Evaluating the accuracy of hake abundance index predictions using different smoothing techniques
| dc.contributor.author | Butterworth, Doug S | |
| dc.contributor.author | Robinson, William M L | |
| dc.contributor.author | Ross-Gillespie, Andrea | |
| dc.date.accessioned | 2016-03-18T07:41:19Z | |
| dc.date.available | 2016-03-18T07:41:19Z | |
| dc.date.issued | 2013 | |
| dc.date.updated | 2016-03-18T07:33:34Z | |
| dc.description.abstract | Alternative projection approaches based on linear and quadratic smoothing are applied retrospectively to abundance indices for hake to ascertain whether they can provide more accurate predictions of resource status one and two years ahead, in line with ideal needs for the empirical OMP used to set hake TACs. The results suggest that there is probably little if anything to be gained from attempting more complex formulations than three-year averages of abundance indices for input to a target-based empirical OMP for SA hake. | en_ZA |
| dc.identifier.apacitation | Butterworth, D. S., Robinson, W. M. L., & Ross-Gillespie, A. (2013). <i>Evaluating the accuracy of hake abundance index predictions using different smoothing techniques</i> University of Cape Town ,Faculty of Science ,Marine Resource Assessment and Management Group. Retrieved from http://hdl.handle.net/11427/17982 | en_ZA |
| dc.identifier.chicagocitation | Butterworth, Doug S, William M L Robinson, and Andrea Ross-Gillespie <i>Evaluating the accuracy of hake abundance index predictions using different smoothing techniques.</i> University of Cape Town ,Faculty of Science ,Marine Resource Assessment and Management Group, 2013. http://hdl.handle.net/11427/17982 | en_ZA |
| dc.identifier.citation | Butterworth, D. S., Robinson, W. M., & Ross-Gillespie, A. (2013). Evaluating the accuracy of hake abundance index predictions using different smoothing techniques. MARAM: University of Cape Town. | en_ZA |
| dc.identifier.ris | TY - Working Paper AU - Butterworth, Doug S AU - Robinson, William M L AU - Ross-Gillespie, Andrea AB - Alternative projection approaches based on linear and quadratic smoothing are applied retrospectively to abundance indices for hake to ascertain whether they can provide more accurate predictions of resource status one and two years ahead, in line with ideal needs for the empirical OMP used to set hake TACs. The results suggest that there is probably little if anything to be gained from attempting more complex formulations than three-year averages of abundance indices for input to a target-based empirical OMP for SA hake. DA - 2013 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2013 T1 - Evaluating the accuracy of hake abundance index predictions using different smoothing techniques TI - Evaluating the accuracy of hake abundance index predictions using different smoothing techniques UR - http://hdl.handle.net/11427/17982 ER - | en_ZA |
| dc.identifier.uri | http://hdl.handle.net/11427/17982 | |
| dc.identifier.vancouvercitation | Butterworth DS, Robinson WML, Ross-Gillespie A. Evaluating the accuracy of hake abundance index predictions using different smoothing techniques. 2013 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/17982 | en_ZA |
| dc.language | eng | en_ZA |
| dc.publisher.department | Marine Resource Assessment and Management Group | en_ZA |
| dc.publisher.faculty | Faculty of Science | en_ZA |
| dc.publisher.institution | University of Cape Town | |
| dc.title | Evaluating the accuracy of hake abundance index predictions using different smoothing techniques | en_ZA |
| dc.type | Working Paper | en_ZA |
| uct.type.filetype | Text | |
| uct.type.filetype | Image | |
| uct.type.publication | Research | en_ZA |
| uct.type.resource | Research paper | en_ZA |