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.
Publication type | Article |
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Publication Subtype | Journal Article |
Title | An empirical Bayes approach to analyzing recurring animal surveys |
Series title | Ecology |
DOI | 10.2307/1941361 |
Volume | 70 |
Issue | 4 |
Year Published | 1989 |
Language | English |
Publisher | Ecological Society of America |
Contributing office(s) | Northern Prairie Wildlife Research Center |
Description | 8 p. |
First page | 945 |
Last page | 952 |
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