An improved Fabens method for estimation of growth parameters in the vonBertalanffy model with individual asymptotes

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.

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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.

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ID Code: 90616
Item Type: Journal Article
Refereed: Yes
Additional Information: ISI Document Delivery No.: ZN111
Times Cited: 14
Cited Reference Count: 13
Wang, YG
Natl research council canada
Keywords: tag-recapture data, variability, curve
DOI: 10.1139/cjfas-55-2-397
ISSN: 0706-652X
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: © 2001 NRC Canada
Deposited On: 22 Nov 2015 22:20
Last Modified: 22 Nov 2015 22:20

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