Please use this identifier to cite or link to this item: https://doi.org/10.1111/j.0006-341X.2004.00216.x
Title: Estimation of growth parameters from multiple-recapture data
Authors: Wang, Y.-G. 
Keywords: Estimating equation
Growth estimation
Individual variability
Multiple recaptures
Random effects
Issue Date: Sep-2004
Citation: Wang, Y.-G. (2004-09). Estimation of growth parameters from multiple-recapture data. Biometrics 60 (3) : 670-675. ScholarBank@NUS Repository. https://doi.org/10.1111/j.0006-341X.2004.00216.x
Abstract: This article develops a method for analysis of growth data with multiple recaptures when the initial ages for all individuals are unknown. The existing approaches either impute the initial ages or model them as random effects. Assumptions about the initial age are not verifiable because all the initial ages are unknown. We present an alternative approach that treats all the lengths including the length at first capture as correlated repeated measures for each individual. Optimal estimating equations are developed using the generalized estimating equations approach that only requires the first two moment assumptions. Explicit expressions for estimation of both mean growth parameters and variance components are given to minimize the computational complexity. Simulation studies indicate that the proposed method works well. Two real data sets are analyzed for illustration, one from whelks (Dicathais aegaota) and the other from southern rock lobster (Jasus edwardsii) in South Australia.
Source Title: Biometrics
URI: http://scholarbank.nus.edu.sg/handle/10635/105132
ISSN: 0006341X
DOI: 10.1111/j.0006-341X.2004.00216.x
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