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Measure, integral and probability /

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Measure, Integral and Probability is a gentle introduction that makes measure and integration theory accessible to the average third-year undergraduate student. The ideas are developed at an easy pace in a form that is suitable for self-study, with an emphasis on clear explanations and concrete exam...

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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, [2004]
Edition:Second edition.
Series:Springer undergraduate mathematics series.
Subjects:
Measure theory.
Integrals, Generalized.
Probabilities.
Probabilidade.
Mesure, Théorie de la.
Intégrales généralisées.
Probabilites.
Lebesgue-Integral.
Wahrscheinlichkeitstheorie.
Ma€theorie.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 1. Motivation and preliminaries
  • 2. Measure
  • 3. Measurable functions
  • 4. Integral
  • 5. Spaces of integrable functions
  • 6. Product measures
  • 7. The Radon-Nikodym theorem
  • 8. Limit theorems
  • Solutions
  • Appendix
  • References
  • Index.