Properties of BLUEs in full versus small linear models

cris.virtual.author-orcid0000-0001-5473-3419
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cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcide9e0b41e-e4f0-4842-94d4-95738eaea207
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
dc.abstract.enIn this article we consider the partitioned linear model M12={y, X1β1+X2β2, V} and the corresponding small model M1={y, X1β1, V}. We focus on comparing the best linear unbiased estimators, BLUEs, of X1β1 under M12 and M1. In other words, we are interested in the effect of adding regressors on the BLUEs. Particular attention is paid on the consistency of the model, that is, whether the realized value of the response vector y belongs to the column space of (X1:V) or (X1:X2:V).
dc.affiliationWydział Rolnictwa, Ogrodnictwa i Bioinżynierii
dc.affiliation.instituteKatedra Metod Matematycznych i Statystycznych
dc.contributor.authorHaslett, Stephen J.
dc.contributor.authorMarkiewicz, Augustyn
dc.contributor.authorPuntanen, Simo
dc.date.accessioned2025-11-12T13:17:49Z
dc.date.available2025-11-12T13:17:49Z
dc.date.issued2022
dc.description.bibliographybibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if0,6
dc.description.number21
dc.description.points40
dc.description.volume52
dc.identifier.doi10.1080/03610926.2022.2052899
dc.identifier.eissn1532-415X
dc.identifier.issn0361-0926
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/5851
dc.languageen
dc.pbn.affiliationagriculture and horticulture
dc.relation.ispartofCommunications in Statistics - Theory and Methods
dc.relation.pages7684-7698
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.subject.enBest linear unbiasedestimator
dc.subject.enBLUE
dc.subject.enlöwner ordering
dc.subject.enpartitioned linear model
dc.subject.enadding regressors
dc.titleProperties of BLUEs in full versus small linear models
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue21
oaire.citation.volume52