Investigating the suitability of the negative log-likelihood term for the catch-at-length data in the hake assessment model

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dc.contributor.authorRoss-Gillespie, Andrea
dc.contributor.authorButterworth, Doug S
dc.date.accessioned2019-11-19T09:35:21Z
dc.date.available2019-11-19T09:35:21Z
dc.date.issued2018-02
dc.description.abstractVarious technical improvements are proposed to the way catch-at-length (CAL) data are treated in fitting the hake assessment model in preparation for finalising the Operating Models for the hake OMP revision. This work has been conducted in collaboration with OLRAC and their code-checking exercise, with near identical results achieved. Results suggest the M. paradoxus resource to be robustly estimated to be at least 10% above BMSY at present for the Reference Case; similar estimates for M. capensis are also above BMSY, though more variable in sensitivity tests.en_US
dc.identifier.apacitationRoss-Gillespie, A., & Butterworth, D. (2018). <i>Investigating the suitability of the negative log-likelihood term for the catch-at-length data in the hake assessment model</i> ,Faculty of Science ,Department of Mathematics and Applied Mathematics. Retrieved from http://hdl.handle.net/11427/30612en_ZA
dc.identifier.chicagocitationRoss-Gillespie, Andrea, and Doug Butterworth <i>Investigating the suitability of the negative log-likelihood term for the catch-at-length data in the hake assessment model.</i> ,Faculty of Science ,Department of Mathematics and Applied Mathematics, 2018. http://hdl.handle.net/11427/30612en_ZA
dc.identifier.citationRoss-Gillespie, A., Butterworth, D. 2018-02. Investigating the suitability of the negative log-likelihood term for the catch-at-length data in the hake assessment model.en_ZA
dc.identifier.ris TY - Report AU - Ross-Gillespie, Andrea AU - Butterworth, Doug AB - Various technical improvements are proposed to the way catch-at-length (CAL) data are treated in fitting the hake assessment model in preparation for finalising the Operating Models for the hake OMP revision. This work has been conducted in collaboration with OLRAC and their code-checking exercise, with near identical results achieved. Results suggest the M. paradoxus resource to be robustly estimated to be at least 10% above BMSY at present for the Reference Case; similar estimates for M. capensis are also above BMSY, though more variable in sensitivity tests. DA - 2018-02 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PY - 2018 T1 - Investigating the suitability of the negative log-likelihood term for the catch-at-length data in the hake assessment model TI - Investigating the suitability of the negative log-likelihood term for the catch-at-length data in the hake assessment model UR - http://hdl.handle.net/11427/30612 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/30612
dc.identifier.vancouvercitationRoss-Gillespie A, Butterworth D. Investigating the suitability of the negative log-likelihood term for the catch-at-length data in the hake assessment model. 2018 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/30612en_ZA
dc.language.isoeng
dc.publisher.departmentDepartment of Mathematics and Applied Mathematicsen_US
dc.publisher.facultyFaculty of Scienceen_US
dc.titleInvestigating the suitability of the negative log-likelihood term for the catch-at-length data in the hake assessment modelen_US
dc.typeReporten_US
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