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A distribution-free theory of nonparametric regression / László Györfi ... [and others].
Van Pelt Library QA278.2 .D57 2002
By Request
- Format:
- Book
- Series:
- Springer series in statistics
- Language:
- English
- Subjects (All):
- Regression analysis.
- Nonparametric statistics.
- Distribution (Probability theory).
- Physical Description:
- xvi, 647 pages : illustrations ; 25 cm.
- Place of Publication:
- New York : Springer, [2002]
- Summary:
- This monograph presents a modern approach to nonparametric regression with random design. The relevant mathematical theory is systematically developed and requires only a basic knowledge of probability theory. The book will be a valuable reference for anyone interested in nonparametric regression and is a rich source of many useful mathematical techniques widely scattered in the literature. In particular, the book introduces the reader to empirical process theory, martingales and approximation properties of neural networks.
- Notes:
- Includes bibliographical references (pages [612]-638) and indexes.
- Local Notes:
- Acquired for the Penn Libraries with assistance from the Hazel M. Hussong Fund.
- ISBN:
- 0387954414
- OCLC:
- 49284154
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