Probability and Measure
Series: Wiley Series in Probability and Statistics;
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49 686 Ft (47 320 Ft + 5% VAT)
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Product details:
- Edition number 3rd Edition
- Publisher Wiley?Blackwell
- Date of Publication 26 May 1995
- ISBN 9780471007104
- Binding Hardback
- No. of pages608 pages
- Size 241x165x33 mm
- Weight 966 g
- Language English 0
Categories
Short description:
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.
Long description:
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.
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.
Table of Contents:
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.
Probability and Measure
49 686 HUF
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