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.

View at publisher

Abstract

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.

Impact and interest:

15 citations in Web of Science®
Search Google Scholar™

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: 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
Ottawa
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

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page