A spatial model with ordinal responses for grazing impact data

Statistical Modeling

Volumn 4, Issue 2, 2004, Pages 127-143

  Brewer, Mark J ^a   Elston, David A ^a   Hodgson, Matthew E ^a   Stolte, Anneke M ^b   Nolan, Andrew J ^b   Henderson, David J ^b  

^a BIOMATHEMATICS AND STATISTICS SCOTLAND   (United Kingdom)

^b SCOTTISH CROP RESEARCH INSTITUTE   (United Kingdom)

Author keywords

assessment of model predictions; Bayesian spatial modelling; grazing animals; Markov chain Monte Carlo; ordinal response

Indexed keywords

EID: 84993808172     PISSN: 1471082X     EISSN: None     Source Type: Journal    
DOI: 10.1191/1471082X04st071oa     Document Type: Article

References (20)

1. Agresti A. (1984) Analysis of ordinal categorical data. New York: Wiley.
2. Albert J.H. and Chib S. (1993) Bayesian analysis of binary and polychotomous response data. Journal of the American Statistical Association 88, 669-679.
3. Besag J., York J. and Mollié A. (1991) Bayesian image restoration, with two applications in spatial statistics. Annals of the Institute of Statistical Mathematics 43, 1-59 (with discussion).
4. Best N.G., Cowles M.K. and Vines S.K. (1995) CODA: convergence diagnosis and output analysis software for Gibbs sampler output: version 0.3. Cambridge, UK: Medical Research Council (MRC) Biostatistics Unit, Institute of Public Health.
5. Clutton-Brock T.H. and Albon S.D. (1992) Trial and error in the highlands. Nature 358, 11-12.
6. DCS (2000) Wild deer in Scotland: a long-term vision. Deer Commission for Scotland.
7. Fahrmeir L. and Lang S. (2001) Bayesian inference for generalised additive mixed models based on Markov random field priors. Applied Statistics 50, 201-220.
8. Fahrmeir L. and Pritscher L. (1996) Regression analysis of forest damage by marginal models for correlated ordinal responses. Environmental and Ecological Statistics 3, 257-268.
9. Gamerman D. (1997) Markov chain Monte Carlo: stochastic simulation for Bayesian inference. London: Chapman and Hall.
10. Huang G.H., Bandeen-Roche K. and Rubin G.S. (2002) Building marginal models for multiple ordinal measurements. Applied Statistics 51, 37-57.
11. Knorr-Held L. and Rue H. (2002) On block updating in Markov random field models for disease mapping. Scandinavian Journal of Statistics 29, 597-614.
12. Lunn D.J., Thomas A., Best N. and Spiegelhalter D.J. (2000) WinBUGS–a Bayesian modelling framework: concepts, structure and extensibility. Statistics and Computing 10, 325-337.
13. MacDonald A., Stevens P., Armstrong H., Immirzi P. and Reynolds P. (1998) A guide to upland habitats, surveying land management impacts: the field guide. Technical report. Edinburgh: Scottish Natural Heritage.
14. Pearce D. and Barbier E. (2000) Blueprint for a sustainable economy. London: Earthscan.
15. Plowman J. (1995) Biodiversity: the UK Steering Group Report. London: Her Majesty's Stationery Office.
16. Rue H. (2001) Fast sampling of Gaussian Markov random fields. Journal of the Royal Statistical Society, Series B 63, 325-338.
17. SNH (1994) Red deer and the natural heritage. Edinburgh: Scottish Natural Heritage.
18. Spiegelhalter D.J., Best N.G., Carlin B.P. and van der Linde A. (2002) Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society, Series B 64, 583-639 (with discussion).
19. WCED (1987) Our common future. World Commission on Environment and Development, Oxford University Press.
20. Wolfe R. and Firth D. (2002) Modelling subjective use of an ordinal response scale in a many period crossover experiment. Applied Statistics 51. 245-255.