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Tag loss and the Petersen mark-recapture experiment
Biometrika, 1981SUMMARY A problem in the Petersen capture-mark-recapture experiment (Seber, 1973, Chapter 3) is the possible loss of tags. The effect of such a loss on the usual estimate of population size and the estimate of its variance is investigated for both single and double tagging.
G. A. F. Seber, R. Felton
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2002
With data from one survey only, we can’t estimate abundance without making strong assumptions about capture probability. In the case of plot surveys, we assume we know it, and with distance sampling methods (Chapter 7) we assume “capture” is certain on the line or point. Depending on the application, these assumptions may be quite reasonable; when they
D. L. Borchers +2 more
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With data from one survey only, we can’t estimate abundance without making strong assumptions about capture probability. In the case of plot surveys, we assume we know it, and with distance sampling methods (Chapter 7) we assume “capture” is certain on the line or point. Depending on the application, these assumptions may be quite reasonable; when they
D. L. Borchers +2 more
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Mark-Recapture Estimation of a Salmon Smolt Population
Biometrics, 1994A mark-recapture experiment was conducted applying a two-sample stratified technique to estimate the number of Atlantic salmon smolts, Salmo salar, migrating out of the Conne River, Newfoundland. We developed a model where parameters are introduced to describe the mean time for the salmon to migrate between the release site and recapture site and to ...
C J, Schwarz, J B, Dempson
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On the accuracy of some mark-recapture estimators
Oecologia, 1973The behaviour of the mark-recapture estimators of Petersen, Bailey (triple catch) and Jolly and Seber are examined theoretically and empirically by means of simulation techniques. The correlation between the parameter [Formula: see text] and its associated variance is shown to be significant for all the estimators.
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Mark-Recapture Models for Line Transect Surveys
Biometrics, 1998Summary: One of the key assumptions of conventional line transect (LT) theory is that all animals in the observer's path are detected. When this assumption fails, simultaneous survey by two independent observers can be used to estimate detection probabilities and abundance.
Borchers, David L. +2 more
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Parsimonious Modelling of Capture-Mark-Recapture Studies
Biometrics, 1985A general multinomial modelling approach is proposed for capture-mark- recapture data from an open animal population. Within this framework a number of plausible alternative assumptions are suggested for survival probabilities, ingress times, and capture probabilities.
Crosbie, S. F., Manly, B. F. J.
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Mark-Recapture Models with Parameters Constant in Time
Biometrics, 1982The Jolly-Seber method, which allows for both death and immigration, is easy to apply but often requires a larger number of parameters to be estimated tha would otherwise be necessary. If (i) survival rate, phi, or (ii) probability of capture, p, or (iii) both phi and p can be assumed constant over the experimental period, models with a reduced number ...
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Trap mortality in mark-recapture studies
Environmental and Ecological Statistics, 2009When animals die in traps in a mark-recapture study, straightforward likelihood inferences are possible in a class of models. The class includes M0, Mt, and Mb as reported by White et al. (Los Alamos National Laboratory, LA-8787-NERP, pp 235, 1982), those that do not involve heterogeneity.
Fred L. Ramsey, Aaron Johnston
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2019
We consider two basic live-recapture models referred to as the CJS model (after Cormack–Jolly–Seber) that models the tagged data, and the JS model (after Jolly and Seber in Biometrika, 52:225–247, 1965), which also includes the untagged data. Likelihood methods as originally used are described, while Bayesian and random-effects methods have since been ...
George A. F. Seber, Matthew R. Schofield
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We consider two basic live-recapture models referred to as the CJS model (after Cormack–Jolly–Seber) that models the tagged data, and the JS model (after Jolly and Seber in Biometrika, 52:225–247, 1965), which also includes the untagged data. Likelihood methods as originally used are described, while Bayesian and random-effects methods have since been ...
George A. F. Seber, Matthew R. Schofield
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Variances of Mark-Recapture Estimates
Biometrics, 1993When mark-recapture data are analysed by log-linear models, as described by Cormack (1989, Biometrics 45, 395-413), the analysis is in terms of parameters that are related nonlinearly to the parameters of biological interest. For several models formulae are given expressing the variance of the interesting parameter estimates in terms of those provided ...
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