Modelling Complexity and Uncertainty in Fisheries Stock Assessment

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Title

Modelling Complexity and Uncertainty in Fisheries Stock Assessment

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Description

Stock assessment models are used to determine the population size of fish stocks. Although stock assessment models are complex, they still make simplifying assumptions. Generally, they treat each species separately, include little, if any, spatial structure, and may not adequately quantify uncertainty. These assumptions can introduce bias and can lead to incorrect inferences. This thesis is about more realistic models and their inference. This realism may be incorporated by explicitly modelli...

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Other

Date created

15 Nov, 2021

Creator

Webber, D'Arcy

URL

https://figshare.com/articles/thesis/Modelling_Complexity_and_Uncertainty_in_Fisheries_Stock_Asse...

Related subjects

Fisheries science / Stock assessment / Bayesian statistics / School: School of Mathematics, Statistics and Operations Research / 010401 Applied Statistics / 010406 Stochastic Analysis and Modelling / 050205 Environmental Management / 060207 Population Ecology / 960507 Ecosystem Assessment and Management of Marine Environments / 830205 Wild Caught Rock Lobster / 830204 Wild Caught Fin Fish (excl. Tuna) / Degree Discipline: Statistics and Operations Research / Degree Discipline: Applied Statistics / Degree Discipline: Environmental Studies / Degree Level: Doctoral / Degree Name: Doctor of Philosophy / Stochastic Analysis and Modelling / Population Ecology / Environmental Management / Applied Statistics

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