Introduction to nonparametric regression
邦夫 竹澤 · Wiley-Interscience eBooks · 2006
Preface. Acknowledgments. 1. Exordium. 2. Smoothing for Data with an Equispaced Predictor. 3. Nonparametric Regression for One-Dimensional Predictor. 4. Multidimensional Smoothing. 5. Nonparametric Regression with Predictors Represented as Distributions. 6. Smoothing of Histograms and Nonparametric Probability Density Functions. 7. Pattern Recognition. Appendix A: Creation and Applications of B-Spline Bases. Appendix B: R Objects. Appendix C: Further Readings. Index.