Results 1 to 10 of about 28,560 (168)
Minimum chi-square method for estimating population size in capture-recapture experiments. [PDF]
PLoS ONE, 2023 Closed population capture-recapture estimation of population size is difficult under heterogeneous capture probabilities. We introduce the minimum chi-square method which can handle multi-occasion capture-recapture data. It complements likelihood methods
Yuyan Zheng +3 more
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Improving estimates of pertussis burden in Ontario, Canada 2010-2017 by combining validation and capture-recapture methodologies. [PDF]
PLoS ONE, 2023 An underestimation of pertussis burden has impeded understanding of transmission and disallows effective policy and prevention to be prioritized and enacted.
Shilo H McBurney +5 more
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From Capture–Recapture to No Recapture: Efficient SCAD Even After Software Updates [PDF]
SensorsSide-Channel-based Anomaly Detection (SCAD) offers a powerful and non-intrusive means of detecting unauthorized behavior in IoT and cyber–physical systems.
Kurt A. Vedros +3 more
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Estimating undiagnosed dementia in England using capture recapture techniques [PDF]
BMC GeriatricsBackground To our knowledge capture-recapture techniques have not been used to estimate dementia prevalence using routinely collected data in England, nor have they been used to estimate changes in undiagnosed dementia over time.
Naaheed Mukadam +5 more
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Rcapture: Loglinear Models for Capture-Recapture in R [PDF]
Journal of Statistical Software, 2007 This article introduces Rcapture, an R package for capture-recapture experiments. The data for analysis consists of the frequencies of the observable capture histories over the t capture occasions of the experiment. A capture history is a vector of zeros
Sophie Baillargeon, Louis-Paul Rivest
doaj +1 more source
Using visual encounter data to improve capture–recapture abundance estimates
Ecosphere, 2021 Capture–recapture studies are widely used in ecology to estimate population sizes and demographic rates. In some capture–recapture studies, individuals may be visually encountered but not identified.
Maxwell B. Joseph, Roland A. Knapp
doaj +1 more source
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
openaire +3 more sources
PLoS ONE, 2021 Accurate and precise abundance estimation is vital for informed wildlife conservation and management decision-making. Line transect surveys are a common sampling approach for abundance estimation.
Nathan J Crum +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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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
openaire +3 more sources