Results 181 to 190 of about 3,675 (193)

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.
openaire   +3 more sources

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.
openaire   +2 more sources

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
openaire   +1 more source

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
openaire   +1 more source

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
openaire   +1 more source

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
openaire   +1 more source

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

Biometrics, 2020
John M Plumb, Russell W Perry, Adam C Pope   +2 more
exaly  

Group heterogeneity in the Jolly–Seber-Tag-Loss model

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

Corrigendum: The Jolly-Seber Method Applied to Age-Stratified Populations

The Journal of Wildlife Management, 1985
openaire   +1 more source

An Extension of the Cormack-Jolly-Seber Model for Continuous Covariates with Application to Microtus pennsylvanicus

Biometrics, 2006
exaly