Fisher, RA.The use of multiple measurements in taxonomic problems.Ann Eugen1936, 7:179–188.

Cover, T,Hart, P.Nearest neighbor pattern classification.IEEE Trans Inf Theory1967, 13:21–27.

Fielding, A,O`Muircheartaigh, CA.Binary segmentation in survey analysis with particular reference to AID.The Statistician1977, 25:17–28.

Messenger, R,Mandell, L.A modal search technique for predictive nominal scale multivariate analysis.J Am Stat Assoc1972, 67:768–772.

Quinlan, JR.C4.5: Programs for Machine Learning.San Mateo: Morgan Kaufmann;1993.

Breiman, L,Friedman, JH,Olshen, RA,Stone, CJ.Classification and Regression Trees.CRC Press;1984.

R Development Core Team,R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria,2009.

Therneau, TM,Atkinson, B.RPART: recursive partitioning. R port by B. Ripley. R package version 3.1‐41,2008.

Loh, WY,Vanichsetakul, N.Tree‐structured classification via generalized discriminant analysis (with discussion).J Am Stat Assoc1988, 83:715–728.

Kim, H,Loh, WY.Classification trees with unbiased multiway splits.J Am Stat Assoc2001, 96:589–604.

Kim, H,Loh, WY.Classification trees with bivariate linear discriminant node models.J Comput Graphical Stat2003, 12:512–530.

Loh, WY,Chen, C,Hordle, W,Unwin, A, eds.Improving the precision of classification trees.Ann Appl Stat2009, 3:1710–1737.

Loh, WY,Shih, Y.Split selection methods for classification trees.Stat Sin1997, 7:815–840.

Hothorn, T,Hornik, K,Zeileis, A.Unbiased recursive partitioning: a conditional inference framework.J Comput Graphical Stat2006, 15:651–674.

Kass, GV.An exploratory technique for investigating large quantities of categorical data.Appl Stat1980, 29:119–127.

Breiman, L.Bagging predictors.Machine Learning1996, 24:123–140.

Breiman, L.Random forests.Machine Learning2001, 45:5–32.

Lock, RH.1993 New car data.Journal of Statistics Education,1993, 1(1). www.amstat.org/publications/jse/v1n1/datasets.lock.html

Doksum, K,Tang, S,Tsui, KW.Nonparametric variable selection: the EARTH algorithm.J Am Stat Assoc2008, 103:1609–1620.

Morgan, JN,Sonquist, JA.Problems in the analysis of survey data, and a proposal.J Am Stat Assoc1963, 58:415–434.

Witten, I,Frank, E.Data Mining: practical Machine Learning Tools and Techniques,2nd ed.San Francisco: Morgan Kaufmann;2005.

Quinlan, JR.Learning with continuous classes. *Proceedings of the 5th Australian Joint Conference on Artificial Intelligence*1992, 343–348.

Loh, WY.Regression trees with unbiased variable selection and interaction detection.Stat Sin2002, 12:361–386.

Rosner, B.Fundamentals of Biostatistics,5th ed.Duxbury MA: Pacific Grove;1999.

Kahn, M.An exhalent problem for teaching statistics.J Stat Education2005, 13(2).www.amstat.org/publications/jse/v13n2/datasets.kahn.html.

Kim, H,Loh, WY,Shih, YS,Chaudhuri, P.Visualizable and interpretable regression models with good prediction power.IIE Trans2007, 39:565–579.

Loh, WY.%22Regression by parts: fitting visually interpretable models with GUIDE%22. In:Chen, C,Hordle, W,Unwin, A, eds.Handbook of Data Visualization.New York: Springer;2008, 447–469.

Lim, TS,Loh, WY,Shih, YS.A comparison of prediction accuracy, complexity, and training time of thirty‐three old and new classification algorithms.Machine Learning2000, 40:203–228.

Loh, WY,Chen, CW,Zheng, W.Extrapolation errors in linear model trees.ACM Trans on Knowledge Discov from Data2007, 1(2).

Ciampi, A.Generalized regression trees.Comput Stat Data Anal1991, 12:57–78.

Su, X,Wang, M,Fan, J.Maximum likelihood regression trees.J Comput Graphical Stat2004, 13:586–598.

Chipman, HA,George, EI,McCulloch, RE.Bayesian CART model search (with discussion).J Am Stat Assoc1998, 93:935–960.

Denison, DGT,Mallick, BK,Smith, AFM.A Bayesian CART algorithm.Biometrika1998, 85:362–377.

Chaudhuri, P,Lo, WD,Loh, WY,Yang, CC.Generalized regression trees.Stat Sin1995, 5:641–666.

Loh, WY.Regression tree models for designed experiments.IMS Lecture Notes‐Monograph Series2006, 49:210–228.

Chan, KY,Loh, WY.LOTUS: an algorithm for building accurate and comprehensible logistic regression trees.J Comput Graphical Stat2004, 13:826–852.

Loh, WY.%22Logistic regression tree analysis%22. In:Pham, H, ed.Handbook of Engineering Statistics.London: Springer; 2006, 537–549.

Chaudhuri, P,Loh, WY.Nonparametric estimation of conditional quantiles using quantile regression trees.Bernoulli2002, 8:561–576.

Ahn, H.Tree‐structured exponential regression modeling.Biometrical2007, 36:43–61.

Ahn, H,Loh, WY.Tree‐structured proportional hazards regression modeling.Biometrics1994, 50:471–485.

Cho, HJ,Hong, SM.Median regression tree for analysis of censored survival data.IEEE Trans Syst, Man Cybern, Part A2008, 383:715–726.

LeBlanc, M,Crowley, J.Relative risk trees for censored survival data.Biometrics1992, 48:411–424.

Chaudhuri, P,Huang, MC,Loh, WY,Yao, R.Piecewise‐polynomial regression trees.Stat Sin1994, 4:143–167.

Segal, MR.Regression trees for censored data.Biometrics1988, 44:35–47.