Accounting for individual variability in the von Bertalanffy growth model

Wang, You-Gan & Thomas, Mervyn R. (1995) Accounting for individual variability in the von Bertalanffy growth model. Canadian Journal of Fisheries and Aquatic Sciences, 52(7), pp. 1368-1375.

View at publisher


Estimation of von Bertalanffy growth parameters has received considerable attention in fisheries research. Since Sainsbury (1980, Can. J. Fish. Aquat. Sci. 37: 241-247) much of this research effort has centered on accounting for individual variability in the growth parameters. In this paper we demonstrate that, in analysis of tagging data, Sainsbury's method and its derivatives do not, in general, satisfactorily account for individual variability in growth, leading to inconsistent parameter estimates (the bias does not tend to zero as sample size increases to infinity). The bias arises because these methods do not use appropriate conditional expectations as a basis for estimation. This bias is found to be similar to that of the Fabens method. Such methods would be appropriate only under the assumption that the individual growth parameters that generate the growth increment were independent of the growth parameters that generated the initial length. However, such an assumption would be unrealistic. The results are derived analytically, and illustrated with a simulation study. Until techniques that take full account of the appropriate conditioning have been developed, the effect of individual variability on growth has yet to be fully understood.

Impact and interest:

39 citations in Scopus
Search Google Scholar™
39 citations in Web of Science®

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 90489
Item Type: Journal Article
Refereed: Yes
Keywords: parameters, age
DOI: 10.1139/f95-132
ISSN: 0706-652X
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 18 Nov 2015 03:01
Last Modified: 18 Nov 2015 04:48

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page