An improved Fabens method for estimation of growth parameters in the vonBertalanffy model with individual asymptotes
Data(s) |
1998
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Resumo |
In the analysis of tagging data, it has been found that the least-squares method, based on the increment function known as the Fabens method, produces biased estimates because individual variability in growth is not allowed for. This paper modifies the Fabens method to account for individual variability in the length asymptote. Significance tests using t-statistics or log-likelihood ratio statistics may be applied to show the level of individual variability. Simulation results indicate that the modified method reduces the biases in the estimates to negligible proportions. Tagging data from tiger prawns (Penaeus esculentus and Penaeus semisulcatus) and rock lobster (Panulirus ornatus) are analysed as an illustration. |
Identificador | |
Publicador |
NRC Research Press |
Relação |
DOI:10.1139/cjfas-55-2-397 Wang, Y-G. (1998) An improved Fabens method for estimation of growth parameters in the vonBertalanffy model with individual asymptotes. Canadian Journal of Fisheries and Aquatic Sciences, 55(2), pp. 397-400. |
Direitos |
© 2001 NRC Canada |
Fonte |
Science & Engineering Faculty |
Palavras-Chave | #tag-recapture data #variability #curve |
Tipo |
Journal Article |