Könyv Smoothing Techniques Wolfgang Härdle

Smoothing Techniques

With Implementation in S

Szerző: Wolfgang Härdle
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
38 435 Ft
The author has attempted to present a book that provides a non-technical introduction into the area...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2011
oldal
262
EAN
9781461287681
ISBN
1461287685
Enbook ID
06795880
Súly
423
Méretek
155 x 235 x 233

Teljes leírás

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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