1 |
Kahng, M. (2011). A study on log-density ratio in logistic regression model for binary data. Journal of the Korean Data & Information Science Society, 22, 107-113.
|
2 |
Kahng, M., Kim, B. and Hong, J. (2010). Graphical regression and model assessment in logistic model. Journal of the Korean Data & Information Science Society, 21, 21-32.
|
3 |
Nelder, J. A. and Wedderburn, R. W. M. (1972). Generalized linear models. Journal of Royal Statistical Society A, 135, 370-384.
DOI
ScienceOn
|
4 |
Scrucca, L. (2003). Graphics for studying logistics regression models. Statistical Methods and Applications, 11, 371-394
|
5 |
Scrucca, L. and Weisberg, S. (2004). A simulation study to investigate the behavior of the log-density ratio under normality. Communication in Statistics - Simulation and Computation, 33, 159-178.
DOI
ScienceOn
|
6 |
Shim, J. (2011). Variable selection in the kernel Cox regression. Journal of the Korean Data & Information Science Society, 22, 795-801.
|
7 |
Kullback, S. (1959). Information theory and statistics, Wiley, New York.
|
8 |
Cook, R. D. and Weisberg, S. (1999). Applied regression including computing and graphics, Wiley, New York.
|
9 |
Hwang, H. (2010). Variable selection for multiclassi cation by LS-SVM. Journal of the Korean Data & Information Science Society, 21, 959-965.
|
10 |
Kay, R. and Little, S. (1987). Transformations of the explanatory variables in the logistic regression model for binary data. Biometrika, 74, 495-501.
DOI
ScienceOn
|