Insights into the latent multinomial model through mark-resight data on female grizzly bears with cubs-of-the-year
type: Item
instance of: scholarly article
title: Insights into the latent multinomial model through mark-resight data on female grizzly bears with cubs-of-the-year
zbMATH Open document ID: 1303.62074
author: William A. Link
author: Gary C. White
author: Mark A. Haroldson
author: Daniel D. Bjornlie
author: Megan Dailey Higgs
publication date: 2015-01-14T00:00:00Z
Mathematics Subject Classification ID: 62P12
zbMATH DE Number: 6386503
zbMATH Keywords: Bayesian
zbMATH Keywords: discrete uniform
zbMATH Keywords: Greater Yellowstone Ecosystem (GYE)
zbMATH Keywords: mark-recapture
zbMATH Keywords: population size
describes a project that uses: OpenBUGS
describes a project that uses: BUGS
describes a project that uses: JAGS
describes a project that uses: R
describes a project that uses: WinBUGS
describes a project that uses: Program MARK
describes a project that uses: BayesDA
describes a project that uses: MARK
MaRDI profile type: Publication
full work available at URL: s13253-013-0148-8
OpenAlex ID: W2060785662
cites work: Mark-recapture with multiple, non-invasive marks
cites work: Estimating Population Size for Sparse Data in Capture-Recapture Experiments
cites work: Evaluating estimators of the numbers of females with cubs-of-the-year in the Yellowstone grizzly bear population
cites work: Uncovering a Latent Multinomial: Analysis of Mark-Recapture Data with Misidentification
cites work: Improving estimates of abundance by aggregating sparse capture-recapture data
cites work: Estimating Abundance Using Mark–Resight When Sampling Is with Replacement or the Number of Marked Individuals Is Unknown
DOI: 10.1007/S13253-013-0148-8
published in: Journal of Agricultural, Biological and Environmental Statistics
description: scientific article; zbMATH DE number 6386503