The author has attempted to present a book that provides a non-technical introduction into the area of nonparametric 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 neighbourhood, is not really practicable in dimensions greater than three. Additive models provide a way out of this dilemma, but they require highly effective algorithms. For this purpose, the method of WARPing (Weighted Averaging using Rounded Points) is described in detail in the text.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
The author has attempted to present a book that provides a non-technical introduction into the area of nonparametric 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 neighbourhood, is not really practicable in dimensions greater than three. Additive models provide a way out of this dilemma, but they require highly effective algorithms. For this purpose, the method of WARPing (Weighted Averaging using Rounded Points) is described in detail in the text.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
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Hardcover. 261 S. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. K00956 3540973672 Sprache: Englisch Gewicht in Gramm: 1150. Artikel-Nr. 2516715
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