Results 171 to 180 of about 3,647 (182)
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Journal of Statistical Computation and Simulation, 2013
When there are frequent capture occasions, both semiparametric and nonparametric estimators for the size of an open population have been proposed using kernel smoothing methods. While kernel smoothing methods are mathematically tractable, fitting them to data is computationally intensive.
Richard Huggins, Jakub Stoklosa
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When there are frequent capture occasions, both semiparametric and nonparametric estimators for the size of an open population have been proposed using kernel smoothing methods. While kernel smoothing methods are mathematically tractable, fitting them to data is computationally intensive.
Richard Huggins, Jakub Stoklosa
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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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Using visible implant elastomer to study ammocoete populations with Cormack–Jolly–Seber models
Journal of Fish Biology, 2017This study examined the efficacy of marking wild populations of lampreys with visible implant elastomer (VIE) for 6–18 months to examine ammocoete movements using Cormack–Jolly–Seber (CJS) open‐population models. These methods were tested on two lamprey populations in different river systems.
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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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Environmental and Ecological Statistics, 2007
Judicious choice of candidate generating distributions improves efficiency of the Metropolis-Hastings algorithm. In Bayesian applications, it is sometimes possible to identify an approximation to the target posterior distribution; this approximate posterior distribution is a good choice for candidate generation.
William A. Link, Richard J. Barker
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Judicious choice of candidate generating distributions improves efficiency of the Metropolis-Hastings algorithm. In Bayesian applications, it is sometimes possible to identify an approximation to the target posterior distribution; this approximate posterior distribution is a good choice for candidate generation.
William A. Link, Richard J. Barker
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Approximately Unbiased Variance Estimation for the Jolly-Seber Mark-Recapture Model: Population Size
1985Large sample variances for the Jolly-Seber estimates from a mark-recapture experiment are usually estimated by replacing unknown parameters by their estimates in the variance formulae obtained by the so-called delta method. These variance estimates are subject to large biases for small and moderate sized samples. To overcome this problem a new variance
G. A. F. Seber, B. F. J. Manly
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The Journal of Wildlife Management, 1984
The Jolly-Seber model (Jolly 1965, Seber 1965) is probably the most important open population model for use in capture-recapture experiments. Because of its importance and wide use, it is desirable to have knowledge of the effects of deviations from underlying model assumptions on resulting parameter estimates.
James D. Nichols +2 more
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The Jolly-Seber model (Jolly 1965, Seber 1965) is probably the most important open population model for use in capture-recapture experiments. Because of its importance and wide use, it is desirable to have knowledge of the effects of deviations from underlying model assumptions on resulting parameter estimates.
James D. Nichols +2 more
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Obtaining Confidence Limits on Parameters of the Jolly-Seber Model for Capture-Recapture Data
Biometrics, 1984On propose quelques transformations de la methode pour les estimateurs des tailles de la population et des probabilites de ...
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A Modified Analysis of the Jolly-Seber Capture-Recapture Model
Biometrics, 1980openaire +1 more source
Corrigendum: The Jolly-Seber Method Applied to Age-Stratified Populations
The Journal of Wildlife Management, 1985openaire +1 more source