Estimating equations for removal data analysis
Wang, Y-G. (1999) Estimating equations for removal data analysis. Biometrics, 55(4), pp. 1263-1268.
We consider the problem of estimating a population size from successive catches taken during a removal experiment and propose two estimating functions approaches, the traditional quasi-likelihood (TQL) approach for dependent observations and the conditional quasi-likelihood (CQL) approach using the conditional mean and conditional variance of the catch given previous catches. Asymptotic covariance of the estimates and the relationship between the two methods are derived. Simulation results and application to the catch data from smallmouth bass show that the proposed estimating functions perform better than other existing methods, especially in the presence of overdispersion.
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|Item Type:||Journal Article|
|Additional Information:||ISI Document Delivery No.: 265BB
Times Cited: 6
Cited Reference Count: 25
International biometric soc
|Keywords:||estimating functions, Fisher information, likelihood, martingale, overdispersion, removal data, generalized estimating equations, estimating animal abundance, estimating population-size, extra-binomial variation, quasi-likelihood, linear-models, recapture, capture|
|Divisions:||Current > QUT Faculties and Divisions > Science & Engineering Faculty|
|Copyright Owner:||Copyright Wiley-Blackwell|
|Deposited On:||23 Nov 2015 00:26|
|Last Modified:||23 Nov 2015 00:26|
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