Smoothing Techniques - With Implementation in S (Paperback, Softcover reprint of the original 1st ed. 1991)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Series in Statistics
Release date:	October 2011
First published:	1991
Authors:	Wolfgang Hardle
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Paperback
Pages:	262
Edition:	Softcover reprint of the original 1st ed. 1991
ISBN-13:	978-1-4612-8768-1
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN:	1-4612-8768-5
Barcode:	9781461287681

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