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An Empirical Bayes Approach to Analyzing Recurring Animal Surveys

Douglas H. Johnson
Ecology
Vol. 70, No. 4 (Aug., 1989), pp. 945-952
Published by: Wiley
DOI: 10.2307/1941361
Stable URL: http://www.jstor.org/stable/1941361
Page Count: 8
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An Empirical Bayes Approach to Analyzing Recurring Animal Surveys
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Abstract

Recurring estimates of the size of animal populations are often required by biologists of wildlife managers. Because of cost or other constraints, estimates frequently lack the accuracy desired but cannot readily be improved by additional sampling. This report proposes a statistical method employing empirical Bayes (EB) estimators as alternatives to those customarily used to estimate population size, and evaluates them by a subsampling experiment on waterfowl surveys. EB estimates, especially a simple limited-translation version, were more accurate and provided shorter confidence intervals with greater coverage probabilities than customary estimates.

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