Publicação
Maximum likelihood estimation in pooled sample tests
| datacite.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | |
| datacite.subject.sdg | 08:Trabalho Digno e Crescimento Económico | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| datacite.subject.sdg | 10:Reduzir as Desigualdades | |
| dc.contributor.author | Martins, João Paulo | |
| dc.contributor.author | Felgueiras, Miguel | |
| dc.contributor.author | Santos, Rui | |
| dc.date.accessioned | 2026-07-20T14:57:45Z | |
| dc.date.available | 2026-07-20T14:57:45Z | |
| dc.date.issued | 2014-10-06 | |
| dc.description.abstract | Pooled sample tests, firstly used on the classification problem (identifying all individuals with some characteristic), may also be applied to estimate the prevalence rate. Moreover, the pooled sample methods may attain greater efficiency when applied to estimate some prevalence rate, since it is no longer necessary to perform any individual test.We develop a maximum likelihood computational algorithm for the prevalence rate estimation, and we analyze its performance. | eng |
| dc.description.sponsorship | Research partially funded by FCT, Portugal, through the project PEst-OE/MAT/UI0006/2014 . | |
| dc.identifier.citation | Martins, João & Felgueiras, Miguel & Santos, Rui. (2014). Maximum likelihood estimation in pooled sample tests. 1618. 543-546. 10.1063/1.4897795 | |
| dc.identifier.doi | 10.1063/1.4897795 | |
| dc.identifier.issn | 0094-243X | |
| dc.identifier.uri | http://hdl.handle.net/10400.8/16625 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | AIP Publishing LLC | |
| dc.relation | Strategic Project - UI 6 - 2014 | |
| dc.relation.hasversion | https://pubs.aip.org/aip/acp/issue/1618/1 | |
| dc.relation.ispartof | AIP Conference Proceedings | |
| dc.rights.uri | N/A | |
| dc.subject | Maximum likelihood | |
| dc.subject | Prevalence rate | |
| dc.subject | Pooled samples | |
| dc.title | Maximum likelihood estimation in pooled sample tests | eng |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | PEst-OE/MAT/UI0006/2014 | |
| oaire.awardTitle | Strategic Project - UI 6 - 2014 | |
| oaire.awardURI | http://hdl.handle.net/10400.8/13114 | |
| oaire.citation.conferenceDate | 2014-04-04 | |
| oaire.citation.conferencePlace | Athens, Greece | |
| oaire.citation.endPage | 546 | |
| oaire.citation.startPage | 543 | |
| oaire.citation.title | INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2014 (ICCMSE 2014) | |
| oaire.citation.volume | 1618 | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Oliveira Martins | |
| person.familyName | Felgueiras | |
| person.familyName | Santos | |
| person.givenName | João Paulo | |
| person.givenName | Miguel | |
| person.givenName | Rui | |
| person.identifier | 1051057 | |
| person.identifier.ciencia-id | 0F1B-DE05-36E5 | |
| person.identifier.ciencia-id | 7610-8B27-8044 | |
| person.identifier.orcid | 0000-0002-0474-1397 | |
| person.identifier.orcid | 0000-0001-5450-7374 | |
| person.identifier.orcid | 0000-0002-7371-363X | |
| person.identifier.rid | M-8134-2019 | |
| person.identifier.rid | C-1873-2015 | |
| person.identifier.scopus-author-id | 50861001200 | |
| person.identifier.scopus-author-id | 56979441000 | |
| relation.isAuthorOfPublication | b3dba60a-968a-47e9-87e2-b238acdbc75d | |
| relation.isAuthorOfPublication | b7404fe1-3566-46d5-9d02-341bec92615b | |
| relation.isAuthorOfPublication | fba82887-7d94-41f6-a4aa-06b7de054567 | |
| relation.isAuthorOfPublication.latestForDiscovery | b3dba60a-968a-47e9-87e2-b238acdbc75d | |
| relation.isProjectOfPublication | dafe290c-40c1-4621-967e-f2e6302d72b1 | |
| relation.isProjectOfPublication.latestForDiscovery | dafe290c-40c1-4621-967e-f2e6302d72b1 |
Ficheiros
Principais
1 - 1 de 1
Miniatura indisponível
- Nome:
- Maximum Likelihood Estimation in Pooled Sample Tests.pdf
- Tamanho:
- 1.14 MB
- Formato:
- Adobe Portable Document Format
Licença
1 - 1 de 1
Miniatura indisponível
- Nome:
- license.txt
- Tamanho:
- 1.32 KB
- Formato:
- Item-specific license agreed upon to submission
- Descrição:
