Könyv Smoothing Techniques Wolfgang Härdle

Smoothing Techniques

With Implementation in S

Szerző: Wolfgang Härdle
Nyelv: Angol
Kötés: Kemény kötésű
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
39 659 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 - Kemény kötésű
Kiadva
1990
oldal
262
EAN
9780387973678
ISBN
0387973672
Enbook ID
01385192
Súly
1270
Méretek
156 x 234 x 20

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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