Hubert Theory and Applications of Recent Robust Methods

Theory and Applications of Recent Robust Methods

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Beschreibung

This book contains recent contributions to the theory and applications of robust statistics, presented at the International Conference on Robust Statistics (ICORS 2003) in Antwerp, Belgium. The papers deal with various aspects of robustness, including algorithms, asymptotics, inference and diagnostics. Many contributions contain links to other fields, such as computer vision, computational geometry, chemometrics and finance. Intended for both researchers and practitioners, this book will be a valuable resource for studying and applying recent robust statistical methods.


Contains up-to-date research results in the theory of robust statistics Treats computational aspects and algorithms Shows interesting and new applications

Autor*in

Mia Hubert

Themen in »Theory and Applications of Recent Robust Methods«

Likelihood Markov Chain Vibration algorithms calculus geometry linear regression mathematical statistics model programming robust statistics simulation statistical method statistics transformation

Stimmen zu »Theory and Applications of Recent Robust Methods«

Details

ISBN: 9783764370602
Verlag: Springer Basel
Erscheinung: 25.06.2004

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