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Item Details
| Title:
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SMOOTHING TECHNIQUES
WITH IMPLEMENTATION IN S |
| By: |
Wolfgang Hardle |
| Format: |
Paperback |
| List price:
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£109.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
1461287685 |
| ISBN 13: |
9781461287681 |
| Publisher: |
SPRINGER-VERLAG NEW YORK INC. |
| Pub. date: |
19 October, 2011 |
| Edition: |
Softcover reprint of the original 1st ed. 1991 |
| Series: |
Springer Series in Statistics |
| Pages: |
274 |
| Synopsis: |
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. |
| Illustrations: |
biography |
| Publication: |
US |
| Imprint: |
Springer-Verlag New York Inc. |
| Returns: |
Returnable |
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