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Titlebook: Statistical Modeling, Analysis and Management of Fuzzy Data; Carlo Bertoluzza,María-Ángeles Gil,Dan A. Ralescu Book 2002 Springer-Verlag B

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Statistical classes and fuzzy set theoretical classification of probability distributionsses we introduce level sets with the help of which set-theoretic operations over statistical classes are defined. Particularly, we define measures of mutual inclusion and equality of arbitrary classes that provide the classification problem solution. We also show that these measures are well justifi
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Possibilistic interpretation of fuzzy statistical tests.-value, significance) has been generalised to the case of fuzzy data. Indices of the possibility and necessity of dominance have been used for the comparison of null and alternative hypotheses. An example from statistical quality control is given.
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Traditional techniques to prove some limit theorems for fuzzy random variablesill study a strong law of large numbers (whose proof will suggest a characterization of the uniform convergence) and a strong law of the iterated logarithm. Furthermore, we will check the relationships between these techniques and the ones used by Molchanov to prove a SLLN for the same random elements.
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Statistical classes and fuzzy set theoretical classification of probability distributionsed and consider connection between introduced structure and traditional axiomatic theory of fuzzy sets. Further we algebraically generalize the concept of statistical classes and investigate the connection of generalized classes with the possibility theory.
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Book 20091st editionarea of medicine this text aims to bring the latest understanding of the pathophysiology together with a practical guide to diagnosis and management using a thoroughly evidence based approach. This will appeal to a wide audience of health care professionals who will treat patients with acute heart f
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