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Limit Theorems and Applications of Set-Valued and Fuzzy Set-Valued Random Variables: 43 (Theory and Decision Library B, 43) - Hardcover
Synopsis
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.
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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.
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Limit Theorems and Applications of Set-Valued and Fuzzy Set-Valued Random Variables
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Hardcover. Condition: Fine. Signed. First Edition. No DJ. Signed and inscribed to previous owner by Vladik Kreinovich. Previous owner was Dr. Lofti A. Zadeh, Professor, University of California, Berkeley. No other markings in book. Lightly read. Lotfi Zadeh is credited, along with John R. Ragazzini, in 1952, with having pioneered the development of the z-transform method in discrete time signal processing and analysis. These methods are now standard in digital signal processing, digital control, and other discrete-time systems used in industry and research. He is an editor of International Journal of Computational Cognition. 391pp. Seller Inventory # 3007733
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Limit Theorems and Applications of Set-Valued and Fuzzy Set-Valued Random Variables (Theory and Decision Library B, 43)
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Limit Theorems and Applications of Set-Valued and Fuzzy Set-Valued Random Variables
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Limit Theorems and Applications of Set-Valued and Fuzzy Set-Valued Random Variables
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Limit Theorems and Applications of Set-Valued and Fuzzy Set-Valued Random Variables
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ISBN 10: 1402009186
ISBN 13: 9781402009181
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 412 pp. Englisch. Seller Inventory # 9781402009181
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Limit Theorems and Applications of Set-Valued and Fuzzy Set-Valued Random Variables
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Limit Theorems and Applications of Set-Valued and Fuzzy Set-Valued Random Variables
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 th. Seller Inventory # 4092206
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Limit Theorems and Applications of Set-Valued and Fuzzy Set-Valued Random Variables
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Kluwer Boston Incorporated, 2002
ISBN 10: 1402009186
ISBN 13: 9781402009181
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Condition: New. Presents a systematic treatment of convergence theorems of set-valued random variables and fuzzy set-valued random variables. This book includes the author's developments on martingale convergence theorems and their applications to data processing. Series: Theory and Decision Library B. Num Pages: 394 pages, biography. BIC Classification: PBCH; PBWX. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 23. Weight in Grams: 752. . 2002. 2002nd Edition. hardcover. . . . . Seller Inventory # V9781402009181
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Limit Theorems and Applications of Set-Valued and Fuzzy Set-Valued Random Variables
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9781402009181