Smoothing Techniques : With Implementation in S / / by Wolfgang Härdle

• Autore: Härdle Wolfgang
• Pubblicazione: New York, NY : , : Springer New York : , : Imprint : Springer, , 1991
• Edizione: 1st ed. 1991.
• Descrizione fisica: 1 online resource (XII, 262 p.)
• Disciplina: 519
• Soggetto topico: Mathematics; Applications of Mathematics
• Note generali: "With 87 Illustrations."
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: I. Density Smoothing -- 1. The Histogram -- 2. Kernel Density Estimation -- 3. Further Density Estimators -- 4. Bandwidth Selection in Practice -- II. Regression Smoothing -- 5. Nonparametric Regression -- 6. Bandwidth Selection -- 7. Simultaneous Error Bars -- Tables -- Solutions -- List of Used S Commands -- Symbols and Notation -- References.
• Sommario/riassunto: 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.
• Titolo autorizzato: Smoothing techniques
• ISBN: 1-4612-4432-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910958625303321
• Lo trovi qui: Univ. Federico II
• Serie: Springer Series in Statistics, . 2197-568X