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Bayesian Estimation of Animal Abundance for Line Transect Sampling
Rohana J. Karunamuni and Terrance J. Quinn II
Vol. 51, No. 4 (Dec., 1995), pp. 1325-1337
Published by: International Biometric Society
Stable URL: http://www.jstor.org/stable/2533263
Page Count: 13
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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.
Biometrics © 1995 International Biometric Society