Measure Theory
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Author
Publication
2012-10-02 - Springer
Word Count
57,000 words, Guess
Page Count
228 pages
Physical Format
Paperback
Identifiers
- Open LibraryOL27959613M
- ISBN-139781461269311
- ISBN-101461269318
Classifications
- LCCQA331.5
Description
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.
Subjects
Topics
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