dc.contributor.author | Breivik, Olav Nikolai | |
dc.contributor.author | Aldrin, Magne Tommy | |
dc.contributor.author | Fuglebakk, Edvin | |
dc.contributor.author | Nielsen, Anders | |
dc.date.accessioned | 2023-11-20T13:13:06Z | |
dc.date.available | 2023-11-20T13:13:06Z | |
dc.date.created | 2023-10-10T14:56:00Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Canadian Journal of Fisheries and Aquatic Sciences. 2023, 80 (9), 1509-1518. | en_US |
dc.identifier.issn | 0706-652X | |
dc.identifier.uri | https://hdl.handle.net/11250/3103618 | |
dc.description.abstract | Retrospective patterns are commonly investigated to validate fish stock assessment models. A widely applied measure for retrospective bias is Mohn’s ρ and corresponding retrospective plots. However, retrospective patterns can be interpreted differently by experts. To make decisions regarding significant retrospective patterns less subjective, we proposed a post-sample Mohn’s ρ significance test. As case studies, we applied the state space assessment model SAM with data on Northeast Arctic cod and Norwegian coastal cod north of 67°N. We showed that the acceptance regions of Mohn’s ρ depends on both the data available and the assessment model complexity. We also assessed the test power under a range of assumption violations and conclude that Mohn’s ρ is useful for detecting violations associated with bias, but not for violations associated with variances and correlations. | en_US |
dc.language.iso | eng | en_US |
dc.title | Detecting significant retrospective patterns in state space fish stock assessment | en_US |
dc.title.alternative | Detecting significant retrospective patterns in state space fish stock assessment | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.pagenumber | 1509-1518 | en_US |
dc.source.volume | 80 | en_US |
dc.source.journal | Canadian Journal of Fisheries and Aquatic Sciences | en_US |
dc.source.issue | 9 | en_US |
dc.identifier.doi | 10.1139/cjfas-2022-0250 | |
dc.identifier.cristin | 2183439 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 2 | |