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dc.contributor.authorThangstad, Trond
dc.contributor.authorFosså, Jan Helge
dc.contributor.authorFernö, Anders
dc.contributor.authorJohannessen, Arne
dc.date.accessioned2012-10-18T05:56:51Z
dc.date.available2012-10-18T05:56:51Z
dc.date.issued2000
dc.identifier.citationThis report is not to be cited without prior reference to the authorsno_NO
dc.identifier.urihttp://hdl.handle.net/11250/106097
dc.description.abstractBackground: Generalised linear models (GLMs, see McCullagh & Nelder 1989) form a modern, flexible and unified approach to statistical modelling. GLMs are of particular value to the analysis of data from ecological surveys, because they allow for deviation from the assumption of normality in the models. Thus one may for instance fit models with Poisson or negative binomial (negbin) error terms and loganthmic link functions. The negbin distribution in particular, frequently applied in ecology, and often gives a good approximation to typically skewed catch data (high proportion of zero catch values, low means). Many of today’s statistical computer packages (e.g. S-Plus) have inbuilt options for GLMs.no_NO
dc.language.isoengno_NO
dc.publisherICESno_NO
dc.relation.ispartofseriesICES CM Documents;2000/N:31
dc.subjectwrasseno_NO
dc.subjectleppefiskerno_NO
dc.subjectdistributionno_NO
dc.subjectutbredelseno_NO
dc.subjectcatchno_NO
dc.subjectfangstno_NO
dc.subjectsamplingno_NO
dc.subjectprøvetakingno_NO
dc.titleFactors affecting the distribution of wrasses in a fjord system: analysis by generalised linear modelsno_NO
dc.typeWorking paperno_NO
dc.subject.nsiVDP::Agriculture and fishery disciplines: 900::Fisheries science: 920::Catch: 925no_NO
dc.subject.nsiVDP::Agriculture and fishery disciplines: 900::Fisheries science: 920::Fish health: 923no_NO
dc.subject.nsiVDP::Mathematics and natural science: 400::Geosciences: 450::Oceanography: 452no_NO
dc.source.pagenumber4 s.no_NO


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