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Smoothing Techniques - With Implementation in S (Hardcover, 1991 ed.) Loot Price: R2,801
Discovery Miles 28 010
Repayment Terms: R262 pm x 12*
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Smoothing Techniques - With Implementation in S (Hardcover, 1991 ed.): Wolfgang Hardle

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

Wolfgang Hardle

Series: Springer Series in Statistics

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Loot Price R2,801 Discovery Miles 28 010 | Repayment Terms: R262 pm x 12*

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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
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LSN: 0-387-97367-2
Barcode: 9780387973678

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