Publication
Estimation in additive models and ANOVA-like applications
dc.contributor.author | Antunes, Patrícia | |
dc.contributor.author | Ferreira, Sandra S. | |
dc.contributor.author | Ferreira, Dário | |
dc.contributor.author | Nunes, Célia | |
dc.contributor.author | Mexia, João T. | |
dc.date.accessioned | 2020-02-06T11:30:24Z | |
dc.date.available | 2020-02-06T11:30:24Z | |
dc.date.issued | 2020 | |
dc.description.abstract | A well-known property of cumulant generating function is used to estimate the first four order cumulants, using least-squares estimators. In the case of additive models, empirical best linear unbiased predictors are also obtained. Pairs of independent and identically distributed models associated with the treatments of a base design are used to obtain unbiased estimators for the fourth-order cumulants. An application to real data is presented, showing the good behaviour of the least-squares estimators and the great flexibility of our approach. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.doi | 10.1080/02664763.2020.1723501 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.6/9061 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.subject | ANOVA | pt_PT |
dc.subject | Cumulants | pt_PT |
dc.subject | Linear models | pt_PT |
dc.subject | Moments | pt_PT |
dc.title | Estimation in additive models and ANOVA-like applications | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.endPage | 10 | pt_PT |
oaire.citation.startPage | 1 | pt_PT |
oaire.citation.title | Journal of Applied Statistics | pt_PT |
person.familyName | Ferreira | |
person.familyName | Ferreira | |
person.familyName | Nunes | |
person.familyName | Mexia | |
person.givenName | Sandra | |
person.givenName | Dário | |
person.givenName | Célia | |
person.givenName | João | |
person.identifier | 1454084 | |
person.identifier | R-000-3NA | |
person.identifier | R-000-7FX | |
person.identifier.ciencia-id | E01A-BAE7-2B14 | |
person.identifier.ciencia-id | 9B1C-6DF8-2872 | |
person.identifier.ciencia-id | AC1F-3CA0-75FE | |
person.identifier.ciencia-id | 0A1B-09AC-0E39 | |
person.identifier.orcid | 0000-0002-9209-7772 | |
person.identifier.orcid | 0000-0001-9095-0947 | |
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 | 37088374700 | |
person.identifier.scopus-author-id | 37088452300 | |
person.identifier.scopus-author-id | 57194580125 | |
person.identifier.scopus-author-id | 6603673040 | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
relation.isAuthorOfPublication | 476a0b22-7679-47cb-afe3-7f772abd7ba1 | |
relation.isAuthorOfPublication | a46ed4b5-aea7-4dcb-bbbf-f2219d3a3cb9 | |
relation.isAuthorOfPublication | 6c089279-689d-4566-b2ee-797ddbefbeab | |
relation.isAuthorOfPublication | 3579587b-b3c6-4af2-94fb-a9304279ac94 | |
relation.isAuthorOfPublication.latestForDiscovery | 6c089279-689d-4566-b2ee-797ddbefbeab |
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