An empirical weight-at-age approach reduces estimation bias compared to modeling parametric growth in integrated, statistical stock assessment models when growth is time varying

Fisheries Research

Volumn 180, Issue , 2016, Pages 119-127

  Kuriyama, Peter T ^a   Ono, Kotaro ^a   Hurtado Ferro, Felipe ^a   Hicks, Allan C ^b   Taylor, Ian G ^b   Licandeo, Roberto R ^c   Johnson, Kelli F ^a   Anderson, Sean C ^d   Monnahan, Cole C ^a   Rudd, Merrill B ^a   Stawitz, Christine C ^a   Valero, Juan L ^e  

^a UNIVERSITY OF WASHINGTON   (United States)

^b NORTHWEST FISHERIES SCIENCE CENTER   (United States)

^c UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^d SIMON FRASER UNIVERSITY   (Canada)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Empirical weight at age information; Fisheries stock assessment; Ss3sim; Stock Synthesis; Time varying growth

Indexed keywords

EID: 84964345044     PISSN: 01657836     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fishres.2015.09.007     Document Type: Article

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