Convergence of Random Variables and Measurable Functions
J. C. Taylor
Additional contact information
J. C. Taylor: McGill University, Department of Mathematics and Statistics
Chapter Chapter IV in An Introduction to Measure and Probability, 1997, pp 137-209 from Springer
Abstract:
Abstract In what follows, the results will be stated and proved for probability spaces. Their extension to general σ-finite measure spaces are to be taken for granted unless commented upon. The probabilist’s notation E[X] for the integral ∫ XdP or ∫ Xdµ will be used frequently.
Keywords: Lebesgue Measure; Measure Space; Borel Function; Lebesgue Point; Uniform Integrability (search for similar items in EconPapers)
Date: 1997
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4612-0659-0_4
Ordering information: This item can be ordered from
http://www.springer.com/9781461206590
DOI: 10.1007/978-1-4612-0659-0_4
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().