Application of lognormal and delta-lognormal linear models to standardise CPUE abundance indices (1994 to 2002) for orange roughy off Namibia

dc.contributor.authorBrandão, Anabela
dc.contributor.authorButterworth, Doug S
dc.date.accessioned2016-03-29T13:49:56Z
dc.date.available2016-03-29T13:49:56Z
dc.date.issued2003
dc.date.updated2016-03-29T13:47:22Z
dc.description.abstractGLM analyses are used to standardise the CPUE data for Namibian orange roughy. The possibility of there being a “learning” period of lower CPUE for a new vessel when it enters the fishery is taken into account. Alternative statistical approaches to deal with tows that record zero catch of orange roughy are considered. Further, to allow for areal expansion of the fishery at each aggregation, sub-aggregations are defined and CPUE trends estimated separately for each. Different methods for combining the results for the various sub-aggregations to provide a single index for an aggregation are considered. In broad terms standardised CPUE values for 2002 appear similar (with some slightly lower) to those for the previous year.en_ZA
dc.identifier.apacitationBrandão, A., & Butterworth, D. S. (2003). <i>Application of lognormal and delta-lognormal linear models to standardise CPUE abundance indices (1994 to 2002) for orange roughy off Namibia</i> University of Cape Town ,Faculty of Science ,Marine Resource Assessment and Management Group. Retrieved from http://hdl.handle.net/11427/18361en_ZA
dc.identifier.chicagocitationBrandão, Anabela, and Doug S Butterworth <i>Application of lognormal and delta-lognormal linear models to standardise CPUE abundance indices (1994 to 2002) for orange roughy off Namibia.</i> University of Cape Town ,Faculty of Science ,Marine Resource Assessment and Management Group, 2003. http://hdl.handle.net/11427/18361en_ZA
dc.identifier.citationBrandão, A., & Butterworth, D. S. (2003). Application of lognormal and delta-lognormal linear models to standardised CPUE abundance indices (1994 to 2002) for orange roughy off Namibia. Namibian Ministry of Fisheries and Marine Resources document: DWFWG/WkShop/Mar03/Doc, 2.en_ZA
dc.identifier.ris TY - Working Paper AU - Brandão, Anabela AU - Butterworth, Doug S AB - GLM analyses are used to standardise the CPUE data for Namibian orange roughy. The possibility of there being a “learning” period of lower CPUE for a new vessel when it enters the fishery is taken into account. Alternative statistical approaches to deal with tows that record zero catch of orange roughy are considered. Further, to allow for areal expansion of the fishery at each aggregation, sub-aggregations are defined and CPUE trends estimated separately for each. Different methods for combining the results for the various sub-aggregations to provide a single index for an aggregation are considered. In broad terms standardised CPUE values for 2002 appear similar (with some slightly lower) to those for the previous year. DA - 2003 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2003 T1 - Application of lognormal and delta-lognormal linear models to standardise CPUE abundance indices (1994 to 2002) for orange roughy off Namibia TI - Application of lognormal and delta-lognormal linear models to standardise CPUE abundance indices (1994 to 2002) for orange roughy off Namibia UR - http://hdl.handle.net/11427/18361 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/18361
dc.identifier.vancouvercitationBrandão A, Butterworth DS. Application of lognormal and delta-lognormal linear models to standardise CPUE abundance indices (1994 to 2002) for orange roughy off Namibia. 2003 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/18361en_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.titleApplication of lognormal and delta-lognormal linear models to standardise CPUE abundance indices (1994 to 2002) for orange roughy off Namibiaen_ZA
dc.typeWorking Paperen_ZA
uct.type.filetype
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceResearch paperen_ZA
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