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Bayesian Estimation of Animal Abundance for Line Transect Sampling

Rohana J. Karunamuni and Terrance J. Quinn II
Biometrics
Vol. 51, No. 4 (Dec., 1995), pp. 1325-1337
DOI: 10.2307/2533263
Stable URL: http://www.jstor.org/stable/2533263
Page Count: 13
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Bayesian Estimation of Animal Abundance for Line Transect Sampling
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Abstract

This paper develops a Bayesian model for estimating the density of a closed animal population from data obtained by the line transect method. The detection function is assumed to be half-normal and the data are neither grouped nor truncated. A Bayes estimator is constructed with respect to a gamma prior density and two loss functions: relative squared error and absolute squared error. The Bayes estimator is compared with the maximum likelihood estimator as well as the Fourier series estimator using two data sets.

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