Estimating equations for parameters in stochastic growth models from tag-recapture data

Wang, Y-G. (1999) Estimating equations for parameters in stochastic growth models from tag-recapture data. Biometrics, 55(3), pp. 900-903.

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James (1991, Biometrics 47, 1519-1530) constructed unbiased estimating functions for estimating the two parameters in the von Bertalanffy growth curve from tag-recapture data. This paper provides unbiased estimating functions for a class of growth models that incorporate stochastic components and explanatory variables. a simulation study using seasonal growth models indicates that the proposed method works well while the least-squares methods that are commonly used in the literature may produce substantially biased estimates. The proposed model and method are also applied to real data from tagged rack lobsters to assess the possible seasonal effect on growth.

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10 citations in Scopus
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9 citations in Web of Science®

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ID Code: 90613
Item Type: Journal Article
Refereed: Yes
Additional Information: ISI Document Delivery No.: 237XZ
Times Cited: 8
Cited Reference Count: 23
Wang, YG
International biometric soc
Keywords: bias, consistency, estimating functions, explanatory variable, individual variability, stochastic growth, individual variability, panulirus-ornatus, torres strait, rock lobster, temperature, curve, fishes
DOI: 10.1111/j.0006-341X.1999.00900.x
ISSN: 0006-341X
Divisions: Current > Institutes > Institute of Health and Biomedical Innovation
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 1999 Wiley Blackwell
Deposited On: 23 Nov 2015 00:30
Last Modified: 23 Nov 2015 00:30

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