Brazilian Journal of Probability and Statistics

Bayesian analysis to correct false-negative errors in capture–recapture photo-ID abundance estimates

Cibele Q. da-Silva

Full-text: Open access

Abstract

Capture–recapture methods are largely used for estimating the size of some cetacean populations. The application of those methods for photo-identification data of recognizable individuals is very common. Poor quality photographs may lead the analyst to identify two sightings of the same individual as being different (false-negative errors). This kind of matching error inflates population size estimates. We develop a Bayesian approach to obtain bias corrected estimates of the population size N. The method can be used for Mt type capture–recapture models (Otis et al. Wildlife Monographs 62 (1978) 1–135) involving two or more sampling occasions. We used the methodology for simulated data.

Article information

Source
Braz. J. Probab. Stat. Volume 23, Number 1 (2009), 36-48.

Dates
First available: 18 June 2009

Permanent link to this document
http://projecteuclid.org/euclid.bjps/1245351237

Digital Object Identifier
doi:10.1214/09-BJPS002

Mathematical Reviews number (MathSciNet)
MR2575421

Citation

da-Silva, Cibele Q. Bayesian analysis to correct false-negative errors in capture–recapture photo-ID abundance estimates. Brazilian Journal of Probability and Statistics 23 (2009), no. 1, 36--48. doi:10.1214/09-BJPS002. http://projecteuclid.org/euclid.bjps/1245351237.


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