The author has attempted to present a book that provides a non-technical introduction into the area of nonparametric 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 neighbourhood, is not really practicable in dimensions greater than three. Additive models provide a way out of this dilemma, but they require highly effective algorithms. For this purpose, the method of WARPing (Weighted Averaging using Rounded Points) is described in detail in the text.
- ISBN10 3540973672
- ISBN13 9783540973676
- Publish Date 31 December 1991
- Publish Status Out of Print
- Out of Print 23 March 2008
- Publish Country DE
- Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
- Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K
- Format Hardcover
- Pages 268
- Language English