Overview
- Gives a general unifying approach to statistical deconvolution topics with easy to understand proofs and applications
Part of the book series: Lecture Notes in Statistics (LNS, volume 193)
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Table of contents (4 chapters)
Keywords
About this book
Reviews
From the reviews:
“This book gives an introduction to deconvolution problems in nonparametric statistics. … The author intends to provide a comprehensive overview on results derived during the last twenty years and to give a discussion on modern and recently solved problems. … The main target group of readers are scientists and graduate students working in mathematical statistics. … the book is also interesting for people working in econometrics, biometrics, and other fields of applied statistics.” (Hannelore Liero, Zentralblatt MATH, Vol. 1178, 2010)
“Research workers in mathematical statistics. … The target readership is described as ‘scientists and graduate students working in the field of mathematical statistics’ … . Throughout, there are lots of proofs and derivations, particularly involving estimation consistency and convergence rates. … This looks to me like an excellent book for the specialist – a thorough, detailed, rigorous treatment of a particular field.” (Martin Crowder, International Statistical Review, Vol. 78 (1), 2010)
“Deconvolution problems occur in many topics of nonparametric statistics with ample applications in other scientific fields. This book focuses on methodology and theory rather than computational aspects and programming. … In summary, this book is quite theoretical. It is written in a tutorial style and it makes a good self-teaching monograph for the methodology and theory development of deconvolution problems.” (Su-Yun Chen Huang, Mathematical Reviews, Issue 2012 h)
Authors and Affiliations
Bibliographic Information
Book Title: Deconvolution Problems in Nonparametric Statistics
Authors: Alexander Meister
Series Title: Lecture Notes in Statistics
DOI: https://doi.org/10.1007/978-3-540-87557-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Softcover ISBN: 978-3-540-87556-7Published: 25 March 2009
eBook ISBN: 978-3-540-87557-4Published: 24 December 2009
Series ISSN: 0930-0325
Series E-ISSN: 2197-7186
Edition Number: 1
Number of Pages: VI, 210
Topics: Probability Theory and Stochastic Processes, Statistical Theory and Methods