Technometrics · 1989 · 412 citations · 31 references
Mathematical ProgrammingEngineeringRegression AnalysisRegression ModelsHigh NoiseData ScienceCurve FittingEstimation TheoryApproximation TheoryStatisticsRegressionGeometric ModelingGeometric InterpolationPredictive AnalyticsFunctional Data AnalysisRegression TestingRobust ModelingAdditive ModelingEconometricsExplanatory Variables
Abstract A simple method is presented for fitting regression models that are nonlinear in the explanatory variables. Despite its simplicity—or perhaps because of it—the method has some powerful characteristics that cause it to be competitive with and often superior to more sophisticated techniques, especially for small data sets in the presence of high noise. KEY WORDS: Generalized cross-validationKnot positionPiecewise linearRegression analysis
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Classification and Regression Trees.
Alexander Gordon, Leo Breiman, Jerome H. Friedman et al. · Biometrics · 1984 · 23.8K citations
Classification and Regression Trees.
John Van Ryzin, Leo Breiman, Jerome H. Friedman et al. · Journal of the American Statistical Association · 1986 · 21K citations