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A re-evaluation of a case-control model with contaminated controls for resource selection studies
Rota, Christopher T.; Millspaugh, Joshua J.; Kesler, Dylan C.; Lehman, Chad P.; Rumble, Mark A.; Jachowski, Catherine M. B. 2013. A re-evaluation of a case-control model with contaminated controls for resource selection studies. Journal of Animal Ecology. doi: 10.1111/1365-2656.12092.
A common sampling design in resource selection studies involves measuring resource attributes at sample units used by an animal and at sample units considered available for use. Few models can estimate the absolute probability of using a sample unit from such data, but such approaches are generally preferred over statistical methods that estimate a relative probability of use.
Keywords: Bayesian analysis, data cloning, Markov chain Monte Carlo sampling, maximum partial likelihood estimator, optimization, presence-only, prevalence, pseudo-absence, radiotelemetry, use-availability
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Publications: A re-evaluation of a case-control model with contaminated
controls for resource selection studies
Electronic Publish Date: June 26, 2013
Last Update: June 26, 2013
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