Prediction–variance relation in a state-space fish stock assessment model

Autor:	Olav Nikolai Breivik, Anders Nielsen, Casper Willestofte Berg
Rok vydání:	2021
Předmět:	SAM Mean-variance relationship Ecology Relation (database) Observation variance Statistics State space Aquatic Science Oceanography Fish stock Ecology Evolution Behavior and Systematics Mathematics Prediction variance
Zdroj:	Breivik, O N, Nielsen, A & Berg, C W 2021, ' Prediction–variance relation in a state-space fish stock assessment model ', ICES Journal of Marine Science, vol. 78, no. 10, fsab205, pp. 3650-3657 . https://doi.org/10.1093/icesjms/fsab205
ISSN:	1095-9289 1054-3139
Popis:	The state-space assessment model (SAM) is extended by allowing a functional relationship between observation variance and the corresponding prediction. An estimated relationship between observation variance and predicted value for each individual observation allows the model to assign smaller (or larger) variance to predicted larger log-observations. This relation is different from the usual assumption of constant variance of log-observations within age groups. The prediction–variance link is implemented and compared to the usual constant variance assumption for the official assessments of North East Arctic cod and haddock. For both of these stocks, the prediction–variance link is found to give a significant improvement.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57cc0fd9623dca8d5aeddbf37890011c https://doi.org/10.1093/icesjms/fsab205 Zobrazit plný text záznamu