Smoothing Techniques di Wolfgang Härdle edito da Springer New York
Alta reperibilità

Smoothing Techniques

With Implementation In S

EAN:

9781461287681

ISBN:

1461287685

Pagine:
276
Formato:
Paperback
Lingua:
Inglese
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Descrizione Smoothing Techniques

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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