Erschienen: 05.12.1990 Abbildung von Härdle | Smoothing Techniques | 1990 | With Implementation in S

Härdle

Smoothing Techniques

With Implementation in S

lieferbar (3-5 Tage)

ca. 139,09 €

inkl. Mwst.

1990. Buch. xii, 262 S. Bibliographien. Hardcover

Springer. ISBN 978-0-387-97367-8

Format (B x L): 15,6 x 23,4 cm

Gewicht: 1270 g

In englischer Sprache

Das Werk ist Teil der Reihe: Springer Series in Statistics

Produktbeschreibung

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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