Results 131 to 140 of about 824 (154)
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A temporally stratified extension of space‐for‐time Cormack–Jolly–Seber for migratory animals
Biometrics, 2019AbstractUnderstanding 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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The Effects of Unequal Catchability on Jolly-Seber Estimates
Biometrics, 1973If 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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Fast and flexible Bayesian Jolly Seber models and application to populations with transients
2023Abstract Jolly 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.
James F. Saracco, Charles B. Yackulic
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Estimation of Survival from Capture–Recapture Data Using the Cormack–Jolly–Seber Model
2012Michael Schaub, Marc Kery
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Quantifying the Effects of Unequal Catchabilities on Jolly-Seber Estimators Via Sample Coverage
Biometrics, 1995Summary: 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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Biometrics, 2005
SummaryRecent developments in the Cormack–Jolly–Seber (CJS) model for analyzing capture–recapture data have focused on allowing the capture and survival rates to vary between individuals. Several methods have been developed in which capture and survival are functions of auxiliary variables that may be discrete, constant over time, or apply to the ...
Bonner, S. J., Schwarz, C. J.
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SummaryRecent developments in the Cormack–Jolly–Seber (CJS) model for analyzing capture–recapture data have focused on allowing the capture and survival rates to vary between individuals. Several methods have been developed in which capture and survival are functions of auxiliary variables that may be discrete, constant over time, or apply to the ...
Bonner, S. J., Schwarz, C. J.
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Distributional results for special cases of the jolly-seber model
Communications in Statistics - Theory and Methods, 1997The 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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The Jolly-Seber Method Applied to Age-Stratified Populations
The Journal of Wildlife Management, 1984Presentation 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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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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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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Canadian Journal of Fisheries and Aquatic Sciences, 1987
Handling mortality occurs in mark–recapture experiments if animals handled and released in a given sample have a higher mortality rate than animals that were alive but not sampled. This violates the assumption of equal survival required for forming the Jolly–Seber estimates of population abundance, survival, and recruitment.
A. N. Arnason, K. H. Mills
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Handling mortality occurs in mark–recapture experiments if animals handled and released in a given sample have a higher mortality rate than animals that were alive but not sampled. This violates the assumption of equal survival required for forming the Jolly–Seber estimates of population abundance, survival, and recruitment.
A. N. Arnason, K. H. Mills
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