Measure, integral, and probability /

The key concept is that of measure which is first developed on the real line and then presented abstractly to provide an introduction to the foundations of probability theory (the Kolmogorov axioms) which in turn opens a route to many illustrative examples and applications, including a thorough disc...

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Bibliographic Details

Main Author:	Capiński, Marek, 1951-
Corporate Author:	SpringerLink (Online service)
Other Authors:	Kopp, P. E., 1944-
Format:	eBook
Language:	English
Published:	London ; New York : Springer, [1999]
Series:	Springer undergraduate mathematics series.
Subjects:	Measure theory. Integrals, Generalized. Probabilities. Mesure, Théorie de la. Intégrales généralisées. Probabilites. Wahrscheinlichkeitstheorie. Ma€theorie. Lebesgue-Integral. Electronic books.
Online Access:	Connect to the full text of this electronic book