Author: Tounkara Fodé Rivest Louis-Paul
Publisher: Wiley-Blackwell
E-ISSN: 1541-0420|71|3|721-730
ISSN: 0006-341X
Source: Biometrics, Vol.71, Iss.3, 2015-09, pp. : 721-730
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Abstract
In capture–recapture studies, the use of individual covariates has been recommended to get stable population estimates. However, some residual heterogeneity might still exist and ignoring such heterogeneity could lead to underestimating the population size (N). In this work, we explore two new models with capture probabilities depending on both covariates and unobserved random effects, to estimate the size of a population. Inference techniques including Horvitz–Thompson estimate and confidence intervals for the population size, are derived. The selection of a particular model is carried out using the Akaike information criterion (AIC). First, we extend the random effect model of Darroch et al. (1993, Journal of American Statistical Association
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