Nonparametric curve estimation
methods, theory and applications
by Sam Efromovich
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"This book gives a systematic, comprehensive, and unified account of modern nonparametric statistics of density estimation nonparametric regression, filtering signals, and time series analysis. The coverage is suitable for a one-semester course for advanced undergraduate and graduate students with majors ranging from statistics and engineering to medicine, business, and the social sciences. The prerequisites are intermediate calculus and introductory probability.
Numerous exercises of various levels of difficulty, given at the end of each chapter, will be very useful for the instructor and for self-study."--BOOK JACKET.
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Subjects
Nonparametric statistics, Estimation theoryShowing 3 featured editions. View all 3 editions?
| Edition | Availability |
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1
Nonparametric Curve Estimation: "Methods, Theory, And Applications"
Mar 23, 2013, Springer
paperback
1475773013 9781475773019
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2
Nonparametric Curve Estimation: Methods, Theory, and Applications
2008, Springer London, Limited
in English
0387226389 9780387226385
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3
Nonparametric curve estimation: methods, theory and applications
1999, Springer
in English
0387987401 9780387987408
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Book Details
Edition Notes
Includes bibliographical references (p. [394]-402) and index.
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| July 17, 2024 | Edited by MARC Bot | import existing book |
| April 27, 2020 | Edited by ImportBot | import new book |
| April 28, 2010 | Edited by Open Library Bot | Linked existing covers to the work. |
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| December 7, 2009 | Created by WorkBot | new work |