The efficient integration of abundance and demographic data
By Panagiotis Besbeas, J. Lebreton, Byron J. T. Morgan. 2003
94 citations recorded by the source corpus.
Subfields: Ecology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/e0180b578431cb84d16d38b8b4618a0c4f688bbe
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- D. MacKenzie
- James D. Nichols
- L. Bailey
- L. Thomas
- J. Lebreton
- Michael Schaub
- Steven C. Amstrup
- Bryan F. J. Manly
In Statistics and Probability
- James D. Nichols
- L. Bailey
- Michael Schaub
- T. Mcdonald
- Steven C. Amstrup
- Bryan F. J. Manly
- D. MacKenzie
- L. Thomas
Citations in the corpus
- DYNAMICAL AND STATISTICAL MODELS FOR EXPLOITED POPULATIONS † (2005, methodology): “The likelihood for this model can be integrated with the likelihood of a statistical model for estimating the parameters in the matrix of the state equation (see Besbeas et al., 2001, 2002).”
- IMPROVING INFERENCES IN POPULATION STUDIES OF RARE SPECIES THAT ARE DETECTED IMPERFECTLY (2005, methodology): “Thus an integrated estimation approach incorporating the two data types with a population model permits estimation of reproductive rate in addition to population growth and survival (Besbeas et al. 2002, 2003).”
- Testing the additive versus the compensatory hypothesis of mortality from ring recovery data using a random effects model (2004, background): “When the number of parameters has been reduced by some model selection, this approximation will be quite valid (Besbeas et al., 2002), even considering as known without uncertainty.”
- Handbook of Capture-Recapture Analysis (2010, methodology): “Some joint models have been developed already (Freeman et al. 1992; Burnham 1993; Barker 1997, 1999; Powell et al. 2000, Besbeas et al. 2002, 2003) and others have been proposed (e.g., Bennetts et al. 2001; Nichols and Hines 2002).”
- A UNIFIED FRAMEWORK FOR MODELLING WILDLIFE POPULATION DYNAMICS † (2005, methodology): “This approach has been applied with success to several ornithological time series by Besbeas et al. (2002, 2003).”