1 |
Fisz, M. (1960). On a result by M. Rosenblatt concerning the von Mises-Smirnov test. The Annals of Mathematical Statistics, 31: 427-429
DOI
|
2 |
Kim, H. and Loh, W.-Y. (2001). Classification trees with unbiased multiway splits, Journal of the American Statistical Association, 96: 589-604
DOI
ScienceOn
|
3 |
Kim, H. and Loh, W.-Y. (2003). Classification trees with bivariate linear discriminant node models. Journal of Computational and Graphical Statistics, 12: 512-530
DOI
ScienceOn
|
4 |
Liu, W. Z. and White, A. P. (1994). The importance of attribute-selection measures in decision tree induction, Machine Learning, 15: 25-41
|
5 |
Loh, W.-Y. and Shih, Y.-S. (1997). Split selection methods for classification trees, Statistica Sinica, 7: 815-840
|
6 |
Martin, J. K. (1997). An exact probability metric for decision tree splitting and stopping, Machine Learning, 28: 257 - 297
DOI
|
7 |
Quinlan, J. (1993). C4.5: Programs for Machine Learning, Morgan Kaufmann, San Mateo
|
8 |
White, A. P. and Liu, W. Z. (1994). Bias in information-based measures in decision tree induction, Machine Learning, 15: 321-329
|
9 |
Burr, E. J. (1964). Small-sample distributions of the two-sample Cramer-von Mises' W2 and Watson's U2. The Annals of Mathematical Statistics, 35: 1091-1098
DOI
|
10 |
Breiman, L., Friedman, J. H., Olshen, R. A. and Stone, C. J. (1984). Classification and Regression Trees, Chapman & Hall, New York
|
11 |
Kass, G. V. (1975). Significance testing in automatic interaction detection (A.I.D), Journal of Applied Statistics, 24: 178-189
DOI
ScienceOn
|
12 |
Kass, G. V. (1980). An exploratory technique for investigating large quantities of categorical data, Journal of Applied Statistics, 29: 119-127
DOI
ScienceOn
|