Smoothing Techniques With Implementation in S
Aus der Reihe
Springer Series in Statistics
-
- Hardcover
- Taschenbuch ausgewählt
-
Sprache:Englisch
Fr. 137.00
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
19.10.2011
Abbildungen
XII, 262 p.
Verlag
Springer UsSeitenzahl
262
Maße (L/B/H)
23.5/15.5/1.6 cm
Gewicht
423 g
Auflage
Softcover reprint of the original 1st ed. 1991
Sprache
Englisch
ISBN
978-1-4612-8768-1
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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