A maximum likelihood approach for estimating growth from tag–recapture data

Wang, You-Gan, Thomas, Mervyn R., & Somers, Ian F. (1995) A maximum likelihood approach for estimating growth from tag–recapture data. Canadian Journal of Fisheries and Aquatic Sciences, 52(2), pp. 252-259.

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The Fabens method is commonly used to estimate growth parameters k and l infinity in the von Bertalanffy model from tag-recapture data. However, the Fabens method of estimation has an inherent bias when individual growth is variable. This paper presents an asymptotically unbiassed method using a maximum likelihood approach that takes account of individual variability in both maximum length and age-at-tagging. It is assumed that each individual's growth follows a von Bertalanffy curve with its own maximum length and age-at-tagging. The parameter k is assumed to be a constant to ensure that the mean growth follows a von Bertalanffy curve and to avoid overparameterization. Our method also makes more efficient use nf thp measurements at tno and recapture and includes diagnostic techniques for checking distributional assumptions. The method is reasonably robust and performs better than the Fabens method when individual growth differs from the von Bertalanffy relationship. When measurement error is negligible, the estimation involves maximizing the profile likelihood of one parameter only. The method is applied to tag-recapture data for the grooved tiger prawn (Penaeus semisulcatus) from the Gulf of Carpentaria, Australia.

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ID Code: 90488
Item Type: Journal Article
Refereed: Yes
Keywords: tiger prawn, penaeus-semisulcatus, western gulf, carpentaria, parameters, esculentus
DOI: 10.1139/f95-025
ISSN: 0706-652X
Divisions: Current > Schools > School of Mathematical Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 18 Nov 2015 04:55
Last Modified: 18 Nov 2015 04:55

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