Probability and measure
著者
書誌事項
Probability and measure
（Wiley series in probability and mathematical statistics）
Wiley, c1995
3rd ed
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注記
Bibliography: p. 581-583
Includes index: p. 587-593, list of symbols: p. 585-586
"A Wiley-Interscience Publication"
内容説明・目次
内容説明
PROBABILITY AND MEASURE Third Edition Now in its new third edition, Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining the unique approach of the previous editions, this text interweaves material on probability and measure, so that probability problems generate an interest in measure theory and measure theory is then developed and applied to probability. Probability and Measure provides thorough coverage of probability, measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability, and stochastic processes. The Third Edition features an improved treatment of Brownian motion and the replacement of queuing theory with ergodic theory. Like the previous editions, this new edition will be well received by students of mathematics, statistics, economics, and a wide variety of disciplines that require a solid understanding of probability theory.
目次
- Probability.
- Measure.
- Integration.
- Random Variables and Expected Values.
- Convergence of Distributions.
- Derivatives and Conditional Probability.
- Stochastic Processes.
- Appendix.
- Notes on the Problems.
- Bibliography.
- List of Symbols.
- Index.
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