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Positive semidefiniteness of estimated covariance matrices in linear models for sample survey data

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dc.contributor.authorHaslett, Stephen
dc.date.accessioned2018-11-29T22:57:22Z
dc.date.available2018-11-29T22:57:22Z
dc.date.issued2016
dc.date.updated2018-11-29T08:17:34Z
dc.description.abstractDescriptive analysis of sample survey data estimates means, totals and their variances in a design framework
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn2300-7451
dc.identifier.urihttp://hdl.handle.net/1885/153846
dc.publisherDe Gruyter
dc.sourceSpecial Matrices
dc.titlePositive semidefiniteness of estimated covariance matrices in linear models for sample survey data
dc.typeJournal article
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue1
local.bibliographicCitation.lastpage224
local.bibliographicCitation.startpage218
local.contributor.affiliationHaslett, Stephen, Administrative Division, ANU
local.contributor.authoruidHaslett, Stephen, u1015268
local.description.notesImported from ARIES
local.identifier.absfor010405 - Statistical Theory
local.identifier.ariespublicationu5185386xPUB3
local.identifier.citationvolume4
local.identifier.doi10.1515/spma-2016-0020
local.identifier.scopusID2-s2.0-85011961761
local.identifier.thomsonID000413783100020
local.type.statusPublished Version

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