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Orthogonal Block Structure and Uniformly Best Linear Unbiased Estimators

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dc.contributor.authorFerreira, Sandra S.
dc.contributor.authorFerreira, Dário
dc.contributor.authorNunes, Célia
dc.contributor.authorCarvalho, Francisco
dc.contributor.authorMexia, João T.
dc.date.accessioned2020-02-06T11:02:28Z
dc.date.available2020-02-06T11:02:28Z
dc.date.issued2019
dc.description.abstractModels with orthogonal block structure, OBS, have variance covariance matrices that are linear combinations [...]pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-030-17519-1_7pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/9054
dc.language.isoengpt_PT
dc.publisherSpringerpt_PT
dc.subjectBest linear unbiased estimatorpt_PT
dc.subjectLeast square estimatorspt_PT
dc.subjectOrthogonal block structurept_PT
dc.subjectUniformly minimum variance unbiased estimatorpt_PT
dc.titleOrthogonal Block Structure and Uniformly Best Linear Unbiased Estimatorspt_PT
dc.typebook part
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FMAT%2F00212%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FMAT%2F00297%2F2013/PT
oaire.citation.endPage98pt_PT
oaire.citation.startPage89pt_PT
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project.funder.identifierhttp://doi.org/10.13039/501100001871
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project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typebookPartpt_PT
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