Smoothing techniques for curve estimation: proceedings of a workshop held in Heidelberg, April 2 - 4, 1979
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 rand...
Guardado en:
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| Otros Autores: | , |
| Formato: | Conference Paper |
| Lenguaje: | inglés |
| Publicado: |
Berlin [u.a.]
Springer
1979
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| Colección: | Lecture Notes in Mathematics
757 |
| DOI: | 10.1007/BFb0098486 |
| Materias: | |
| Acceso en línea: | Verlag, Deutschlandweit zugänglich, Volltext: https://doi.org/10.1007/BFb0098486 Cover: https://swbplus.bsz-bw.de/bsz011278889cov.jpg Verlag, Inhaltsverzeichnis: http://d-nb.info/801026830/04 
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| Notas de Autor: | ed. by Th. Gasser and M. Rosenblatt |
| Sumario: | 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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| Descripción Física: | Online Resource |
| ISBN: | 9783540384755 |
| DOI: | 10.1007/BFb0098486 |