Insights into the latent multinomial model through mark-resight data on female grizzly bears with cubs-of-the-year

DOI10.1007/s13253-013-0148-8zbMath1303.62074OpenAlexW2060785662MaRDI QIDQ486082

William A. Link, Gary C. White, Daniel D. Bjornlie, Mark A. Haroldson, Megan Dailey Higgs

Publication date: 14 January 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-013-0148-8

zbMATH Keywords

mark-recaptureBayesianpopulation sizediscrete uniformGreater Yellowstone Ecosystem (GYE)

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Related Items (1)

Maximum likelihood estimation for model M_t,α for capture–recapture data with misidentification

Uses Software

• R
• WinBUGS
• BUGS
• JAGS
• OpenBUGS
• BayesDA
• Program MARK
• MARK

Cites Work

• Evaluating estimators of the numbers of females with cubs-of-the-year in the Yellowstone grizzly bear population
• Improving estimates of abundance by aggregating sparse capture-recapture data
• Mark‐Recapture with Multiple, Non‐Invasive Marks
• Estimating Population Size for Sparse Data in Capture-Recapture Experiments
• Uncovering a Latent Multinomial: Analysis of Mark-Recapture Data with Misidentification
• Estimating Abundance Using Mark–Resight When Sampling Is with Replacement or the Number of Marked Individuals Is Unknown

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