Measure, integral and probability /
Capiński, Marek, 1951-
Measure, integral and probability / by Marek Capiński and Ekkehard Kopp. - 2nd ed. - London ; New York : Springer, c2004. - xv, 311 p. ; 23 cm. - Springer undergraduate mathematics series, .
Includes bibliographical references ( p. 305) and index.
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.
"Measure, Integral and Probability is a 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 examples rather than abstract theory."--Jacket.
9781852337810 (pbk)
2004040204
Measure theory.
Integrals, Generalized.
Probabilities.
515.42 / CAP-M 2004 10615
Measure, integral and probability / by Marek Capiński and Ekkehard Kopp. - 2nd ed. - London ; New York : Springer, c2004. - xv, 311 p. ; 23 cm. - Springer undergraduate mathematics series, .
Includes bibliographical references ( p. 305) and index.
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.
"Measure, Integral and Probability is a 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 examples rather than abstract theory."--Jacket.
9781852337810 (pbk)
2004040204
Measure theory.
Integrals, Generalized.
Probabilities.
515.42 / CAP-M 2004 10615