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.
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The International Conference for Robust Statistics 2003, ICORS 2003, took place at the University of Antwerp, Belgium, from July 13-18. The conference was intended to be a forum where all aspects of robust statistics could be discussed. As such the scientific program included a wide range of talks on new developments and practice of robust statistics, with applications to finance, chemistry, engineering, and other fields. Of equal interest were interactions between robustness and other fields of statistics, and science in general. This volume offers a wide range of papers that were presented at the conference. Several articles primarily contain new methods and theoretical results, while others investigate empirical properties, discuss computational aspects, or emphasize applications of robust methods. 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.
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