The analysis of experimental data resulting from some underlying
random process is a fundamental part of most scientific research.
Probability Theory and Statistics have been developed as flexible
tools for this analyis, and have been applied successfully in
various fields such as Biology, Economics, Engineering, Medicine or
Psychology. However, traditional techniques in Probability and
Statistics were devised to model only a singe source of
uncertainty, namely randomness. In many real-life problems
randomness arises in conjunction with other sources, making the
development of additional "softening" approaches essential. This
book is a collection of papers presented at the 2nd International
Conference on Soft Methods in Probability and Statistics
(SMPS'2004) held in Oviedo, providing a comprehensive overview of
the innovative new research taking place within this emerging
field.
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