Measure Theory /
This book is different from other books on measure theory in that it accepts probability theory as an essential part of measure theory. This means that many examples are taken from probability; that probabilistic concepts such as independence, Markov processes, and conditional expectations are integ...
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York,
1994.
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| Series: | Graduate texts in mathematics ;
143. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | This book is different from other books on measure theory in that it accepts probability theory as an essential part of measure theory. This means that many examples are taken from probability; that probabilistic concepts such as independence, Markov processes, and conditional expectations are integrated into the text rather than being relegate to an appendix; that more attention is paid to the role of algebras than is customary; and that the metric defining the distance between sets as the measure of their symmetric difference is exploited more than is customary. |
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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (xii, 212 pages) |
| ISBN: | 9781461208778 (electronic bk.) 1461208777 (electronic bk.) |
| ISSN: | 0072-5285 ; |