Prior incoherence within a Bayesian assessment of the Southern Hemisphere humpback whale breeding stock B population

dc.contributor.authorMüller, Andrea
dc.contributor.authorButterworth, Doug S
dc.date.accessioned2016-04-18T08:39:46Z
dc.date.available2016-04-18T08:39:46Z
dc.date.issued2010
dc.date.updated2016-04-18T08:38:01Z
dc.description.abstractIn very simple terms, a Bayesian analysis involves drawing estimatable parameter values from some prior distribution, computing population dynamics and assigning a likelihood value to each combination based on comparisons to data containing information on population size and/or trend. A posterior distribution may then be constructed and conclusions drawn about the parameter estimates. In Model Ia (see Appendix) r B1 , r B2 , ( ) 1 arg ~ ln B Nt , ( ) 2 arg ~ ln B Nt are the parameter values drawn from priors for the intrinsic growth rate and the log of the recent abundance for the two populations under consideration.en_ZA
dc.identifier.apacitationMüller, A., & Butterworth, D. S. (2010). <i>Prior incoherence within a Bayesian assessment of the Southern Hemisphere humpback whale breeding stock B population</i> University of Cape Town ,Faculty of Science ,Marine Resource Assessment and Management Group. Retrieved from http://hdl.handle.net/11427/18912en_ZA
dc.identifier.chicagocitationMüller, Andrea, and Doug S Butterworth <i>Prior incoherence within a Bayesian assessment of the Southern Hemisphere humpback whale breeding stock B population.</i> University of Cape Town ,Faculty of Science ,Marine Resource Assessment and Management Group, 2010. http://hdl.handle.net/11427/18912en_ZA
dc.identifier.citationMüller, A., & Butterworth, D. S. (2010). Prior incoherence within a Bayesian assessment of the Southern Hemisphere humpback whale breeding stock B population. MARAM IWS/DEC10/MISC/P1en_ZA
dc.identifier.ris TY - Working Paper AU - Müller, Andrea AU - Butterworth, Doug S AB - In very simple terms, a Bayesian analysis involves drawing estimatable parameter values from some prior distribution, computing population dynamics and assigning a likelihood value to each combination based on comparisons to data containing information on population size and/or trend. A posterior distribution may then be constructed and conclusions drawn about the parameter estimates. In Model Ia (see Appendix) r B1 , r B2 , ( ) 1 arg ~ ln B Nt , ( ) 2 arg ~ ln B Nt are the parameter values drawn from priors for the intrinsic growth rate and the log of the recent abundance for the two populations under consideration. DA - 2010 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2010 T1 - Prior incoherence within a Bayesian assessment of the Southern Hemisphere humpback whale breeding stock B population TI - Prior incoherence within a Bayesian assessment of the Southern Hemisphere humpback whale breeding stock B population UR - http://hdl.handle.net/11427/18912 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/18912
dc.identifier.vancouvercitationMüller A, Butterworth DS. Prior incoherence within a Bayesian assessment of the Southern Hemisphere humpback whale breeding stock B population. 2010 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/18912en_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.otherBayesian assessment
dc.subject.otherSouthern Hemisphere
dc.subject.otherhumpback whale
dc.titlePrior incoherence within a Bayesian assessment of the Southern Hemisphere humpback whale breeding stock B populationen_ZA
dc.typeWorking Paperen_ZA
uct.type.filetypeText
uct.type.publicationResearchen_ZA
uct.type.resourceResearch paperen_ZA
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