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Detecting significant retrospective patterns in state space fish stock assessment.
- Source :
-
Canadian Journal of Fisheries & Aquatic Sciences . 2023, Vol. 80 Issue 9, p1509-1518. 10p. - Publication Year :
- 2023
-
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. [ABSTRACT FROM AUTHOR]
- Subjects :
- *FISH populations
*STATISTICAL hypothesis testing
*DECISION making
Subjects
Details
- Language :
- English
- ISSN :
- 0706652X
- Volume :
- 80
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- Canadian Journal of Fisheries & Aquatic Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 171342865
- Full Text :
- https://doi.org/10.1139/cjfas-2022-0250