Results 1 to 10 of about 10,224 (115)
Spatial Capture-Recapture for Categorically Marked Populations with An Application to Genetic Capture-Recapture [PDF]
Ecosphere, 2018 Abstract Recently introduced unmarked spatial capture-recapture (SCR), spatial mark-resight (SMR), and 2-flank spatial partial identity models (SPIM) extend the domain of SCR to populations or observation systems that do not always allow for individual identity to be determined with certainty.
Ben C. Augustine +5 more
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Multistage hierarchical capture–recapture models
Environmetrics, 2023 AbstractEcologists increasingly rely on Bayesian methods to fit capture–recapture models. Capture–recapture models are used to estimate abundance while accounting for imperfect detectability in individual‐level data. A variety of implementations exist for such models, including integrated likelihood, parameter‐expanded data augmentation, and ...
Mevin B. Hooten +3 more
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Semiparametric Regression in Capture–Recapture Modeling [PDF]
Biometrics, 2006 SummaryCapture–recapture models were developed to estimate survival using data arising from marking and monitoring wild animals over time. Variation in survival may be explained by incorporating relevant covariates. We propose nonparametric and semiparametric regression methods for estimating survival in capture–recapture models.
Gimenez, Olivier +4 more
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Constant-Parameter Capture-Recapture Models [PDF]
Biometrics, 1986 Jolly (1982, Biometrics 38, 301-321) presented modifications of the Jolly-Seber model for capture-recapture data, which assume constant survival and/or capture rates. Where appropriate, because of the reduced number of parameters, these models lead to more efficient estimators than the Jolly-Seber model.
Brownie, Cavell +2 more
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Spatial Capture-Recapture [PDF]
Journal of Mammalogy, 2014 Royle, J. A., R. B. Chandler, R. Sollmann, and B. Gardner. 2014. Spatial Capture–Recapture. Academic Press, Waltham, Massachusetts, 577 pp. ISBN 978-0-12-405939-9, price (paper), $129.95.
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On Identifiability in Capture–Recapture Models
Biometrics, 2006 Summary We study the issue of identifiability of mixture models in the context of capture–recapture abundance estimation for closed populations. Such models are used to take account of individual heterogeneity in capture probabilities, but their validity was recently questioned by Link (2003, Biometrics59, 1123–1130) on the basis of their ...
Holzmann, Hajo +2 more
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Spatial Capture–Recapture Models
Statistical Science, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Borchers, David, Fewster, Rachel
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Flexible Behavioral Capture–Recapture Modeling
Biometrics, 2015 Summary We develop alternative strategies for building and fitting parametric capture–recapture models for closed populations which can be used to address a better understanding of behavioral patterns. In the perspective of transition models, we first rely on a conditional probability parameterization.
ALUNNI FEGATELLI, DANILO, TARDELLA, Luca
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Optimal sampling design for spatial capture–recapture [PDF]
Ecology, 2020 Abstract Spatial capture–recapture (SCR) has emerged as the industry standard for estimating population density by leveraging information from spatial locations of repeat encounters of individuals. The precision of density estimates depends fundamentally on the number and spatial configuration of traps.
Gates Dupont +3 more
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Capture-recapture methods [PDF]
Nature, 1979 Investigating Animal Abundance. By M. Begon. Pp. 97. (Edward Arnold: London, 1979.) Paperback £3.95.
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