Results 241 to 250 of about 2,025,649 (289)
Some of the next articles are maybe not open access.

Persistence models for mark-recapture

Environmental and Ecological Statistics, 2008
The stable of models available for analyzing mark-recapture data (Otis et al. Wild Momogr 66:135, 1978) includes those having behavioral characteristics, time variation, heterogeneity, along with combinations of those characteristics. This paper proposes use of a series of models based on the persistence model of Ramsey and Usner (Biometrics 59:331–339,
Fred L. Ramsey, Paul M. Severns
openaire   +1 more source

Point-Based Mark-Recapture Distance Sampling

Journal of Agricultural, Biological, and Environmental Statistics, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Laake, J. L.   +3 more
openaire   +1 more source

Tag loss and the Petersen mark-recapture experiment

Biometrika, 1981
SUMMARY 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
openaire   +1 more source

Simple mark-recapture

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
openaire   +1 more source

Mark-Recapture Estimation of a Salmon Smolt Population

Biometrics, 1994
A 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
openaire   +2 more sources

Mark-recapture models

Advances in Applied Probability, 1984
The interpretation of mark-recapture data depends on a probabilistic model for the biological system. The assumptions of the general model must be verified against what is known about the particular system. This talk considers the application of markrecapture methods to the estimation of salmon smolt migrations from Babine Lake, British Columbia.
openaire   +1 more source

Mark–recapture studies and demography

2008
AbstractPopulation ecologists track wild animals over their lifetimes using mark-recapture methods. Odonates are easily marked and remain near water bodies, allowing for high recapture rates. In recent years, the focus in mark-recapture models has switched from population size estimates to survival and recapture rate estimation, and from testing ...
Adolfo Cordero-Rivera, Robby Stoks
openaire   +1 more source

Mark-Recapture Models for Line Transect Surveys

Biometrics, 1998
Summary: 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
openaire   +1 more source

On the accuracy of some mark-recapture estimators

Oecologia, 1973
The 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.
openaire   +2 more sources

A semiparametric Bayesian approach for mark-recapture estimation

Model Assisted Statistics and Applications, 2013
This paper describes a semiparametric Bayesian approach for modelling mark-recapture data. A main assumption in modelling mark-recapture data is that survival probabilities are homogeneous. We relax this assumption by modelling survival probabilities as a function of two parameters which explain variations due to unknown biological and environmental ...
Saman Muthukumarana, Pulak Ghosh
openaire   +2 more sources

Home - About - Disclaimer - Privacy