Smoothing Techniques for Curve Estimation : Proceedings of a Workshop held in Heidelberg, April 2-4, 1979. 1st ed. 1979

種類:

電子ブック

責任表示:

edited by T. Gasser, M. Rosenblatt

出版情報:

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

著者名:

• Gasser, T.
• Rosenblatt, M.
• SpringerLink (Online service)

シリーズ名:

Lecture Notes in Mathematics ; 757

ISBN:

9783540384755 [3540384758]    

注記:

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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