Smoothing Techniques: With Implementation in S (Springer Series in Statistics)
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- Vendor: Mia Karts
Smoothing Techniques: With Implementation in S (Springer Series in Statistics)
Book Details
- Author
- H
- Publisher
- Springer
- Format
- Hardcover
- Language
- English
- Category
- Gardening & Landscape Design
- Condition
- New
- ISBN-13
- 9780387973678
- ISBN-10
- 0387973672
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ISBN: 0387973672
Author: H
Condition: New
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. 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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Smoothing Techniques: With Implementation in S (Springer Series in Statistics)
