Smoothing Techniques for Curve Estimation
Springer Berlin (Verlag)
978-3-540-09706-8 (ISBN)
Nonparametric curve estimation.- A tree-structured approach to nonparametric multiple regression.- Kernel estimation of regression functions.- Total least squares.- Some theoretical results on Tukey's 3R smoother.- Bias- and efficiency-robustness of general M-estimators for regression with random carriers.- Approximate conditional-mean type smoothers and interpolators.- Optimal convergence properties of kernel estimates of derivatives of a density function.- Density quantile estimation approach to statistical data modelling.- Global measures of deviation for kernel and nearest neighbor density estimates.- Some comments on the asymptotic behavior of robust smoothers.- Cross-validation techniques for smoothing spline functions in one or two dimensions.- Convergence rates of "thin plate" smoothing splines wihen the data are noisy.
| Erscheint lt. Verlag | 1.11.1979 |
|---|---|
| Reihe/Serie | Lecture Notes in Mathematics |
| Zusatzinfo | 245 p. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 170 x 250 mm |
| Gewicht | 372 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Allgemeines / Lexika |
| Schlagworte | Behavior • convergence • data model • Data Modelling • Derivative • Efficiency • Function • Functions • Glättung • Kernel • Kurvenanpassung • Modeling • Modelling • Schätzung • Schätzung (Statistik) • Statistica |
| ISBN-10 | 3-540-09706-6 / 3540097066 |
| ISBN-13 | 978-3-540-09706-8 / 9783540097068 |
| Zustand | Neuware |
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