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Smoothing Techniques - With Implementation in S (Paperback, Softcover reprint of the original 1st ed. 1991) Loot Price: R2,647
Discovery Miles 26 470
Repayment Terms: R248 pm x 12*
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Smoothing Techniques - With Implementation in S (Paperback, Softcover reprint of the original 1st ed. 1991): Wolfgang Hardle

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

Wolfgang Hardle

Series: Springer Series in Statistics

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Loot Price R2,647 Discovery Miles 26 470 | Repayment Terms: R248 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: 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
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LSN: 1-4612-8768-5
Barcode: 9781461287681

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