Results 171 to 180 of about 3,675 (193)

Quantifying the Effects of Unequal Catchabilities on Jolly-Seber Estimators Via Sample Coverage

Biometrics, 1995
Summary: Using the concept of sample coverage, we derive an approximation of the bias in the Jolly-Seber population size estimators [\textit{G. M. Jolly}, Biometrika 52, 225-247 (1965; Zbl 0141.366); \textit{G. A. F. Seber}, ibid., 249-259 (1965; Zbl 0141.366)] due to heterogeneity of capture probabilities. The resulting bias is expressed as a function
Hwang, W.-D., Chao, Anne
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Approximations of the Bias in the Jolly-Seber Capture-Recapture Model

Biometrics, 1973
exaly   +2 more sources

Estimation of Population Growth Rate using Jolly-Seber Method and Robust Design [PDF]

Communications for Statistical Applications and Methods, 2003
Mark-Recapture method for open population commonly use Jolly-Seber method. This method assumes that all animals are equally likely to be caught in each sample (the equal catchability). This objects are making introduction of Mark-Recapture method for open population and using the robust design that combine a open population method with close population
Jihye Kim, Taekyong Hong, JinSik Choi, Pyong Namkung   +3 more
exaly   +2 more sources

The Effects of Unequal Catchability on Jolly-Seber Estimates

Biometrics, 1973
If the number of immigrants per inter-sample period, and the probabilities of survival, capture and death on capture are all assumed constant in time, the "asymptotic" biases of the Jolly-Seber estimates arising from a failure of the hypothesis of equal catchability can be derived analytically.
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Fast and flexible Bayesian Jolly Seber models and application to populations with transients

2023
AbstractJolly Seber (JS) models are an appealing class of capture-recapture models for modeling open populations because they allow for inferences about an array of population parameters, including abundance, survival, and recruitment. Multiple formulations of JS models have been developed and include both maximum likelihood and Bayesian approaches ...
James F. Saracco, Charles B. Yackulic
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Mark-Recapture Jolly-Seber Abundance Estimation with Classification Uncertainty

2009
Wildlife managers and ecologists are often interested in estimating abundance of animals belonging to a certain fixed group (e.g. sex), but in some cases group membership cannot always be ascertained. Group assignment uncertainties can occur either through the inability to assign group membership because of a lack of group-specific characteristics (e.g.
Wendell O. Challenger, Carl J. Schwarz
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Distributional results for special cases of the jolly-seber model

Communications in Statistics - Theory and Methods, 1997
The multinomial-binomial approach to the Jolly-Seber capture- recapture model is used as a basis to derive explicit probability distributions for special cases of the Jolly-Seber model:no recruitment, or no mortality. Also given are the residual distributions that allow tests of these restricted models compared to the general Jolly-Seber model.
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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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Estimation of Time-Specific Survival Rates from Tag-Resighting Samples: A Generalization of the Jolly-Seber Model [PDF]

Biometrics, 1983
On étudie le comportement d'animaux capturés, marqués puis remis en liberté, en les observent plutot qu'en les recapturent on étudie ainsi l'influence de la capture et du marquage sur leur survie. On généralise ici les modèles de Cormack et de Jolly-Seber, qui ont le défaut de considérer que la capture n'influe pas sur leur survie, et dont les ...
Brownie, C., Robson, D. S.
exaly   +2 more sources

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 ...
exaly   +2 more sources