Statistical Analysis of Complex data sets with Robust Statistical methods

April 12, 2007 Robust statistical analysis methods capable of dealing with large complex data sets are required more than ever before in almost all branches of science. The European Science Foundation’s three-year SACD network, which was completed in December 2006, developed new methods for extracting key structural features within the data. Such features can include outlying values that may be particularly significant within the increasingly large and complex data sets generated in financial markets, medical diagnostics, environmental surveys, and other sources.

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