Accounting for non‐independent detection when estimating abundance of organisms with a Bayesian approach
Open Access
- 26 April 2011
- journal article
- Published by Wiley in Methods in Ecology and Evolution
- Vol. 2 (6), 595-601
- https://doi.org/10.1111/j.2041-210x.2011.00113.x
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- Bird population density estimated from acoustic signalsJournal of Applied Ecology, 2009
- ESTIMATING ABUNDANCE FROM BIRD COUNTS: BINOMIAL MIXTURE MODELS UNCOVER COMPLEX COVARIATE RELATIONSHIPSOrnithology, 2008
- Estimation of Detection Probability in Manatee Aerial Surveys at a Winter Aggregation SiteThe Journal of Wildlife Management, 2007
- Importance of Well‐Designed Monitoring Programs for the Conservation of Endangered Species: Case Study of the Snail KiteConservation Biology, 2007
- Correlated binomial models and correlation structuresJournal of Physics A: General Physics, 2006
- Modelling occurrence and abundance of species when detection is imperfectOikos, 2005
- R2WinBUGS: A Package for RunningWinBUGSfromRJournal of Statistical Software, 2005
- N‐Mixture Models for Estimating Population Size from Spatially Replicated CountsBiometrics, 2004
- Binary Regression Using an Extended Beta-Binomial Distribution, With Discussion of Correlation Induced by Covariate Measurement ErrorsJournal of the American Statistical Association, 1986
- Binary Regression Using an Extended Beta-Binomial Distribution, with Discussion of Correlation Induced by Covariate Measurement ErrorsJournal of the American Statistical Association, 1986