Isbn: 9786132742698 - algebra of random variables: algebra, axiom, probability theory, representation theorem, measure (mathematics), linear functional, free probability, quantum probability (3 resultados)

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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 92 pp. Englisch.

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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. In the algebraicaxiomatization of probability theory, the primary concept is not that ofprobability of an event, but rather that of a random variable.Probability distributions are determined by assigning an expectation toeach random variable. The measurable space and the probability measurearise from the random variables and expectations by means of well-knownrepresentation theorems of analysis. One of the important features ofthe algebraic approach is that apparently infinite-dimensionalprobability distributions are not harder to formalize thanfinite-dimensional ones.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch.…

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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. In the algebraicaxiomatization of probability theory, the primary concept is not that ofprobability of an event, but rather that of a random variable.Probability distributions are determined by assigning an expectation toeach random variable. The measurable space and the probability measurearise from the random variables and expectations by means of well-knownrepresentation theorems of analysis. One of the important features ofthe algebraic approach is that apparently infinite-dimensionalprobability distributions are not harder to formalize thanfinite-dimensional ones.…