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Filtering by: Subject Fish stock assessment -- Mathematical models Decade 1990-1999 Peer Reviewed No

Statistical model selection criteria and their application to the Stock Synthesis assessment program

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