Poisson vs normal-errors regression in Mac Nally (1996)

Austral Ecology

Volumn 22, Issue 2, 1997, Pages 233-235

  Candy, S G ^a  

^a FORESTRY TASMANIA   (Australia)

Author keywords

Generalized linear models; Goodness of fit statistics; Poisson distribution; Root mean square prediction error

Indexed keywords

EID: 17444432303     PISSN: 14429985     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1442-9993.1997.tb00664.x     Document Type: Article

References (11)

1. Aitkin M., Andersen D., Francis B. & Hinde J. (1989) Statistical Modelling in GLIM. Clarendon Press, Oxford.
2. Breslow N. E. & Clayton D. G. (1993) Approximate inference in generalized linear mixed models. J. Amer. Statist. Assoc. 88, 9-25.
3. Candy S. G. (1997) Estimation in forest yield models using composite link functions with random effects. Biometrics 53, 146-60.
4. Crawley M. J. (1993) GLIM for ecologists. Blackwell Science, Oxford.
5. Genstat 5 Committee (1993) Genstat 5 Reference Manual. Clarendon Press, Oxford.
6. McCullagh P. & Nelder J. A. (1989) Generalized Linear Models, 2nd edn. Chapman & Hall, London.
7. Mac Nally R. (1996) Hierarchical partitioning as an interpretative tool in multivariate inference. Aust. J. Ecol. 21, 224-8.
8. Nelder J. A. & Wedderburn R. W. M. (1972) Generalized linear models. J. Roy. Statist. Soc. Ser. A 135, 370-84.
9. Pregibon D. (1980) Goodness of link tests for generalized linear models. Appl. Statist. 29, 15-24.
10. Schall R. (1991) Estimation in generalized linear models with random effects. Biometrika 78, 719-27.
11. Wolfinger R. & O'Connell M. (1993) Generalized linear mixed models: a pseudo-likelihood approach. J. Stat. Comput. Simulation 48, 233-43.