Publication
Outlier detection in interval data
| dc.contributor.author | Silva, A. Pedro Duarte | |
| dc.contributor.author | Filzmoser, Peter | |
| dc.contributor.author | Brito, Paula | |
| dc.date.accessioned | 2018-07-04T12:23:10Z | |
| dc.date.available | 2018-07-04T12:23:10Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | A multivariate outlier detection method for interval data is proposed that makes use of a parametric approach to model the interval data. The trimmed maximum likelihood principle is adapted in order to robustly estimate the model parameters. A simulation study demonstrates the usefulness of the robust estimates for outlier detection, and new diagnostic plots allow gaining deeper insight into the structure of real world interval data. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Duarte Silva, A. P., Filzmoser, P., Brito, P. (2017). Outlier detection in interval data. Advances in Data Analysis and Classification, 12 (3), 785-822 | pt_PT |
| dc.identifier.doi | 10.1007/s11634-017-0305-y | pt_PT |
| dc.identifier.eid | 85038100119 | |
| dc.identifier.eissn | 1862-5355 | |
| dc.identifier.issn | 1862-5347 | |
| dc.identifier.uri | http://hdl.handle.net/10400.14/25171 | |
| dc.identifier.wos | 000444560900015 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Springer Verlag | pt_PT |
| dc.relation | POCI-01-0145-FEDER-006961 | |
| dc.subject | Outliers | pt_PT |
| dc.subject | Robust statistics | pt_PT |
| dc.subject | Interval data | pt_PT |
| dc.subject | Mahalanobis distance | pt_PT |
| dc.title | Outlier detection in interval data | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F50014%2F2013/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/5876/UID%2FGES%2F00731%2F2013/PT | |
| oaire.citation.endPage | 822 | |
| oaire.citation.startPage | 785 | |
| oaire.citation.title | Advances in Data Analysis and Classification | pt_PT |
| oaire.fundingStream | 5876 | |
| oaire.fundingStream | 5876 | |
| person.familyName | Duarte Silva | |
| person.familyName | Filzmoser | |
| person.familyName | Brito | |
| person.givenName | Pedro | |
| person.givenName | Peter | |
| person.givenName | Paula | |
| person.identifier | R-000-CF4 | |
| person.identifier.ciencia-id | 371F-636A-E2E9 | |
| person.identifier.ciencia-id | 0B1A-DD19-07CE | |
| person.identifier.orcid | 0000-0003-1378-2403 | |
| person.identifier.orcid | 0000-0002-8014-4682 | |
| person.identifier.orcid | 0000-0002-2593-8818 | |
| person.identifier.rid | B-6168-2008 | |
| person.identifier.rid | J-6656-2013 | |
| person.identifier.scopus-author-id | 6602627961 | |
| person.identifier.scopus-author-id | 56211699200 | |
| person.identifier.scopus-author-id | 15025681300 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | restrictedAccess | pt_PT |
| rcaap.type | article | pt_PT |
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