Investigations of potential bias in the estimation of u using Pradel's (1996) model for capture-recapture data
By J. Hines, James D. Nichols. 2002
81 citations recorded by the source corpus.
Subfields: Ecology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/c7a54daacf35cc437caf5f99bec855ec0e316177
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Bruce N. McLellan
- John Boulanger
- M. Proctor
- J. G. Woods
- C. Strobeck
- Steven C. Amstrup
- Bryan F. J. Manly
- T. Mcdonald
In Statistics and Probability
- M. Proctor
- John Boulanger
- Bruce N. McLellan
- J. G. Woods
- C. Strobeck
- Bryan F. J. Manly
- Steven C. Amstrup
- T. Mcdonald
Citations in the corpus
- SAMPLING DESIGN AND BIAS IN DNA-BASED CAPTURE–MARK–RECAPTURE POPULATION AND DENSITY ESTIMATES OF GRIZZLY BEARS (2004, methodology): “For example, the Pradel model (Pradel 1996) in program MARK estimates population rate of change and is more robust to heterogeneity of capture probabilities such as cub bias and closure violation (Schwarz 2001, Franklin 2002, Hines and Nichols 2002, Nichols and Hines 2002, Williams et al. 2002).”
- Handbook of Capture-Recapture Analysis (2010, methodology): “The basic assumptions are the same as for the JS and superpopulation approaches and are discussed with respect to this set of models by Hines and Nichols (2002).”
- The effects of habitat, climate, and Barred Owls on long-term demography of Northern Spotted Owls (2016, unknown): “However, for general models with time-specific capture and survival probabilities, the first and last estimates (k1, kk 1) were confounded with other parameters, and the second estimate was frequently biased (k2; Hines and Nichols 2002).”