Soft methods in probability, statistics and data analysis /
Classical probability theory and mathematical statistics appear sometimes too rigid for real life problems, especially while dealing with vague data or imprecise requirements. These problems have motivated many researchers to "soften" the classical theory. Some "softening" approa...
| Corporate Authors: | , |
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| Other Authors: | , , |
| Format: | Conference Proceeding eBook |
| Language: | English |
| Published: |
Heidelberg ; New York :
Physica-Verlag,
[2002]
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| Series: | Advances in soft computing.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | Classical probability theory and mathematical statistics appear sometimes too rigid for real life problems, especially while dealing with vague data or imprecise requirements. These problems have motivated many researchers to "soften" the classical theory. Some "softening" approaches utilize concepts and techniques developed in theories such as fuzzy sets theory, rough sets, possibility theory, theory of belief functions and imprecise probabilities, etc. Since interesting mathematical models and methods have been proposed in the frameworks of various theories, this text brings together experts representing different approaches used in soft probability, statistics and data analysis. |
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| Item Description: | Papers presented at the first International Workshop on Soft Methods in Probability and Statistics, SMPS'2002, held in Warsaw in September 2002. Electronic resource. |
| Physical Description: | 1 online resource (x, 372 pages) : illustrations. |
| Format: | Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9783790817737 (electronic bk.) 3790817732 (electronic bk.) |
| ISSN: | 1615-3871 |