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dc.date.accessioned2013-03-12T08:18:19Z
dc.date.available2013-03-12T08:18:19Z
dc.date.issued2006en_US
dc.date.submitted2011-07-12en_US
dc.identifier.urihttp://hdl.handle.net/10852/10354
dc.description.abstractData from egg sampling surveys often contain a large proportion of zeros. We examine the time and location of collected walleye pollock egg counts from the western Gulf of Alaska, from Kodiak Island to Unimah Pass, in the years 1978-2000. We take the excessive number of zeros in the data into account by taking a two stage modelling approach, resulting in a zero-inflated hierarchical space-time model. The binary (presence/absence of zeros) process is directly linked to the underlying intensity process. Hence, the latter process influences both the presence of zeros and the amount of eggs in non-zero observations. We fit our model for each year, and compare the underlying intensities over the years within regions of the sampled area.eng
dc.language.isoengen_US
dc.publisherMatematisk Institutt, Universitetet i Oslo
dc.relation.ispartofPreprint series. Statistical Research Report http://urn.nb.no/URN:NBN:no-23420en_US
dc.relation.urihttp://urn.nb.no/URN:NBN:no-23420
dc.titleModelling Pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical space-time modelen_US
dc.typeResearch reporten_US
dc.date.updated2011-07-12en_US
dc.creator.authorTvete, Ingunn Frideen_US
dc.creator.authorStorvik, Geiren_US
dc.creator.authorNatvig, Benten_US
dc.subject.nsiVDP::410en_US
dc.identifier.urnURN:NBN:no-28475en_US
dc.type.documentForskningsrapporten_US
dc.identifier.duo132398en_US
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/10354/1/stat-res-04-06.pdf


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