Smoothing Techniques for Curve Estimation : Proceedings of a Workshop held in Heidelberg, April 2-4, 1979 / edited by Th. Gasser, M. Rosenblatt.

Format:

Book

Contributor:

Gasser, Th, editor.

Rosenblatt, Murray, editor.

SpringerLink (Online service)

Series:

Lecture Notes in Mathematics, 0075-8434 ; 757.

Lecture Notes in Mathematics, 0075-8434 ; 757

Language:

English

Subjects (All):

Mathematics.

Mathematics, general.

Local Subjects:

Mathematics, general.

Physical Description:

1 online resource (245 pages).

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1979.

System Details:

text file PDF

Contents:

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.

Other Format:

Printed edition:

ISBN:

9783540384755

Access Restriction:

Restricted for use by site license.