Results 21 to 30 of about 22,842 (50)
Group heterogeneity in the Jolly-Seber-Tag-Loss model
Mark–recapture experiments involve capturing individuals from populations of interest, marking and releasing them at an initial sample time, and recapturing individuals from the same populations on subsequent occasions.
Cowen, LLE (15581108) +2 more
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The Jolly-Seber-Tag-Loss model with group heterogeneity
Mark-recapture experiments are performed to estimate population parameters such as survival probabilities. Animals are captured, tagged, released, and recaptured at subsequent time periods in order to obtain parameter information.
Selina Beatriz Gonzalez, Dr. Laura Cowen
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The Jolly-Seber Model and Maximum Likelihood Estimation Revisited [PDF]
8 pages, 1 article*The Jolly-Seber Model and Maximum Likelihood Estimation Revisited* (Kremers, Walter K.) 8 ...
Kremers, Walter K. +3 more
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We propose a Bayesian hierarchical Jolly-Seber model that can accommodate a semiparametric functional relationship between external covariates and capture probabilities, individual heterogeneity in departure due to an internal time-varying covariate and ...
Holan, Scott H., +3 more
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This report describes the use of the Jolly-Seber method, a mark-recapture technique for estimating demographic parameters of open animal populations, meaning populations where processes such as mortality, recruitment, immigration, and emigration can ...
Lardeux, Frédéric
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Details of the simulation study of the Jolly-Seber extension to our spatially explicit capture–recapture ...
J. Andrew Royle (111267) +3 more
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Estimation of Survival Rates from a Jolly-Seber Model with Tag Loss [PDF]
22 pages, 1 article*Estimation of Survival Rates from a Jolly-Seber Model with Tag Loss* (Kremers, Walter K.) 22 ...
Kremers, Walter K. +3 more
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Estimation of Time-Specific Survival Rates from Tag-Resighting Samples: A Generalization of the Jolly-Seber Model [PDF]
33 pages, 1 article*Estimation of Time-Specific Survival Rates from Tag-Resighting Samples: A Generalization of the Jolly-Seber Model* (Brownie, C.; Robson, D.
Brownie, C. +4 more
core
File List pr_infection_model.txt (MD5: cd685fbdf0eedad7613c370ec0e4847a) zoospore_load_model.txt (MD5: a135ca5b1cc6b7af5dbc749bbabb43db) CJS_model.txt (MD5: cc0bf7a426c7ddd03a4219b1677a7a72) simulation_code.txt (
Geoffrey W. Heard (700897) +3 more
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This project includes data and R code needed to reproduce results reported in the paper "Fast and flexible Bayesian Jolly Seber models and application to populations with transients"
Charles Yackulic, James Saracco
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