On classification and regression trees for multiple responses and its application

Journal of Classification

Volumn 23, Issue 1, 2006, Pages 123-141

  Lee, Seong Keon ^a  

^a Sungshin Women's University   (South Korea)

Author keywords

Decision tree; Poisson responses; Polytomous responses; Web usage pattern

Indexed keywords

EID: 33746266552     PISSN: 01764268     EISSN: 14321343     Source Type: Journal    
DOI: 10.1007/s00357-006-0007-1     Document Type: Article

References (19)

1. AGRESTI, A. (1990), Categorical Data Analysis, NY: Wiley.
2. BREIMAN, L., FRIEDMAN J.H., OLSHEN R.A., and STONE C. J. (1984), Classification and Regression Trees, Wadsworth: Belmont.
3. CHAUDHURI, P., LO, W.D., LOH, Y.H., and YANG, C.C. (1995), "Generalized Regression Trees", Statistica Sinica, 5, 641-666.
4. COX, D.R. (1972), "The Analysis of Multivariate Binary Data", Applied Statistics, 21, 113-120.
5. DIGGLE, P.J., LIANG, K.Y., and ZEGER, S.L. (1994), Analysis of Longitudinal. Data, Oxford: Clarendon Press.
6. HAWKINS, D.M., and KASS, G.V. (1982), "Automatic Interaction Detection", in D.H. Hawkins (Ed.), Topics in Applied Multivariate Analysis, Cambridge University Press.
7. HORTON, N.J., and LIPSITZ, S. R. (1999), "Review of Software to Fit Generalized Estimating Equation Regression Models", The American Statistician, 53, 160-169.
8. LARSEN, D.R., and SPECKMAN, P.L. (2004), "Multivariate Regression Trees for Analysis of Abundance Data", Biometrics, 60, 543-549.
9. LEVENE, H. (1960), "Robust Tests for Equality of Variances", in Contributions to Probability and Statistics, Eds., I. Olkin, S.G. Ghurye, W. Hoeffding, W.G. Madow and H.B. Mann, Stanford: Stanford University Press, 278-292.
10. LIANG, K.-Y., and ZEGER, S.L. (1986), "Longitudinal Data Analysis Using Generalized Linear Models", Biometrika, 73, 13-22.
11. LOH, W.-Y, and VANICHSETAKUL, N. (1988), "Tree-structured Classification via Generalized Discriminant Analysis (With Discussion)", Journal of the American Statistical Association, 83, 715-728.
12. QUINLAN, J.R. (1992), C4.5: Programs for Machine Learning, California: Morgan Kaufmann.
13. SAS INSTITUTE, INC. (2000), SAS Macro Language: Reference, Version 8, Cary NC: SAS Institute Inc.
14. SEGAL, M.R. (1992), "Tree-Structured Methods for Longitudinal Data", Journal of the American Statistical Association, 87, 407-418.
15. THALL, P.F., and VAIL, S.C. (1990), "Some Covariance Models for Longitudinal Count Data with Overdispersion", Biometrics, 46, 657-671.
16. YU, Y., and LAMBERT, D. (1999), "Fitting Trees to Functional Data, With an Application to Time-of-Day Patterns", Journal of Computational and graphical Statistics, 8, 749-762.
17. ZHANG, H.P. (1998), "Classification Tree for Multiple Binary Responses", Journal of the American Statistical Association, 93, 180-193.
18. ZHANG, H.P., and SINGER, B. (1999), Recursive Partitioning in the Health Sciences, New York: Springer-Verlag.
19. ZHAO, L.P., and PRENTICE, R.L. (1990), "Correlated Binary Regression Using a Quadratic Exponential Model", Biometrika, 77, 642-648.