Generalized linear Bayesian models for standardizing CPUE: an application to a squid-jigging fishery in the northwest Pacific Ocean

Generalized linear Bayesian models for standardizing CPUE: an application to a squid-jigging fishery in the northwest Pacific Ocean

Generalized linear Bayesian (GLBM) non-hierarchical and hierarchical models were developed for standardization of catch per unit effort (CPUE). The GLBM containing the covariates of month, latitude, sea surface temperature (SST), sea surface salinity (SSS) and sea level height (SLH) had the best fit...

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Bibliographic Details
Main Authors:	Jie Cao, Xinjun Chen, Yong Chen, Bilin Liu, Jin Ma, Siliang Li
Format:	Article
Language:	English
Published:	Consejo Superior de Investigaciones Científicas 2011-12-01
Series:	Scientia Marina
Subjects:	generalized linear bayesian models cpue standardization ommastrephes bartramii chinese squid-jigging fishery northwest pacific ocean
Online Access:	http://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/1291

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