Future projections for the south coast rock lobster resource using Bayesian methodology

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dc.contributor.authorJohnston, Susan J
dc.contributor.authorButterworth, Doug S
dc.date.accessioned2016-04-07T10:07:51Z
dc.date.available2016-04-07T10:07:51Z
dc.date.issued2005
dc.date.updated2016-04-07T10:06:51Z
dc.description.abstractA Bayesian approach is used to assess the south coast rock lobster resource based upon a model that allows for time-varying selectivity. Estimation precision appears good. Biomass projections and their uncertainties are compared for four different scenarios: two constant catch options, and simple empirically and model-based OMPs.en_ZA
dc.identifier.apacitationJohnston, S. J., & Butterworth, D. S. (2005). <i>Future projections for the south coast rock lobster resource using Bayesian methodology</i> University of Cape Town ,Faculty of Science ,Marine Resource Assessment and Management Group. Retrieved from http://hdl.handle.net/11427/18684en_ZA
dc.identifier.chicagocitationJohnston, Susan J, and Doug S Butterworth <i>Future projections for the south coast rock lobster resource using Bayesian methodology.</i> University of Cape Town ,Faculty of Science ,Marine Resource Assessment and Management Group, 2005. http://hdl.handle.net/11427/18684en_ZA
dc.identifier.citationJohnston, S. J., & Butterworth, D. S. (2005). Future projections for the south coast rock lobster resource using Bayesian methodology. RLWS/DEC05/ASS/7/2/4en_ZA
dc.identifier.ris TY - Working Paper AU - Johnston, Susan J AU - Butterworth, Doug S AB - A Bayesian approach is used to assess the south coast rock lobster resource based upon a model that allows for time-varying selectivity. Estimation precision appears good. Biomass projections and their uncertainties are compared for four different scenarios: two constant catch options, and simple empirically and model-based OMPs. DA - 2005 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2005 T1 - Future projections for the south coast rock lobster resource using Bayesian methodology TI - Future projections for the south coast rock lobster resource using Bayesian methodology UR - http://hdl.handle.net/11427/18684 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/18684
dc.identifier.vancouvercitationJohnston SJ, Butterworth DS. Future projections for the south coast rock lobster resource using Bayesian methodology. 2005 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/18684en_ZA
dc.languageengen_ZA
dc.publisher.departmentMarine Resource Assessment and Management Groupen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherSouth coast rock lobster resource
dc.subject.otherBayesian methodology
dc.titleFuture projections for the south coast rock lobster resource using Bayesian methodologyen_ZA
dc.typeWorking Paperen_ZA
uct.type.filetypeText
uct.type.publicationResearchen_ZA
uct.type.resourceResearch paperen_ZA
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