Overview
Concise presentations of the relevant theory for the basic as well as up-to-date topics
Complex data structures beyond the pure treatment of robust methods
Robust methods for all fields of statistical analysis All contributions contain pointers to relevant algorithms and packages
Includes supplementary material: sn.pub/extras
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Table of contents(22 chapters)
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Complex Data Structures
About this book
Editors and Affiliations
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Halle-Wittenberg, Faculty of Law and Economics, Martin-Luther-University, Halle, Germany
Claudia Becker
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Faculty of Statistics, TU Dortmund University, Dortmund, Germany
Roland Fried, Sonja Kuhnt
About the editors
Prof. Dr. Claudia Becker is a Professor of Statistics at the Faculty of Law and Economics, Martin-Luther University Halle-Wittenberg. Her research priorities are robust statistical methods; robust statistical methods for dimension reduction in complex data structures; and statistical methods for regional economics to assess complex situations and relationships through interviews, with a particular focus on innovation and entrepreneurship research
Prof. Dr. Roland Fried has been a Professor of Statistics in Biosciences at the Faculty of Statistics, Dortmund University, since 2006. His research focuses on biostatistics; modeling spatial and temporal data; online monitoring; robust signal extraction and structural break detection, and efficient statistical computational algorithms
PD Dr. Sonja Kuhnt has held a temporary professorship at the Institute for Mathematical Statistics with Applications in Industry, Faculty for Statistics, TU Dortmund University, since 2008. Her present research fields are robust methods for categorical data and graphical models; computer algebra in statistics; offline planning of industrial processes; and acquisition of information in logistics
Bibliographic Information
Book Title: Robustness and Complex Data Structures
Book Subtitle: Festschrift in Honour of Ursula Gather
Editors: Claudia Becker, Roland Fried, Sonja Kuhnt
DOI: https://doi.org/10.1007/978-3-642-35494-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-35493-9Published: 16 May 2013
Softcover ISBN: 978-3-642-44386-2Published: 19 May 2015
eBook ISBN: 978-3-642-35494-6Published: 08 July 2014
Edition Number: 1
Number of Pages: X, 379
Topics: Statistical Theory and Methods, Statistics and Computing/Statistics Programs, Probability Theory and Stochastic Processes
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