Results 131 to 140 of about 787 (144)

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, Emil Tkadlec, Jiřina Nesvadbová, Jiří Gaisler, Jan Zejda   +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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Semiparametric inference for open populations using the Jolly–Seber model: a penalized spline approach

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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An Extension of the Cormack–Jolly–Seber Model for Continuous Covariates with Application toMicrotus pennsylvanicus

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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Using visible implant elastomer to study ammocoete populations with Cormack–Jolly–Seber models

Journal of Fish Biology, 2017
This 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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Detection of Handling Mortality and its Effects on Jolly–Seber Estimates for Mark–Recapture Experiments

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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Efficient implementation of the Metropolis-Hastings algorithm, with application to the Cormack–Jolly–Seber model

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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Approximately Unbiased Variance Estimation for the Jolly-Seber Mark-Recapture Model: Population Size

1985
Large 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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Effects of Permanent Trap Response in Capture Probability on Jolly-Seber Capture-Recapture Model Estimates

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, James E. Hines, Kenneth H. Pollock   +2 more
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Obtaining Confidence Limits on Parameters of the Jolly-Seber Model for Capture-Recapture Data

Biometrics, 1984
On propose quelques transformations de la methode pour les estimateurs des tailles de la population et des probabilites de ...
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