Making the most of incomplete long-term datasets: the MARSS solution

Greenville, A

Nguyen, V Wardle, G Dickman, C

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Field	Value	Language
dc.contributor.author	Greenville, A https://orcid.org/0000-0002-0113-4778	en_US
dc.contributor.author	Nguyen, V	en_US
dc.contributor.author	Wardle, G	en_US
dc.contributor.author	Dickman, C	en_US
dc.date.available	2020-05-25T19:02:52Z
dc.date.issued	2018	en_US
dc.identifier.citation	Australian Zoologist, 2018, in press	en_US
dc.identifier.issn	0067-2238	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126564
dc.publisher	Royal Zoological Society of New South Wales	en_US
dc.relation.ispartof	Australian Zoologist	en_US
dc.relation.isbasedon	10.7882/AZ.2018.018	en_US
dc.subject.classification	Ecology	en_US
dc.title	Making the most of incomplete long-term datasets: the MARSS solution	en_US
dc.type	Journal Article
utslib.citation.volume	in press	en_US
utslib.for	0608 Zoology	en_US
utslib.for	0602 Ecology	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	open_access
pubs.declined	2018-07-30T10:43:46.854+1000
pubs.consider-herdc	false	en_US
pubs.publication-status	Published online	en_US
pubs.volume	in press	en_US

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