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dc.contributor.authorPolacheck, Tom
dc.contributor.authorVølstad, Jon Helge
dc.date.accessioned2012-08-21T14:32:19Z
dc.date.available2012-08-21T14:32:19Z
dc.date.issued1990
dc.identifier.citationThis report is not to be cited without prior reference to the authorsno_NO
dc.identifier.urihttp://hdl.handle.net/11250/104729
dc.description.abstractA regression model with spatially autocorrelated errors is used to test if there is systematic spatial variation across the study area in haddock catch per tow data from the NEFC annual fall survey from 1963 - 1987. A maximum likelihood estimation procedure is used, and the likelihoodratio method is used for testing the significance of the model. The results suggest that for many of the years analyzed information on the depth and location of sampling stations can be used to explain part of the spatial variability of the trawl catches. If model-based inferences are made from the survey data, the depth related trend and the autocorrelation for the errors of the model should be taken into account. The potential use of a spatial prediction method for geographic mapping of density is discussed.no_NO
dc.language.isoengno_NO
dc.publisherICESno_NO
dc.relation.ispartofseriesICES CM Documents;1990/D:36
dc.subjectdemersal fishno_NO
dc.subjectbunnfiskno_NO
dc.subjectdistributionno_NO
dc.subjectutbredelseno_NO
dc.subjectacousticsno_NO
dc.subjectakustikkno_NO
dc.titleAnalysis of spatial variability of Georges Bank haddock (Melanogrammus aeglefinus) from trawl survey data using a linear regression model with spatial interactionno_NO
dc.typeWorking paperno_NO
dc.subject.nsiVDP::Mathematics and natural science: 400::Geosciences: 450::Oceanography: 452no_NO
dc.subject.nsiVDP::Mathematics and natural science: 400::Information and communication science: 420::Mathematical modeling and numerical methods: 427no_NO
dc.source.pagenumber17 s.no_NO


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