Probability and Measure

Now in its new third edition, "Probability and Measure" offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability.

List of contents

From the 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

Product details

• Authors: Patrick Billingsley
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Hardback
• Released: 26.05.1995
• EAN: 9780471007104
• ISBN: 978-0-471-00710-4
• No. of pages: 608
• Series: Wiley Series in Probability and Mathematical Statistics; Wiley Series in Probability and Mathematical Statistics
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics