Smoothing Techniques for Curve Estimation

Beschreibung

Neuware -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. 256 pp. Englisch.

Bestandsnummer des Verkäufers 9783540097068

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Bibliografische Details

Titel

Smoothing Techniques for Curve Estimation

Verlag

Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 1979

Erscheinungsjahr

1979

Sprache

Englisch

ISBN-10

3540097066

ISBN-13

9783540097068

Einband

Taschenbuch

Zustand

Neu