Taking account of sample size in the GLM analyses of the response variable data from the island closure feasibility study

dc.contributor.authorButterworth, Doug S
dc.contributor.authorRoss-Gillespie, A
dc.date.accessioned2016-04-13T13:33:50Z
dc.date.available2016-04-13T13:33:50Z
dc.date.issued2014
dc.date.updated2016-04-13T13:32:51Z
dc.description.abstractTwo approaches are used to examine the impact of taking sample size into account in GLM analyses to estimate the fishing effect parameter λ. In the first the variance of each mean value input to the analyses is disaggregated into separate contributions reflecting process error (taken to be constant) and observation error (taken to be inversely proportional to sample size). The second simpler approach merely omits values for which the sample size was very low. The implications are evaluated for the majority of the scenarios considered and methods applied in earlier analyses which did not account explicitly for sample size. The pattern of results when sample size is taken into account is clear and consistent: broadly speaking results do not change much in the great majority of cases, and in particular the substantial preponderance of positive to negative estimates of the fishing effect parameter λ remains.en_ZA
dc.identifier.apacitationButterworth, D. S., & Ross-Gillespie, A. (2014). <i>Taking account of sample size in the GLM analyses of the response variable data from the island closure feasibility study</i> University of Cape Town ,Faculty of Science ,Marine Resource Assessment and Management Group. Retrieved from http://hdl.handle.net/11427/18865en_ZA
dc.identifier.chicagocitationButterworth, Doug S, and A Ross-Gillespie <i>Taking account of sample size in the GLM analyses of the response variable data from the island closure feasibility study.</i> University of Cape Town ,Faculty of Science ,Marine Resource Assessment and Management Group, 2014. http://hdl.handle.net/11427/18865en_ZA
dc.identifier.citationButterworth, D S., & Ross-Gillespie, A. (2014). Taking account of sample size in the GLM analyses of the response variable data from the Island closure feasibility study. MARAM: University of Cape Town.en_ZA
dc.identifier.ris TY - Working Paper AU - Butterworth, Doug S AU - Ross-Gillespie, A AB - Two approaches are used to examine the impact of taking sample size into account in GLM analyses to estimate the fishing effect parameter λ. In the first the variance of each mean value input to the analyses is disaggregated into separate contributions reflecting process error (taken to be constant) and observation error (taken to be inversely proportional to sample size). The second simpler approach merely omits values for which the sample size was very low. The implications are evaluated for the majority of the scenarios considered and methods applied in earlier analyses which did not account explicitly for sample size. The pattern of results when sample size is taken into account is clear and consistent: broadly speaking results do not change much in the great majority of cases, and in particular the substantial preponderance of positive to negative estimates of the fishing effect parameter λ remains. DA - 2014 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2014 T1 - Taking account of sample size in the GLM analyses of the response variable data from the island closure feasibility study TI - Taking account of sample size in the GLM analyses of the response variable data from the island closure feasibility study UR - http://hdl.handle.net/11427/18865 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/18865
dc.identifier.vancouvercitationButterworth DS, Ross-Gillespie A. Taking account of sample size in the GLM analyses of the response variable data from the island closure feasibility study. 2014 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/18865en_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.titleTaking account of sample size in the GLM analyses of the response variable data from the island closure feasibility studyen_ZA
dc.typeWorking Paperen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceResearch paperen_ZA
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