Splitting criteria for regression trees

References

• Abramson , I. and Goldstein , L. 1991 . Efficient nonparametric testing by functional estimation . Journal of Theoretical Probability , 4 : 137 – 159 .
   Google Scholar
• Breiman , L. , Friedman , J. H. , Olshen , R. A. and Stone , C. J. 1984 . Classification and Regression Trees , Belmont, California : Wadsworth .
   Google Scholar
• Clark , L. A. and Pregibon , D. 1992 . “ Tree-based models ” . In Statistical Models in S , Edited by: Chambers , J. M. and Hastie , T. J. 377 – 419 . Pacific Grove , California : Wads-worth & Brooks/Coal Advanced Books & Software .
   Google Scholar
• Hastie , T. J. and Tibshirani , R. J. 1990 . Generalized Additive Models , London : Chapman and Hall .
   Google Scholar
• Segal , M. R. 1988 . Regression trees for censored data . Biometrics , 44 : 35 – 47 .
   Web of Science ®Google Scholar
• Silverman , B. W. 1986 . Density Estimation for Statistics and Data Analysis , London : Chapman and Hall .
   Google Scholar
• Sochett , E. B. , Daneman , D. , Clarson , C. and Ehrlich , R. M. 1987 . Factors affecting and patterns of residual insulin secretion during the first year of type I (insulin dependent) diabetes mellitus in children . Diabetologia , 30 : 453 – 459 .
   PubMed Web of Science ®Google Scholar
• Taylor , P. C. 1990 . Classification Trees , UK : School of Mathematical Sciences, University of Bath . PhD Thesis
   Google Scholar
• Taylor , P. C. and Silverman , B. W. 1993 . Block diagrams and splitting criteria for classification trees . Statistics and Computing , 3 : 147 – 161 .
   Web of Science ®Google Scholar
• Wand , M. P. and Jones , M. C. 1995 . Kernel Smoothing , London : Chapman and Hall .
   Google Scholar