Smoothing Techniques: With Implementation in S Wolfgang H. Rdle

ISBN: 9781461287681

Published: October 19th 2011

Paperback

262 pages


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Smoothing Techniques: With Implementation in S  by  Wolfgang H. Rdle

Smoothing Techniques: With Implementation in S by Wolfgang H. Rdle
October 19th 2011 | Paperback | PDF, EPUB, FB2, DjVu, AUDIO, mp3, RTF | 262 pages | ISBN: 9781461287681 | 8.71 Mb

The author has attempted to present a book that provides a non-technical introduction into the area of non-parametric density and regression function estimation. The application of these methods is discussed in terms of the S computing environment.MoreThe author has attempted to present a book that provides a non-technical introduction into the area of non-parametric density and regression function estimation.

The application of these methods is discussed in terms of the S computing environment. Smoothing in high dimensions faces the problem of data sparseness. A principal feature of smoothing, the averaging of data points in a prescribed neighborhood, is not really practicable in dimensions greater than three if we have just one hundred data points.

Additive models provide a way out of this dilemma- but, for their interactiveness and recursiveness, they require highly effective algorithms. For this purpose, the method of WARPing (Weighted Averaging using Rounded Points) is described in great detail.



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