Skip navigation
Skip navigation

State-space models for longitudinal data

dc.contributor.authorRodriguez, Veronica Boero
dc.date.accessioned2018-11-22T00:07:32Z
dc.date.available2018-11-22T00:07:32Z
dc.date.copyright2004
dc.identifier.otherb2294379
dc.identifier.urihttp://hdl.handle.net/1885/151197
dc.format.extent75 leaves
dc.language.isoen_AU
dc.rightsAuthor retains copyright
dc.subject.lccQA280.R63 2004
dc.subject.lcshTime-series analysis Mathematical models
dc.subject.lcshState-space methods
dc.subject.lcshKalman filtering
dc.subject.lcshLongitudinal method
dc.titleState-space models for longitudinal data
dc.typeThesis (MPhil)
local.description.notesThesis (M. Phil.)--Australian National University, 2004
dc.date.issued2004
local.type.statusAccepted Version
local.identifier.doi10.25911/5d5156eeb91f5
dc.date.updated2018-11-21T07:31:22Z
dcterms.accessRightsOpen Access
local.mintdoimint
CollectionsOpen Access Theses

Download

File Description SizeFormat Image
b22943791-Rodriguez_V.pdf80.03 MBAdobe PDFThumbnail


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

Updated:  22 January 2019/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator