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...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Heidelberg
Physica-Verlag HD
2002, 2002
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| Edition: | 1st ed. 2002 |
| Series: | Advances in Intelligent and Soft Computing
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
| 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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| Physical Description: | X, 372 p. 26 illus online resource |
| ISBN: | 9783790817737 |