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02181nam a22004335i 4500 |
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978-0-387-22638-5 |
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DE-He213 |
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20151204165251.0 |
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cr nn 008mamaa |
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100301s1999 xxu| s |||| 0|eng d |
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|a 9780387226385
|9 978-0-387-22638-5
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|a 10.1007/b97679
|2 doi
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|d GrThAP
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|a QA276-280
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|a PBT
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|a MAT029000
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|a 519.5
|2 23
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|a Efromovich, Sam.
|e author.
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|a Nonparametric Curve Estimation
|h [electronic resource] :
|b Methods, Theory, and Applications /
|c by Sam Efromovich.
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| 264 |
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|a New York, NY :
|b Springer New York,
|c 1999.
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| 300 |
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|a XIV, 414 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
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|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Springer Series in Statistics,
|x 0172-7397
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|a Orthonormal Series and Approximation -- Density Estimation for Small Samples -- Nonparametric Regression for Small Samples -- Nonparametric Time Series Analysis for Small Samples -- Estimation of Multivariate Functions for Small Samples -- Filtering and Asymptotics -- Nonseries Methods.
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| 520 |
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|a Appropriate for a one-semester course, this self-contained book is an introduction to nonparametric curve estimation theory. It may be used for teaching graduate students in statistics (in this case an intermediate statistical inference, on the level of the book by G. Casella and R. Berger (1990) "Statistical Inference", Brooks/Cole, is the prerequisite) as well as for diverse classes with students from other sciences including engineering, business, social, medical, and biology.
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|a Statistics.
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|a Statistics.
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|a Statistical Theory and Methods.
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| 710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9780387987408
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| 830 |
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|a Springer Series in Statistics,
|x 0172-7397
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| 856 |
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|u http://dx.doi.org/10.1007/b97679
|z Full Text via HEAL-Link
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|a ZDB-2-SMA
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| 912 |
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|a ZDB-2-BAE
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|a Mathematics and Statistics (Springer-11649)
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