You are not currently logged in.
Access your personal account or get JSTOR access through your library or other institution:
If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. 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
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
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.
Preview not available
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