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EBOOK
Author Meister, Alexander.
Title Deconvolution problems in nonparametric statistics / Alexander Meister.
Imprint Berlin : Springer, 2009.

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
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LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Author Meister, Alexander.
Series Lecture notes in statistics ; 193
Lecture notes in statistics (Springer-Verlag) ; 193.
Subject Nonparametric statistics.
Convolutions (Mathematics)
Error analysis (Mathematics)
Description 1 online resource (vi, 210 pages).
polychrome rdacc
Bibliography Note Includes bibliographical references.
Contents Introduction -- Density Deconvolution -- Nonparametric Regression with Errors-in-variables -- Image and Signal Reconstruction -- Tools from Fourier Analysis.
Summary 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.
Note Print version record.
ISBN 9783540875574
3540875573
9783540875567 (pbk.)
3540875565 (pbk.)
ISBN/ISSN 9786612827068
OCLC # 534951169
Additional Format Print version: Meister, Alexander. Deconvolution problems in nonparametric statistics. Berlin : Springer, 2009 9783540875567 3540875565 (DLC) 2008940961 (OCoLC)269435316


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