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  • 1
    UID:
    almahu_9949198392402882
    Format: XIII, 394 p. , online resource.
    Edition: 1st ed. 2002.
    ISBN: 9789401599320
    Series Statement: Theory and Decision Library B, Mathematical and Statistical Methods ; 43
    Content: After the pioneering works by Robbins {1944, 1945) and Choquet (1955), the notation of a set-valued random variable (called a random closed set in literatures) was systematically introduced by Kendall {1974) and Matheron {1975). It is well known that the theory of set-valued random variables is a natural extension of that of general real-valued random variables or random vectors. However, owing to the topological structure of the space of closed sets and special features of set-theoretic operations ( cf. Beer [27]), set-valued random variables have many special properties. This gives new meanings for the classical probability theory. As a result of the development in this area in the past more than 30 years, the theory of set-valued random variables with many applications has become one of new and active branches in probability theory. In practice also, we are often faced with random experiments whose outcomes are not numbers but are expressed in inexact linguistic terms.
    Note: I Limit Theorems of Set-Valued and Fuzzy Set-Valued Random Variables -- 1. The Space of Set-Valued Random Variables -- 2. The Aumann Integral and the Conditional Expectation of a Set-Valued Random Variable -- 3. Strong Laws of Large Numbers and Central Limit Theorems for Set-Valued Random Variables -- 4. Convergence Theorems for Set-Valued Martingales -- 5. Fuzzy Set-Valued Random Variables -- 6. Convergence Theorems for Fuzzy Set-Valued Random Variables -- 7. Convergences in the Graphical Sense for Fuzzy Set-Valued Random Variables -- II Practical Applications of Set-Valued Random Variables -- 8. Mathematical Foundations for the Applications of Set-Valued Random Variables -- 9. Applications to Imaging -- 10. Applications to Data Processing.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789048161393
    Additional Edition: Printed edition: ISBN 9781402009181
    Additional Edition: Printed edition: ISBN 9789401599337
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    gbv_744995000
    Format: Online-Ressource (XIII, 394 p) , digital
    Edition: Springer eBook Collection. Business and Economics
    ISBN: 9789401599320
    Series Statement: Theory and Decision Library, Series B: Mathematical and Statistical Methods 43
    Content: This book presents a clear, systematic treatment of convergence theorems of set-valued random variables (random sets) and fuzzy set-valued random variables (random fuzzy sets). Topics such as strong laws of large numbers and central limit theorems, including new results in connection with the theory of empirical processes are covered. The author's own recent developments on martingale convergence theorems and their applications to data processing are also included. The mathematical foundations along with a clear explanation such as Hölmander's embedding theorem, notions of various convergence of sets and fuzzy sets, Aumann integrals, conditional expectations, selection theorems, measurability and integrability arguments for both set-valued and fuzzy set-valued random variables and newly obtained optimizations techniques based on invariant properties are also given
    Additional Edition: ISBN 9789048161393
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9789048161393
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781402009181
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9789401599337
    Language: English
    URL: Volltext  (lizenzpflichtig)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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