Authors:
- Recent developments in Soft Computing and Statistics
- Proceedings of the 2nd International Conference on Soft Methods in Probability and Statistics (SMPS’2004)
Part of the book series: Advances in Intelligent and Soft Computing (AINSC, volume 26)
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Table of contents (97 papers)
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Front Matter
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Keynote Papers
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Front Matter
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Soft Methodology and Probability
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Front Matter
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About this book
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.
Authors and Affiliations
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Fac. Ciencias, Dpto. Estadística e I.O.y.D.M., Universidad de Oviedo, Oviedo, Spain
Miguel López-Díaz, María Á. Gil
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Inst. Systems Research, PAN Warszawa, Warszawa, Poland
Przemysław Grzegorzewski, Olgierd Hryniewicz
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Dept. Engineering Mathematics, University Bristol, Bristol, UK
Jonathan Lawry
Bibliographic Information
Book Title: Soft Methodology and Random Information Systems
Authors: Miguel López-Díaz, María Á. Gil, Przemysław Grzegorzewski, Olgierd Hryniewicz, Jonathan Lawry
Series Title: Advances in Intelligent and Soft Computing
DOI: https://doi.org/10.1007/978-3-540-44465-7
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2004
Softcover ISBN: 978-3-540-22264-4Published: 30 July 2004
eBook ISBN: 978-3-540-44465-7Published: 05 June 2013
Series ISSN: 1867-5662
Series E-ISSN: 1867-5670
Edition Number: 1
Number of Pages: XIV, 761
Number of Illustrations: 19 b/w illustrations, 6 illustrations in colour
Topics: Applications of Mathematics, Mathematical and Computational Engineering, Artificial Intelligence, IT in Business