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|a 10.1007/978-3-7908-1773-7
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|a Soft Methods in Probability, Statistics and Data Analysis
|h [electronic resource] /
|c edited by Przemyslaw Grzegorzewski, Olgierd Hryniewicz, Maria A. Gil.
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250 |
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|a 1st ed. 2002.
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264 |
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1 |
|a Heidelberg :
|b Physica-Verlag HD :
|b Imprint: Physica,
|c 2002.
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300 |
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|a X, 372 p. 26 illus.
|b online resource.
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|a Advances in Intelligent and Soft Computing,
|x 1867-5662 ;
|v 16
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490 |
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|a Springer eBook Collection
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505 |
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|a Part I: Introductory Papers -- Part II: Soft Methods in Probability - Fundamentals -- Part III: Soft Methods in Statistics - Fuzzy Stochastic Models -- Part IV: Soft Methods in Data Analysis - Fuzzy, Rough and Other Approaches.
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520 |
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|a 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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590 |
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|a Loaded electronically.
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|a Electronic access restricted to members of the Holy Cross Community.
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650 |
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|a Probabilities.
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650 |
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|a Mathematical statistics.
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650 |
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|a Statistics .
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650 |
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|a Artificial intelligence.
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690 |
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|a Electronic resources (E-books)
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|a Grzegorzewski, Przemyslaw.
|e editor.
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700 |
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|a Hryniewicz, Olgierd.
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700 |
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|a Gil, Maria A.
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|a Advances in Intelligent and Soft Computing,
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830 |
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