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Opis

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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Kategoria Książki po angielsku Mathematics & science Mathematics Applied mathematics

• Pełny tytuł: Smoothing Techniques
• Podtytuł: With Implementation in S
• Autor: Wolfgang Härdle
• Język: Angielski
• Oprawa: Miękka
• Liczba stron: 262
• EAN: 9781461287681
• ISBN: 1461287685
• ID: 06795880
• Wydawca: Springer-Verlag New York Inc.
• Waga: 423 g
• Wymiary: 235 × 155 × 233 mm
• Data wydania: 19. October 2011

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