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

标题
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
作者
关键词
Empirical weight-at-age information, Fisheries stock assessment, Time-varying growth, ss3sim, Stock Synthesis
出版物
FISHERIES RESEARCH
Volume 180, Issue -, Pages 119-127
出版商
Elsevier BV
发表日期
2015-09-30
DOI
10.1016/j.fishres.2015.09.007

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