Trace-contrast models for capture-recapture without capture histories
type: Item
instance of: scholarly article
title: Trace-contrast models for capture-recapture without capture histories
zbMATH Open document ID: 1442.62211
DOI: 10.1214/16-STS551
author: R. M. Fewster
author: B. C. Stevenson
author: D. L. Borchers
published in: Statistical Science
publication date: 2018-10-02T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.ss/1464105041
Mathematics Subject Classification ID: 62M30
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6946225
zbMATH Keywords: camera-traps
zbMATH Keywords: mark recapture
zbMATH Keywords: natural tags
zbMATH Keywords: Neyman-Scott process
zbMATH Keywords: Palm likelihood estimation
zbMATH Keywords: rattus species
MaRDI profile type: Publication
cites work: Closed‐population capture–recapture modeling of samples drawn one at a time
cites work: Spatially Explicit Maximum Likelihood Methods for Capture-Recapture Studies
cites work: Estimates of survival from the sighting of marked animals
cites work: Q4792001
cites work: A Composite Likelihood Approach in Fitting Spatial Point Process Models
cites work: Explicit estimates from capture-recapture data with both death and immigration-stochastic model
cites work: Q3608237
cites work: Q3256936
cites work: Q5845150
cites work: Asymptotic Palm likelihood theory for stationary point processes
cites work: A note on the multiple-recapture census
cites work: Parameter Estimation and Model Selection for Neyman‐Scott Point Processes
cites work: Maximum likelihood estimation for model Mt,α for capture–recapture data with misidentification
cites work: An Estimating Function Approach to Inference for Inhomogeneous Neyman–Scott Processes
cites work: Incorporating Genotype Uncertainty into Mark-Recapture-Type Models For Estimating Abundance Using DNA Samples
description: scientific article; zbMATH DE number 6946225