Analysis of robust quasi-deviances for generalized linear models

Journal of Statistical Software

Volumn 10, Issue , 2004, Pages 1-9

  Cantoni, Eva ^a  

^a UNIVERSITY OF GENEVA   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 4544339653     PISSN: 15487660     EISSN: None     Source Type: Journal    
DOI: 10.18637/jss.v010.i04     Document Type: Article

References (6)

1. Cantoni, E. and E. Ronchetti (2001). Robust inference for generalized linear models. Journal of the American Statistical Association 96, 1022-1030.
2. Davison, A. C. and D. V. Hinkley (1997). Bootstrap Methods and their Applications. Cambridge: Cambridge University Press.
3. Hampel, F. R. (1974). The influence curve and its role in robust estimation. Journal of the American Statistical Association 69, 383-393.
4. Hampel, F. R., E. M. Ronchetti, P. J. Rousseeuw, and W. A. Stahel (1986). Robust Statistics: The Approach Based on Influence Functions. New York: Wiley.
5. McCullagh, P. and J. A. Nelder (1989). Generalized Linear Models (Second ed.). London: Chapman & Hall.
6. Phelps, K. (1982). Use of the complementary log-log function to describe dose-response relationships in insecticide evaluation field trials. In R. Gilchrist (Ed.), Lecture Notes in Statistics, No. 14. GLIM.82: Proceedings of the International Conference on Generalized Linear Models. Berlin/New York: Springer-Verlag.