Index Catalog // ScholarsArchive@OSU

Creator:: Helu, Siosaia Langitoto
Abstract:: Statistical modeling has evolved around building increasingly more complex models, even though it is common knowledge among statisticians that an optimal model size usually exists for any given data set. Having overly complex models leads to imprecise parameter estimates and tends to increase the subjective role of the modeler, which...
Resource Type:: Masters Thesis
Full Text:: Model Selection Criteria and their Application to the Stock Synthesis Assessment Program. Abstract

Creator:: Owashi, Brandon R.
Abstract:: Depletion-Based Stock Reduction Analysis (DB-SRA; Dick and MacCall, 2011) is a catch-only fisheries stock assessment model that has been developed to estimate an overfishing limit (OFL) in data-poor situations. DB-SRA projects the biomass trajectories of a stock by means of a catch time series and five parameters: the instantaneous, per...
Resource Type:: Masters Thesis
Full Text:: ) is a catch-only fisheries stock assessment model that has been developed to estimate an overfishing

Creator:: Denson, LaTreese S.
Abstract:: Stock assessments use statistical models and empirical data to re-create the population dynamics of a stock in order to provide estimates of biomass and fishing mortality rates to inform fisheries management. Fish stocks are not uniformly distributed across spatial regions, but stock assessments typically ignore stock spatial structure, for the...
Resource Type:: Masters Thesis
Full Text:: assessment software. An operating model is used to simulate fish population dynamics influenced by spatial

ScholarsArchive@OSU