Publication
Statistical models for categorical data: brief review for applications in ecology
datacite.subject.sdg | 15:Proteger a Vida Terrestre | pt_PT |
dc.contributor.author | Ramos, Maria do Rosário | |
dc.contributor.author | Oliveira, Manuela M. | |
dc.contributor.author | Borges, José G. | |
dc.contributor.author | McDill, Marc E. | |
dc.date.accessioned | 2023-08-02T14:50:27Z | |
dc.date.available | 2023-08-02T14:50:27Z | |
dc.date.issued | 2015 | |
dc.description.abstract | A brief review of statistical models for prediction of categorical data is presented, with emphasis on the binary type. Several methods have been adopted to build predictive models for binary and other types of categorical data and response variables. The focus here is on generalized linear models and generalized additive models, widely applied in problems in Ecology, when the goal is to fit a model to data of presence/absence type or any other categorical response.The estimation methods used for generalized linear models and generalized additive models as well its statistical properties are discussed. Some examples in ecology are addressed. | pt_PT |
dc.description.sponsorship | Research of M. Rosário Ramos was partially supported by FCT-Fundação para a Ciência e a Tecnologia, Portugal, through the project PEst OE/MAT/UI0209/2014. Research of Manuela M. Oliveira, Marc E. McDill, and José G. Borges has received funding from ForEAdapt project, funded by the European Union Seventh Framework Programme (FP7-PEOPLE-2010-IRSES) under grant agreement n° PIRSES-GA-2010-269257. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Ramos, M. R., Oliveira, M. M., Borges, J. G., & McDill, M. E. (2015). Statistical models for categorical data: Brief review for applications in ecology. AIP Conference Proceedings, 1648. https://doi.org/10.1063/1.4913055 | pt_PT |
dc.identifier.doi | 10.1063/1.4913055 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.2/14721 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | AIP Publishing | pt_PT |
dc.subject | Categorical data | pt_PT |
dc.subject | Presence/Absence models | pt_PT |
dc.subject | Generalized linear models | pt_PT |
dc.subject | Generalized additive models | pt_PT |
dc.subject | Ecology | pt_PT |
dc.title | Statistical models for categorical data: brief review for applications in ecology | pt_PT |
dc.type | conference object | |
dspace.entity.type | Publication | |
oaire.citation.conferencePlace | Rhodes, Greece | pt_PT |
oaire.citation.startPage | 840015 | pt_PT |
oaire.citation.title | ICNAAM 2014. AIP Conference Proceedings, International Conference of Numerical Analysis and Applied Mathematics | pt_PT |
oaire.citation.volume | 1648 | pt_PT |
person.familyName | Ramos | |
person.givenName | Maria do Rosário | |
person.identifier | 206757 | |
person.identifier.ciencia-id | 3A1F-E648-078D | |
person.identifier.orcid | 0000-0001-9114-0807 | |
person.identifier.rid | P-4530-2015 | |
person.identifier.scopus-author-id | 54403639500 | |
rcaap.rights | restrictedAccess | pt_PT |
rcaap.type | conferenceObject | pt_PT |
relation.isAuthorOfPublication | c6cdb7b7-607d-4775-947f-d153ff6dded2 | |
relation.isAuthorOfPublication.latestForDiscovery | c6cdb7b7-607d-4775-947f-d153ff6dded2 |
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