Robust restricted maximum likelihood in mixed linear models

dc.contributor.authorRichardson, A. M.en
dc.contributor.authorWelsh, A. H.en
dc.date.accessioned2025-06-27T22:41:31Z
dc.date.available2025-06-27T22:41:31Z
dc.date.issued1995en
dc.description.abstractDefinitions of robust maximum likelihood (robust ML) and robust restricted maximum likelihood (robust REML) are introduced, and the definitions are applied to data from biological and chemical experiments. A simulation study is undertaken to investigate the asymptotic properties of robust ML and robust REML in small samples and to examine the advantages of using robust methods.en
dc.description.statusPeer-revieweden
dc.format.extent11en
dc.identifier.issn0006-341Xen
dc.identifier.otherORCID:/0000-0001-7084-1524/work/162951184en
dc.identifier.scopus0029566889en
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=0029566889&partnerID=8YFLogxKen
dc.identifier.urihttps://hdl.handle.net/1885/733765258
dc.language.isoenen
dc.sourceBiometricsen
dc.subjectComponents of varianceen
dc.subjectHierarchical modelsen
dc.subjectMaximum likelihooden
dc.subjectMixed modelen
dc.subjectREMLen
dc.subjectRobustnessen
dc.subjectWeighted least squaresen
dc.titleRobust restricted maximum likelihood in mixed linear modelsen
dc.typeJournal articleen
dspace.entity.typePublicationen
local.bibliographicCitation.lastpage1439en
local.bibliographicCitation.startpage1429en
local.contributor.affiliationRichardson, A. M.; School of Mathematics and Statisticsen
local.contributor.affiliationWelsh, A. H.; Research School of Finance, Actuarial Studies and Statistics, Research School of Finance, Actuarial Studies & Statistics, ANU College of Business & Economics, The Australian National Universityen
local.identifier.citationvolume51en
local.identifier.doi10.2307/2533273en
local.identifier.pure9fa18b10-aa59-4ef9-b8c1-32e78996b804en
local.identifier.urlhttps://www.scopus.com/pages/publications/0029566889en
local.type.statusPublisheden

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