Title: Editorial: Multi-model inference and model selection in Mexican Fisheries
Authors: KATSANEVAKIS STYLIANOS MARIOS
Citation: Ciencia Pesquera vol. 22 no. 1 p. 6-7
Publisher: CENTROS REGIONALES DE INVESTIGACIÓN PESQUERA (CRIP)
Publication Year: 2014
JRC N°: JRC89950
URI: http://www.inapesca.gob.mx/portal/documentos/publicaciones/REVISTA/Mayo2014/2-Editorial-en-ingles-CP22.pdf
http://publications.jrc.ec.europa.eu/repository/handle/JRC89950
Type: Articles in periodicals and books
Abstract: The information theory approach has been widely applied in Mexican fisheries in the last few years. This Special Issue on “Multi-model inference and model selection in Mexican Fisheries” provides the state of the art on this topic in Mexico. It includes studies investigating size at sexual maturity (of the shark Rhizoprionodon terraenovae, the thread herring Opisthonema libertate, and the rocky oyster Striostrea prismatica), and growth (of the cuatete Occidentarius platypogon, the gulf corvina Cynoscion othonopterus, the silky shark Carcharhinus falciformis, juvenile blue crabs Callinectes arcuatus, and Cortes Geoduck Panopea globosa). This Special Issue is an important collection of best practice examples in fisheries science, promoting the shift from the single-model approach to the more robust and less restricted by strict assumptions approach of multi-model inference.
JRC Directorate:Sustainable Resources

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