
dc.publishertUL-
dc.titleHuman biomonitoring: multicollinearity-
dc.typeTheses and Dissertations-
local.format.pages0-
local.bibliographicCitation.jcatT2-
dc.description.notesMaster of Statistics-Epidemiology & Public Health Methodology-
local.type.specifiedMaster thesis-
item.accessRightsOpen Access-
item.fullcitationTaye, Mekdes Abera (2013) Human biomonitoring: multicollinearity.-
item.fulltextWith Fulltext-
item.contributorTaye, Mekdes Abera-
Appears in Collections:Master theses
Files in This Item:
File Description SizeFormat 
09284462012093.pdf654.05 kBAdobe PDFView/Open
Show simple item record

Google ScholarTM

Check


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