Results 151 to 160 of about 3,647 (182)

Effects of ophidiomycosis on movement, survival, and reproduction of eastern foxsnakes (Pantherophis vulpinus). [PDF]

Sci Rep
Dillon RM, Paterson JE, Manorome P, Ritchie K, Shirose L, Slavik E, Davy CM.   +6 more
europepmc   +1 more source

Inbreeding avoidance and cost in a small, isolated trout population. [PDF]

Proc Biol Sci
Bell DA, Kovach RP, Whiteley AR.
europepmc   +1 more source

Continuous, individual, time-dependent covariates in the Cormack-Jolly-Seber model

, 2003
openaire   +1 more source

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The Jolly–Seber Model with Tag Loss

Biometrics, 2006
Summary Tag loss in mark‐recapture experiments is a violation of one of the Jolly–Seber model assumptions. It causes bias in parameter estimates and has only been dealt with in an ad hoc manner. We develop methodology to estimate tag retention and abundance in double‐tagging mark‐recapture experiments.
Cowen, Laura, Schwarz, Carl J.
openaire   +3 more sources

Open Capture–Recapture Models with Heterogeneity: II. Jolly–Seber Model

Biometrics, 2009
Summary 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, Pollock, Kenneth H., Norris, James L.   +2 more
openaire   +3 more sources

Open Capture‐Recapture Models with Heterogeneity: I. Cormack‐Jolly‐Seber Model

Biometrics, 2003
Summary.  In open population capture‐recapture studies, it is usually assumed that similar animals (e.g., of the same sex and age group) have similar survival rates and capture probabilities. These assumptions are generally perceived to be an oversimplification, and they can lead to incorrect model selection and biased parameter estimates. Allowing for
Pledger, Shirley, Pollock, Kenneth H., Norris, James L.   +2 more
openaire   +2 more sources

Cormack–Jolly–Seber model with environmental covariates: A P‐spline approach

Biometrical Journal, 2012
In 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.
openaire   +3 more sources

Objective prior distributions for Jolly‐Seber models of zero‐augmented data

Biometrics, 2020
AbstractStatistical 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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Basic Program for Calculating Jolly-Seber Population Parameters

Bulletin of the Entomological Society of America, 1986
A 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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A Bayesian Approach to the Multistate Jolly–Seber Capture–Recapture Model

Biometrics, 2007
Summary 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
openaire   +4 more sources