Probability and Measure, Third Edition (Wiley Series in Probability and Statistics)
Patrick Billingsley
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.
Categories:
Year:
1995
Edition:
3
Publisher:
Wiley-Interscience
Language:
english
Pages:
608
ISBN 10:
0471007102
ISBN 13:
9780471007104
Series:
Wiley Series in Probability and Statistics
File:
PDF, 21.88 MB
IPFS:
,
english, 1995
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