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Item Details
| Title:
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SMOOTHING TECHNIQUES
WITH IMPLEMENTATION IN S |
| By: |
Wolfgang Hardle |
| Format: |
Hardback |
| 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: |
0387973672 |
| ISBN 13: |
9780387973678 |
| Publisher: |
SPRINGER-VERLAG NEW YORK INC. |
| Pub. date: |
5 December, 1990 |
| Edition: |
1991 ed. |
| Series: |
Springer Series in Statistics |
| Pages: |
274 |
| Description: |
Offers a non-technical introduction into the area of non-parametric density and regression function estimation. This book describes the method of WARPing. It is suitable for both the theoretical and applied statistician. It is also intended to be used as an undergraduate text. |
| 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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