Probability and Measure (Wiley Series in Probability and Statistics) - Hardcover
Book 83 of 355: Wiley Series in Probability and Statistics
Synopsis
Borel's normal number theorem, proved by calculus alone, followed by short sections that establish the existence and fundamental properties of probability measures, presenting lebesque measure on the unit interval. Coverage includes key topics in measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability and stochastic processes.
"synopsis" may belong to another edition of this title.
From the Back Cover
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.
About the Author
PATRICK BILLINGSLEY is Professor of Statistics and Mathematics at the University of Chicago. He is the coauthor (with Watson et al.) of Statistics for Management and Economics; (with D. L. Huntsberger) of Elements of Statistical Inference; and the author of Convergence of Probability Measures (Wiley–Interscience), among other works. Dr. Billingsley has also edited the Annals of Probability for the Institute of Mathematical Statistics. He received his PhD in mathematics from Princeton University.
"About this title" may belong to another edition of this title.
Search results for Probability and Measure (Wiley Series in Probability...
Stock Image
Probability and Measure (Wiley Series in Probability and Statistics)
Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less. Seller Inventory # G0471804789I5N00
Seller Image
Probability and Measure (Wiley Series in Probability and Statistics)
Seller: Zoom Books Company, Lynden, WA, U.S.A.
Seller rating 5 out of 5 stars
Condition: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service. Seller Inventory # ZBV.0471804789.VG
Stock Image
Probability and Measure. Second edition. Wiley Series in Probability and Statistics
Seller: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
Seller rating 5 out of 5 stars
Condition: Very Good. 2nd edition; 622 pp., hardcover, lacks the jacket, else very good. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Seller Inventory # ZB1343665
Stock Image
Probability and Measure (Wiley Series in Probability and Statistics)
Seller: GoldBooks, Denver, CO, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: new. New Copy. Customer Service Guaranteed. Seller Inventory # 16F38_48_0471804789