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dc.contributor.authorCruyff, Maarten
dc.contributor.authorOverstall, Antony
dc.contributor.authorPapathomas, Michail
dc.contributor.authorMcCrea, Rachel
dc.date.accessioned2021-01-07T10:30:03Z
dc.date.available2021-01-07T10:30:03Z
dc.date.issued2020-12-22
dc.identifier.citationCruyff , M , Overstall , A , Papathomas , M & McCrea , R 2020 , ' Multiple system estimation of victims of human trafficking : model assessment and selection ' , Crime and Delinquency , vol. Online First . https://doi.org/10.1177/0011128720981908en
dc.identifier.issn0011-1287
dc.identifier.otherPURE: 259434748
dc.identifier.otherPURE UUID: e5be1aa0-0d0f-4376-aa89-c34fe1c7a5f5
dc.identifier.otherORCID: /0000-0002-5897-695X/work/86538110
dc.identifier.otherScopus: 85097315374
dc.identifier.otherWOS: 000625255800001
dc.identifier.urihttp://hdl.handle.net/10023/21235
dc.description.abstractRecently, multiple systems estimation (MSE) has been applied to estimate the number of victims of human trafficking in different countries. The estimation procedure consists of a log-linear analysis of a contingency table of population registers and covariates. As the number of potential models increases exponentially with the number of registers and covariates, it is practically impossible to fit and compare all models. Therefore, the model search needs to be restricted to a small subset of all potential models. This paper addresses principles and criteria for model assessment and selection for MSE of human trafficking with special attention to sparsity which is typical to human trafficking data. The concepts are illustrated on data from Slovakia and Romania.
dc.format.extent17
dc.language.isoeng
dc.relation.ispartofCrime and Delinquencyen
dc.rightsCopyright © The Author(s) 2020. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).en
dc.subjectLog-linear modelingen
dc.subjectiImation criteriaen
dc.subjectModern slaveryen
dc.subjectBICen
dc.subjectAICen
dc.subjectJZ International relationsen
dc.subjectQA Mathematicsen
dc.subjectT-NDASen
dc.subject.lccJZen
dc.subject.lccQAen
dc.titleMultiple system estimation of victims of human trafficking : model assessment and selectionen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.Statisticsen
dc.contributor.institutionUniversity of St Andrews.Centre for Research into Ecological & Environmental Modellingen
dc.identifier.doihttps://doi.org/10.1177/0011128720981908
dc.description.statusPeer revieweden


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