Hierarchical Bayes estimation of hunting success rates

@article{He2004HierarchicalBE,
  title={Hierarchical Bayes estimation of hunting success rates},
  author={Zhuoqiong He and Dongchu Sun},
  journal={Environmental and Ecological Statistics},
  year={2004},
  volume={5},
  pages={223-236}
}
Although most post-season harvest surveys are conducted at the state level, the effective management of wildlife populations often requires estimates of hunting success rate, hunting pressure and harvest at the sub-area (such as management unit, regional, or county) level.Sample sizes for some sub-areas are often very small or even zero. Because of small sample sizes, estimates for small sub-areas often yield unacceptably large standard errors. In this article, a hierarchical Bayes model is… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 17 references

Bayesian analysis for the poly-Weibull distribution

J. O. Berger, D. Sun
Journal of the American Statistical Association • 1993
View 4 Excerpts
Highly Influenced

Bayesian analysis of binary survey data

T. W. F. Stroud
Canadian Journal of Statistics • 1994
View 4 Excerpts
Highly Influenced

Hierarchical Bayes predictive means and variances with application to sample survey inference

T. W. F. Stroud
Communiation in Statistics , Theory Methods • 1991
View 4 Excerpts
Highly Influenced

Properties of Estimators for the Gamma Distribution

Bowman, Shenton
1988
View 2 Excerpts
Highly Influenced

Bayesian inference for CAR

D. 33±45. Sun, R. K. Tsutakawa, Speckman P.L
1997
View 1 Excerpt

Bayesian inference for CAR ( 1 ) models with noninformative priors

D. Sun, R. K. Tsutakawa, L. SpeckmanP.
1997
View 1 Excerpt

Small area estimations: an appraisal

M. 721±40. Ghosh, J.N.K. Rao
Statistical Science, • 1994
View 2 Excerpts

Adaptive rejection sampling for Gibbs sampling

W. R. Gilks, P. Wild
Applied Statistics • 1992
View 2 Excerpts

Bayesian methods for mapping disease risk

D. Clayton, L. Bernardinelli
Geographical and Environmental Epidemiology : Methods for Small - Area Studies • 1992
View 1 Excerpt

Similar Papers

Loading similar papers…