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Item Details
Title:
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PARTIALLY LINEAR MODELS
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By: |
Wolfgang Hardle, Hua Liang, Jiti Gao |
Format: |
Paperback |
List price:
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£89.99 |
We currently do not stock this item, please contact the publisher directly for
further information.
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ISBN 10: |
3790813001 |
ISBN 13: |
9783790813005 |
Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
Pub. date: |
14 September, 2000 |
Edition: |
Softcover reprint of the original 1st ed. 2000 |
Series: |
Contributions to Statistics |
Pages: |
206 |
Description: |
This monograph on partially linear regression techniques emphasizes methodologies rather than theory, and focuses on applications in statistical problems, including least squares regression, asymptotically efficient estimation, bootstrap resampling, and censores data analysis. |
Synopsis: |
In the last ten years, there has been increasing interest and activity in the general area of partially linear regression smoothing in statistics. Many methods and techniques have been proposed and studied. This monograph hopes to bring an up-to-date presentation of the state of the art of partially linear regression techniques. The emphasis is on methodologies rather than on the theory, with a particular focus on applications of partially linear regression techniques to various statistical problems. These problems include least squares regression, asymptotically efficient estimation, bootstrap resampling, censored data analysis, linear measurement error models, nonlinear measurement models, nonlinear and nonparametric time series models. |
Illustrations: |
11 black & white tables, biography |
Publication: |
Germany |
Imprint: |
Physica-Verlag GmbH & Co |
Returns: |
Returnable |
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