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02330nam a22004815i 4500 |
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978-3-540-87557-4 |
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DE-He213 |
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20151204144025.0 |
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cr nn 008mamaa |
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100301s2009 gw | s |||| 0|eng d |
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|a 9783540875574
|9 978-3-540-87557-4
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|a 10.1007/978-3-540-87557-4
|2 doi
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|d GrThAP
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|a QA273.A1-274.9
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|a QA274-274.9
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|a MAT029000
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|a 519.2
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|a Meister, Alexander.
|e author.
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|a Deconvolution Problems in Nonparametric Statistics
|h [electronic resource] /
|c by Alexander Meister.
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| 264 |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2009.
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| 300 |
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|a VI, 210 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
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Lecture Notes in Statistics,
|x 0930-0325 ;
|v 193
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|a Density Deconvolution -- Nonparametric Regression with Errors-in-Variables -- Image and Signal Reconstruction.
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| 520 |
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|a This book gives an introduction to deconvolution problems in nonparametric statistics, e.g. density estimation based on contaminated data, errors-in-variables regression, and image reconstruction. Some real-life applications are discussed while we mainly focus on methodology (description of the estimation procedures) and theory (minimax convergence rates with rigorous proofs and adaptive smoothing parameter selection). In general, we have tried to present the proofs in such manner that only a low level of previous knowledge is needed. An appendix chapter on further results of Fourier analysis is also provided.
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|a Mathematics.
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|a Probabilities.
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|a Statistics.
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|a Mathematics.
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| 650 |
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|a Probability Theory and Stochastic Processes.
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| 650 |
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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 9783540875567
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| 830 |
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|a Lecture Notes in Statistics,
|x 0930-0325 ;
|v 193
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|u http://dx.doi.org/10.1007/978-3-540-87557-4
|z Full Text via HEAL-Link
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|a ZDB-2-SMA
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| 950 |
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|a Mathematics and Statistics (Springer-11649)
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