Estimation of growth parameters from multiple-recapture data

Wang, You-Gan (2004) Estimation of growth parameters from multiple-recapture data. Biometrics, 60 3: 670-675. doi:10.1111/j.0006-341X.2004.00216.x

Author Wang, You-Gan
Title Estimation of growth parameters from multiple-recapture data
Journal name Biometrics   Check publisher's open access policy
ISSN 0006-341X
Publication date 2004-09
Sub-type Article (original research)
DOI 10.1111/j.0006-341X.2004.00216.x
Volume 60
Issue 3
Start page 670
End page 675
Total pages 6
Place of publication Oxford, United Kingdom
Publisher Wiley-Blackwell
Language eng
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.
Keyword Estimating equation
Growth estimation
Individual variability
Multiple recaptures
Random effects
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Mathematics and Physics
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Citation counts: TR Web of Science Citation Count  Cited 7 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 7 times in Scopus Article | Citations
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Created: Wed, 17 Nov 2010, 14:01:16 EST