References

1

Agresti, A. (1990). Categorical Data Analysis. Wiley, New York.

2

Agresti, A. (1996). An Introduction to Categorical Data Analysis. Wiley, New York.

3

Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle. In Petrov, B. N. and Csàdki, F., editors, Second Internationl Symposium on Information Theory, pages 267-281. Akademiai Kiadó, Budapest.

4

Arellano, M. (2003). Panel Data Econometrics. Oxford University Press.

5

Bishop, Y. M. M., Fienberg, S. E., and Holland, P. W. (1975). Discrete Multivariate Analysis: Theory and Practice. MIT Press, Cambridge.

6

Box, G. and Cox, D. (1964). An analysis of transformations. Journal of the Royal Statistical Society, Series B, 26:211-243.

7

Collett, D. (1991). Modelling Binary Data. Chapman and Hall, London.

8

Cox, D. R. (1972). Regression models and life tables (with discussion). Journal of the Royal Statistical Society, Series B, 74:187-220.

9

Cox, D. R. and Snell, E. J. (1989). Analysis of Binary Data, volume 32 of Monographs on Statistics and Applied Probability. Chapman and Hall, London, second edition.

10

Diggle, P., Heagerty, P., Liang, K.-L., and Zeger, S. (2002).
Analysis of Longitudinal Date.
Oxford University Press, second edition.

11

Dobson, A. J. (2001). An Introduction to Generalized Linear Models. Chapman and Hall, London, second edition.

12

Fahrmeir, L. and Kaufmann, H. (1984). Consistency and asymptotic normality of the maximum-likelihood estimator in generalized linear models. Annals of Statistics, 13:342-368.

13

Fahrmeir, L. and Tutz, G. (1994). Multivariate Statistical Modelling Based on Generalized Linear Models. Springer, Heidelberg.

14

Gallant, A. and Nychka, D. (1987). Semi-nonparametric maximum likelihood estimation. Econometrica, 55(2):363-390.

15

Gill, J. (2000). Generalized Linear Models: A Unified Approach. Sage University Paper Series on Quantitative Applications in the Social Sciences, 07-134, Thousand Oaks, CA.

16

Goldstein, H. (2003). Multilevel Statistical Models. Hodder Arnold, London.

17

Green, P. J. and Silverman, B. W. (1994). Nonparametric Regression and Generalized Linear Models, volume 58 of Monographs on Statistics and Applied Probability. Chapman and Hall, London.

18

Greene, W. H. (2000). Econometric Analysis. Prentice Hall, Upper Saddle River, New Jersey, 4th edition.

19

Hardin, J. and Hilbe, J. (2001). Generalized Linear Models and Extensions. Stata Press.

20

Härdle, W., Müller, M., Sperlich, S., and Werwatz, A. (2004). Nonparametric and Semiparametric Modeling: An Introduction. Springer, New York.

21

Hastie, T. J. and Tibshirani, R. J. (1990). Generalized Additive Models, volume 43 of Monographs on Statistics and Applied Probability. Chapman and Hall, London.

22

Hsiao, C. (1990). Analysis of Panel Data. Econometric Society Monographs No. 11. Cambridge University Press.

23

Ichimura, H. (1993). Semiparametric least squares (SLS) and weighted SLS estimation of single-index models. Journal of Econometrics, 58:71-120.

24

Liang, K. Y. and Zeger, S. L. (1986). Longitudinal data analysis using generalized linear models. Biometrika, 73:13-22.

25

Lindsey, J. K. (1997). Applying Generalized Linear Models. Springer, New York.

26

Loader, C. (1999). Local Regression and Likelihood. Springer, New York.

27

McCullagh, P. and Nelder, J. A. (1989). Generalized Linear Models, volume 37 of Monographs on Statistics and Applied Probability. Chapman and Hall, London, 2 edition.

28

Müller, M. (2001). Estimation and testing in generalized partial linear models - a comparative study. Statistics and Computing, 11:299-309.

29

Nelder, J. A. and Wedderburn, R. W. M. (1972). Generalized linear models. Journal of the Royal Statistical Society, Series A, 135(3):370-384.

30

Pinheiro, J. C. and Bates, D. M. (2000). Mixed-Effects Models in S and S-PLUS. Springer, New York.

31

Ruppert, D., Wand, M. P., and Carroll, R. J. (1990). Semiparametric Regression. Cambridge University Press.

32

Schwarz, G. (1978). Estimating the dimension of a model. Annals of Statistics, 6:461-464.

33

Severini, T. A. and Staniswalis, J. G. (1994). Quasi-likelihood estimation in semiparametric models. Journal of the American Statistical Association, 89:501-511.

34

Speckman, P. E. (1988). Regression analysis for partially linear models. Journal of the Royal Statistical Society, Series B, 50:413-436.

35

Turlach, B. A. (1994). Computer-aided additive modeling. Doctoral Thesis, Université Catholique de Louvain, Belgium.

36

Venables, W. N. and Ripley, B. (2002). Modern Applied Statistics with S. Springer, New York, 4th edition.

37

Weisberg, S. and Welsh, A. H. (1994). Adapting for the missing link. Annals of Statistics, 22:1674-1700.

38

Zeger, S. L. and Liang, K. Y. a. (1986). Longitudinal data analysis for discrete and continuous outcomes. Biometrics, 42:121-130.