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
Titel:
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
Auteur:
Kuriyama, Peter T. Ono, Kotaro Hurtado-Ferro, Felipe Hicks, Allan C. Taylor, Ian G. Licandeo, Roberto R. Johnson, Kelli F. Anderson, Sean C. Monnahan, Cole C. Rudd, Merrill B. Stawitz, Christine C. Valero, Juan L.