Titlebook: Smoothing Techniques for Curve Estimation; Proceedings of a Wor Th. Gasser,M. Rosenblatt Conference proceedings 1979 Springer-Verlag Berlin

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书目名称Smoothing Techniques for Curve Estimation影响因子(影响力)




书目名称Smoothing Techniques for Curve Estimation影响因子(影响力)学科排名




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书目名称Smoothing Techniques for Curve Estimation网络公开度学科排名




书目名称Smoothing Techniques for Curve Estimation被引频次




书目名称Smoothing Techniques for Curve Estimation被引频次学科排名




书目名称Smoothing Techniques for Curve Estimation年度引用




书目名称Smoothing Techniques for Curve Estimation年度引用学科排名




书目名称Smoothing Techniques for Curve Estimation读者反馈




书目名称Smoothing Techniques for Curve Estimation读者反馈学科排名

Immobilize

构想

Optimal convergence properties of kernel estimates of derivatives of a density function,ence of the local and of the integrated mean square error (MSE and IMSE), by restricting us to kernels with compact support. Optimal kernel functions for estimating the first three derivatives are given. Adopting a technique developed by Farrel (1972) and Wahba (1975), we obtain the optimal rate of

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初次登台

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新义

名字的误用

Convergence rates of "thin plate" smoothing splines wihen the data are noisy,d, bounded subset Ω of Euclidean d-space and the ε. are random variables satisfying Eε.=0, Eε.ε.=σ., i=j, =0, i≠j, t.εΩ. The z. are observed. It is desired to estimate u, given z., ..., z.. u is only assumed to be "smooth", more precisely we assume that u is in the Sobolev space ..(Ω) of functions w

HAIL

Approximate conditional-mean type smoothers and interpolators,presented which lends support to the intuitive notion that the conditional density in question will be nearly Gaussian in a strong sense when the additive noise is nearly Gaussian in a comparatively weak sense. Approaches for implementing the robust smoothers and interpolators is discussed and an application to a real data set is presented.

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