Abstract
We will call an estimator for the regression function defined by the CART methodology a regression tree. The word CART means classification and regression tree. This chapter will focus only on the regression trees.
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Bibliography
Anscombe, F. (1948). The transformation of Poisson, binomial and negative-binomial data, Biometrika 35: 246–254.
Breiman, L., Friedman, J., Olshen,-R., and Stone, C. J. (1984). Classification and Regression Trees, Chapman and Hall, New York.
Donoho, D. L., Johnstone, I. M., Kerkyacharian, G., and Picard, D. (1995). Wavelet shrinkage: asymptotia? (with discussion), J. Roy. Statist Soc. B 57: 301–369.
Flury, B. and Riedwyl, H. (1981). Graphical representation of multivariate data by means of asymmetrical faces, J. Amer. Statist. Assoc. 76: 757–765.
Harrison, D. and Rubinfeld, D. L. (1978). Hedonic prices and the demand for clean air, J. Envir. Econ. and Management 5: 81–102.
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© 2000 Springer-Verlag Berlin Heidelberg
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Klemelä, J., Klinke, S., Sofyan, H. (2000). Classification and Regression Trees. In: XploRe® — Application Guide. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-57292-0_10
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DOI: https://doi.org/10.1007/978-3-642-57292-0_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67545-7
Online ISBN: 978-3-642-57292-0
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