Measure, integral and probability /

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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Detalles Bibliográficos
Clasificación:QA312 C3.67 2004
Autor principal: Capiânski, Marek, 1951- (autor)
Otros Autores: Kopp, P. E., 1944- (autor)
Formato: Libro
Idioma:Inglés
Publicado: London ; New York : Springer, [2004].
Edición:Second edition.
Colección:Springer undergraduate mathematics series ;
Temas:
Measure theory
Teoría de la medida
Integrals, Generalized
Integrales generalizadas
Probabilities
Probabilidades
Tabla de Contenidos:
  • 1. Motivation and preliminaries.
  • 2. Measure.
  • 3. Measurable functions.
  • 4. Integral.
  • 5. Spaces of integrable functions.
  • 6. Product measures.
  • 7. Radon-Nikodym theorem.
  • 8. Limit theorems.

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