Access the full text.
Sign up today, get DeepDyve free for 14 days.
(2016)
Applied Hierarchical Modeling in Ecology
R. B. Chandler, D. I. King, D. I. DeStefanao (2009)
Scrub‐shrub bird habitat associations at multiple spatial scales in beaver meadows in Massachusetts, 126
Matthew Schofield, R. Barker (2016)
50-Year-Old Curiosities: Ancillarity and Inference in Capture–Recapture ModelsStatistical Science, 31
B. Efron (1986)
Double exponential families and their use in generalized linear regression, 81
D. Otis, K. Burnham, G. White, David Anderson (1980)
Statistical inference from capture data on closed animal populationsWildlife Monographs
R. Cormack (1992)
Interval estimation for mark-recapture studies of closed populations.Biometrics, 48 2
R. Chandler, David King, S. DeStefano (2009)
Scrub-Shrub Bird Habitat Associations at Multiple Spatial Scales in Beaver Meadows in Massachusetts, 126
J. Royle (2004)
N‐Mixture Models for Estimating Population Size from Spatially Replicated CountsBiometrics, 60
(2015)
putational aspects of N - mixture models
M. Kéry, J. Royle, Hans Schmid (2005)
MODELING AVIAN ABUNDANCE FROM REPLICATED COUNTS USING BINOMIAL MIXTURE MODELSEcological Applications, 15
W. Link, J. Sauer (1997)
ESTIMATION OF POPULATION TRAJECTORIES FROM COUNT DATABiometrics, 53
W. Link, Jun Yoshizaki, L. Bailey, K. Pollock (2010)
Uncovering a Latent Multinomial: Analysis of Mark–Recapture Data with MisidentificationBiometrics, 66
W. James, C. Stein (1992)
Estimation with Quadratic Loss
F. V. Dénes, L. F. Silveira, S. R. Beissinger (2015)
Estimating abundance of unmarked animal populations: Accounting for imperfect detection and other sources of zero inflation, 6
J. Kruschke (2010)
Bayesian data analysis.Wiley interdisciplinary reviews. Cognitive science, 1 5
(1982)
Estimating Animal Abundance and Related Parameters
B. Efron (1986)
Double Exponential Families and Their Use in Generalized Linear RegressionJournal of the American Statistical Association, 81
R. Carroll, F. Lombard (1985)
A Note on N Estimators for the Binomial DistributionJournal of the American Statistical Association, 80
Francisco Dénes, L. Silveira, S. Beissinger (2015)
Estimating abundance of unmarked animal populations: accounting for imperfect detection and other sources of zero inflationMethods in Ecology and Evolution, 6
Liana Joseph, C. Elkin, T. Martin, Hugh Possinghami (2009)
Modeling abundance using N-mixture models: the importance of considering ecological mechanisms.Ecological applications : a publication of the Ecological Society of America, 19 3
IntroductionStrategies for inference about abundance N from count data under imperfect detection include: (i) capture–recapture modeling in which auxiliary data supplement the counts in order to allow direct inference about detection rates p; (ii) N‐mixture modelling in which no such auxiliary data are collected but instead the model is structured in order to allow inference about N and p (which is assumed constant after controlling for covariates, hereafter, “constant p”); or (iii) index models in which inference is made about relative abundance assuming constant p.N‐mixture models were developed by Royle () as an alternative to estimating abundance using tools such as capture–recapture that can be difficult, expensive, and impractical (Royle, ; Dennis et al., ). They are popular among field biologists and the original model of Royle () has been extended, for example, to model zero‐inflation, extra‐Poisson variation in abundance, and to relax the assumption of population closure between visits (see Dénes et al., , for a recent review).The idea that we can estimate both N and p without marking animals seems appealing. However, this economy of field effort imposes a cost on the analysis. Recaptures of marked animals provide auxiliary data for estimation of p; we can model
Biometrics – Wiley
Published: Jan 1, 2018
Keywords: ; ; ; ;
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.