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"This book provides an overview of the theory, methods, and application of local regression and likelihood. The first five chapters introduce the problems, first in the local regression setting, followed by extensions to likelihood-based regression models and density estimation. The remaining chapters cover a range of advanced topics and applications, including robust smoothing, survival analysis, classification, and model selection issues."--BOOK JACKET.
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Edition Notes
Includes bibliographical references and index.
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- Created April 1, 2008
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September 28, 2024 | Edited by MARC Bot | import existing book |
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April 1, 2008 | Created by an anonymous user | Imported from Scriblio MARC record |