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Maximum ikelihood estimation for the double-count method with independent observers

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Bryan F.J. Manly, Lyman L. McDonald, and Gerald W. Garner, 1996, Maximum ikelihood estimation for the double-count method with independent observers: Journal of Agricultural, Biological, and Environmental Statistics, v. 1, iss. 2.

Summary

Data collected under a double-count protocol during line transect surveys were analyzed using new maximum likelihood methods combined with Akaike's information criterion to provide estimates of the abundance of polar bear (Ursus maritimus Phipps) in a pilot study off the coast of Alaska. Visibility biases were corrected by modeling the detection probabilities using logistic regression functions. Independent variables that influenced the detection probabilities included perpendicular distance of bear groups from the flight line and the number of individuals in the groups. A series of models were considered which vary from (1) the simplest, where the probability of detection was the same for both observers and was not affected by either [...]

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Type Scheme Key
local-index unknown 70182756
local-pk unknown 70182756
series unknown Journal of Agricultural, Biological, and Environmental Statistics

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citationTypeArticle
journalJournal of Agricultural, Biological, and Environmental Statistics
languageEnglish
parts
typevolume
value1
typeissue
value2

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