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An alternative methodology for fitting selectivity curves to pre-defined distributions

dc.contributor.authorErzini, Karim
dc.contributor.authorCastro, Margarida
dc.date.accessioned2016-12-14T16:22:21Z
dc.date.available2016-12-14T16:22:21Z
dc.date.issued1998
dc.description.abstractA non-linear least-squares methodology for simultaneously estimating parameters of selectivity curves with a pre-defined functional form, across size classes and mesh sizes, using catch size frequency distributions, was developed based on the model of Kirkwood and Walker [Kirkwood, G.P., Walker, T.L, 1986. Gill net selectivities for gummy shark, Mustelus antarcticus Gunther, taken in south-eastern Australian waters. Aust. J. Mar. Freshw. Res. 37, 689-697] and [Wulff, A., 1986. Mathematical model for selectivity of gill nets. Arch. Fish Wiss. 37, 101-106]. Observed catches of fish of size class I in mesh m are modeled as a function of the estimated numbers of fish of that size class in the population and the corresponding selectivities. A comparison was made with the maximum likelihood methodology of [Kirkwood, G.P., Walker, T.I., 1986. Gill net selectivities for gummy shark, Mustelus antarcticus Gunther, taken in south-eastern Australian waters. Aust. J. Mar. Freshw. Res. 37, 689-697] and [Wulff, A., 1986. Mathematical model for selectivity of gill nets. Arch. Fish Wiss; 37, 101-106], using simulated catch data with known selectivity curve parameters, and two published data sets. The estimated parameters and selectivity curves were generally consistent for both methods, with smaller standard errors for parameters estimated by non-linear least-squares. The proposed methodology is a useful and accessible alternative which can be used to model selectivity in situations where the parameters of a pre-defined model can be assumed to be functions of gear size; facilitating statistical evaluation of different models and of goodness of fit. (C) 1998 Elsevier Science B.V.
dc.identifier.doi10.1016/S0165-7836(97)00103-3
dc.identifier.issn0165-7836
dc.identifier.otherAUT: KER00543;
dc.identifier.urihttp://hdl.handle.net/10400.1/8764
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relation.isbasedonWOS:000073629600008
dc.titleAn alternative methodology for fitting selectivity curves to pre-defined distributions
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage313
oaire.citation.issue3
oaire.citation.startPage307
oaire.citation.titleFisheries Research
oaire.citation.volume34
person.familyNameErzini
person.familyNameCastro
person.givenNameKarim
person.givenNameMargarida
person.identifier.ciencia-idD917-7133-341A
person.identifier.ciencia-id971F-AF68-5799
person.identifier.orcid0000-0002-1411-0126
person.identifier.orcid0000-0002-7860-2074
person.identifier.ridM-5216-2013
person.identifier.ridN-1091-2013
person.identifier.scopus-author-id7004015948
person.identifier.scopus-author-id7402292554
rcaap.rightsrestrictedAccess
rcaap.typearticle
relation.isAuthorOfPublicatione20f0e2d-3085-4c37-9e98-260dc9faddea
relation.isAuthorOfPublication76e4cab8-f3b7-4b85-b830-06599975ed40
relation.isAuthorOfPublication.latestForDiscovery76e4cab8-f3b7-4b85-b830-06599975ed40

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