Smoothing Techniques for Curve Estimation

Proceedings of a Workshop held in Heidelberg, April 2–4, 1979

Editors:

ISBN: 978-3-540-09706-8 (Print) 978-3-540-38475-5 (Online)

Table of contents (13 chapters)

  1. No Access

    Book Chapter

    Pages 1-4

    Nonparametric curve estimation

  2. No Access

    Book Chapter

    Pages 5-22

    A tree-structured approach to nonparametric multiple regression

  3. No Access

    Book Chapter

    Pages 23-68

    Kernel estimation of regression functions

  4. No Access

    Book Chapter

    Pages 69-76

    Total least squares

  5. No Access

    Book Chapter

    Pages 77-90

    Some theoretical results on Tukey’s 3R smoother

  6. No Access

    Book Chapter

    Pages 91-116

    Bias- and efficiency-robustness of general M-estimators for regression with random carriers

  7. No Access

    Book Chapter

    Pages 117-143

    Approximate conditional-mean type smoothers and interpolators

  8. No Access

    Book Chapter

    Pages 144-154

    Optimal convergence properties of kernel estimates of derivatives of a density function

  9. No Access

    Book Chapter

    Pages 155-180

    Density quantile estimation approach to statistical data modelling

  10. No Access

    Book Chapter

    Pages 181-190

    Global measures of deviation for kernel and nearest neighbor density estimates

  11. No Access

    Book Chapter

    Pages 191-195

    Some comments on the asymptotic behavior of robust smoothers

  12. No Access

    Book Chapter

    Pages 196-232

    Cross-validation techniques for smoothing spline functions in one or two dimensions

  13. No Access

    Book Chapter

    Pages 233-245

    Convergence rates of "thin plate" smoothing splines wihen the data are noisy