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dc.contributor.authorAl-kaabawi, Zen
dc.contributor.authorWei, Yen
dc.contributor.authorMoyeed, Ren
dc.date.accessioned2021-01-03T18:07:32Z
dc.date.available2021-01-03T18:07:32Z
dc.date.issued2020-12-29en
dc.identifier.issn0266-4763en
dc.identifier.urihttp://hdl.handle.net/10026.1/16774
dc.format.extent1 - 28en
dc.languageenen
dc.language.isoenen
dc.publisherTaylor & Francis (Routledge)en
dc.titleBayesian hierarchical models for linear networksen
dc.typeJournal Article
plymouth.journalJournal of Applied Statisticsen
dc.identifier.doi10.1080/02664763.2020.1864814en
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/EXTENDED UoA 10 - Mathematical Sciences
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/EXTENDED UoA 10 - Mathematical Sciences/UoA 10 - Former and non-independent
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA10 Mathematical Sciences
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
plymouth.organisational-group/Plymouth/Users by role/Professional Services staff
dcterms.dateAccepted2020-12-12en
dc.rights.embargodate2021-12-29en
dc.identifier.eissn1360-0532en
dc.rights.embargoperiodNot knownen
rioxxterms.versionofrecord10.1080/02664763.2020.1864814en
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2020-12-29en
rioxxterms.typeJournal Article/Reviewen


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