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

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Higgs, Megan D., William A. Link, Gary C. White, Mark A. Haroldson, and Daniel D. Bjornlie. 2013. Insights Into the Latent Multinomial Model Through Mark-Resight Data on Female Grizzly Bears With Cubs-of-the-Year. Journal of Agricultural, Biological, and Environmental Statistics. doi: 10.1007/s13253-013-0148-8

Summary

Mark-resight designs for estimation of population abundance are common and attractive to researchers. However, inference from such designs is very limited when faced with sparse data, either from a low number of marked animals, a low probability of detection, or both. In the Greater Yellowstone Ecosystem, yearly mark-resight data are collected for female grizzly bears with cubs-of-the-year (FCOY), and inference suffers from both limitations. To overcome difficulties due to sparseness, we assume homogeneity in sighting probabilities over 16 years of bi-annual aerial surveys. We model counts of marked and unmarked animals as multinomial random variables, using the capture frequencies of marked animals for inference about the latent multinomial [...]

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Type Scheme Key
local-index unknown 70168545
local-pk unknown 70168545
doi http://www.loc.gov/standards/mods/mods-outline-3-5.html#identifier doi:10.1007/s13253-013-0148-8
series unknown Journal of Agricultural, Biological, and Environmental Statistics

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citationTypeArticle
journalJournal of Agricultural, Biological, and Environmental Statistics
languageEnglish
parts
typevolume
value18
typeissue
value4
typePublication Place
valueAlexandria, VA

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