Small area estimation using linear mixed models with heterogeneous covariance structures of random effects

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dc.contributor.author	Pereira, Luis Nobre
dc.contributor.author	Coelho, Pedro S.
dc.date.accessioned	2012-02-20T17:33:30Z
dc.date.available	2012-02-20T17:33:30Z
dc.date.issued	2007
dc.date.updated	2012-02-18T17:26:39Z
dc.description.abstract	The problem of Small Area Estimation is about how to produce reliable estimates of domain characteristics when the sample sizes within the domain is very small ou even zero.
dc.identifier.citation	56th Session of the International Statistical Institute. Bulletin of the International Statistical Institute, Lisboa, 2007.	por
dc.identifier.issn	978-972-673-992-0
dc.identifier.other	AUT: LMP01693;
dc.identifier.uri	http://hdl.handle.net/10400.1/906
dc.language.iso	eng	por
dc.peerreviewed	yes	por
dc.subject	Small Area Estimation	por
dc.subject	EBLUP	por
dc.subject	Chronological autocorrelation	por
dc.subject	Rao-Yu model	por
dc.subject	Linear mixed models	por
dc.title	Small area estimation using linear mixed models with heterogeneous covariance structures of random effects	por
dc.type	conference object
dspace.entity.type	Publication
person.familyName	Nobre Pereira
person.givenName	Luis
person.identifier.ciencia-id	6114-E329-972E
person.identifier.orcid	0000-0003-0917-7163
rcaap.rights	openAccess	por
rcaap.type	conferenceObject	por
relation.isAuthorOfPublication	090a6604-b604-414b-a8d2-c4dc731b7b51
relation.isAuthorOfPublication.latestForDiscovery	090a6604-b604-414b-a8d2-c4dc731b7b51

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