N ‐Mixture Models for Estimating Population Size from Spatially Replicated Counts
From MaRDI portal
Publication:3435669
DOI10.1111/j.0006-341X.2004.00142.xzbMath1130.62380WikidataQ47425391 ScholiaQ47425391MaRDI QIDQ3435669
Publication date: 7 May 2007
Published in: Biometrics (Search for Journal in Brave)
Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05)
Related Items
An evaluation of the Bayesian approach to fitting the N-mixture model for use with pseudo-replicated count data ⋮ Computational aspects of N‐mixture models ⋮ Models for jointly estimating abundances of two unmarked site-associated species subject to imperfect detection ⋮ A hierarchical dependent Dirichlet process prior for modelling bird migration patterns in the UK ⋮ Computational efficiency and precision for replicated-count and batch-marked hidden population models ⋮ A model for analyzing clustered occurrence data ⋮ A General Modeling Framework for Open Wildlife Populations Based on the Polya Tree Prior ⋮ Wildlife population assessment: changing priorities driven by technological advances ⋮ Assessing the impacts of time-to-detection distribution assumptions on detection probability estimation ⋮ Population counts along elliptical habitat contours: hierarchical modeling using Poisson-lognormal mixtures with nonstationary spatial structure ⋮ Estimating reproduction and survival of unmarked juveniles using aerial images and marked adults ⋮ Spatially explicit models for inference about density in unmarked or partially marked populations ⋮ A Polya Tree Based Model for Unmarked Individuals in an Open Wildlife Population ⋮ Capitalizing on opportunistic data for monitoring relative abundances of species ⋮ Hierarchical modeling of cluster size in wildlife surveys ⋮ Bayesian spatial modeling of data from avian point count surveys ⋮ A Hierarchical Model to Estimate Fish Abundance in Alpine Streams by using Removal Sampling Data from Multiple Locations ⋮ Models for Estimating Abundance from Repeated Counts of an Open Metapopulation ⋮ Estimating the use of public lands: integrated modeling of open populations with convolution likelihood ecological abundance regression ⋮ Hierarchical Spatiotemporal Matrix Models for Characterizing Invasions ⋮ Posterior analysis of \(n\) in the binomial \((n,p)\) problem with both parameters unknown -- with applications to quantitative nanoscopy ⋮ Joint modeling of distances and times in point-count surveys ⋮ On the reliability of N-mixture models for count data ⋮ Bayesian binomial mixture models for estimating abundance in ecological monitoring studies
Uses Software
Cites Work