Smoothing Techniques for Curve Estimation

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

AvT. Gasser,M. Rosenblatt

Häftad, Engelska, 1979

Del 757 i serien Lecture Notes in Mathematics

502 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Produktinformation

Utgivningsdatum:1979-11-01
Mått:170 x 250 x 15 mm
Vikt:394 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Mathematics
Antal sidor:245
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783540097068

Utforska kategorier

Matematik inom Naturvetenskap och teknik

Innehållsförteckning

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.

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Smoothing Techniques for Curve Estimation

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

AvT. Gasser,M. Rosenblatt

Häftad, Engelska, 1979

Del 757 i serien Lecture Notes in Mathematics

502 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Produktinformation

Utgivningsdatum:1979-11-01
Mått:170 x 250 x 15 mm
Vikt:394 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Mathematics
Antal sidor:245
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783540097068

Utforska kategorier

Matematik inom Naturvetenskap och teknik

Innehållsförteckning

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.