Hierarchical bayes estimation of hunting success rates

Environmental and Ecological Statistics

Volumn 5, Issue 3, 1998, Pages 223-236

  He, Zhuoqiong ^a,c   Sun, Dongchu ^b,c  

^a MISSOURI DEPARTMENT OF CONSERVATION   (United States)

^b UNIVERSITY OF MISSOURI   (United States)

^c PURDUE UNIVERSITY   (United States)

Author keywords

Bayes estimation; Harvest survey; Hierarchical model; Small area; Small sample size; Success rate

Indexed keywords

BAYESIAN ANALYSIS; HUNTING; WILDLIFE MANAGEMENT;

EID: 0032458426     PISSN: 13528505     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1009669302755     Document Type: Article

References (20)

1. Berger, J.O. and Sun, D. (1993) Bayesian analysis for the poly-Weibull distribution. Journal of the American Statistical Association, 88, 1412-18.
2. Besag, J., York, J. and Mollié, A. (1991) Bayesian image restoration, with two applications in spatial statistics (with discussion). Annals of the Institute of Statistical Mathematics, 43, 1-59.
3. Bowman and Shenton (1988) Properties of Estimators for the Gamma Distribution. Marcel Dekker Inc., New York.
4. Clayton, D. and Bernardinelli, L. (1992) Bayesian methods for mapping disease risk. In Geographical and Environmental Epidemiology: Methods for Small-Area Studies (eds P. Elliott, J. Cuzick, D. English, and Stern) Oxford University Press, Oxford.
5. Dempster, A.P., Rubin, D.B., and Tsutakawa, R.K. (1981) Estimation in covariance component models. Journal of the American Statistical Association, 76, 341-53.
6. Gelfand, A. and Smith, A.F.M. (1990) Sampling based approaches to calculating marginal densities. Journal of the American Statistical Association, 85, 398-409.
7. Geman, S. and Geman, A. (1984) Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 6, 721-40.
8. Ghosh, M. and Rao, J.N.K. (1994) Small area estimations: an appraisal. Statistical Science, 9, 55-93.
9. Gilks, W.R. and Wild, P. (1992) Adaptive rejection sampling for Gibbs sampling. Applied Statistics, 41, 337-48.
10. Kass, R.E. and Wasserman, L. (1996) The selection of prior distributions by formal rules, Journal of the American Statistical Association, 91, 1343-70.
11. Lindley, D.V. (1980) Approximate Bayesian methods. Trabajos Estadistica 59, 581-9.
12. Morris, C. (1983) Parametric empirical Bayes inference: theory and applications (with discussion). Journal of the American Statistical Association, 78, 47-65.
13. Stasny, E.A. (1991) Hierarchical models for the probabilities of a survey classification and nonresponse: an example from the National Crime Survey. Journal of the American Statistical Association, 86, 296-303.
14. Stroud, T.W.F. (1991) Hierarchical Bayes predictive means and variances with application to sample survey inference. Communiation in Statistics, Theory Methods, 20, 13-36.
15. Stroud, T.W.F. (1994) Bayesian analysis of binary survey data. Canadian Journal of Statistics, 22, 33-45.
16. Sun, D., Tsutakawa, R.K., and Speckman P.L. (1997) Bayesian inference for CAR (1) models with noninformative priors. Revising for Biometrika.
17. Tsutakawa, R.K. (1985) Estimation of cancer mortality rates: a Bayesian analysis of small frequencies. Biometrics, 41, 69-79.
18. Tsutakawa, R.K. (1988) Mixed model for analyzing geographic variability in mortality rates. Journal of the American Statistical Association, 83, 37-42.
19. Tsutakawa, R.K. Shoop, G.L., and Marienfeld, C.J. (1985) Empirical Bayes estimation of cancer mortality rates. Statistics in Medicine, 4, 201-12.
20. Vangilder, L.D. (1994) Turkey harvest and hunting pressure analysis. Missouri Department of Conservation, Federal Aid in Wildlife Restoration, Performance Report, Project W-13-R-50, Study 7. Job2.