Книга Smoothing Techniques Wolfgang Härdle

Smoothing Techniques

With Implementation in S

Автор: Wolfgang Härdle
Език: Английски език
Корици: С твърди корици
Наличност: Външен склад
Изпращаме след 10-13 дни
105.41 206.16 лв
The author has attempted to present a book that provides a non-technical introduction into the area...

Информация за книгата

Автор
Език
Английски език
Корици
Книга - С твърди корици
Издадена
1990
страници
262
EAN
9780387973678
ISBN
0387973672
Enbook ID
01385192
Теглоt
1270
Размери
156 x 234 x 20

Пълно описание

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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