Results 161 to 170 of about 3,675 (193)
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Modeling Individual Effects in the Cormack–Jolly–Seber Model: A State–Space Formulation
Biometrics, 2008Summary 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.
J Andrew Royle
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Open Capture–Recapture Models with Heterogeneity: II. Jolly–Seber Model
Biometrics, 2009Summary Estimation of abundance is important in both open and closed population capture–recapture analysis, but unmodeled heterogeneity of capture probability leads to negative bias in abundance estimates. This article defines and develops a suite of open population capture–recapture models using finite mixtures to model heterogeneity of capture and ...
Pledger, Shirley +2 more
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A Bayesian Approach to the Multistate Jolly-Seber Capture-Recapture Model
Biometrics, 2007Summary This article considers a Bayesian approach to the multistate extension of the Jolly–Seber model commonly used to estimate population abundance in capture–recapture studies. It extends the work of George and Robert (1992, Biometrika79, 677–683), which dealt with the Bayesian estimation of a closed population with only a single state for all ...
Dupuis, Jérôme, Schwarz, Carl James
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Cormack–Jolly–Seber model with environmental covariates: A P‐spline approach
Biometrical Journal, 2012In capture–recapture models, survival and capture probabilities can be modelled as functions of time‐varying covariates, such as temperature or rainfall. The Cormack–Jolly–Seber (CJS) model allows for flexible modelling of these covariates; however, the functional relationship may not be linear.
Stoklosa, Jakub, Huggins, Richard M.
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Objective prior distributions for Jolly‐Seber models of zero‐augmented data
Biometrics, 2020AbstractStatistical models of capture‐recapture data that are used to estimate the dynamics of a population are known collectively as Jolly‐Seber (JS) models. State‐space versions of these models have been developed for the analysis of zero‐augmented data that include the capture histories of the observed individuals and an arbitrarily large number of ...
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A Modified Analysis of the Jolly-Seber Capture-Recapture Model
Biometrics, 1980exaly +2 more sources
Basic Program for Calculating Jolly-Seber Population Parameters
Bulletin of the Entomological Society of America, 1986A Basic program to compute the population parameters of the Jolly-Seber stochastic model for capture/recapture data is presented with an example. The program calculates the proportions and numbers of marked animals, the population size, the probability of survival, and the number of new animals entering the population as well as the standard errors for
M. S. Ibrahim, M. Trpis
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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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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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The Jolly-Seber Method Applied to Age-Stratified Populations
Journal of Wildlife Management, 1984Presentation d'un modele mathematique d'estimation de la taille d'une population (on prend Branta canadensis comme exemple). Estimateurs du maximum de vraisemblance.
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A temporally stratified extension of space‐for‐time Cormack–Jolly–Seber for migratory animals
Biometrics, 2019AbstractUnderstanding drivers of temporal variation in demographic parameters is a central goal of mark‐recapture analysis. To estimate the survival of migrating animal populations in migration corridors, space‐for‐time mark–recapture models employ discrete sampling locations in space to monitor marked populations as they move past monitoring sites ...
Dalton J. Hance +3 more
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