Smoothing Techniques: With Implementation in S (Springer Series in Statistics) Book + PRICE WATCH * Amazon pricing is not included in price watch

Smoothing Techniques: With Implementation in S (Springer Series in Statistics) Book

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.Read More

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  • 0387973672
  • 9780387973678
  • Wolfgang Härdle
  • 10 December 1990
  • Springer
  • Hardcover (Book)
  • 261
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