Estimation in Ricker's two-release method: a Bayesian approach

Title: Estimation in Ricker's two-release method: a Bayesian approach
Creator: Lee, Shen-Ming; Chen, Cathy W. S.; Gerlach, Richard H.; Huang, Li-Hui
Relation: Australian & New Zealand Journal of Statistics Vol. 48, Issue 2, p. 157-169
Publisher Link: http://dx.doi.org/10.1111/j.1467-842X.2006.00432.x
Publisher: Wiley-Blackwell Publishing Asia
Resource Type: journal article
Date: 2006
Description: The Ricker’s two-release method is a simplified version of the Jolly-Seber method, from Seber’s Estimation of Animal Abundance (1982), used to estimate survival rate and abundance in animal populations. This method assumes there is only a single recapture sample and no immigration, emigration or recruitment. In this paper, we propose a Bayesian analysis for this method to estimate the survival rate and the capture probability, employing Markov chain Monte Carlo methods and a latent variable analysis. The performance of the proposed method is illustrated with a simulation study as well as a real data set. The results show that the proposed method provides favourable inference for the survival rate when compared with the modified maximum likelihood method.
Subject: Gibbs sampling; Markov chain Monte Carlo method; missing value; open population; Ricker’s two-release method; survival rate
Identifier: http://hdl.handle.net/1959.13/927699
Identifier: uon:10219
Identifier: ISSN:1369-1473
Language: eng
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