Editors:
- Contains up-to-date research results in the theory of robust statistics
- Treats computational aspects and algorithms
- Shows interesting and new applications
Part of the book series: Statistics for Industry and Technology (SIT)
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Table of contents (34 papers)
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Front Matter
Editors and Affiliations
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Department of Mathematics, Katholieke Universiteit Leuven, Leuven, Belgium
Mia Hubert
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Department of Applied Mathematics and Computer Science, Ghent University, Gent, Belgium
Greet Pison, Stefan Aelst
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Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium
Anja Struyf
Bibliographic Information
Book Title: Theory and Applications of Recent Robust Methods
Editors: Mia Hubert, Greet Pison, Anja Struyf, Stefan Aelst
Series Title: Statistics for Industry and Technology
DOI: https://doi.org/10.1007/978-3-0348-7958-3
Publisher: Birkhäuser Basel
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eBook Packages: Springer Book Archive
Copyright Information: Springer Basel AG 2004
Hardcover ISBN: 978-3-7643-7060-2Published: 25 June 2004
Softcover ISBN: 978-3-0348-9636-8Published: 05 November 2012
eBook ISBN: 978-3-0348-7958-3Published: 06 December 2012
Series ISSN: 2364-6241
Series E-ISSN: 2364-625X
Edition Number: 1
Number of Pages: XI, 400
Topics: Statistical Theory and Methods, Statistics and Computing/Statistics Programs, Statistics for Business, Management, Economics, Finance, Insurance