Modified classification and regression tree splitting criteria for data with interactions

Australian and New Zealand Journal of Statistics

Volumn 44, Issue 2, 2002, Pages 169-176

  Bremner, Alexandra P ^a   Taplin, Ross H ^a  

^a MURDOCH UNIVERSITY   (Australia)

Author keywords

Deviance; Local deviance; Local residual sum of squares; Tree models

Indexed keywords

EID: 0036000543     PISSN: 13691473     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-842X.00219     Document Type: Article

References (9)

1. Becker, R.A., Chambers, J.M. & Wilks, A.R. (1988). The New S Language. Pacific Grove, CA: Wadsworth.
2. Blake, C.L. & Merz, C.J. (1998). UCI repository of machine learning databases, http://www.ics.uci.edu/̃mlearn/MLRepository.html.
3. Breiman, L., Friedman, J.H., Olshen, R.A. & Stone, C.J. (1984). Classification and Regression Trees. Belmont, California: Wadsworth.
4. Clark, L.A. & Pregibon, D. (1992). Tree-based models. In Statistical Models in S, eds J.M. Chambers & T.J. Hastie, pp. 377-419. Pacific Grove, CA: Wadsworth & Brooks/Cole.
5. Efron, B. & Tibshirani, R.J. (1993). An Introduction to the Bootstrap. New York: Chapman and Hall.
6. Lubisehew, A.A. (1962). On the use of discriminant functions in taxonomy. Biometrics 18, 455-477.
7. Ripley, B.D. (1996). Pattern Recognition and Neural Networks. Cambridge, UK: Cambridge University Press.
8. Taylor, P.C. & Silverman, B.W. (1993). Block diagrams and splitting criteria for classification trees. Statist. Comput. 3, 147-161.
9. Venables, W.N. & Ripley, B.D. (1999). S Programming. New York: Springer-Verlag.