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http://worldcat.org/entity/work/id/806963048

Smoothing techniques in theory : with implementation in S

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  • "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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  • "Programm"
  • "Electronic books"

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  • "Smoothing techniques in theory : with implementation in S"@en
  • "Smoothing techniques : with implementation in S"
  • "Smoothing techniques : with implementation in S"@en
  • "Smoothing techniques : with implementation in s"
  • "Smoothing techniques : with implementations in S"
  • "Smoothing Techniques With Implementation in S"
  • "Smoothing techniques with implementation in S"
  • "Smoothing techniques with implementation in S"@en

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