Smoothing Techniques - With Implementation in S (Hardcover, 1991 ed.)

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:	December 1990
First published:	1991
Authors:	Wolfgang Hardle
Dimensions:	234 x 156 x 17mm (L x W x T)
Format:	Hardcover
Pages:	262
Edition:	1991 ed.
ISBN-13:	978-0-387-97367-8
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	0-387-97367-2
Barcode:	9780387973678

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!