Zero-inflated proportion data models applied to a biological control assay

Journal of Applied Statistics

Volumn 27, Issue 3, 2000, Pages 373-389

  Vieira, A M C ^a   Hinde, J P ^b   Demetrio C G B ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b UNIVERSITY OF EXETER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BIOASSAY; BIOLOGICAL CONTROL;

EID: 0034018266     PISSN: 02664763     EISSN: None     Source Type: Journal    
DOI: 10.1080/02664760021673     Document Type: Article

References (19)

1. AKAIKE, H. (1973) Information theory and an extension of the maximum likelihood principle. In: B. N. PETROV & E. CSÀKI (Eds), Proceedings of the 2nd International Symposium on Information Theory (Budapest, Akademiai, Kiàdo).
2. BICKEL, P. J. & DOKSUM, K. A. (1977) Mathematical Statistics (Oakland, CA, Holden-Day).
3. BOTELHO, P. S. M. (1985) Tabela de vida ecológica e simulação da fase larval da Diatraea saccharalis (Fabr., 1794) (Lep.: Pyralidae), PhD Thesis, ESALQ, Universidade de São Paulo.
4. CAMERON, A. C. & TRIVEDI, P. (1986) Econometric models based on count data: comparisons and applications of some estimators and tests, Journal of Applied Econometrics, 1, pp. 29-55.
5. COLLETT, D. (1991) Modelling Binary Data (London, Chapman & Hall)
6. DEMÉTRIO, C. G. B. & HINDE, J. (1997) Half-normal plots and overdispersion, GLIM Newsletter, 27, pp. 19-26.
7. DEMPSTER, A. P., LAIRD, N. M. & RUBIN, D. B. (1977) Maximum likelihood from incomplete data via the EM algorithm (with discussion), Journal of the Royal Statistical Society, Series B, 39, pp. 1-38.
8. FITZMAURICE, G. M. (1997) Model selection with overdispersed data, The Statistician, 46, pp. 81-91.
9. FRANCIS, B., GREEN, M. & PAYNE, C. (1993) The GLIM System: Generalized Linear Iterative Modelling (Oxford, Oxford University Press).
10. HINDE, J. P. & DEMÉTRIO, C. G. B. (1998) Overdispersion: models and estimation, Computational Statistics and Data Analysis, 27, pp. 151-170.
11. JOHNSON, N. L. & KOTZ, S. (1962) Distributions in Statistics: Discrete Distributions (New York, Houghton Mifflin).
12. JØRGENSEN, B. (1997) The Theory of Dispersion Models (London, Chapman & Hall).
13. LAMBERT, D. (1992) Zero-inflated Poisson regression, with an application to defects in manufacturing, Technometrics, 34, pp. 1-14.
14. LINDSEY, J. K. (1997) Applying Generalized Linear Models (New York, Springer).
15. MCCULLAGH, P. & NELDER, J. A. (1989) Generalized Linear Models, 2nd edn (London, Chapman & Hall).
16. PARRA, J. R. P. (1997) Técnicas de criação de Anagasta kuehniella, hospedeiro alternative para a produção de Trichogramma. In: J. R. P. PARRA & R. A. ZUCCHI (Eds), Trichogramma e o Controle Biológico Aplicado, pp. 121-150 (Piracicaba, SP, FEALQ).
17. RIDOUT, M. S. & DEMÉTRIO, C. G. B. (1992) Generalized linear models for positive count data, Revista de Matemática e Estatística, 10, pp. 139-148.
18. WEDDERBURN, R. W. M. (1974) Quasi-likelihood functions, generalized linear models and the Gauss-Newton method, Biometrika, 61, pp. 439-447.
19. WILLIAMS, D. A. (1982) Extra-binomial variation in logistic linear models, Applied Statistics, 31, pp. 144-148.