Results 141 to 150 of about 824 (154)

Bias and Loss of Precision Due to Tag Loss in Jolly–Seber Estimates for Mark–Recapture Experiments

Canadian Journal of Fisheries and Aquatic Sciences, 1981
A crucial, though often ignored, assumption of mark–recapture experiments is that animals do not lose their marks (tags). We present results of theoretical analyses of the effects of tag loss on estimates of population size ([Formula: see text]), survival ([Formula: see text]), births or new entries ([Formula: see text]), and on their standard errors (
A. N. Arnason, K. H. Mills
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Using the Jolly-Seber Model to Estimate Population Size, Mortality, and Recruitment for a Reservoir Fish Population

Transactions of the American Fisheries Society, 1984
Abstract A multiple mark-recapture experiment was conducted in which the Jolly-Seber model was used to estimate population size, survival, and recruitment of largemouth bass Micropterus salmoides in an unfished reservoir. Fish were marked with either two Floy tags or one Floy tag and a clipped fin.
Joseph E. Hightower, Ronnie J. Gilbert
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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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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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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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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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Approximations of the Bias in the Jolly-Seber Capture-Recapture Model

Biometrics, 1973
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Group heterogeneity in the Jolly–Seber-Tag-Loss model

Statistical Methodology, 2014
Laura L E Cowen, Caleb Gardner
exaly  

Estimating true instead of apparent survival using spatialCormack–Jolly–Seber models

Methods in Ecology and Evolution, 2014
Michael Schaub, J Andrew Royle
exaly  

A temporally stratified extension of space‐for‐time Cormack–Jolly–Seber for migratory animals

Biometrics, 2020
Dalton Hance, Adam Pope, Russell Perry   +2 more
exaly