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The multivariate-Tweedie: a self-weighting likelihood for age and length composition data arising from hierarchical sampling designs

dc.contributor.authorThorson, James T.
dc.contributor.authorMiller, Timothy J.
dc.contributor.authorStock, Brian
dc.date.accessioned2023-03-08T10:48:34Z
dc.date.available2023-03-08T10:48:34Z
dc.date.created2023-03-07T10:43:38Z
dc.date.issued2022
dc.identifier.citationICES Journal of Marine Science. 2022, .en_US
dc.identifier.issn1054-3139
dc.identifier.urihttps://hdl.handle.net/11250/3057002
dc.language.isoengen_US
dc.titleThe multivariate-Tweedie: a self-weighting likelihood for age and length composition data arising from hierarchical sampling designsen_US
dc.title.alternativeThe multivariate-Tweedie: a self-weighting likelihood for age and length composition data arising from hierarchical sampling designsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersion
dc.source.pagenumber12en_US
dc.source.journalICES Journal of Marine Scienceen_US
dc.identifier.doihttps://doi.org/10.1093/icesjms/fsac159
dc.identifier.cristin2131841
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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