Simulation testing the robustness of stock assessment models to error: some results from the ICES strategic initiative on stock assessment methods

Autor: Victor Restrepo, James N. Ianelli, Alberto G. Murta, J. A. A. De Oliveira, Ernesto Jardim, Peter-John F. Hulson, Yi-Jay Chang, Niels T. Hintzen, Jonathan J. Deroba, Douglas P. Swain, Mark Dickey-Collas, Steven X. Cadrin, Carmen Fernández, Paul D. Spencer, Deborah M. Miller, G. G. Thompson, Yimin Ye, Dana H. Hanselman, Anders Nielsen, Laurence T. Kell, Leire Ibaibarriaga, Christopher M. Legault, Coby L. Needle, Joseph M. O’Malley, Catherine M. Dichmont, Doug S Butterworth, Richard D. Methot, C L de Moor, Allana Cristina Ribeiro da Silva, Michel Bertignac, Ana M. Parma, J. Blaylock, Juan L. Valero, Cristian M. Canales, M. Mood

Publikováno v: CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
ICES Journal of Marine Science, 72(1), 19-30
ICES Journal of Marine Science 72 (2015) 1

The World Conference on Stock Assessment Methods (July 2013) included a workshop on testing assessment methods through simula- tions. The exercise was made up of two steps applied to datasets from 14 representative fish stocks from around the world.

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