Smoothing Techniques: With Implementation in S (Springer Series in Statistics)

Härdle, Wolfgang

ISBN 10: 0387973672 / ISBN 13: 9780387973678

Verlag: Springer, 1990

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Bibliografische Details

• Titel: Smoothing Techniques: With Implementation in S (Springer Series in Statistics)
• Verlag: Springer
• Erscheinungsjahr: 1990
• Sprache: Englisch
• ISBN-10: 0387973672
• ISBN-13: 9780387973678
• Einband: Hardcover
• Zustand: New

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Inhaltsangabe

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.