On Rao score and PearsonX 2 statistics in generalized linear models

Statistical Papers

Volumn 46, Issue 4, 2005, Pages 555-574

  Lovison, Gianfranco ^a  

^a Dipartimento di Scienze Statistiche e Matematiche S Vianelli   (Italy)

Author keywords

Equivalence of Test Statistics; Generalized Linear Models; Goodness of fit; PearsonX 2; Rao Score test; Regression Models

Indexed keywords

EID: 56049105854     PISSN: 09325026     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02763005     Document Type: Article

References (9)

1. Agresti A. (2002),Categorical Data Analysis (2nd ed), New York: Wiley.
2. Fahrmeir, L. and Tutz, G. (1994),Multivariate Statistical Modelling Based on Generalized Linear Models, New York: Springer-Verlag.
3. Graybill F.A. (1983),Matrices with Applications in Statistics (2nd ed), Belmont, CA: Wadsworth.
4. McCullagh, P. and Nelder, J. (1989),Generalized Linear Models (2nd ed), New York: Wiley.
5. Pregibon, D. (1982), "Score Tests in GLIM with Applications," inGLIM 82: Proceedings of the International Conference on Generalised Linear Models, ed. R. Gilchrist, New York: Springer-Verlag.
6. Rao, C.R. (1973),Linear Statistical Inference and Its Applications (2nd ed), New York: Wiley.
7. A. Rotnitzky N.P. Jewell 1990 Hypothesis, testing of regression parameters in semiparametric generalized linear models for cluster correlated data Biometrika 77 485 497
8. Searle, C.R. (1982),Matrix Theory useful for Statistics (2nd ed), New York: Wiley.
9. Silvey, D.S. (1975),Statistical Inference, London: Springer-Verlag.