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dc.contributor.authorBoone, EL
dc.contributor.authorStewart-Koster, B
dc.contributor.authorKennard, MJ
dc.date.accessioned2017-05-03T11:30:25Z
dc.date.available2017-05-03T11:30:25Z
dc.date.issued2012
dc.date.modified2013-06-03T03:24:53Z
dc.identifier.issn1180-4009
dc.identifier.doi10.1002/env.1145
dc.identifier.urihttp://hdl.handle.net/10072/47007
dc.description.abstractEcologists are frequently confronted with the challenge of accurately modelling species abundance. However, this task requires one to deal with both presence/absence as well as abundance. Traditional Poisson regression models are not adequate when attempting to deal with both issues simultaneously. Zero-inflated regression models have been proposed to deal with this problem with much success. We extend these models to incorporate both a multilevel hierarchical structure and spatial correlation. The model is illustrated using a dataset concerning the Hypseleotris galii (Fire-tailed Gudgeon), a native species to eastern Australia.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherJohn Wiley & Sons, Ltd.
dc.publisher.placeUnited Kingdom
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom207
dc.relation.ispartofpageto218
dc.relation.ispartofissue3
dc.relation.ispartofjournalEnvironmetrics
dc.relation.ispartofvolume23
dc.rights.retentionY
dc.subject.fieldofresearchMathematical sciences
dc.subject.fieldofresearchEnvironmental sciences
dc.subject.fieldofresearchFreshwater ecology
dc.subject.fieldofresearchcode49
dc.subject.fieldofresearchcode41
dc.subject.fieldofresearchcode310304
dc.titleA hierarchical zero-inflated Poisson regression model for stream fish distribution and abundance
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.date.issued2012
gro.hasfulltextNo Full Text
gro.griffith.authorKennard, Mark J.
gro.griffith.authorStewart-Koster, Ben D.


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    Contains articles published by Griffith authors in scholarly journals.

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