Tree-Growing for the Multivariate Model: The RECPAM Approach-Reference-Cited by-同舟云学术

Tree-Growing for the Multivariate Model: The RECPAM Approach

Published:1992 Issue: Volume: Page:131-136
ISSN:
Container-title:Computational Statistics
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Author:

Ciampi Antonio,Hendricks Lisa,Lou Zhiyi

Publisher

Physica-Verlag HD

Link

http://link.springer.com/content/pdf/10.1007/978-3-662-26811-7_19

Reference7 articles.

1. Sonquist, J.A. and Morgan, J.N. (1964). The detection of interaction effects. Ann Arbor: Institute for Social Research, University of Michigan.

2. Breiman, L., Friedman, J.H., Olshen, R.A. and Stone, C.J. (1984). Classification and Regression Trees. The Waldsworth International Group, Belmont, California.

3. Ciampi, A., Chang, C.H., Hogg, S.A. and McKinney, S. (1987). Recursive Partition: A versatile method for exploratory data analysis in Biostatistics. Joshi Feistschrift, Vol. 5, Biostatistics, I.B. Mac Neil and G.J. Umphrey (eds), 23-50.

4. Ciampi, A. Thiffault, J. (1989). Pruning regression trees for survival data: the RECPAM approach. Communications in Statistics, Theory and Methods 18(9): 3373–3388.

5. Ciampi, A. (1991). Generalized regression trees. Computational Statistics & Data Analysis, 12:57–78.

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1. Tree-Growing with Probabilistically Imprecise Data;Studies in Classification, Data Analysis, and Knowledge Organization;1996

2. On the Computational Hardness of Learning from Structured Symbolic Data;Studies in Classification, Data Analysis, and Knowledge Organization;1996

3. Classification and Discrimination: the RECPAM Approach;Compstat;1994

4. Discriminant analysis for mixed variables: Integrating trees and regression models;Multivariate Analysis: Future Directions 2;1993