Publication
Maximum Likelihood Estimation Methods for Variance Components in Linear Non-Orthogonal Small Size Design Models
| dc.contributor.author | Ferreira, Dário | |
| dc.contributor.author | Ferreira, Sandra S. | |
| dc.contributor.author | Nunes, Célia | |
| dc.contributor.author | Mexia, João T. | |
| dc.date.accessioned | 2020-02-10T11:54:32Z | |
| dc.date.available | 2020-02-10T11:54:32Z | |
| dc.date.issued | 2010 | |
| dc.description.abstract | We compare four Maximum Likelihood Estimation methods for estimating variance components in normal linear mixed models, in the case of unbalanced small size design models: The Newton-Raphson, the Triple Minimization, the Gradient and a method where the starting points for the Newton-Raphson are the estimates obtained with the Triple Minimization method. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.doi | 10.1063/1.3497905 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.6/9168 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.subject | Normal linear mixed models | pt_PT |
| dc.subject | Variance components | pt_PT |
| dc.subject | Maximum likelihood estimation methods | pt_PT |
| dc.title | Maximum Likelihood Estimation Methods for Variance Components in Linear Non-Orthogonal Small Size Design Models | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 1236 | pt_PT |
| oaire.citation.startPage | 1233 | pt_PT |
| oaire.citation.title | AIP Publishing | pt_PT |
| person.familyName | Ferreira | |
| person.familyName | Ferreira | |
| person.familyName | Nunes | |
| person.familyName | Mexia | |
| person.givenName | Dário | |
| person.givenName | Sandra | |
| person.givenName | Célia | |
| person.givenName | João | |
| person.identifier | 1454084 | |
| person.identifier | R-000-3NA | |
| person.identifier | R-000-7FX | |
| person.identifier.ciencia-id | 9B1C-6DF8-2872 | |
| person.identifier.ciencia-id | E01A-BAE7-2B14 | |
| person.identifier.ciencia-id | AC1F-3CA0-75FE | |
| person.identifier.ciencia-id | 0A1B-09AC-0E39 | |
| person.identifier.orcid | 0000-0001-9095-0947 | |
| person.identifier.orcid | 0000-0002-9209-7772 | |
| person.identifier.orcid | 0000-0003-0167-4851 | |
| person.identifier.orcid | 0000-0001-8620-0721 | |
| person.identifier.rid | H-1231-2016 | |
| person.identifier.scopus-author-id | 37088452300 | |
| person.identifier.scopus-author-id | 37088374700 | |
| person.identifier.scopus-author-id | 57194580125 | |
| person.identifier.scopus-author-id | 6603673040 | |
| rcaap.embargofct | Copyright cedido à editora no momento da publicação | pt_PT |
| rcaap.rights | closedAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isAuthorOfPublication | a46ed4b5-aea7-4dcb-bbbf-f2219d3a3cb9 | |
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| relation.isAuthorOfPublication | 3579587b-b3c6-4af2-94fb-a9304279ac94 | |
| relation.isAuthorOfPublication.latestForDiscovery | a46ed4b5-aea7-4dcb-bbbf-f2219d3a3cb9 |
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