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dc.contributor.authorCongdon, Pen_US
dc.date.accessioned2016-09-13T15:25:20Z
dc.date.issued2017-02en_US
dc.date.submitted2016-09-09T10:21:26.841Z
dc.identifier.issn1436-3240en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/15282
dc.format.extent291 - 304en_US
dc.language.isoenen_US
dc.relation.ispartofSTOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENTen_US
dc.rightsCC-BY
dc.subjectSpatialen_US
dc.subjectBayesianen_US
dc.subjectConditional autoregressiveen_US
dc.subjectHeteroscedasticityen_US
dc.subjectScale mixtureen_US
dc.subjectTuberculosisen_US
dc.titleRepresenting spatial dependence and spatial discontinuity in ecological epidemiology: a scale mixture approachen_US
dc.typeArticle
dc.rights.holder© 2016 The Author(s)
dc.identifier.doi10.1007/s00477-016-1292-9en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000395197800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue2en_US
pubs.notesNot knownen_US
pubs.organisational-group/Queen Mary University of London
pubs.organisational-group/Queen Mary University of London/Faculty of Humanities, Social Sciences & Law
pubs.organisational-group/Queen Mary University of London/Faculty of Humanities, Social Sciences & Law/Geography - Staff
pubs.publication-statusPublisheden_US
pubs.volume31en_US


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