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The Jolly-seber model: More than just abundance

Journal of Agricultural, Biological, and Environmental Statistics, 2001
The Jolly-Seber model provides estimates of abundance, survival, and capture rates from capture-recapture experiments. This article will describe recent extensions to the following cases: (a) multiple-cohort studies where recruitment rates are compared among cohorts, (b) age-specific breeding proportions, and (c) population growth rates.
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A temporally stratified extension of space‐for‐time Cormack–Jolly–Seber for migratory animals

Biometrics, 2019
AbstractUnderstanding drivers of temporal variation in demographic parameters is a central goal of mark‐recapture analysis. To estimate the survival of migrating animal populations in migration corridors, space‐for‐time mark–recapture models employ discrete sampling locations in space to monitor marked populations as they move past monitoring sites ...
Dalton J. Hance   +3 more
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Quantifying the Effects of Unequal Catchabilities on Jolly-Seber Estimators Via Sample Coverage

Biometrics, 1995
Summary: Using the concept of sample coverage, we derive an approximation of the bias in the Jolly-Seber population size estimators [\textit{G. M. Jolly}, Biometrika 52, 225-247 (1965; Zbl 0141.366); \textit{G. A. F. Seber}, ibid., 249-259 (1965; Zbl 0141.366)] due to heterogeneity of capture probabilities. The resulting bias is expressed as a function
Hwang, W.-D., Chao, Anne
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The Effects of Unequal Catchability on Jolly-Seber Estimates

Biometrics, 1973
If the number of immigrants per inter-sample period, and the probabilities of survival, capture and death on capture are all assumed constant in time, the "asymptotic" biases of the Jolly-Seber estimates arising from a failure of the hypothesis of equal catchability can be derived analytically.
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The Jolly-Seber Method Applied to Age-Stratified Populations

The Journal of Wildlife Management, 1984
Presentation d'un modele mathematique d'estimation de la taille d'une population (on prend Branta canadensis comme exemple). Estimateurs du maximum de vraisemblance.
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Fast and flexible Bayesian Jolly Seber models and application to populations with transients

2023
AbstractJolly Seber (JS) models are an appealing class of capture-recapture models for modeling open populations because they allow for inferences about an array of population parameters, including abundance, survival, and recruitment. Multiple formulations of JS models have been developed and include both maximum likelihood and Bayesian approaches ...
James F. Saracco, Charles B. Yackulic
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Mark-Recapture Jolly-Seber Abundance Estimation with Classification Uncertainty

2009
Wildlife managers and ecologists are often interested in estimating abundance of animals belonging to a certain fixed group (e.g. sex), but in some cases group membership cannot always be ascertained. Group assignment uncertainties can occur either through the inability to assign group membership because of a lack of group-specific characteristics (e.g.
Wendell O. Challenger, Carl J. Schwarz
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Distributional results for special cases of the jolly-seber model

Communications in Statistics - Theory and Methods, 1997
The multinomial-binomial approach to the Jolly-Seber capture- recapture model is used as a basis to derive explicit probability distributions for special cases of the Jolly-Seber model:no recruitment, or no mortality. Also given are the residual distributions that allow tests of these restricted models compared to the general Jolly-Seber model.
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Comparison of enumeration and Jolly-Seber estimation of population size in the common vole Microtus arvalis

Acta Theriologica, 2001
Capture-recapture data on common volesMicrotus arvalis (Pallas, 1779) in central Europe have been almost exclusively analysed by means of the enumeration technique (minimum number alive or calendar of catches). Here we compare enumeration and Jolly-Seber (JS) estimation of population size in the common vole using live-trapping data from an alfalfa ...
Josef Bryja   +4 more
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Modeling Individual Effects in the Cormack–Jolly–Seber Model: A State–Space Formulation

Biometrics, 2008
Summary In population and evolutionary biology, there exists considerable interest in individual heterogeneity in parameters of demographic models for open populations. However, flexible and practical solutions to the development of such models have proven to be elusive.
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