Estimating equations for parameters in stochastic growth models from tag-recapture data.
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 rock lobsters to assess the possible seasonal effect on growth.
Wang
Y G
YG
CSIRO Division of Mathematical and Information Sciences, Cleveland, Queensland, Australia. ygwang@hsph.harvard.edu
D000818:Animals; D001699:Biometry; D003627:Data Interpretation, Statistical; D006128:Growth; D016018:Least-Squares Analysis; D008954:Models, Biological; D013269:Stochastic Processes