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Description: |
10 pages : illustrations ; 27 cm. |
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Bibliography Note: |
Includes bibliographical references (page 7). |
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Summary, Etc. Note: |
Abstract: This paper presents some elementary applications of Bayesian statistics to problems faced by wildlife biologists. Bayesian confidence limits for frequency of occurrence are shown to be generally superior to classical confidence limits. Population density can be estimated from frequency data if the species is sparsely distributed relative to the size of the sample plot. For other situations, limits are developed based on the normal distribution and prior knowledge that density is non-negative, which insures that the lower confidence limit is non-negative. Conditions are describes under which Bayesian confidence limits are superior to those calculated with classical methods; examples are also given on how prior knowledge of the density can be used to sharpen inferences drawn from a new sample. |
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Action Note: |
will digitize 20090518 Queued for digitization May 18, 2009 miu pda |
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Additional Physical Forms: |
Online version: Johnson, Douglas H. Some Bayesian statistical techniques useful in estimating frequency and density. Washington, D.C. : U.S. Dept. of the Interior, Fish and Wildlife Service, 1977 (OCoLC)866870429 |